From 8e6c98945b4b65d9b08bdcfec9259f16261ec53f Mon Sep 17 00:00:00 2001 From: Pawel Sarkowicz Date: Fri, 31 Jul 2026 17:05:14 -0400 Subject: [PATCH] Touched up notebooks + webapp --- .gitignore | 27 + LICENSE | 21 + README.md | 195 ++ bibliography.md | 54 + data/cache/SPY_1m_5d.csv | 1952 +++++++++++++++++ data/cache/SPY_5m_1mo.csv | 1640 ++++++++++++++ data/cache/SPY_5m_5d.csv | 392 ++++ docker-compose.webapp.proxy.yml | 16 + docker-compose.webapp.yml | 9 + .../01_random_walks_to_brownian_motion.ipynb | 928 ++++++++ ...02_geometric_brownian_motion_and_ito.ipynb | 710 ++++++ ...rst_passage_and_reflection_principle.ipynb | 727 ++++++ ...rownian_bridges_and_miss_probability.ipynb | 817 +++++++ notebooks/05_adaptive_barrier_monitor.ipynb | 941 ++++++++ pyproject.toml | 39 + requirements-dev.txt | 2 + requirements-webapp.txt | 2 + requirements.txt | 2 + src/adaptive_barrier/__init__.py | 37 + src/adaptive_barrier/engine.py | 781 +++++++ tests/conftest.py | 10 + tests/test_engine.py | 146 ++ tests/test_webapp.py | 82 + webapp.md | 89 + webapp/Dockerfile | 23 + webapp/__init__.py | 1 + webapp/app.py | 123 ++ webapp/static/app.css | 475 ++++ webapp/static/app.js | 373 ++++ webapp/static/favicon.svg | 4 + webapp/static/index.html | 206 ++ 31 files changed, 10824 insertions(+) create mode 100644 .gitignore create mode 100644 LICENSE create mode 100644 README.md create mode 100644 bibliography.md create mode 100644 data/cache/SPY_1m_5d.csv create mode 100644 data/cache/SPY_5m_1mo.csv create mode 100644 data/cache/SPY_5m_5d.csv create mode 100644 docker-compose.webapp.proxy.yml create mode 100644 docker-compose.webapp.yml create mode 100644 notebooks/01_random_walks_to_brownian_motion.ipynb create mode 100644 notebooks/02_geometric_brownian_motion_and_ito.ipynb create mode 100644 notebooks/03_first_passage_and_reflection_principle.ipynb create mode 100644 notebooks/04_brownian_bridges_and_miss_probability.ipynb create mode 100644 notebooks/05_adaptive_barrier_monitor.ipynb create mode 100644 pyproject.toml create mode 100644 requirements-dev.txt create mode 100644 requirements-webapp.txt create mode 100644 requirements.txt create mode 100644 src/adaptive_barrier/__init__.py create mode 100644 src/adaptive_barrier/engine.py create mode 100644 tests/conftest.py create mode 100644 tests/test_engine.py create mode 100644 tests/test_webapp.py create mode 100644 webapp.md create mode 100644 webapp/Dockerfile create mode 100644 webapp/__init__.py create mode 100644 webapp/app.py create mode 100644 webapp/static/app.css create mode 100644 webapp/static/app.js create mode 100644 webapp/static/favicon.svg create mode 100644 webapp/static/index.html diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..5e6c1c7 --- /dev/null +++ b/.gitignore @@ -0,0 +1,27 @@ +# Python +__pycache__/ +*.py[cod] +*.egg-info/ +*.egg +build/ +dist/ + +# Jupyter +.ipynb_checkpoints/ + +# Generated notebook figures (regenerated on execution) +images/ + +# Testing / tooling +.pytest_cache/ +.mypy_cache/ +.ruff_cache/ + +# Virtual environments +.venv/ +venv/ + +# OS / editor +.DS_Store +.idea/ +.vscode/ diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..39305af --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2026 Pawel Sarkowicz + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md new file mode 100644 index 0000000..65d75f8 --- /dev/null +++ b/README.md @@ -0,0 +1,195 @@ +# Adaptive Barrier Monitor + +A five-notebook quantitative-finance project connecting random walks, Brownian +motion, geometric Brownian motion, first-passage times, Brownian bridges, and +state-dependent monitoring. + +The motivating question is: + +> A stock is monitored for a large move over a short window. Continuous polling +> is expensive. What probability model describes a hidden barrier crossing, and +> how can that model inform a sampling schedule? + +The project is written for a mathematically mature reader who wants to see how +Gaussian processes, conditioning, stochastic calculus, and Monte Carlo methods +appear in a practical monitoring problem. + +## Core results and scope + +Under geometric Brownian motion, + +$$ +\frac{dS_t}{S_t}=\mu\,dt+\sigma\,dW_t, +$$ + +the relative log-price $X_t=\log(S_t/S_0)$ is arithmetic Brownian motion. A +10% drop corresponds to the lower log barrier $B=\log(0.9)$. + +For zero drift, the probability of touching the barrier by time $T$ is + +$$ +P(\tau_B\leq T)=2\Phi\!\left(\frac{B}{\sigma\sqrt{T}}\right). +$$ + +At 30% annualised volatility, a 10% move in five trading minutes is roughly a +49-standard-deviation diffusion event. Pure GBM therefore assigns it probability +below ordinary floating-point resolution; jumps and market microstructure are +essential for realistic extreme-move modelling. + +Conditional on two observations $x_0,x_T>B$, the Brownian-bridge probability +that the hidden path crossed the barrier is + +$$ +P_{\mathrm{cross}} +=\exp\!\left( +-\frac{2(x_0-B)(x_T-B)}{\sigma^2\Delta t} +\right). +$$ + +If both endpoint distances are set equal to $D$, inversion gives + +$$ +\Delta t_{\mathrm{sym}} +=\frac{2D^2}{\sigma^2\log(1/\varepsilon)}. +$$ + +This inversion is exact **conditional on both endpoints being known**. In a +live scheduler, the future endpoint is unknown; the implementation substitutes +the current distance for both endpoints. Thus $\varepsilon$ is a local +diffusion-design parameter, not an unconditional miss guarantee, and it does +not control jumps. A hard maximum polling interval remains necessary. + +## Notebooks + +| # | Notebook | Main topics | +|---|---|---| +| 01 | [Random walks to Brownian motion](notebooks/01_random_walks_to_brownian_motion.ipynb) | Log returns, the $\min(s,t)$ covariance kernel, Cholesky sampling, Brownian scaling | +| 02 | [GBM and Itô's lemma](notebooks/02_geometric_brownian_motion_and_ito.ipynb) | Multiplicative prices, exact GBM simulation, Itô correction | +| 03 | [First passage and reflection](notebooks/03_first_passage_and_reflection_principle.ipynb) | Reflection principle, Bachelier–Lévy formula, hitting-time diagnostics | +| 04 | [Brownian bridges and hidden crossings](notebooks/04_brownian_bridges_and_miss_probability.ipynb) | Gaussian conditioning, Schur complements, bridge crossing probabilities | +| 05 | [Adaptive barrier monitoring](notebooks/05_adaptive_barrier_monitor.ipynb) | Unit-consistent scheduler, practical polling cap, controlled jump stress test, model-risk discussion | + +The analytical formulae are checked against Monte Carlo simulation in the +notebooks. + +## Interactive web application + +The FastAPI/Plotly demo compares two sampling schedules on the **same simulated +paths**. The adaptive schedule uses the local symmetric-endpoint bridge proxy, +while the fixed baseline can run in either of two modes: + +- **Equal budget:** the fixed schedule receives exactly the adaptive schedule's + sample count on each path, isolating where observations are placed. +- **Fixed cadence:** the fixed schedule samples at a user-selected interval, so + detection quality, lag, and total observation cost can be compared directly. + +A barrier event counts as detected only if a sampled point remains beyond the +barrier within a configurable number of simulation steps. The comparison is +therefore explicit and reproducible rather than based on an unrestricted +"eventually detected" definition. + +The demo supports GBM and an optional Merton jump-diffusion stress mode. When +jumps are enabled, the interface explicitly warns that the Brownian diffusion +parameter $\varepsilon$ does not bound jump-event misses. + +### Run locally + +```bash +python -m venv .venv +source .venv/bin/activate +python -m pip install -e ".[webapp]" +python -m uvicorn webapp.app:app --host 127.0.0.1 --port 8055 +``` + +Open `http://127.0.0.1:8055`. + +### Docker + +```bash +docker compose -f docker-compose.webapp.yml up --build +``` + +For an existing Caddy Docker network: + +```bash +docker compose -f docker-compose.webapp.proxy.yml up --build -d +``` + +The container runs as a non-root user and includes an HTTP health check. + +## Run the notebooks + +```bash +python -m venv .venv +source .venv/bin/activate +pip install -e ".[notebooks]" +jupyter lab notebooks/ +``` + +Notebooks that request market data cache successful downloads under +`data/cache/`. Their analytical and simulation sections remain usable when the +network fetch is unavailable. + +## Tests + +```bash +pip install -e ".[dev,webapp]" +pytest +``` + +The test suite covers: + +- inversion of the Brownian-bridge formula; +- vectorised interval calculations and input validation; +- consistent time/volatility units in the adaptive schedule; +- enforcement of the detection deadline; +- exact per-path sample-budget equality; +- equivalence of zero-intensity jump diffusion and GBM; +- aggregate simulation invariants. + +## Project structure + +```text +adaptive-barrier-monitor/ +├── notebooks/ # five executed research notebooks +├── src/adaptive_barrier/ +│ ├── __init__.py +│ └── engine.py # samplers, closed forms, scheduler, evaluation +├── tests/ +│ └── test_engine.py +├── webapp/ +│ ├── app.py # FastAPI API +│ ├── Dockerfile +│ └── static/ # vanilla JS, Plotly, CSS +├── .github/workflows/tests.yml +├── pyproject.toml +├── requirements.txt +├── requirements-webapp.txt +├── requirements-dev.txt +├── bibliography.md +├── LICENSE +└── webapp.md +``` + +## Model limitations + +- **Online endpoint uncertainty:** the bridge crossing formula is conditional on + both endpoints; the scheduler uses a local approximation before the next + endpoint exists. +- **Jump risk:** diffusion-derived polling cannot guarantee detection of sudden + jump-and-recovery events. +- **No market microstructure model:** bid–ask bounce, asynchronous feeds, + exchange halts, queueing, and packet latency are not represented. +- **Simulation-grid dependence:** the web demo's detection deadline is measured + in simulated grid steps; changing `n_steps` changes its physical duration. +- **Educational calibration:** jump parameters in the sandbox are user-controlled + stress parameters, not production estimates. + +## Tech stack + +Python, NumPy, SciPy, pandas, SymPy, Matplotlib, FastAPI, Pydantic, Uvicorn, +Plotly.js, Docker, pytest, and GitHub Actions. + +## License + +MIT — see [`LICENSE`](LICENSE). diff --git a/bibliography.md b/bibliography.md new file mode 100644 index 0000000..b0688c6 --- /dev/null +++ b/bibliography.md @@ -0,0 +1,54 @@ +# Bibliography & References + +Selected references supporting the mathematics, quantitative-finance models, numerical methods, and software used in the notebook series. Exercise-only and redundant lookup references have been removed so this file reflects the material that remains in the public project. + +## Brownian motion and stochastic calculus + +- **Mörters, P. & Peres, Y.** *Brownian Motion.* Cambridge University Press, 2010. +- **Karatzas, I. & Shreve, S. E.** *Brownian Motion and Stochastic Calculus.* Springer, 2nd ed., 1991. +- **Klebaner, F. C.** *Introduction to Stochastic Calculus with Applications.* Imperial College Press, 3rd ed., 2012. +- **Shreve, S. E.** *Stochastic Calculus for Finance II: Continuous-Time Models.* Springer, 2004. +- **Øksendal, B.** *Stochastic Differential Equations.* Springer, 6th ed., 2003. +- **Protter, P. E.** *Stochastic Integration and Differential Equations.* Springer, 2nd ed., 2005. +- **Bachelier, L.** “Théorie de la spéculation.” *Annales scientifiques de l’École Normale Supérieure* 17 (1900). Historical origin of Brownian price modelling. + +## Quantitative-finance models and barrier problems + +- **Hull, J. C.** *Options, Futures, and Other Derivatives.* Pearson, 11th ed., 2021. +- **Joshi, M. S.** *The Concepts and Practice of Mathematical Finance.* Cambridge University Press, 2nd ed., 2008. +- **Glasserman, P.** *Monte Carlo Methods in Financial Engineering.* Springer, 2003. +- **Cont, R. & Tankov, P.** *Financial Modelling with Jump Processes.* Chapman & Hall/CRC, 2004. + +## Gaussian conditioning and numerical linear algebra + +- **Rasmussen, C. E. & Williams, C. K. I.** *Gaussian Processes for Machine Learning.* MIT Press, 2006. Free full text: . +- **Anderson, T. W.** *An Introduction to Multivariate Statistical Analysis.* Wiley, 3rd ed., 2003. +- **Revuz, D. & Yor, M.** *Continuous Martingales and Brownian Motion.* Springer, 3rd ed., 1999. +- **Golub, G. H. & Van Loan, C. F.** *Matrix Computations.* Johns Hopkins University Press, 4th ed., 2013. +- **Strang, G.** *Introduction to Linear Algebra.* Wellesley-Cambridge Press, 6th ed., 2023. Positive-definite matrices and factorisations. Lectures: . +- **Trefethen, L. N. & Bau, D.** *Numerical Linear Algebra.* SIAM, 1997. + +## Concise online references + +- **Wiener process / Brownian motion:** +- **Itô’s lemma:** +- **Geometric Brownian motion:** +- **Reflection principle:** +- **Brownian bridge:** +- **Jump diffusion:** +- **Maximum drawdown:** +- **Cholesky decomposition:** +- **Monte Carlo method:** + +## Software and data + +- **NumPy:** — vectorised simulation, array operations, and Cholesky factorisation. +- **SciPy:** — Gaussian distribution functions and numerical utilities. +- **Matplotlib:** — notebook figures. +- **pandas:** — market-data frames, time indexes, and resampling. +- **SymPy:** — symbolic checks in the Itô-calculus notebook. +- **Requests:** — HTTP access to the market-data endpoint. + +## Conventions + +Trading time is measured using 252 trading days × 6.5 hours × 60 minutes = 98,280 trading minutes per year. Annualised volatility is scaled by the square root of elapsed trading time. \ No newline at end of file diff --git a/data/cache/SPY_1m_5d.csv b/data/cache/SPY_1m_5d.csv new file mode 100644 index 0000000..913dcce --- /dev/null +++ b/data/cache/SPY_1m_5d.csv @@ -0,0 +1,1952 @@ +timestamp,open,high,low,close,volume +2026-07-20 13:30:00+00:00,747.0599975585938,747.7100219726562,746.7999877929688,747.6199951171875,1302054 +2026-07-20 13:31:00+00:00,747.6400146484375,747.8400268554688,747.4500122070312,747.5,166887 +2026-07-20 13:32:00+00:00,747.5900268554688,747.969970703125,747.5399780273438,747.9010009765625,158512 +2026-07-20 13:33:00+00:00,747.8800048828125,747.9600219726562,747.6400146484375,747.6701049804688,95375 +2026-07-20 13:34:00+00:00,747.6699829101562,748.0499877929688,747.5499877929688,748.0499877929688,128948 +2026-07-20 13:35:00+00:00,748.030029296875,748.2562255859375,747.72998046875,747.8493041992188,172932 +2026-07-20 13:36:00+00:00,747.8405151367188,748.2994995117188,747.8400268554688,748.280029296875,176959 +2026-07-20 13:37:00+00:00,748.27001953125,748.6199951171875,748.2000122070312,748.5499877929688,186186 +2026-07-20 13:38:00+00:00,748.5499877929688,748.7100219726562,748.1300048828125,748.25,165166 +2026-07-20 13:39:00+00:00,748.25,748.27001953125,747.8900146484375,748.1699829101562,132151 +2026-07-20 13:40:00+00:00,748.1699829101562,748.3400268554688,748.0599975585938,748.1599731445312,104123 +2026-07-20 13:41:00+00:00,748.2150268554688,748.4099731445312,748.1599731445312,748.2100219726562,119467 +2026-07-20 13:42:00+00:00,748.2000122070312,748.27001953125,748.0650024414062,748.25,99937 +2026-07-20 13:43:00+00:00,748.25,748.5700073242188,748.1799926757812,748.47998046875,94778 +2026-07-20 13:44:00+00:00,748.4500122070312,748.5900268554688,748.3800048828125,748.5599975585938,93404 +2026-07-20 13:45:00+00:00,748.5700073242188,748.72998046875,748.1699829101562,748.1699829101562,177362 +2026-07-20 13:46:00+00:00,748.1699829101562,748.2999877929688,747.885009765625,748.02001953125,228839 +2026-07-20 13:47:00+00:00,747.989990234375,748.02001953125,747.77001953125,747.8400268554688,106936 +2026-07-20 13:48:00+00:00,747.8499755859375,747.9500122070312,747.7100219726562,747.8300170898438,99558 +2026-07-20 13:49:00+00:00,747.8200073242188,747.8900146484375,747.530029296875,747.5800170898438,192897 +2026-07-20 13:50:00+00:00,747.5800170898438,747.8400268554688,747.5449829101562,747.6199951171875,103775 +2026-07-20 13:51:00+00:00,747.6199951171875,747.760009765625,747.1599731445312,747.1799926757812,112316 +2026-07-20 13:52:00+00:00,747.1699829101562,747.2000122070312,746.4600219726562,746.719970703125,265266 +2026-07-20 13:53:00+00:00,746.72998046875,746.780029296875,746.25,746.4600219726562,157777 +2026-07-20 13:54:00+00:00,746.4849853515625,746.6400146484375,746.3300170898438,746.4550170898438,235742 +2026-07-20 13:55:00+00:00,746.4500122070312,746.489990234375,746.1500244140625,746.1901245117188,219457 +2026-07-20 13:56:00+00:00,746.1900024414062,746.219970703125,745.8300170898438,746.1400146484375,131488 +2026-07-20 13:57:00+00:00,746.1199951171875,746.1300048828125,745.77001953125,745.7999877929688,82810 +2026-07-20 13:58:00+00:00,745.8099975585938,745.989990234375,745.5900268554688,745.6300048828125,124940 +2026-07-20 13:59:00+00:00,745.6199951171875,745.8599853515625,745.52001953125,745.6900024414062,113100 +2026-07-20 14:00:00+00:00,745.6799926757812,745.97998046875,745.5499877929688,745.8798828125,99269 +2026-07-20 14:01:00+00:00,745.8800048828125,745.9600219726562,745.3900146484375,745.7000122070312,100653 +2026-07-20 14:02:00+00:00,745.6699829101562,746.0399780273438,745.6199951171875,746.0317993164062,140920 +2026-07-20 14:03:00+00:00,746.0399780273438,746.2100219726562,745.9600219726562,746.2100219726562,93715 +2026-07-20 14:04:00+00:00,746.2100219726562,746.3599853515625,745.8699951171875,745.885009765625,89617 +2026-07-20 14:05:00+00:00,745.9000244140625,746.1199951171875,745.77001953125,745.8099975585938,198790 +2026-07-20 14:06:00+00:00,745.8099975585938,745.8900146484375,745.510009765625,745.6300048828125,69865 +2026-07-20 14:07:00+00:00,745.6400146484375,745.7000122070312,745.3599853515625,745.5800170898438,61958 +2026-07-20 14:08:00+00:00,745.60498046875,745.7999877929688,745.3699951171875,745.3800048828125,70990 +2026-07-20 14:09:00+00:00,745.3800048828125,745.5399780273438,745.27001953125,745.4000244140625,74101 +2026-07-20 14:10:00+00:00,745.3400268554688,745.3800048828125,744.9749755859375,745.030029296875,99224 +2026-07-20 14:11:00+00:00,745.030029296875,745.1900024414062,744.8200073242188,744.9400024414062,87104 +2026-07-20 14:12:00+00:00,744.9400024414062,745.0,744.77001953125,744.8699951171875,90072 +2026-07-20 14:13:00+00:00,744.8499755859375,745.1199951171875,744.7650146484375,745.0900268554688,65138 +2026-07-20 14:14:00+00:00,745.090087890625,745.280029296875,744.8599853515625,744.989990234375,72528 +2026-07-20 14:15:00+00:00,745.02001953125,745.4299926757812,744.8699951171875,745.3800048828125,79336 +2026-07-20 14:16:00+00:00,745.3699951171875,745.47998046875,744.8300170898438,744.885009765625,114796 +2026-07-20 14:17:00+00:00,744.8900146484375,745.0,744.72998046875,744.8300170898438,75817 +2026-07-20 14:18:00+00:00,744.8300170898438,744.969970703125,744.739990234375,744.969970703125,72510 +2026-07-20 14:19:00+00:00,744.9600219726562,745.0900268554688,744.6300048828125,744.9000244140625,77973 +2026-07-20 14:20:00+00:00,744.8499755859375,744.8800048828125,744.3800048828125,744.5399780273438,113609 +2026-07-20 14:21:00+00:00,744.5399780273438,744.5700073242188,744.260009765625,744.52001953125,138409 +2026-07-20 14:22:00+00:00,744.510009765625,744.7589111328125,744.3599853515625,744.739990234375,109074 +2026-07-20 14:23:00+00:00,744.7003784179688,745.1300048828125,744.6799926757812,745.0291137695312,60736 +2026-07-20 14:24:00+00:00,745.030029296875,745.2100219726562,744.9600219726562,744.969970703125,139691 +2026-07-20 14:25:00+00:00,744.969970703125,745.3599853515625,744.9099731445312,745.2100219726562,105327 +2026-07-20 14:26:00+00:00,745.2100219726562,745.3699951171875,744.989990234375,745.3400268554688,48532 +2026-07-20 14:27:00+00:00,745.3499755859375,745.469970703125,745.1699829101562,745.239990234375,77624 +2026-07-20 14:28:00+00:00,745.25,745.3900146484375,745.0599975585938,745.3300170898438,69158 +2026-07-20 14:29:00+00:00,745.3599853515625,745.739990234375,745.3200073242188,745.6799926757812,54479 +2026-07-20 14:30:00+00:00,745.6900024414062,745.9600219726562,745.47998046875,745.8400268554688,125486 +2026-07-20 14:31:00+00:00,745.8400268554688,745.9000244140625,745.52001953125,745.8099975585938,56047 +2026-07-20 14:32:00+00:00,745.8099975585938,745.85498046875,745.25,745.4343872070312,203155 +2026-07-20 14:33:00+00:00,745.4199829101562,745.4199829101562,745.2000122070312,745.25,42266 +2026-07-20 14:34:00+00:00,745.25,745.47998046875,745.0399780273438,745.260009765625,48436 +2026-07-20 14:35:00+00:00,745.260009765625,745.3900146484375,745.0700073242188,745.3200073242188,44999 +2026-07-20 14:36:00+00:00,745.3599853515625,745.4099731445312,745.030029296875,745.0599975585938,109439 +2026-07-20 14:37:00+00:00,745.0399780273438,745.3200073242188,744.9598999023438,745.3099975585938,46985 +2026-07-20 14:38:00+00:00,745.2899780273438,745.4299926757812,745.1500244140625,745.3599853515625,42783 +2026-07-20 14:39:00+00:00,745.3499755859375,745.530029296875,745.239990234375,745.3300170898438,209017 +2026-07-20 14:40:00+00:00,745.3499755859375,745.7899780273438,745.3300170898438,745.6749877929688,28534 +2026-07-20 14:41:00+00:00,745.6199951171875,745.719970703125,745.0599975585938,745.0800170898438,31886 +2026-07-20 14:42:00+00:00,745.0700073242188,745.3300170898438,744.8200073242188,745.0499877929688,101695 +2026-07-20 14:43:00+00:00,745.0700073242188,745.280029296875,744.8300170898438,744.8699951171875,28209 +2026-07-20 14:44:00+00:00,744.8499755859375,745.0399780273438,744.7520141601562,744.8900146484375,68550 +2026-07-20 14:45:00+00:00,744.8800048828125,745.3400268554688,744.4901123046875,745.280029296875,120941 +2026-07-20 14:46:00+00:00,745.3099975585938,745.739990234375,745.2899780273438,745.510009765625,70350 +2026-07-20 14:47:00+00:00,745.510009765625,745.67529296875,745.0700073242188,745.0800170898438,38726 +2026-07-20 14:48:00+00:00,745.0700073242188,745.1199951171875,744.6900024414062,744.8599853515625,55723 +2026-07-20 14:49:00+00:00,744.8300170898438,744.969970703125,744.5999755859375,744.6400146484375,38108 +2026-07-20 14:50:00+00:00,744.6199951171875,744.8599853515625,744.510009765625,744.6400146484375,49208 +2026-07-20 14:51:00+00:00,744.6599731445312,744.9400024414062,744.5599975585938,744.7899780273438,56180 +2026-07-20 14:52:00+00:00,744.780029296875,744.9400024414062,744.464599609375,744.5,38070 +2026-07-20 14:53:00+00:00,744.489990234375,744.5,744.1500244140625,744.260009765625,332341 +2026-07-20 14:54:00+00:00,744.22998046875,744.5399780273438,744.22998046875,744.3250122070312,63798 +2026-07-20 14:55:00+00:00,744.3200073242188,744.4400024414062,744.1799926757812,744.4400024414062,59648 +2026-07-20 14:56:00+00:00,744.4299926757812,744.489990234375,743.9199829101562,743.969970703125,67612 +2026-07-20 14:57:00+00:00,743.9600219726562,744.1900024414062,743.9000244140625,744.1599731445312,116707 +2026-07-20 14:58:00+00:00,744.1699829101562,744.3200073242188,743.8200073242188,743.8499755859375,87351 +2026-07-20 14:59:00+00:00,743.8499755859375,744.2249755859375,743.6900024414062,744.1099853515625,98506 +2026-07-20 15:00:00+00:00,744.1400146484375,744.239990234375,743.8049926757812,744.2349853515625,74712 +2026-07-20 15:01:00+00:00,744.239990234375,744.5,744.1099853515625,744.4700927734375,47608 +2026-07-20 15:02:00+00:00,744.5,744.7000122070312,744.3599853515625,744.7000122070312,55137 +2026-07-20 15:03:00+00:00,744.7100219726562,744.8800048828125,744.4949951171875,744.5599975585938,62527 +2026-07-20 15:04:00+00:00,744.5599975585938,744.6599731445312,744.385009765625,744.5800170898438,57810 +2026-07-20 15:05:00+00:00,744.5599975585938,744.739990234375,743.8499755859375,743.9299926757812,79922 +2026-07-20 15:06:00+00:00,743.9600219726562,744.2899780273438,743.9600219726562,744.2899780273438,191749 +2026-07-20 15:07:00+00:00,744.2899780273438,744.77001953125,744.260009765625,744.7000122070312,47542 +2026-07-20 15:08:00+00:00,744.6900024414062,745.27001953125,744.6199951171875,745.010009765625,94349 +2026-07-20 15:09:00+00:00,745.0,745.4849853515625,744.9400024414062,745.4099731445312,89009 +2026-07-20 15:10:00+00:00,745.4000244140625,745.4600219726562,744.969970703125,744.969970703125,63161 +2026-07-20 15:11:00+00:00,744.9299926757812,745.02001953125,744.6799926757812,744.8046875,55499 +2026-07-20 15:12:00+00:00,744.8200073242188,745.0700073242188,744.719970703125,744.77001953125,33257 +2026-07-20 15:13:00+00:00,744.7650146484375,745.0,744.7050170898438,744.969970703125,34418 +2026-07-20 15:14:00+00:00,744.9600219726562,745.010009765625,744.6699829101562,744.7999877929688,40068 +2026-07-20 15:15:00+00:00,744.7999877929688,745.1699829101562,744.6099853515625,745.1599731445312,54227 +2026-07-20 15:16:00+00:00,745.1500244140625,745.2899780273438,745.0499877929688,745.27001953125,84454 +2026-07-20 15:17:00+00:00,745.2750244140625,745.4000244140625,745.1699829101562,745.3800048828125,34958 +2026-07-20 15:18:00+00:00,745.3900146484375,745.530029296875,745.3099975585938,745.3900146484375,46699 +2026-07-20 15:19:00+00:00,745.3900146484375,745.39501953125,745.080078125,745.27001953125,75092 +2026-07-20 15:20:00+00:00,745.260009765625,745.4000244140625,745.0700073242188,745.3699951171875,75045 +2026-07-20 15:21:00+00:00,745.3800048828125,745.739990234375,745.3486938476562,745.530029296875,82258 +2026-07-20 15:22:00+00:00,745.5499267578125,745.7100219726562,745.510009765625,745.6900024414062,45205 +2026-07-20 15:23:00+00:00,745.6799926757812,745.969970703125,745.6099853515625,745.6099853515625,64445 +2026-07-20 15:24:00+00:00,745.6300048828125,745.8699951171875,745.5900268554688,745.75,49122 +2026-07-20 15:25:00+00:00,745.719970703125,745.9600219726562,745.6799926757812,745.72998046875,61617 +2026-07-20 15:26:00+00:00,745.75,745.969970703125,745.614990234375,745.614990234375,170003 +2026-07-20 15:27:00+00:00,745.6300048828125,745.7999877929688,745.5426025390625,745.5800170898438,40563 +2026-07-20 15:28:00+00:00,745.5800170898438,745.635009765625,745.22998046875,745.280029296875,178247 +2026-07-20 15:29:00+00:00,745.27001953125,745.8900146484375,745.219970703125,745.8699951171875,53418 +2026-07-20 15:30:00+00:00,745.8900146484375,745.97998046875,745.77001953125,745.9099731445312,53139 +2026-07-20 15:31:00+00:00,745.9099731445312,746.02001953125,745.8798828125,745.97998046875,33494 +2026-07-20 15:32:00+00:00,745.989990234375,746.0158081054688,745.8599853515625,745.8599853515625,20218 +2026-07-20 15:33:00+00:00,745.8800048828125,745.9400024414062,745.7949829101562,745.8699951171875,40294 +2026-07-20 15:34:00+00:00,745.8499755859375,745.97998046875,745.780029296875,745.8800048828125,45197 +2026-07-20 15:35:00+00:00,745.9000244140625,745.9299926757812,745.6799926757812,745.8200073242188,44752 +2026-07-20 15:36:00+00:00,745.780029296875,745.8699951171875,745.7000122070312,745.7999877929688,42832 +2026-07-20 15:37:00+00:00,745.7999877929688,745.8300170898438,745.4000244140625,745.4400024414062,52644 +2026-07-20 15:38:00+00:00,745.4400024414062,745.6300048828125,745.3900146484375,745.6300048828125,33698 +2026-07-20 15:39:00+00:00,745.6500244140625,745.780029296875,745.4500122070312,745.4600219726562,40137 +2026-07-20 15:40:00+00:00,745.469970703125,745.5,745.280029296875,745.3900146484375,40054 +2026-07-20 15:41:00+00:00,745.375,745.72998046875,745.3499755859375,745.6099853515625,68069 +2026-07-20 15:42:00+00:00,745.6199951171875,745.8499145507812,745.5700073242188,745.6900024414062,28245 +2026-07-20 15:43:00+00:00,745.6799926757812,745.9199829101562,745.6400146484375,745.6500244140625,42303 +2026-07-20 15:44:00+00:00,745.64501953125,745.969970703125,745.5499877929688,745.969970703125,35475 +2026-07-20 15:45:00+00:00,745.97998046875,745.989990234375,745.6300048828125,745.72998046875,49544 +2026-07-20 15:46:00+00:00,745.739990234375,745.8200073242188,745.6099853515625,745.7100219726562,27586 +2026-07-20 15:47:00+00:00,745.739990234375,745.8400268554688,745.3499755859375,745.5,58650 +2026-07-20 15:48:00+00:00,745.47998046875,745.47998046875,745.1900024414062,745.27001953125,73712 +2026-07-20 15:49:00+00:00,745.25,745.469970703125,745.0999755859375,745.2999877929688,45405 +2026-07-20 15:50:00+00:00,745.2899780273438,745.3900146484375,745.1300048828125,745.3900146484375,167239 +2026-07-20 15:51:00+00:00,745.3900146484375,745.7899780273438,745.3900146484375,745.7000122070312,57241 +2026-07-20 15:52:00+00:00,745.7050170898438,745.8599853515625,745.6099853515625,745.7949829101562,48848 +2026-07-20 15:53:00+00:00,745.7899780273438,746.1199951171875,745.7550048828125,746.0999755859375,59583 +2026-07-20 15:54:00+00:00,746.0999755859375,746.3599853515625,746.0999755859375,746.219970703125,67387 +2026-07-20 15:55:00+00:00,746.22998046875,746.4199829101562,746.22998046875,746.3699951171875,83517 +2026-07-20 15:56:00+00:00,746.3699951171875,746.4199829101562,746.2736206054688,746.4000244140625,72768 +2026-07-20 15:57:00+00:00,746.3900146484375,746.4400024414062,746.114990234375,746.1799926757812,56142 +2026-07-20 15:58:00+00:00,746.155029296875,746.2899780273438,746.030029296875,746.0999755859375,50298 +2026-07-20 15:59:00+00:00,746.1199951171875,746.1500244140625,745.9400024414062,745.989990234375,48160 +2026-07-20 16:00:00+00:00,746.0,746.2399291992188,745.9099731445312,746.1599731445312,50975 +2026-07-20 16:01:00+00:00,746.1699829101562,746.25,745.97998046875,745.97998046875,29559 +2026-07-20 16:02:00+00:00,745.969970703125,745.989990234375,745.6199951171875,745.7100219726562,60944 +2026-07-20 16:03:00+00:00,745.72998046875,746.1699829101562,745.5800170898438,746.1699829101562,222200 +2026-07-20 16:04:00+00:00,746.1699829101562,746.239990234375,746.1199951171875,746.1599731445312,44291 +2026-07-20 16:05:00+00:00,746.1599731445312,746.5499877929688,746.1599731445312,746.5399780273438,76815 +2026-07-20 16:06:00+00:00,746.5399780273438,746.6500244140625,746.4105224609375,746.6300048828125,321587 +2026-07-20 16:07:00+00:00,746.6199951171875,746.6900024414062,746.5700073242188,746.6400146484375,65941 +2026-07-20 16:08:00+00:00,746.6699829101562,746.780029296875,746.6699829101562,746.72998046875,76552 +2026-07-20 16:09:00+00:00,746.75,746.8350219726562,746.7100219726562,746.7999877929688,47846 +2026-07-20 16:10:00+00:00,746.780029296875,746.969970703125,746.719970703125,746.9299926757812,83604 +2026-07-20 16:11:00+00:00,746.9299926757812,746.989990234375,746.8300170898438,746.885009765625,46134 +2026-07-20 16:12:00+00:00,746.8900146484375,747.0050048828125,746.822509765625,746.8300170898438,73133 +2026-07-20 16:13:00+00:00,746.8350219726562,746.9400024414062,746.6400146484375,746.72998046875,50223 +2026-07-20 16:14:00+00:00,746.72998046875,746.8599853515625,746.6599731445312,746.7899780273438,44503 +2026-07-20 16:15:00+00:00,746.8300170898438,746.844970703125,746.4600219726562,746.469970703125,37441 +2026-07-20 16:16:00+00:00,746.469970703125,746.5399780273438,746.3099975585938,746.52001953125,138816 +2026-07-20 16:17:00+00:00,746.52001953125,746.6500244140625,746.4425048828125,746.6500244140625,55869 +2026-07-20 16:18:00+00:00,746.6599731445312,746.7100219726562,746.5399780273438,746.6599731445312,44137 +2026-07-20 16:19:00+00:00,746.6699829101562,746.7100219726562,746.5999755859375,746.6799926757812,38659 +2026-07-20 16:20:00+00:00,746.7000122070312,746.7899780273438,746.6500244140625,746.75,45801 +2026-07-20 16:21:00+00:00,746.75,746.760009765625,746.6599731445312,746.7000122070312,38818 +2026-07-20 16:22:00+00:00,746.7050170898438,746.760009765625,746.6199951171875,746.7100219726562,39630 +2026-07-20 16:23:00+00:00,746.7150268554688,746.8800048828125,746.7100219726562,746.8400268554688,41083 +2026-07-20 16:24:00+00:00,746.8400268554688,746.8699951171875,746.6599731445312,746.780029296875,61987 +2026-07-20 16:25:00+00:00,746.780029296875,746.8300170898438,746.3200073242188,746.37939453125,58245 +2026-07-20 16:26:00+00:00,746.3800048828125,746.3800048828125,746.1699829101562,746.27001953125,85559 +2026-07-20 16:27:00+00:00,746.280029296875,746.52001953125,746.27001953125,746.3900146484375,82020 +2026-07-20 16:28:00+00:00,746.3800048828125,746.4099731445312,746.2899780273438,746.3499755859375,60787 +2026-07-20 16:29:00+00:00,746.35498046875,746.5399169921875,746.3400268554688,746.5,37287 +2026-07-20 16:30:00+00:00,746.489990234375,746.780029296875,746.3699951171875,746.4149780273438,67655 +2026-07-20 16:31:00+00:00,746.4099731445312,746.5,746.3099975585938,746.4299926757812,59511 +2026-07-20 16:32:00+00:00,746.4199829101562,746.4500122070312,746.1900024414062,746.219970703125,46608 +2026-07-20 16:33:00+00:00,746.219970703125,746.239990234375,745.8499755859375,745.8499755859375,79417 +2026-07-20 16:34:00+00:00,745.8400268554688,746.030029296875,745.7999877929688,745.8300170898438,75198 +2026-07-20 16:35:00+00:00,745.8200073242188,746.02001953125,745.8099975585938,745.9199829101562,51706 +2026-07-20 16:36:00+00:00,745.9199829101562,746.0,745.8499755859375,745.9500122070312,39953 +2026-07-20 16:37:00+00:00,745.9600219726562,746.0999755859375,745.8200073242188,746.094970703125,37132 +2026-07-20 16:38:00+00:00,746.0850219726562,746.1400146484375,745.9199829101562,746.0731201171875,44146 +2026-07-20 16:39:00+00:00,746.0700073242188,746.3699951171875,746.0499877929688,746.3499755859375,67805 +2026-07-20 16:40:00+00:00,746.3300170898438,746.52001953125,746.1849975585938,746.280029296875,51345 +2026-07-20 16:41:00+00:00,746.260009765625,746.3800048828125,744.5,745.3599853515625,749728 +2026-07-20 16:42:00+00:00,745.3800048828125,745.6500244140625,745.239990234375,745.4500122070312,94460 +2026-07-20 16:43:00+00:00,745.47998046875,745.6900024414062,745.3800048828125,745.6099853515625,71351 +2026-07-20 16:44:00+00:00,745.6099853515625,745.6699829101562,745.281005859375,745.4299926757812,77504 +2026-07-20 16:45:00+00:00,745.4099731445312,745.489990234375,745.260009765625,745.4199829101562,67102 +2026-07-20 16:46:00+00:00,745.4000244140625,745.8699951171875,745.2100219726562,745.8599853515625,73330 +2026-07-20 16:47:00+00:00,745.8800048828125,746.1199951171875,745.8499145507812,745.9299926757812,216919 +2026-07-20 16:48:00+00:00,745.9400024414062,746.0499877929688,745.9099731445312,745.97998046875,30243 +2026-07-20 16:49:00+00:00,745.9600219726562,746.1799926757812,745.9400024414062,746.1300048828125,33332 +2026-07-20 16:50:00+00:00,746.1199951171875,746.155029296875,745.6799926757812,745.77001953125,52055 +2026-07-20 16:51:00+00:00,745.780029296875,745.8800048828125,745.52001953125,745.5900268554688,43314 +2026-07-20 16:52:00+00:00,745.5599975585938,745.5999755859375,745.3599853515625,745.5250244140625,66324 +2026-07-20 16:53:00+00:00,745.530029296875,745.5399780273438,745.3400268554688,745.47998046875,37936 +2026-07-20 16:54:00+00:00,745.489990234375,745.489990234375,744.9099731445312,744.969970703125,116495 +2026-07-20 16:55:00+00:00,744.969970703125,745.1900024414062,744.9400024414062,745.1400146484375,210787 +2026-07-20 16:56:00+00:00,745.1500244140625,745.1599731445312,744.75,744.780029296875,54356 +2026-07-20 16:57:00+00:00,744.77001953125,745.010009765625,744.72998046875,744.9500122070312,74028 +2026-07-20 16:58:00+00:00,744.9099731445312,745.1699829101562,744.8699951171875,744.8699951171875,99490 +2026-07-20 16:59:00+00:00,744.875,745.0499877929688,744.8099975585938,745.0,42762 +2026-07-20 17:00:00+00:00,745.010009765625,745.2000122070312,744.9149780273438,745.1719970703125,129977 +2026-07-20 17:01:00+00:00,745.1799926757812,745.2100219726562,744.5900268554688,744.7000122070312,44328 +2026-07-20 17:02:00+00:00,744.6900024414062,744.7999877929688,744.6099853515625,744.75,71312 +2026-07-20 17:03:00+00:00,744.75,744.8400268554688,744.6300048828125,744.6799926757812,28252 +2026-07-20 17:04:00+00:00,744.6799926757812,744.719970703125,744.5499877929688,744.552490234375,34076 +2026-07-20 17:05:00+00:00,744.5399780273438,744.5999755859375,744.3021240234375,744.4000244140625,66103 +2026-07-20 17:06:00+00:00,744.4000854492188,744.489990234375,744.25,744.4500122070312,47560 +2026-07-20 17:07:00+00:00,744.4600219726562,744.47998046875,744.27001953125,744.297607421875,50855 +2026-07-20 17:08:00+00:00,744.2999877929688,744.3300170898438,744.1300048828125,744.2899780273438,47655 +2026-07-20 17:09:00+00:00,744.2999877929688,744.6500244140625,744.280029296875,744.5900268554688,76530 +2026-07-20 17:10:00+00:00,744.5900268554688,744.6400146484375,744.2100219726562,744.280029296875,61375 +2026-07-20 17:11:00+00:00,744.2999877929688,744.3099975585938,744.1799926757812,744.219970703125,47739 +2026-07-20 17:12:00+00:00,744.2100219726562,744.2899780273438,744.1500244140625,744.1900024414062,51432 +2026-07-20 17:13:00+00:00,744.2000122070312,744.2899780273438,744.0499877929688,744.1500244140625,59322 +2026-07-20 17:14:00+00:00,744.1400146484375,744.1400146484375,743.8400268554688,743.9000244140625,74376 +2026-07-20 17:15:00+00:00,743.8900146484375,743.8900146484375,743.5700073242188,743.6300048828125,93420 +2026-07-20 17:16:00+00:00,743.6400146484375,743.75,743.5599975585938,743.6500244140625,81855 +2026-07-20 17:17:00+00:00,743.6799926757812,744.02001953125,743.6099853515625,744.0,70370 +2026-07-20 17:18:00+00:00,744.02001953125,744.1699829101562,744.0,744.1699829101562,64111 +2026-07-20 17:19:00+00:00,744.1799926757812,744.260009765625,744.010009765625,744.1199951171875,73266 +2026-07-20 17:20:00+00:00,744.114990234375,744.1599731445312,743.969970703125,744.1099853515625,178040 +2026-07-20 17:21:00+00:00,744.1099853515625,744.2598876953125,744.0800170898438,744.239990234375,42168 +2026-07-20 17:22:00+00:00,744.25,744.489990234375,744.25,744.340087890625,73029 +2026-07-20 17:23:00+00:00,744.3499755859375,744.4199829101562,744.1699829101562,744.2899780273438,0 +2026-07-20 17:24:00+00:00,744.27001953125,744.280029296875,744.0499877929688,744.1099853515625,64636 +2026-07-20 17:25:00+00:00,744.0999755859375,744.219970703125,743.97998046875,744.219970703125,47527 +2026-07-20 17:26:00+00:00,744.2150268554688,744.3599853515625,744.0599975585938,744.3505249023438,54684 +2026-07-20 17:27:00+00:00,744.3400268554688,744.3699951171875,743.8900146484375,743.9600219726562,68047 +2026-07-20 17:28:00+00:00,743.969970703125,744.0399780273438,743.9099731445312,744.02001953125,50380 +2026-07-20 17:29:00+00:00,744.030029296875,744.1699829101562,743.97998046875,744.1199951171875,38218 +2026-07-20 17:30:00+00:00,744.1300048828125,744.3115844726562,743.9600219726562,744.1300048828125,69821 +2026-07-20 17:31:00+00:00,744.1099853515625,744.1300048828125,743.969970703125,744.010009765625,42706 +2026-07-20 17:32:00+00:00,744.0,744.2000122070312,743.9500122070312,744.1699829101562,52304 +2026-07-20 17:33:00+00:00,744.1699829101562,744.25,744.0599975585938,744.1400756835938,31834 +2026-07-20 17:34:00+00:00,744.1500244140625,744.4201049804688,744.1300048828125,744.3250122070312,46852 +2026-07-20 17:35:00+00:00,744.2999877929688,744.5399780273438,744.260009765625,744.489990234375,38507 +2026-07-20 17:36:00+00:00,744.47998046875,744.510009765625,744.0900268554688,744.14990234375,56302 +2026-07-20 17:37:00+00:00,744.1300048828125,744.1699829101562,744.02001953125,744.0900268554688,51469 +2026-07-20 17:38:00+00:00,744.0900268554688,744.1790161132812,744.0,744.0800170898438,56164 +2026-07-20 17:39:00+00:00,744.0800170898438,744.25,743.989990234375,744.010009765625,64811 +2026-07-20 17:40:00+00:00,744.030029296875,744.0499877929688,743.75,743.8300170898438,53468 +2026-07-20 17:41:00+00:00,743.8300170898438,743.9149780273438,743.6799926757812,743.8699951171875,43625 +2026-07-20 17:42:00+00:00,743.8599853515625,743.9500122070312,743.7999877929688,743.9099731445312,32798 +2026-07-20 17:43:00+00:00,743.9099731445312,743.97998046875,743.5900268554688,743.69921875,46603 +2026-07-20 17:44:00+00:00,743.6799926757812,743.7849731445312,743.6500244140625,743.760009765625,168175 +2026-07-20 17:45:00+00:00,743.77001953125,744.25,743.6300048828125,744.22998046875,124983 +2026-07-20 17:46:00+00:00,744.22998046875,744.3400268554688,744.02001953125,744.1500244140625,41117 +2026-07-20 17:47:00+00:00,744.14501953125,744.2100219726562,744.0700073242188,744.2100219726562,26451 +2026-07-20 17:48:00+00:00,744.219970703125,744.3499755859375,744.1699829101562,744.3099975585938,29880 +2026-07-20 17:49:00+00:00,744.3001098632812,744.3389892578125,744.125,744.25,59526 +2026-07-20 17:50:00+00:00,744.219970703125,744.4600219726562,744.219970703125,744.3300170898438,38412 +2026-07-20 17:51:00+00:00,744.3599853515625,744.5875854492188,744.2100219726562,744.5549926757812,67957 +2026-07-20 17:52:00+00:00,744.5499877929688,744.7650146484375,744.5399780273438,744.7000122070312,46940 +2026-07-20 17:53:00+00:00,744.6900024414062,744.7680053710938,744.594970703125,744.72998046875,61589 +2026-07-20 17:54:00+00:00,744.72998046875,744.9199829101562,744.6400146484375,744.6500244140625,75451 +2026-07-20 17:55:00+00:00,744.6500244140625,744.6699829101562,744.4600219726562,744.5499877929688,53702 +2026-07-20 17:56:00+00:00,744.5499877929688,744.6199951171875,744.2100830078125,744.3099975585938,108408 +2026-07-20 17:57:00+00:00,744.3800048828125,744.625,744.375,744.5700073242188,38139 +2026-07-20 17:58:00+00:00,744.5900268554688,744.6900024414062,744.4400024414062,744.510009765625,32078 +2026-07-20 17:59:00+00:00,744.510009765625,744.5700073242188,744.4299926757812,744.5499877929688,29434 +2026-07-20 18:00:00+00:00,744.5499877929688,744.9500122070312,744.5499877929688,744.9199829101562,84053 +2026-07-20 18:01:00+00:00,744.9400024414062,745.1699829101562,744.9400024414062,745.0999755859375,111545 +2026-07-20 18:02:00+00:00,745.0900268554688,745.1090087890625,744.9000244140625,745.0999755859375,74820 +2026-07-20 18:03:00+00:00,745.10498046875,745.1500244140625,744.75,744.8800048828125,54789 +2026-07-20 18:04:00+00:00,744.8800048828125,744.9099731445312,744.780029296875,744.8499755859375,38428 +2026-07-20 18:05:00+00:00,744.8400268554688,744.9299926757812,744.77001953125,744.8150024414062,93236 +2026-07-20 18:06:00+00:00,744.8200073242188,744.9000244140625,744.6799926757812,744.9000244140625,34656 +2026-07-20 18:07:00+00:00,744.885009765625,744.9400024414062,744.6900024414062,744.7100219726562,36529 +2026-07-20 18:08:00+00:00,744.7000122070312,744.719970703125,744.530029296875,744.6300048828125,39511 +2026-07-20 18:09:00+00:00,744.6199951171875,744.8900146484375,744.6199951171875,744.875,35964 +2026-07-20 18:10:00+00:00,744.9000244140625,744.9199829101562,744.7249755859375,744.8800048828125,45831 +2026-07-20 18:11:00+00:00,744.8800048828125,744.9199829101562,744.7100219726562,744.9000244140625,31930 +2026-07-20 18:12:00+00:00,744.9000244140625,745.1699829101562,744.8900146484375,745.0499877929688,49350 +2026-07-20 18:13:00+00:00,745.0700073242188,745.219970703125,745.0499877929688,745.1400146484375,40714 +2026-07-20 18:14:00+00:00,745.1599731445312,745.1699829101562,745.0,745.030029296875,51608 +2026-07-20 18:15:00+00:00,745.02001953125,745.1099853515625,744.9500122070312,744.989990234375,59694 +2026-07-20 18:16:00+00:00,744.989990234375,745.1799926757812,744.8800048828125,745.1099853515625,64345 +2026-07-20 18:17:00+00:00,745.1199951171875,745.3800048828125,745.1199951171875,745.1900024414062,52745 +2026-07-20 18:18:00+00:00,745.1950073242188,745.280029296875,744.9600219726562,745.1400146484375,53813 +2026-07-20 18:19:00+00:00,745.1300048828125,745.239990234375,745.0700073242188,745.239990234375,156746 +2026-07-20 18:20:00+00:00,745.219970703125,745.2899780273438,745.0900268554688,745.1500244140625,36191 +2026-07-20 18:21:00+00:00,745.1500244140625,745.2000122070312,744.7899780273438,744.969970703125,112455 +2026-07-20 18:22:00+00:00,744.969970703125,744.969970703125,744.6500244140625,744.7100219726562,174111 +2026-07-20 18:23:00+00:00,744.719970703125,744.739990234375,744.4299926757812,744.5399780273438,90135 +2026-07-20 18:24:00+00:00,744.5399780273438,744.5499877929688,744.25,744.280029296875,206099 +2026-07-20 18:25:00+00:00,744.2899780273438,744.6199951171875,744.1300048828125,744.5700073242188,139924 +2026-07-20 18:26:00+00:00,744.5700073242188,744.6900024414062,744.52001953125,744.594970703125,79371 +2026-07-20 18:27:00+00:00,744.5900268554688,744.6199951171875,744.4400024414062,744.5,41029 +2026-07-20 18:28:00+00:00,744.489990234375,744.6599731445312,744.4199829101562,744.6400146484375,38603 +2026-07-20 18:29:00+00:00,744.6300048828125,744.7999877929688,744.469970703125,744.469970703125,44989 +2026-07-20 18:30:00+00:00,744.469970703125,744.489990234375,744.0399780273438,744.0798950195312,188858 +2026-07-20 18:31:00+00:00,744.0700073242188,744.1500244140625,743.9400024414062,744.0800170898438,69628 +2026-07-20 18:32:00+00:00,744.0800170898438,744.1500244140625,743.9600219726562,744.0650024414062,53426 +2026-07-20 18:33:00+00:00,744.0499877929688,744.0499877929688,743.780029296875,743.8699951171875,62227 +2026-07-20 18:34:00+00:00,743.8699951171875,743.8800048828125,743.47998046875,743.6649780273438,99734 +2026-07-20 18:35:00+00:00,743.6599731445312,744.010009765625,743.6400146484375,743.9199829101562,51173 +2026-07-20 18:36:00+00:00,743.9299926757812,744.280029296875,743.9199829101562,744.1799926757812,38675 +2026-07-20 18:37:00+00:00,744.1900024414062,744.2949829101562,743.97998046875,743.9849853515625,51369 +2026-07-20 18:38:00+00:00,743.9600219726562,744.1500244140625,743.8099975585938,743.8099975585938,45945 +2026-07-20 18:39:00+00:00,743.8400268554688,743.8400268554688,743.4400024414062,743.5750122070312,153485 +2026-07-20 18:40:00+00:00,743.5750122070312,743.6199951171875,743.27001953125,743.27001953125,142796 +2026-07-20 18:41:00+00:00,743.27001953125,743.3099975585938,743.030029296875,743.22998046875,129546 +2026-07-20 18:42:00+00:00,743.25,743.27001953125,743.0,743.0900268554688,79429 +2026-07-20 18:43:00+00:00,743.1199951171875,743.1500244140625,742.8300170898438,742.9299926757812,77440 +2026-07-20 18:44:00+00:00,742.9400024414062,742.989990234375,742.530029296875,742.5449829101562,117169 +2026-07-20 18:45:00+00:00,742.5499877929688,742.760009765625,742.4299926757812,742.5999755859375,111611 +2026-07-20 18:46:00+00:00,742.6099853515625,743.0,742.5599975585938,742.969970703125,319159 +2026-07-20 18:47:00+00:00,742.9749755859375,743.0499877929688,742.8300170898438,742.969970703125,140993 +2026-07-20 18:48:00+00:00,742.955322265625,743.0,742.8499755859375,742.9000244140625,48910 +2026-07-20 18:49:00+00:00,742.9000244140625,742.97998046875,742.6400146484375,742.7000122070312,64503 +2026-07-20 18:50:00+00:00,742.7100219726562,742.9000244140625,742.5599975585938,742.8099975585938,61550 +2026-07-20 18:51:00+00:00,742.7999877929688,742.8400268554688,742.6599731445312,742.7100219726562,44437 +2026-07-20 18:52:00+00:00,742.760009765625,742.97998046875,742.760009765625,742.9099731445312,57779 +2026-07-20 18:53:00+00:00,742.9000244140625,743.0900268554688,742.8099975585938,742.97998046875,54817 +2026-07-20 18:54:00+00:00,743.0,743.22998046875,742.9199829101562,743.0999755859375,83845 +2026-07-20 18:55:00+00:00,743.094970703125,743.1199951171875,742.9199829101562,743.0800170898438,77204 +2026-07-20 18:56:00+00:00,743.0700073242188,743.1400146484375,742.9400024414062,743.0,51183 +2026-07-20 18:57:00+00:00,743.010009765625,743.010009765625,742.72998046875,742.72998046875,52585 +2026-07-20 18:58:00+00:00,742.719970703125,742.760009765625,742.47998046875,742.739990234375,75991 +2026-07-20 18:59:00+00:00,742.739990234375,742.9000244140625,742.6900024414062,742.719970703125,51244 +2026-07-20 19:00:00+00:00,742.760009765625,743.1599731445312,742.719970703125,743.1400146484375,46717 +2026-07-20 19:01:00+00:00,743.155029296875,743.1900024414062,743.0499877929688,743.1500244140625,50425 +2026-07-20 19:02:00+00:00,743.1323852539062,743.1699829101562,742.719970703125,742.739990234375,230473 +2026-07-20 19:03:00+00:00,742.72998046875,742.75,742.47998046875,742.5499877929688,213520 +2026-07-20 19:04:00+00:00,742.5399780273438,742.6799926757812,742.4199829101562,742.5900268554688,75805 +2026-07-20 19:05:00+00:00,742.5900268554688,742.719970703125,742.3599853515625,742.4199829101562,121707 +2026-07-20 19:06:00+00:00,742.4099731445312,742.7050170898438,742.25,742.7050170898438,149193 +2026-07-20 19:07:00+00:00,742.6849975585938,742.7050170898438,742.489990234375,742.64501953125,106921 +2026-07-20 19:08:00+00:00,742.6500244140625,742.6599731445312,742.5,742.5599975585938,68497 +2026-07-20 19:09:00+00:00,742.5700073242188,742.8209838867188,742.52001953125,742.6950073242188,78779 +2026-07-20 19:10:00+00:00,742.6994018554688,743.0999755859375,742.6799926757812,742.989990234375,115405 +2026-07-20 19:11:00+00:00,742.97998046875,742.97998046875,742.4849853515625,742.530029296875,131580 +2026-07-20 19:12:00+00:00,742.5200805664062,742.5599975585938,742.3800048828125,742.4000244140625,59382 +2026-07-20 19:13:00+00:00,742.3900146484375,742.3995971679688,741.97998046875,742.0133056640625,126434 +2026-07-20 19:14:00+00:00,742.02001953125,742.0599975585938,741.7000122070312,741.7000122070312,158942 +2026-07-20 19:15:00+00:00,741.7100219726562,741.9400024414062,741.5103149414062,741.8599853515625,602247 +2026-07-20 19:16:00+00:00,741.85498046875,742.010009765625,741.7849731445312,741.989990234375,93319 +2026-07-20 19:17:00+00:00,742.0,742.2100219726562,741.7100219726562,741.9600219726562,120481 +2026-07-20 19:18:00+00:00,741.9600219726562,741.989990234375,741.8099975585938,741.97998046875,70085 +2026-07-20 19:19:00+00:00,741.97998046875,742.0999755859375,741.9199829101562,741.9199829101562,83917 +2026-07-20 19:20:00+00:00,741.9299926757812,742.2000122070312,741.8599853515625,741.9000244140625,74383 +2026-07-20 19:21:00+00:00,741.8900146484375,742.1599731445312,741.8699951171875,741.9349975585938,273373 +2026-07-20 19:22:00+00:00,741.9345703125,742.1400146484375,741.9345703125,741.9600219726562,89284 +2026-07-20 19:23:00+00:00,741.9600219726562,742.2999877929688,741.7899780273438,742.2999877929688,89988 +2026-07-20 19:24:00+00:00,742.2999877929688,742.4299926757812,742.1799926757812,742.2999877929688,87778 +2026-07-20 19:25:00+00:00,742.3200073242188,742.3900146484375,742.0499877929688,742.0599975585938,68705 +2026-07-20 19:26:00+00:00,742.0499877929688,742.052490234375,741.8800048828125,741.969970703125,63603 +2026-07-20 19:27:00+00:00,741.97998046875,742.0800170898438,741.8599853515625,742.0792236328125,129542 +2026-07-20 19:28:00+00:00,742.0599975585938,742.1699829101562,741.969970703125,742.0,109466 +2026-07-20 19:29:00+00:00,742.0,742.9199829101562,741.969970703125,742.72998046875,312152 +2026-07-20 19:30:00+00:00,742.739990234375,742.969970703125,742.4000244140625,742.4299926757812,184046 +2026-07-20 19:31:00+00:00,742.4199829101562,743.0,742.3400268554688,742.969970703125,118332 +2026-07-20 19:32:00+00:00,742.97998046875,743.2000122070312,742.8900146484375,743.1900024414062,93050 +2026-07-20 19:33:00+00:00,743.1799926757812,743.2000122070312,742.8900146484375,742.9400024414062,225224 +2026-07-20 19:34:00+00:00,742.9500122070312,743.1300048828125,742.9000244140625,742.97998046875,89266 +2026-07-20 19:35:00+00:00,742.9600219726562,743.0549926757812,742.6199951171875,742.6500244140625,110563 +2026-07-20 19:36:00+00:00,742.6400146484375,742.8300170898438,742.530029296875,742.6099853515625,122833 +2026-07-20 19:37:00+00:00,742.6199951171875,742.719970703125,742.510009765625,742.6199951171875,83766 +2026-07-20 19:38:00+00:00,742.5999755859375,742.97998046875,742.510009765625,742.8300170898438,213233 +2026-07-20 19:39:00+00:00,742.8400268554688,743.1300048828125,742.77001953125,742.97998046875,116998 +2026-07-20 19:40:00+00:00,742.969970703125,743.1900024414062,742.8200073242188,743.1500244140625,139823 +2026-07-20 19:41:00+00:00,743.1500244140625,743.3099975585938,743.0800170898438,743.2349853515625,116633 +2026-07-20 19:42:00+00:00,743.25,743.3400268554688,742.8099975585938,742.9000244140625,161346 +2026-07-20 19:43:00+00:00,742.8800048828125,743.0700073242188,742.7999877929688,743.0401000976562,83979 +2026-07-20 19:44:00+00:00,743.0399780273438,743.0700073242188,742.9099731445312,742.989990234375,66636 +2026-07-20 19:45:00+00:00,743.0,743.25,742.72998046875,742.7999877929688,137449 +2026-07-20 19:46:00+00:00,742.780029296875,743.0599975585938,742.7000122070312,743.0549926757812,154307 +2026-07-20 19:47:00+00:00,743.0599975585938,743.0700073242188,742.8099975585938,742.8200073242188,483595 +2026-07-20 19:48:00+00:00,742.8099975585938,742.8699951171875,742.7100219726562,742.8599853515625,92459 +2026-07-20 19:49:00+00:00,742.8699951171875,743.0999755859375,742.8499755859375,743.0800170898438,125854 +2026-07-20 19:50:00+00:00,743.0700073242188,743.0700073242188,742.3499755859375,742.52001953125,502363 +2026-07-20 19:51:00+00:00,742.52001953125,742.5599975585938,742.155029296875,742.25,344675 +2026-07-20 19:52:00+00:00,742.239990234375,742.3800048828125,741.760009765625,742.2100219726562,489020 +2026-07-20 19:53:00+00:00,742.2100219726562,742.219970703125,742.0050048828125,742.0150146484375,184811 +2026-07-20 19:54:00+00:00,742.010009765625,742.22998046875,741.9099731445312,742.2000122070312,373801 +2026-07-20 19:55:00+00:00,742.1799926757812,742.239990234375,741.6900024414062,741.9099731445312,617878 +2026-07-20 19:56:00+00:00,741.9099731445312,742.1500244140625,741.6900024414062,742.135009765625,563446 +2026-07-20 19:57:00+00:00,742.1199951171875,742.2100219726562,741.97998046875,741.9949951171875,527621 +2026-07-20 19:58:00+00:00,742.010009765625,742.1099853515625,741.9199829101562,742.0399780273438,558619 +2026-07-20 19:59:00+00:00,742.030029296875,742.1500244140625,741.6099853515625,742.1400146484375,2093757 +2026-07-21 13:30:00+00:00,746.2899780273438,746.6799926757812,745.75,745.75,1286456 +2026-07-21 13:31:00+00:00,745.72998046875,745.739990234375,745.25,745.47998046875,236382 +2026-07-21 13:32:00+00:00,745.47998046875,745.5800170898438,745.2949829101562,745.4400024414062,95279 +2026-07-21 13:33:00+00:00,745.4349975585938,745.489990234375,745.1199951171875,745.14501953125,92895 +2026-07-21 13:34:00+00:00,745.1799926757812,745.719970703125,745.1199951171875,745.5999755859375,189999 +2026-07-21 13:35:00+00:00,745.6099853515625,745.8499755859375,745.3900146484375,745.844970703125,192252 +2026-07-21 13:36:00+00:00,745.8499755859375,746.231689453125,745.5800170898438,745.6099853515625,279008 +2026-07-21 13:37:00+00:00,745.5900268554688,745.6900024414062,745.27001953125,745.4500122070312,169115 +2026-07-21 13:38:00+00:00,745.4400024414062,745.5999755859375,745.2999877929688,745.4650268554688,90514 +2026-07-21 13:39:00+00:00,745.4600219726562,745.6875,745.280029296875,745.280029296875,94023 +2026-07-21 13:40:00+00:00,745.260009765625,745.3099975585938,744.6298828125,744.8499755859375,225629 +2026-07-21 13:41:00+00:00,744.8300170898438,744.8499755859375,744.3599853515625,744.510009765625,90399 +2026-07-21 13:42:00+00:00,744.52001953125,744.719970703125,744.4199829101562,744.47998046875,105257 +2026-07-21 13:43:00+00:00,744.489990234375,744.8800048828125,744.47998046875,744.52001953125,98515 +2026-07-21 13:44:00+00:00,744.510009765625,744.6400146484375,744.2708740234375,744.510009765625,80552 +2026-07-21 13:45:00+00:00,744.52001953125,744.6849975585938,744.4099731445312,744.5399780273438,109850 +2026-07-21 13:46:00+00:00,744.5499877929688,744.7899780273438,744.4149780273438,744.489990234375,60758 +2026-07-21 13:47:00+00:00,744.4849853515625,744.5900268554688,744.1799926757812,744.4400024414062,70795 +2026-07-21 13:48:00+00:00,744.4199829101562,744.9199829101562,744.4149780273438,744.8300170898438,65638 +2026-07-21 13:49:00+00:00,744.8508911132812,745.0,744.7100219726562,744.9500122070312,113085 +2026-07-21 13:50:00+00:00,744.969970703125,745.3499755859375,744.75,744.8900146484375,118219 +2026-07-21 13:51:00+00:00,744.89501953125,744.97998046875,744.4400024414062,744.469482421875,87325 +2026-07-21 13:52:00+00:00,744.4450073242188,744.8150024414062,744.260009765625,744.77001953125,58694 +2026-07-21 13:53:00+00:00,744.760009765625,745.1599731445312,744.6500244140625,745.119873046875,56457 +2026-07-21 13:54:00+00:00,745.1199951171875,745.2100219726562,744.7940063476562,745.0700073242188,65520 +2026-07-21 13:55:00+00:00,745.0499877929688,745.3400268554688,744.760009765625,744.8699951171875,79003 +2026-07-21 13:56:00+00:00,744.8699951171875,744.9199829101562,744.6300048828125,744.7949829101562,41376 +2026-07-21 13:57:00+00:00,744.7899780273438,744.9400024414062,744.6300048828125,744.9249877929688,45261 +2026-07-21 13:58:00+00:00,744.9299926757812,744.9299926757812,744.6099853515625,744.8300170898438,63586 +2026-07-21 13:59:00+00:00,744.8350219726562,745.364990234375,744.77001953125,745.3599853515625,114900 +2026-07-21 14:00:00+00:00,745.3699951171875,745.869873046875,745.2999877929688,745.614990234375,142445 +2026-07-21 14:01:00+00:00,745.5700073242188,745.7249755859375,745.3505249023438,745.4600219726562,70660 +2026-07-21 14:02:00+00:00,745.4550170898438,745.5800170898438,745.3099975585938,745.3699951171875,56626 +2026-07-21 14:03:00+00:00,745.3699951171875,745.510009765625,744.9600219726562,745.3800048828125,50143 +2026-07-21 14:04:00+00:00,745.3900146484375,745.4500122070312,745.2299194335938,745.4199829101562,28849 +2026-07-21 14:05:00+00:00,745.4199829101562,745.489990234375,745.02001953125,745.3289794921875,46324 +2026-07-21 14:06:00+00:00,745.3300170898438,745.77001953125,745.260009765625,745.7000122070312,51445 +2026-07-21 14:07:00+00:00,745.6950073242188,745.7150268554688,745.219970703125,745.3200073242188,51957 +2026-07-21 14:08:00+00:00,745.2999877929688,745.5599975585938,745.2000122070312,745.4000244140625,35167 +2026-07-21 14:09:00+00:00,745.4199829101562,745.5650024414062,745.0999755859375,745.1950073242188,27465 +2026-07-21 14:10:00+00:00,745.1900024414062,745.3099975585938,744.9500122070312,745.1900024414062,60539 +2026-07-21 14:11:00+00:00,745.2000122070312,745.27001953125,744.97998046875,745.1199951171875,59086 +2026-07-21 14:12:00+00:00,745.1199951171875,745.375,745.1199951171875,745.2100219726562,42649 +2026-07-21 14:13:00+00:00,745.1699829101562,745.5800170898438,745.1351928710938,745.5399780273438,77198 +2026-07-21 14:14:00+00:00,745.510009765625,745.8599853515625,745.5,745.7449951171875,45188 +2026-07-21 14:15:00+00:00,745.719970703125,745.719970703125,744.9099731445312,745.0700073242188,67832 +2026-07-21 14:16:00+00:00,745.0999755859375,745.0999755859375,744.7899780273438,744.9600219726562,48845 +2026-07-21 14:17:00+00:00,744.969970703125,745.409912109375,744.9000244140625,745.3699951171875,24781 +2026-07-21 14:18:00+00:00,745.3900146484375,746.1699829101562,745.3699951171875,746.0,103550 +2026-07-21 14:19:00+00:00,746.0,746.0640258789062,745.8800048828125,746.02001953125,57129 +2026-07-21 14:20:00+00:00,746.0150146484375,746.1900024414062,745.7999877929688,745.8300170898438,67665 +2026-07-21 14:21:00+00:00,745.8200073242188,745.9299926757812,745.4550170898438,745.52001953125,51747 +2026-07-21 14:22:00+00:00,745.530029296875,745.969970703125,745.5198974609375,745.8699951171875,50887 +2026-07-21 14:23:00+00:00,745.875,746.0598754882812,745.7999877929688,746.02001953125,29552 +2026-07-21 14:24:00+00:00,746.02001953125,746.0900268554688,745.8499755859375,745.97998046875,24601 +2026-07-21 14:25:00+00:00,745.9600219726562,746.469970703125,745.9299926757812,746.3400268554688,60130 +2026-07-21 14:26:00+00:00,746.3499755859375,746.47998046875,746.22998046875,746.4500122070312,53882 +2026-07-21 14:27:00+00:00,746.4324951171875,746.7899780273438,746.3900146484375,746.739990234375,92664 +2026-07-21 14:28:00+00:00,746.7899780273438,746.989990234375,746.5599975585938,746.5999755859375,82075 +2026-07-21 14:29:00+00:00,746.5800170898438,746.8699951171875,746.5650024414062,746.8699951171875,161938 +2026-07-21 14:30:00+00:00,746.8499755859375,747.0800170898438,746.7999877929688,746.969970703125,85997 +2026-07-21 14:31:00+00:00,746.97998046875,747.25,746.875,747.1649780273438,76414 +2026-07-21 14:32:00+00:00,747.1699829101562,747.1900024414062,746.77001953125,746.8200073242188,77659 +2026-07-21 14:33:00+00:00,746.8200073242188,746.8699951171875,746.6699829101562,746.7000122070312,55558 +2026-07-21 14:34:00+00:00,746.6900024414062,746.9500122070312,746.5800170898438,746.7999877929688,44384 +2026-07-21 14:35:00+00:00,746.7949829101562,747.02001953125,746.6099853515625,746.6799926757812,52704 +2026-07-21 14:36:00+00:00,746.6799926757812,746.75,746.4299926757812,746.5399780273438,58025 +2026-07-21 14:37:00+00:00,746.5449829101562,746.5900268554688,746.405029296875,746.5399780273438,52264 +2026-07-21 14:38:00+00:00,746.5499877929688,746.5900268554688,746.14501953125,746.25,99651 +2026-07-21 14:39:00+00:00,746.25,746.3400268554688,746.0900268554688,746.2999877929688,38905 +2026-07-21 14:40:00+00:00,746.2999877929688,746.4249877929688,746.1524047851562,746.3200073242188,26107 +2026-07-21 14:41:00+00:00,746.280029296875,746.280029296875,745.8900146484375,745.9199829101562,108764 +2026-07-21 14:42:00+00:00,745.9299926757812,746.0850219726562,745.77001953125,746.0700073242188,63703 +2026-07-21 14:43:00+00:00,746.0700073242188,746.5900268554688,746.0700073242188,746.510009765625,44254 +2026-07-21 14:44:00+00:00,746.52001953125,746.635009765625,746.510009765625,746.5999755859375,55336 +2026-07-21 14:45:00+00:00,746.6099853515625,746.9400024414062,746.6099853515625,746.7899780273438,78510 +2026-07-21 14:46:00+00:00,746.780029296875,746.97998046875,746.7000122070312,746.7700805664062,64704 +2026-07-21 14:47:00+00:00,746.760009765625,746.7899780273438,746.4500122070312,746.6699829101562,124526 +2026-07-21 14:48:00+00:00,746.6799926757812,747.260009765625,746.6314697265625,746.9600219726562,85250 +2026-07-21 14:49:00+00:00,746.9500122070312,747.0499877929688,746.8800048828125,746.9099731445312,48238 +2026-07-21 14:50:00+00:00,746.9099731445312,746.9600219726562,746.7100219726562,746.9199829101562,62978 +2026-07-21 14:51:00+00:00,746.8900146484375,746.9099731445312,746.6699829101562,746.8399047851562,19457 +2026-07-21 14:52:00+00:00,746.8400268554688,746.9500122070312,746.6699829101562,746.7000122070312,21175 +2026-07-21 14:53:00+00:00,746.6900024414062,746.719970703125,746.5800170898438,746.635009765625,42702 +2026-07-21 14:54:00+00:00,746.625,746.7192993164062,746.5,746.6900024414062,19738 +2026-07-21 14:55:00+00:00,746.6799926757812,746.739990234375,746.5759887695312,746.6900024414062,26192 +2026-07-21 14:56:00+00:00,746.6950073242188,746.7150268554688,746.260009765625,746.3300170898438,74734 +2026-07-21 14:57:00+00:00,746.3499755859375,746.5900268554688,746.3300170898438,746.5,30300 +2026-07-21 14:58:00+00:00,746.5,746.719970703125,746.5,746.6799926757812,34400 +2026-07-21 14:59:00+00:00,746.6599731445312,746.7899780273438,746.6099853515625,746.739990234375,37075 +2026-07-21 15:00:00+00:00,746.77001953125,746.8900146484375,746.7000122070312,746.7999877929688,48929 +2026-07-21 15:01:00+00:00,746.8099975585938,746.8300170898438,746.3400268554688,746.3900146484375,39330 +2026-07-21 15:02:00+00:00,746.3900146484375,746.4000244140625,745.9199829101562,745.9650268554688,126520 +2026-07-21 15:03:00+00:00,745.9600219726562,746.0599975585938,745.8300170898438,746.0599975585938,59626 +2026-07-21 15:04:00+00:00,746.0399780273438,746.1400146484375,745.9400024414062,746.0009765625,36088 +2026-07-21 15:05:00+00:00,746.0,746.1699829101562,745.8499755859375,746.135009765625,25128 +2026-07-21 15:06:00+00:00,746.1400146484375,746.4400024414062,746.1400146484375,746.4099731445312,84116 +2026-07-21 15:07:00+00:00,746.405029296875,746.719970703125,746.3800048828125,746.6599731445312,58030 +2026-07-21 15:08:00+00:00,746.6500244140625,746.75,746.5499877929688,746.72998046875,44788 +2026-07-21 15:09:00+00:00,746.739990234375,747.0700073242188,746.719970703125,746.97998046875,80791 +2026-07-21 15:10:00+00:00,746.97998046875,747.1799926757812,746.9400024414062,747.0001220703125,82273 +2026-07-21 15:11:00+00:00,747.0,747.0999755859375,746.9550170898438,747.0802001953125,41849 +2026-07-21 15:12:00+00:00,747.0800170898438,747.4400024414062,747.0800170898438,747.39111328125,88327 +2026-07-21 15:13:00+00:00,747.4000244140625,747.52001953125,747.1566772460938,747.1795043945312,73054 +2026-07-21 15:14:00+00:00,747.1599731445312,747.280029296875,747.125,747.2097778320312,51641 +2026-07-21 15:15:00+00:00,747.2100219726562,747.3200073242188,747.1900024414062,747.2301025390625,46843 +2026-07-21 15:16:00+00:00,747.2349853515625,747.3101196289062,747.1588134765625,747.2288208007812,41085 +2026-07-21 15:17:00+00:00,747.22998046875,747.4400024414062,747.2000122070312,747.4400024414062,31556 +2026-07-21 15:18:00+00:00,747.4500122070312,747.5,747.3300170898438,747.4299926757812,32597 +2026-07-21 15:19:00+00:00,747.4400024414062,747.5499877929688,747.3400268554688,747.4099731445312,50874 +2026-07-21 15:20:00+00:00,747.4099731445312,747.510009765625,747.3499755859375,747.3699951171875,60500 +2026-07-21 15:21:00+00:00,747.3699951171875,747.97998046875,747.3200073242188,747.6599731445312,84059 +2026-07-21 15:22:00+00:00,747.6599731445312,747.77001953125,747.5599975585938,747.5900268554688,80279 +2026-07-21 15:23:00+00:00,747.6099853515625,747.6199951171875,747.47998046875,747.5800170898438,43515 +2026-07-21 15:24:00+00:00,747.5789184570312,747.719970703125,747.5599975585938,747.656005859375,158141 +2026-07-21 15:25:00+00:00,747.6544189453125,747.739990234375,747.6099853515625,747.7150268554688,39775 +2026-07-21 15:26:00+00:00,747.7100219726562,747.9099731445312,747.7000122070312,747.889892578125,28019 +2026-07-21 15:27:00+00:00,747.9000244140625,748.0051879882812,747.864990234375,747.905029296875,52144 +2026-07-21 15:28:00+00:00,747.905029296875,747.97998046875,747.7899780273438,747.9199829101562,30876 +2026-07-21 15:29:00+00:00,747.9400024414062,748.010009765625,747.8353881835938,748.0,40621 +2026-07-21 15:30:00+00:00,747.97998046875,748.0,747.8001098632812,747.8499755859375,46721 +2026-07-21 15:31:00+00:00,747.8400268554688,747.9299926757812,747.739990234375,747.739990234375,39157 +2026-07-21 15:32:00+00:00,747.72998046875,747.9099731445312,747.7000122070312,747.8200073242188,64142 +2026-07-21 15:33:00+00:00,747.8150024414062,747.8699951171875,747.4099731445312,747.5700073242188,175884 +2026-07-21 15:34:00+00:00,747.5750122070312,747.8200073242188,747.5599975585938,747.7750244140625,38467 +2026-07-21 15:35:00+00:00,747.7899780273438,747.9299926757812,747.4299926757812,747.52001953125,121925 +2026-07-21 15:36:00+00:00,747.52001953125,747.75,747.489990234375,747.6900024414062,27440 +2026-07-21 15:37:00+00:00,747.6799926757812,747.7050170898438,747.5599975585938,747.5700073242188,19272 +2026-07-21 15:38:00+00:00,747.5745849609375,747.6400146484375,747.4600219726562,747.52001953125,24070 +2026-07-21 15:39:00+00:00,747.510009765625,747.6749877929688,747.510009765625,747.5800170898438,74519 +2026-07-21 15:40:00+00:00,747.5599975585938,747.6599731445312,747.530029296875,747.6500244140625,68325 +2026-07-21 15:41:00+00:00,747.6599731445312,747.8588256835938,747.6599731445312,747.72998046875,61244 +2026-07-21 15:42:00+00:00,747.739990234375,747.7869873046875,747.6699829101562,747.739990234375,23670 +2026-07-21 15:43:00+00:00,747.75,747.7550048828125,747.5599975585938,747.6900024414062,42859 +2026-07-21 15:44:00+00:00,747.6900024414062,747.780029296875,747.5198974609375,747.594970703125,39014 +2026-07-21 15:45:00+00:00,747.580322265625,747.6699829101562,747.530029296875,747.5499877929688,36504 +2026-07-21 15:46:00+00:00,747.5750122070312,747.6300048828125,747.5499877929688,747.6069946289062,23963 +2026-07-21 15:47:00+00:00,747.5999755859375,747.7344970703125,747.5499877929688,747.6799926757812,28580 +2026-07-21 15:48:00+00:00,747.7000122070312,747.8099975585938,747.6799926757812,747.77001953125,36877 +2026-07-21 15:49:00+00:00,747.77001953125,747.9199829101562,747.760009765625,747.8115234375,39970 +2026-07-21 15:50:00+00:00,747.8200073242188,747.97998046875,747.77001953125,747.8201293945312,146785 +2026-07-21 15:51:00+00:00,747.8200073242188,747.9400024414062,747.8200073242188,747.8699951171875,44249 +2026-07-21 15:52:00+00:00,747.8800048828125,747.969970703125,747.760009765625,747.77001953125,36955 +2026-07-21 15:53:00+00:00,747.780029296875,747.885009765625,747.739990234375,747.8599853515625,19011 +2026-07-21 15:54:00+00:00,747.8599853515625,747.8798828125,747.7000122070312,747.719970703125,23841 +2026-07-21 15:55:00+00:00,747.77001953125,747.8599853515625,747.6500244140625,747.7100219726562,16595 +2026-07-21 15:56:00+00:00,747.719970703125,747.9000244140625,747.6699829101562,747.82177734375,13597 +2026-07-21 15:57:00+00:00,747.8300170898438,747.8300170898438,747.6900024414062,747.739990234375,12814 +2026-07-21 15:58:00+00:00,747.719970703125,747.780029296875,747.6500244140625,747.7000122070312,78633 +2026-07-21 15:59:00+00:00,747.6900024414062,747.6900024414062,747.469970703125,747.52001953125,57342 +2026-07-21 16:00:00+00:00,747.52001953125,747.780029296875,747.489990234375,747.7000122070312,73487 +2026-07-21 16:01:00+00:00,747.7150268554688,747.8099975585938,747.7100219726562,747.8099975585938,21385 +2026-07-21 16:02:00+00:00,747.8099975585938,747.8900146484375,747.7899780273438,747.864990234375,26249 +2026-07-21 16:03:00+00:00,747.864990234375,747.989990234375,747.8599853515625,747.989990234375,43931 +2026-07-21 16:04:00+00:00,748.0,748.22998046875,748.0,748.219970703125,70361 +2026-07-21 16:05:00+00:00,748.2255249023438,748.2255249023438,748.1300048828125,748.219970703125,35648 +2026-07-21 16:06:00+00:00,748.2150268554688,748.2899780273438,748.1599731445312,748.1849975585938,47731 +2026-07-21 16:07:00+00:00,748.1799926757812,748.1799926757812,748.0700073242188,748.1500854492188,27176 +2026-07-21 16:08:00+00:00,748.1749877929688,748.3099975585938,748.1099853515625,748.1300048828125,25056 +2026-07-21 16:09:00+00:00,748.1300048828125,748.22998046875,748.0999755859375,748.1500244140625,22197 +2026-07-21 16:10:00+00:00,748.1497802734375,748.2050170898438,748.1099853515625,748.1799926757812,33440 +2026-07-21 16:11:00+00:00,748.1799926757812,748.27001953125,748.1599731445312,748.1799926757812,41247 +2026-07-21 16:12:00+00:00,748.1799926757812,748.1900024414062,748.0399780273438,748.1220092773438,21829 +2026-07-21 16:13:00+00:00,748.1199951171875,748.1500244140625,748.0599975585938,748.135009765625,25328 +2026-07-21 16:14:00+00:00,748.1400146484375,748.25,748.1199951171875,748.22998046875,41741 +2026-07-21 16:15:00+00:00,748.239990234375,748.510009765625,748.219970703125,748.4099731445312,277688 +2026-07-21 16:16:00+00:00,748.4199829101562,748.489990234375,748.3800048828125,748.4299926757812,57792 +2026-07-21 16:17:00+00:00,748.4201049804688,748.4600219726562,748.4000244140625,748.4000244140625,49985 +2026-07-21 16:18:00+00:00,748.4000244140625,748.530029296875,748.3599853515625,748.3699951171875,41155 +2026-07-21 16:19:00+00:00,748.375,748.469970703125,748.3400268554688,748.469970703125,29594 +2026-07-21 16:20:00+00:00,748.47998046875,748.5150146484375,748.4099731445312,748.4600219726562,28884 +2026-07-21 16:21:00+00:00,748.4400024414062,748.5800170898438,748.4099731445312,748.5700073242188,28897 +2026-07-21 16:22:00+00:00,748.5999755859375,748.6500244140625,748.510498046875,748.6099243164062,50932 +2026-07-21 16:23:00+00:00,748.60498046875,748.75,748.5700073242188,748.6500244140625,47009 +2026-07-21 16:24:00+00:00,748.6599731445312,748.7000122070312,748.5399780273438,748.5800170898438,47248 +2026-07-21 16:25:00+00:00,748.5800170898438,748.6494750976562,748.5499877929688,748.5499877929688,24573 +2026-07-21 16:26:00+00:00,748.5399780273438,748.5599975585938,748.4400024414062,748.530029296875,27364 +2026-07-21 16:27:00+00:00,748.5399780273438,748.5999755859375,748.47998046875,748.5399780273438,20213 +2026-07-21 16:28:00+00:00,748.5499877929688,748.7000122070312,748.52001953125,748.7000122070312,24453 +2026-07-21 16:29:00+00:00,748.7000122070312,748.7000122070312,748.6099853515625,748.6599731445312,22854 +2026-07-21 16:30:00+00:00,748.6400146484375,748.719970703125,748.5700073242188,748.719970703125,49046 +2026-07-21 16:31:00+00:00,748.719970703125,748.780029296875,748.4801025390625,748.530029296875,49002 +2026-07-21 16:32:00+00:00,748.530029296875,748.6199951171875,748.530029296875,748.5800170898438,27065 +2026-07-21 16:33:00+00:00,748.5900268554688,748.6699829101562,748.5599975585938,748.6500244140625,33200 +2026-07-21 16:34:00+00:00,748.6500244140625,748.7050170898438,748.6300048828125,748.6849975585938,28638 +2026-07-21 16:35:00+00:00,748.680908203125,748.680908203125,748.5599975585938,748.625,24202 +2026-07-21 16:36:00+00:00,748.6199951171875,748.6599731445312,748.489990234375,748.64990234375,21353 +2026-07-21 16:37:00+00:00,748.6199951171875,748.64990234375,748.52001953125,748.64501953125,21091 +2026-07-21 16:38:00+00:00,748.6500244140625,748.7100219726562,748.6400146484375,748.7100219726562,20335 +2026-07-21 16:39:00+00:00,748.719970703125,748.719970703125,748.6300048828125,748.6699829101562,14487 +2026-07-21 16:40:00+00:00,748.6699829101562,748.739990234375,748.6500244140625,748.6599731445312,20968 +2026-07-21 16:41:00+00:00,748.6599731445312,748.6898803710938,748.531982421875,748.531982421875,33178 +2026-07-21 16:42:00+00:00,748.536376953125,748.6400146484375,748.5,748.52001953125,29648 +2026-07-21 16:43:00+00:00,748.52001953125,748.6199951171875,748.510009765625,748.60498046875,19223 +2026-07-21 16:44:00+00:00,748.60498046875,748.6099853515625,748.5499877929688,748.6099853515625,17479 +2026-07-21 16:45:00+00:00,748.6300048828125,748.6500244140625,748.52001953125,748.530029296875,23171 +2026-07-21 16:46:00+00:00,748.5401000976562,748.5499877929688,748.4000244140625,748.510009765625,29267 +2026-07-21 16:47:00+00:00,748.510009765625,748.594970703125,748.510009765625,748.530029296875,22557 +2026-07-21 16:48:00+00:00,748.530029296875,748.5399780273438,748.4600219726562,748.510009765625,22753 +2026-07-21 16:49:00+00:00,748.510009765625,748.5499877929688,748.469970703125,748.489990234375,27452 +2026-07-21 16:50:00+00:00,748.489990234375,748.6046142578125,748.4500122070312,748.6046142578125,31009 +2026-07-21 16:51:00+00:00,748.60009765625,748.7999877929688,748.5999755859375,748.7999877929688,50402 +2026-07-21 16:52:00+00:00,748.8099975585938,748.9249877929688,748.7899780273438,748.875,62749 +2026-07-21 16:53:00+00:00,748.875,748.9099731445312,748.7999877929688,748.8699951171875,29796 +2026-07-21 16:54:00+00:00,748.8599853515625,748.9949951171875,748.8400268554688,748.9598999023438,41406 +2026-07-21 16:55:00+00:00,748.9600219726562,749.0399780273438,748.9000244140625,749.0,67714 +2026-07-21 16:56:00+00:00,749.0,749.030029296875,748.8599853515625,748.8599853515625,436432 +2026-07-21 16:57:00+00:00,748.8599853515625,748.9500122070312,748.8023071289062,748.8372802734375,61784 +2026-07-21 16:58:00+00:00,748.844970703125,748.9000244140625,748.77001953125,748.7899780273438,29270 +2026-07-21 16:59:00+00:00,748.7899780273438,748.7999877929688,748.6799926757812,748.6900024414062,25630 +2026-07-21 17:00:00+00:00,748.6884155273438,748.8300170898438,748.6884155273438,748.77001953125,40502 +2026-07-21 17:01:00+00:00,748.77001953125,748.77001953125,748.6599731445312,748.72998046875,25478 +2026-07-21 17:02:00+00:00,748.72998046875,748.7349853515625,748.5999755859375,748.7000122070312,29647 +2026-07-21 17:03:00+00:00,748.6950073242188,748.760009765625,748.5900268554688,748.6199951171875,31645 +2026-07-21 17:04:00+00:00,748.6199951171875,748.6400146484375,748.5805053710938,748.6199951171875,43071 +2026-07-21 17:05:00+00:00,748.6199951171875,748.7349853515625,748.5800170898438,748.7100219726562,51758 +2026-07-21 17:06:00+00:00,748.7098999023438,748.72998046875,748.647705078125,748.6699829101562,53805 +2026-07-21 17:07:00+00:00,748.6699829101562,748.739990234375,748.6500244140625,748.6599731445312,44120 +2026-07-21 17:08:00+00:00,748.6400756835938,748.75,748.6199951171875,748.7302856445312,48272 +2026-07-21 17:09:00+00:00,748.75,748.85498046875,748.7050170898438,748.7100219726562,158400 +2026-07-21 17:10:00+00:00,748.719970703125,748.739990234375,748.530029296875,748.5700073242188,33570 +2026-07-21 17:11:00+00:00,748.5700073242188,748.6099853515625,748.5399780273438,748.5800170898438,547917 +2026-07-21 17:12:00+00:00,748.5800170898438,748.6749877929688,748.5800170898438,748.5900268554688,45627 +2026-07-21 17:13:00+00:00,748.5900268554688,748.739990234375,748.5800170898438,748.6199951171875,0 +2026-07-21 17:14:00+00:00,748.6199951171875,748.7100219726562,748.5999755859375,748.5999755859375,69497 +2026-07-21 17:15:00+00:00,748.6099853515625,748.6599731445312,748.4400024414062,748.4500122070312,39437 +2026-07-21 17:16:00+00:00,748.4450073242188,748.510009765625,748.3800048828125,748.4550170898438,60974 +2026-07-21 17:17:00+00:00,748.4600219726562,748.5499877929688,748.4199829101562,748.4600219726562,43989 +2026-07-21 17:18:00+00:00,748.4500122070312,748.510009765625,748.4299926757812,748.5,40205 +2026-07-21 17:19:00+00:00,748.52001953125,748.5399780273438,748.3300170898438,748.35498046875,150980 +2026-07-21 17:20:00+00:00,748.3499755859375,748.3499755859375,748.2905883789062,748.3300170898438,34527 +2026-07-21 17:21:00+00:00,748.3300170898438,748.47998046875,748.25,748.2899780273438,57239 +2026-07-21 17:22:00+00:00,748.2899780273438,748.4099731445312,748.280029296875,748.3599853515625,29678 +2026-07-21 17:23:00+00:00,748.3499755859375,748.4500122070312,748.3300170898438,748.3400268554688,40004 +2026-07-21 17:24:00+00:00,748.3599853515625,748.469970703125,748.3200073242188,748.4000244140625,31491 +2026-07-21 17:25:00+00:00,748.4199829101562,748.47998046875,748.3400268554688,748.3699951171875,30144 +2026-07-21 17:26:00+00:00,748.3699951171875,748.4199829101562,748.3200073242188,748.375,23020 +2026-07-21 17:27:00+00:00,748.3699951171875,748.4000244140625,748.3099975585938,748.3099975585938,16884 +2026-07-21 17:28:00+00:00,748.2999877929688,748.3049926757812,748.239990234375,748.2899780273438,59533 +2026-07-21 17:29:00+00:00,748.280029296875,748.3699951171875,748.25,748.3599853515625,46033 +2026-07-21 17:30:00+00:00,748.3599853515625,748.52001953125,748.3499755859375,748.4450073242188,47171 +2026-07-21 17:31:00+00:00,748.4400024414062,748.5399780273438,748.4000244140625,748.530029296875,52864 +2026-07-21 17:32:00+00:00,748.52001953125,748.5700073242188,748.4749755859375,748.5399780273438,39915 +2026-07-21 17:33:00+00:00,748.5399780273438,748.5545043945312,748.3900146484375,748.4000854492188,31223 +2026-07-21 17:34:00+00:00,748.4000244140625,748.4099731445312,748.2150268554688,748.3599853515625,53907 +2026-07-21 17:35:00+00:00,748.3499755859375,748.4199829101562,748.3400268554688,748.4099731445312,58568 +2026-07-21 17:36:00+00:00,748.4199829101562,748.5800170898438,748.4141235351562,748.5700073242188,30963 +2026-07-21 17:37:00+00:00,748.5700073242188,748.6400146484375,748.52001953125,748.5900268554688,50515 +2026-07-21 17:38:00+00:00,748.5999755859375,748.7999877929688,748.5700073242188,748.6599731445312,58873 +2026-07-21 17:39:00+00:00,748.6500244140625,748.719970703125,748.6099853515625,748.7000122070312,48760 +2026-07-21 17:40:00+00:00,748.7000122070312,748.72998046875,748.5800170898438,748.5999755859375,42002 +2026-07-21 17:41:00+00:00,748.5999755859375,748.6300048828125,748.5499877929688,748.5800170898438,23807 +2026-07-21 17:42:00+00:00,748.5700073242188,748.5900268554688,748.510009765625,748.530029296875,34606 +2026-07-21 17:43:00+00:00,748.530029296875,748.6199951171875,748.510009765625,748.6199951171875,20476 +2026-07-21 17:44:00+00:00,748.6300048828125,748.6900024414062,748.5908813476562,748.669921875,21493 +2026-07-21 17:45:00+00:00,748.6599731445312,748.72998046875,748.5599975585938,748.5599975585938,35020 +2026-07-21 17:46:00+00:00,748.5800170898438,748.7000122070312,748.5499877929688,748.60009765625,40904 +2026-07-21 17:47:00+00:00,748.6099853515625,748.739990234375,748.6076049804688,748.6799926757812,20466 +2026-07-21 17:48:00+00:00,748.7100219726562,748.75,748.6599731445312,748.7100219726562,22316 +2026-07-21 17:49:00+00:00,748.72998046875,748.8599853515625,748.7100219726562,748.8200073242188,43070 +2026-07-21 17:50:00+00:00,748.8400268554688,748.9299926757812,748.8099975585938,748.8599853515625,48509 +2026-07-21 17:51:00+00:00,748.8499755859375,748.85498046875,748.75,748.7899780273438,169891 +2026-07-21 17:52:00+00:00,748.77001953125,748.8389892578125,748.75,748.8300170898438,25100 +2026-07-21 17:53:00+00:00,748.8200073242188,748.8800048828125,748.7750244140625,748.7750244140625,26683 +2026-07-21 17:54:00+00:00,748.780029296875,748.8099975585938,748.6599731445312,748.6799926757812,35914 +2026-07-21 17:55:00+00:00,748.6749877929688,748.719970703125,748.6400146484375,748.655029296875,42438 +2026-07-21 17:56:00+00:00,748.6599731445312,748.719970703125,748.52001953125,748.5599975585938,41026 +2026-07-21 17:57:00+00:00,748.5599975585938,748.64501953125,748.4400024414062,748.530029296875,69018 +2026-07-21 17:58:00+00:00,748.5499877929688,748.5999755859375,748.5,748.551513671875,41191 +2026-07-21 17:59:00+00:00,748.5599975585938,748.6699829101562,748.5499877929688,748.5900268554688,39279 +2026-07-21 18:00:00+00:00,748.5900268554688,748.72900390625,748.530029296875,748.6799926757812,28629 +2026-07-21 18:01:00+00:00,748.6799926757812,748.77001953125,748.5999755859375,748.6599731445312,40009 +2026-07-21 18:02:00+00:00,748.6500244140625,748.719970703125,748.3699951171875,748.4600219726562,82689 +2026-07-21 18:03:00+00:00,748.4500122070312,748.4600219726562,748.260009765625,748.260009765625,81587 +2026-07-21 18:04:00+00:00,748.260009765625,748.469970703125,748.260009765625,748.3200073242188,62663 +2026-07-21 18:05:00+00:00,748.2999877929688,748.3900146484375,748.280029296875,748.3306884765625,39157 +2026-07-21 18:06:00+00:00,748.3400268554688,748.4199829101562,748.27001953125,748.4000244140625,40117 +2026-07-21 18:07:00+00:00,748.405029296875,748.4600219726562,748.3499755859375,748.4099731445312,22964 +2026-07-21 18:08:00+00:00,748.4099731445312,748.5499877929688,748.4099731445312,748.4600219726562,32633 +2026-07-21 18:09:00+00:00,748.4500122070312,748.5,748.4199829101562,748.4550170898438,28186 +2026-07-21 18:10:00+00:00,748.4400024414062,748.4400024414062,748.3400268554688,748.3900146484375,36128 +2026-07-21 18:11:00+00:00,748.4000244140625,748.489990234375,748.3699951171875,748.47998046875,42028 +2026-07-21 18:12:00+00:00,748.47998046875,748.5490112304688,748.4000244140625,748.4000244140625,35771 +2026-07-21 18:13:00+00:00,748.4099731445312,748.4199829101562,748.3583984375,748.3599853515625,30673 +2026-07-21 18:14:00+00:00,748.3499755859375,748.3599853515625,748.1199951171875,748.1599731445312,100981 +2026-07-21 18:15:00+00:00,748.1699829101562,748.2100219726562,748.0900268554688,748.1799926757812,79073 +2026-07-21 18:16:00+00:00,748.1799926757812,748.25,748.1400146484375,748.1801147460938,36207 +2026-07-21 18:17:00+00:00,748.1849975585938,748.25,748.1849975585938,748.25,34038 +2026-07-21 18:18:00+00:00,748.260009765625,748.27001953125,748.0999755859375,748.14990234375,34746 +2026-07-21 18:19:00+00:00,748.1300048828125,748.2100219726562,748.0999755859375,748.2100219726562,35240 +2026-07-21 18:20:00+00:00,748.1900024414062,748.219970703125,748.1099853515625,748.2150268554688,27583 +2026-07-21 18:21:00+00:00,748.2100219726562,748.239990234375,748.1199951171875,748.2100219726562,51173 +2026-07-21 18:22:00+00:00,748.2100219726562,748.3499755859375,748.1900024414062,748.3200073242188,42248 +2026-07-21 18:23:00+00:00,748.3200073242188,748.3400268554688,748.239990234375,748.3099975585938,30097 +2026-07-21 18:24:00+00:00,748.2999877929688,748.4000244140625,748.219970703125,748.2999877929688,49440 +2026-07-21 18:25:00+00:00,748.2899780273438,748.2999877929688,748.1599731445312,748.1799926757812,42551 +2026-07-21 18:26:00+00:00,748.1849975585938,748.1900024414062,748.0999755859375,748.1201171875,38845 +2026-07-21 18:27:00+00:00,748.125,748.1900024414062,748.0650024414062,748.1099243164062,70364 +2026-07-21 18:28:00+00:00,748.0999755859375,748.1500244140625,748.0850219726562,748.1400146484375,37155 +2026-07-21 18:29:00+00:00,748.1300048828125,748.25,748.125,748.2100219726562,127665 +2026-07-21 18:30:00+00:00,748.219970703125,748.260009765625,748.0800170898438,748.0800170898438,29988 +2026-07-21 18:31:00+00:00,748.0999755859375,748.0999755859375,747.9500122070312,747.989990234375,58452 +2026-07-21 18:32:00+00:00,747.97998046875,748.0599975585938,747.9400024414062,748.0,55496 +2026-07-21 18:33:00+00:00,748.010009765625,748.0349731445312,747.9600219726562,748.0349731445312,35144 +2026-07-21 18:34:00+00:00,748.0399780273438,748.0999755859375,747.969970703125,747.969970703125,39206 +2026-07-21 18:35:00+00:00,747.969970703125,748.1649780273438,747.9600219726562,748.1649780273438,32356 +2026-07-21 18:36:00+00:00,748.1699829101562,748.1900024414062,748.0999755859375,748.1199951171875,44470 +2026-07-21 18:37:00+00:00,748.1400146484375,748.1599731445312,748.0999755859375,748.1500244140625,24664 +2026-07-21 18:38:00+00:00,748.1500244140625,748.27001953125,748.1199951171875,748.2449951171875,86880 +2026-07-21 18:39:00+00:00,748.239990234375,748.260009765625,748.1400146484375,748.1500244140625,38847 +2026-07-21 18:40:00+00:00,748.1500244140625,748.1799926757812,748.02001953125,748.1799926757812,35157 +2026-07-21 18:41:00+00:00,748.1799926757812,748.2999877929688,748.1400146484375,748.1500244140625,36652 +2026-07-21 18:42:00+00:00,748.1599731445312,748.3200073242188,748.1500244140625,748.3098754882812,41514 +2026-07-21 18:43:00+00:00,748.2899780273438,748.4600219726562,748.239990234375,748.4600219726562,41576 +2026-07-21 18:44:00+00:00,748.452880859375,748.6099853515625,748.4400024414062,748.5399780273438,60455 +2026-07-21 18:45:00+00:00,748.530029296875,748.6400146484375,748.52001953125,748.5900268554688,47869 +2026-07-21 18:46:00+00:00,748.5800170898438,748.6099853515625,748.52001953125,748.5800170898438,28379 +2026-07-21 18:47:00+00:00,748.580078125,748.580078125,748.3800048828125,748.4500122070312,32793 +2026-07-21 18:48:00+00:00,748.4500122070312,748.469970703125,748.4000244140625,748.4299926757812,22481 +2026-07-21 18:49:00+00:00,748.4199829101562,748.52001953125,748.3900146484375,748.4500122070312,30347 +2026-07-21 18:50:00+00:00,748.469970703125,748.510009765625,748.4400024414062,748.4600219726562,40368 +2026-07-21 18:51:00+00:00,748.4600219726562,748.489990234375,748.4299926757812,748.4299926757812,32066 +2026-07-21 18:52:00+00:00,748.4450073242188,748.469970703125,748.3800048828125,748.405029296875,46307 +2026-07-21 18:53:00+00:00,748.4000244140625,748.4199829101562,748.280029296875,748.3200073242188,39605 +2026-07-21 18:54:00+00:00,748.3099975585938,748.3300170898438,748.25,748.25927734375,27591 +2026-07-21 18:55:00+00:00,748.25,748.5700073242188,748.25,748.3800048828125,85136 +2026-07-21 18:56:00+00:00,748.3699951171875,748.4400024414062,748.22998046875,748.3099975585938,52133 +2026-07-21 18:57:00+00:00,748.3198852539062,748.3200073242188,748.239990234375,748.27001953125,100559 +2026-07-21 18:58:00+00:00,748.27001953125,748.3099975585938,748.239990234375,748.25,34439 +2026-07-21 18:59:00+00:00,748.239990234375,748.4000244140625,748.239990234375,748.3699951171875,42229 +2026-07-21 19:00:00+00:00,748.3800048828125,748.469970703125,748.27001953125,748.2899780273438,74121 +2026-07-21 19:01:00+00:00,748.2999877929688,748.2999877929688,748.1500244140625,748.2349853515625,39412 +2026-07-21 19:02:00+00:00,748.239990234375,748.2999267578125,748.2100219726562,748.22998046875,38062 +2026-07-21 19:03:00+00:00,748.219970703125,748.27001953125,748.2000122070312,748.25,27220 +2026-07-21 19:04:00+00:00,748.239990234375,748.3699951171875,748.239990234375,748.27001953125,46935 +2026-07-21 19:05:00+00:00,748.25,748.3699951171875,748.2000122070312,748.2808837890625,40283 +2026-07-21 19:06:00+00:00,748.2899780273438,748.4199829101562,748.2899780273438,748.3504028320312,100400 +2026-07-21 19:07:00+00:00,748.3798828125,748.4099731445312,748.2999877929688,748.3200073242188,33138 +2026-07-21 19:08:00+00:00,748.3200073242188,748.3499145507812,748.2100219726562,748.22998046875,55455 +2026-07-21 19:09:00+00:00,748.219970703125,748.2899780273438,748.1199951171875,748.135009765625,47796 +2026-07-21 19:10:00+00:00,748.1400146484375,748.2000122070312,748.0900268554688,748.1300048828125,60795 +2026-07-21 19:11:00+00:00,748.1300048828125,748.2249755859375,748.1199951171875,748.219970703125,55368 +2026-07-21 19:12:00+00:00,748.22998046875,748.3300170898438,748.1900024414062,748.260009765625,44840 +2026-07-21 19:13:00+00:00,748.239990234375,748.2999877929688,748.1900024414062,748.2000122070312,94169 +2026-07-21 19:14:00+00:00,748.2000122070312,748.4299926757812,748.1799926757812,748.239990234375,53147 +2026-07-21 19:15:00+00:00,748.25,748.3300170898438,748.1900024414062,748.3250122070312,24072 +2026-07-21 19:16:00+00:00,748.3250122070312,748.4400024414062,748.3099975585938,748.4299926757812,66733 +2026-07-21 19:17:00+00:00,748.4299926757812,748.4600219726562,748.3499755859375,748.4000244140625,29816 +2026-07-21 19:18:00+00:00,748.3900146484375,748.4199829101562,748.3499755859375,748.3499755859375,39035 +2026-07-21 19:19:00+00:00,748.3400268554688,748.3800048828125,748.2802124023438,748.3099975585938,30658 +2026-07-21 19:20:00+00:00,748.3099975585938,748.3900146484375,748.219970703125,748.3599853515625,36603 +2026-07-21 19:21:00+00:00,748.3599853515625,748.3848266601562,748.219970703125,748.22998046875,26010 +2026-07-21 19:22:00+00:00,748.219970703125,748.260009765625,748.1900024414062,748.260009765625,54494 +2026-07-21 19:23:00+00:00,748.260009765625,748.3099975585938,748.2100219726562,748.239990234375,27809 +2026-07-21 19:24:00+00:00,748.27001953125,748.3400268554688,748.239990234375,748.3099975585938,38584 +2026-07-21 19:25:00+00:00,748.2899780273438,748.3400268554688,748.260009765625,748.280029296875,189092 +2026-07-21 19:26:00+00:00,748.280029296875,748.3599853515625,748.219970703125,748.3400268554688,57413 +2026-07-21 19:27:00+00:00,748.3300170898438,748.4600219726562,748.25,748.2899780273438,42128 +2026-07-21 19:28:00+00:00,748.27001953125,748.3800048828125,748.260009765625,748.2999877929688,49532 +2026-07-21 19:29:00+00:00,748.2999877929688,748.3200073242188,748.239990234375,748.260009765625,36939 +2026-07-21 19:30:00+00:00,748.25,748.3499755859375,748.2000122070312,748.3099975585938,74602 +2026-07-21 19:31:00+00:00,748.3200073242188,748.3900146484375,748.2100219726562,748.2449951171875,70396 +2026-07-21 19:32:00+00:00,748.260009765625,748.3300170898438,748.2100219726562,748.2550048828125,73088 +2026-07-21 19:33:00+00:00,748.2550048828125,748.27001953125,748.1599731445312,748.2000122070312,89668 +2026-07-21 19:34:00+00:00,748.2000122070312,748.25,748.1500244140625,748.1799926757812,53731 +2026-07-21 19:35:00+00:00,748.1699829101562,748.3699951171875,748.1199951171875,748.3699951171875,89824 +2026-07-21 19:36:00+00:00,748.3599853515625,748.5,748.3599853515625,748.4600219726562,55863 +2026-07-21 19:37:00+00:00,748.4400024414062,748.5700073242188,748.4299926757812,748.5499877929688,69701 +2026-07-21 19:38:00+00:00,748.530029296875,748.530029296875,748.4400024414062,748.469970703125,59396 +2026-07-21 19:39:00+00:00,748.4600219726562,748.47998046875,748.3699951171875,748.4099731445312,57605 +2026-07-21 19:40:00+00:00,748.4005126953125,748.4400024414062,748.3200073242188,748.3400268554688,295535 +2026-07-21 19:41:00+00:00,748.3499755859375,748.3699951171875,748.239990234375,748.27001953125,92020 +2026-07-21 19:42:00+00:00,748.2750244140625,748.3499755859375,748.25,748.3099975585938,87724 +2026-07-21 19:43:00+00:00,748.2899780273438,748.4500122070312,748.260009765625,748.4500122070312,59841 +2026-07-21 19:44:00+00:00,748.4550170898438,748.5880126953125,748.3900146484375,748.530029296875,207644 +2026-07-21 19:45:00+00:00,748.530029296875,748.5399780273438,748.4298706054688,748.4400024414062,88477 +2026-07-21 19:46:00+00:00,748.4500122070312,748.489990234375,748.4149780273438,748.4400024414062,98325 +2026-07-21 19:47:00+00:00,748.4400024414062,748.4400024414062,748.2449951171875,748.3599853515625,118349 +2026-07-21 19:48:00+00:00,748.3699951171875,748.52001953125,748.3499755859375,748.4401245117188,158533 +2026-07-21 19:49:00+00:00,748.4400024414062,748.6400146484375,748.4400024414062,748.60498046875,141367 +2026-07-21 19:50:00+00:00,748.5900268554688,748.7000122070312,748.2899780273438,748.3900146484375,450265 +2026-07-21 19:51:00+00:00,748.4000244140625,748.52001953125,748.3099975585938,748.389892578125,200475 +2026-07-21 19:52:00+00:00,748.3699951171875,748.530029296875,748.3699951171875,748.4400024414062,200678 +2026-07-21 19:53:00+00:00,748.469970703125,748.5599975585938,748.3900146484375,748.4400024414062,197838 +2026-07-21 19:54:00+00:00,748.4500122070312,748.52001953125,748.3499755859375,748.3800048828125,227921 +2026-07-21 19:55:00+00:00,748.3800048828125,748.5,748.25,748.2999877929688,229544 +2026-07-21 19:56:00+00:00,748.2999877929688,748.5800170898438,748.2899780273438,748.52001953125,243219 +2026-07-21 19:57:00+00:00,748.510009765625,748.5499877929688,748.4099731445312,748.4500122070312,202305 +2026-07-21 19:58:00+00:00,748.4600219726562,748.4600219726562,748.280029296875,748.3049926757812,452280 +2026-07-21 19:59:00+00:00,748.2899780273438,748.510009765625,748.0900268554688,748.3300170898438,616297 +2026-07-22 13:30:00+00:00,746.6199951171875,747.2000122070312,746.3699951171875,746.8900146484375,1313921 +2026-07-22 13:31:00+00:00,746.9099731445312,747.4799194335938,746.8499755859375,747.389892578125,123432 +2026-07-22 13:32:00+00:00,747.3499755859375,747.5700073242188,747.1599731445312,747.47998046875,114957 +2026-07-22 13:33:00+00:00,747.469970703125,747.5399780273438,747.1500244140625,747.2100219726562,80465 +2026-07-22 13:34:00+00:00,747.1900024414062,747.3400268554688,747.0401000976562,747.3150024414062,90421 +2026-07-22 13:35:00+00:00,747.3099975585938,747.3699951171875,747.02001953125,747.3400268554688,103556 +2026-07-22 13:36:00+00:00,747.3499755859375,747.489990234375,747.0800170898438,747.25,88479 +2026-07-22 13:37:00+00:00,747.2501220703125,747.4400024414062,747.2000122070312,747.4400024414062,65188 +2026-07-22 13:38:00+00:00,747.4199829101562,747.4249877929688,747.1099853515625,747.1599731445312,88535 +2026-07-22 13:39:00+00:00,747.1799926757812,747.469970703125,747.0399780273438,747.4000244140625,52514 +2026-07-22 13:40:00+00:00,747.4099731445312,747.4099731445312,747.0900268554688,747.169921875,76511 +2026-07-22 13:41:00+00:00,747.1599731445312,747.4600219726562,747.1400146484375,747.280029296875,110764 +2026-07-22 13:42:00+00:00,747.2899780273438,747.469970703125,747.1099853515625,747.1900024414062,93372 +2026-07-22 13:43:00+00:00,747.1900024414062,747.52001953125,747.1699829101562,747.510009765625,40446 +2026-07-22 13:44:00+00:00,747.5700073242188,747.7000122070312,747.469970703125,747.5700073242188,64940 +2026-07-22 13:45:00+00:00,747.5999755859375,748.0250244140625,747.5700073242188,747.9400024414062,89620 +2026-07-22 13:46:00+00:00,747.9400024414062,748.0599975585938,747.85498046875,747.9500122070312,96929 +2026-07-22 13:47:00+00:00,747.9500122070312,747.9600219726562,747.6900024414062,747.7100219726562,41400 +2026-07-22 13:48:00+00:00,747.7000122070312,747.9232788085938,747.6400146484375,747.8699951171875,77334 +2026-07-22 13:49:00+00:00,747.8699951171875,747.9500122070312,747.6799926757812,747.760009765625,81912 +2026-07-22 13:50:00+00:00,747.739990234375,747.7999877929688,747.4500122070312,747.469970703125,77100 +2026-07-22 13:51:00+00:00,747.4600219726562,747.7899780273438,747.39501953125,747.5399780273438,90278 +2026-07-22 13:52:00+00:00,747.530029296875,748.0700073242188,747.530029296875,747.8400268554688,152238 +2026-07-22 13:53:00+00:00,747.8499755859375,747.969970703125,747.77001953125,747.9199829101562,102133 +2026-07-22 13:54:00+00:00,747.9299926757812,748.1799926757812,747.9080200195312,748.1500244140625,77795 +2026-07-22 13:55:00+00:00,748.1300048828125,748.2100219726562,748.02001953125,748.1900024414062,74134 +2026-07-22 13:56:00+00:00,748.1799926757812,748.4500122070312,748.0700073242188,748.405029296875,111889 +2026-07-22 13:57:00+00:00,748.4094848632812,748.6900024414062,748.3200073242188,748.6400146484375,142030 +2026-07-22 13:58:00+00:00,748.6400146484375,748.6500244140625,748.4600219726562,748.5399780273438,73144 +2026-07-22 13:59:00+00:00,748.530029296875,748.7849731445312,748.4400024414062,748.780029296875,95145 +2026-07-22 14:00:00+00:00,748.77001953125,748.9400024414062,748.52001953125,748.8499755859375,133545 +2026-07-22 14:01:00+00:00,748.8499755859375,748.9000244140625,748.6699829101562,748.7999877929688,78539 +2026-07-22 14:02:00+00:00,748.7999877929688,748.8300170898438,748.6099853515625,748.8300170898438,74619 +2026-07-22 14:03:00+00:00,748.8400268554688,748.9650268554688,748.6300048828125,748.7100219726562,69639 +2026-07-22 14:04:00+00:00,748.6900024414062,748.969970703125,748.6900024414062,748.969970703125,36788 +2026-07-22 14:05:00+00:00,748.969970703125,749.3800048828125,748.9400024414062,749.3699951171875,143294 +2026-07-22 14:06:00+00:00,749.3599853515625,749.3800048828125,749.1099853515625,749.1099853515625,46856 +2026-07-22 14:07:00+00:00,749.1199951171875,749.1799926757812,748.7899780273438,748.8099975585938,70031 +2026-07-22 14:08:00+00:00,748.7918701171875,748.7999877929688,748.5700073242188,748.6500244140625,77653 +2026-07-22 14:09:00+00:00,748.6199951171875,748.7100219726562,748.510009765625,748.5401000976562,48356 +2026-07-22 14:10:00+00:00,748.5399780273438,748.6600952148438,748.4110107421875,748.6099853515625,109280 +2026-07-22 14:11:00+00:00,748.610107421875,748.7750244140625,748.610107421875,748.664794921875,56381 +2026-07-22 14:12:00+00:00,748.635009765625,748.7252807617188,748.5499877929688,748.5700073242188,25561 +2026-07-22 14:13:00+00:00,748.5700073242188,748.5700073242188,748.2150268554688,748.2150268554688,57351 +2026-07-22 14:14:00+00:00,748.22998046875,748.3599853515625,748.110107421875,748.239990234375,41374 +2026-07-22 14:15:00+00:00,748.260009765625,748.3200073242188,747.9099731445312,748.0599975585938,86711 +2026-07-22 14:16:00+00:00,748.0,748.1599731445312,747.8800048828125,747.9998779296875,44913 +2026-07-22 14:17:00+00:00,748.010009765625,748.0900268554688,747.7999877929688,748.0499877929688,33318 +2026-07-22 14:18:00+00:00,748.0399780273438,748.1300048828125,747.8499755859375,747.9099731445312,29873 +2026-07-22 14:19:00+00:00,747.9000244140625,748.1300048828125,747.77001953125,748.1300048828125,56943 +2026-07-22 14:20:00+00:00,748.1400146484375,748.4299926757812,748.0100708007812,748.3499755859375,76960 +2026-07-22 14:21:00+00:00,748.3400268554688,748.4099731445312,748.2000122070312,748.260009765625,36611 +2026-07-22 14:22:00+00:00,748.2100219726562,748.280029296875,747.8200073242188,747.8699951171875,79999 +2026-07-22 14:23:00+00:00,747.8699951171875,747.8699951171875,747.3800048828125,747.5599975585938,124182 +2026-07-22 14:24:00+00:00,747.5599975585938,747.6400146484375,747.4199829101562,747.5999755859375,72989 +2026-07-22 14:25:00+00:00,747.6300048828125,747.8099975585938,747.52001953125,747.5900268554688,61351 +2026-07-22 14:26:00+00:00,747.5900268554688,747.625,747.22998046875,747.2650756835938,48586 +2026-07-22 14:27:00+00:00,747.260009765625,747.39501953125,747.0900268554688,747.2849731445312,70329 +2026-07-22 14:28:00+00:00,747.27001953125,747.4400024414062,747.1400146484375,747.2750244140625,58009 +2026-07-22 14:29:00+00:00,747.280029296875,747.4299926757812,747.1400146484375,747.2999877929688,73236 +2026-07-22 14:30:00+00:00,747.2899780273438,747.489990234375,747.1699829101562,747.280029296875,152738 +2026-07-22 14:31:00+00:00,747.27001953125,747.4000244140625,747.1799926757812,747.39990234375,43293 +2026-07-22 14:32:00+00:00,747.4099731445312,747.7899780273438,747.3900146484375,747.7550048828125,97608 +2026-07-22 14:33:00+00:00,747.75,747.7899780273438,747.3499755859375,747.3499755859375,61644 +2026-07-22 14:34:00+00:00,747.3599853515625,747.4299926757812,747.2100219726562,747.239990234375,50573 +2026-07-22 14:35:00+00:00,747.260009765625,747.3300170898438,747.1026000976562,747.239990234375,81872 +2026-07-22 14:36:00+00:00,747.2393188476562,747.4000244140625,747.1799926757812,747.3400268554688,54047 +2026-07-22 14:37:00+00:00,747.3499755859375,747.4500122070312,747.2100219726562,747.2100219726562,169369 +2026-07-22 14:38:00+00:00,747.22998046875,747.344970703125,747.1099853515625,747.2899780273438,37791 +2026-07-22 14:39:00+00:00,747.3099975585938,747.3200073242188,747.05078125,747.3099975585938,53396 +2026-07-22 14:40:00+00:00,747.2999877929688,747.4500122070312,747.1912841796875,747.2899780273438,40373 +2026-07-22 14:41:00+00:00,747.25,747.2949829101562,746.904296875,746.9500122070312,88128 +2026-07-22 14:42:00+00:00,746.9600219726562,747.0599975585938,746.760009765625,746.989990234375,67767 +2026-07-22 14:43:00+00:00,746.989990234375,746.989990234375,746.81201171875,746.9063110351562,22671 +2026-07-22 14:44:00+00:00,746.9000244140625,746.9500122070312,746.780029296875,746.780029296875,31672 +2026-07-22 14:45:00+00:00,746.7899780273438,747.125,746.6799926757812,747.0499877929688,76526 +2026-07-22 14:46:00+00:00,747.0850219726562,747.4500122070312,747.030029296875,747.2899780273438,128213 +2026-07-22 14:47:00+00:00,747.3099975585938,747.3699951171875,747.1199951171875,747.1900024414062,30144 +2026-07-22 14:48:00+00:00,747.1900024414062,747.469970703125,747.1599731445312,747.280029296875,35306 +2026-07-22 14:49:00+00:00,747.2999877929688,747.3900146484375,747.0599975585938,747.3699951171875,27497 +2026-07-22 14:50:00+00:00,747.3800048828125,747.405029296875,747.2100219726562,747.340087890625,60842 +2026-07-22 14:51:00+00:00,747.3400268554688,747.4199829101562,747.0900268554688,747.4099731445312,104381 +2026-07-22 14:52:00+00:00,747.4149780273438,747.4650268554688,747.1599731445312,747.219970703125,69955 +2026-07-22 14:53:00+00:00,747.2000122070312,747.52001953125,747.1799926757812,747.3200073242188,33647 +2026-07-22 14:54:00+00:00,747.3179931640625,747.6500244140625,747.3179931640625,747.4199829101562,80092 +2026-07-22 14:55:00+00:00,747.3900146484375,747.3900146484375,747.1500244140625,747.3300170898438,48019 +2026-07-22 14:56:00+00:00,747.3099975585938,747.5130004882812,747.27001953125,747.4000244140625,55392 +2026-07-22 14:57:00+00:00,747.4000244140625,747.72998046875,747.4000244140625,747.7100219726562,35168 +2026-07-22 14:58:00+00:00,747.7100219726562,747.9600219726562,747.7100219726562,747.9500122070312,100437 +2026-07-22 14:59:00+00:00,747.9500122070312,747.9769897460938,747.8004760742188,747.9349975585938,41414 +2026-07-22 15:00:00+00:00,747.9299926757812,748.1599731445312,747.9299926757812,748.1300048828125,60335 +2026-07-22 15:01:00+00:00,748.1199951171875,748.135009765625,747.9400024414062,747.9450073242188,52808 +2026-07-22 15:02:00+00:00,747.9299926757812,748.1099853515625,747.8900146484375,748.094970703125,37541 +2026-07-22 15:03:00+00:00,748.0800170898438,748.25,748.0800170898438,748.1900024414062,76673 +2026-07-22 15:04:00+00:00,748.1900024414062,748.4400024414062,748.1799926757812,748.3049926757812,50581 +2026-07-22 15:05:00+00:00,748.2999877929688,748.4500122070312,748.2000122070312,748.4249877929688,75041 +2026-07-22 15:06:00+00:00,748.4199829101562,748.5900268554688,748.3800048828125,748.5,56304 +2026-07-22 15:07:00+00:00,748.489990234375,748.6199951171875,748.4600219726562,748.6099853515625,94992 +2026-07-22 15:08:00+00:00,748.5900268554688,748.6799926757812,748.47998046875,748.6699829101562,69619 +2026-07-22 15:09:00+00:00,748.6699829101562,748.75,748.5800170898438,748.6099853515625,37985 +2026-07-22 15:10:00+00:00,748.6099853515625,748.969970703125,748.5900268554688,748.9699096679688,75340 +2026-07-22 15:11:00+00:00,748.969970703125,749.039306640625,748.75,748.780029296875,70713 +2026-07-22 15:12:00+00:00,748.7899780273438,748.9199829101562,748.7100219726562,748.9199829101562,40814 +2026-07-22 15:13:00+00:00,748.9099731445312,748.9500122070312,748.7899780273438,748.8499755859375,33144 +2026-07-22 15:14:00+00:00,748.844970703125,748.89501953125,748.760009765625,748.875,55833 +2026-07-22 15:15:00+00:00,748.8800048828125,748.9849853515625,748.8150024414062,748.89501953125,82798 +2026-07-22 15:16:00+00:00,748.8900146484375,748.9199829101562,748.77001953125,748.8900146484375,44624 +2026-07-22 15:17:00+00:00,748.8800048828125,748.9099731445312,748.7150268554688,748.7150268554688,36073 +2026-07-22 15:18:00+00:00,748.7100219726562,748.7100219726562,748.52001953125,748.5499877929688,71670 +2026-07-22 15:19:00+00:00,748.5499877929688,748.8599853515625,748.5499877929688,748.8599853515625,146883 +2026-07-22 15:20:00+00:00,748.8699951171875,749.1199951171875,748.8300170898438,749.119873046875,44122 +2026-07-22 15:21:00+00:00,749.1199951171875,749.1699829101562,748.9500122070312,748.9600219726562,23797 +2026-07-22 15:22:00+00:00,748.9550170898438,749.0399780273438,748.890380859375,749.0399780273438,22770 +2026-07-22 15:23:00+00:00,749.0349731445312,749.0900268554688,748.9299926757812,749.0900268554688,28382 +2026-07-22 15:24:00+00:00,749.0999755859375,749.4000244140625,749.0999755859375,749.3099975585938,58301 +2026-07-22 15:25:00+00:00,749.3200073242188,749.5,749.2606811523438,749.5,70722 +2026-07-22 15:26:00+00:00,749.469970703125,749.6099853515625,749.469970703125,749.5399780273438,36916 +2026-07-22 15:27:00+00:00,749.5349731445312,749.6799926757812,749.5,749.590087890625,55258 +2026-07-22 15:28:00+00:00,749.594970703125,749.6400146484375,749.5599975585938,749.6199951171875,62446 +2026-07-22 15:29:00+00:00,749.5999755859375,749.6699829101562,749.385009765625,749.4099731445312,48666 +2026-07-22 15:30:00+00:00,749.4199829101562,749.510009765625,749.2650146484375,749.5,73938 +2026-07-22 15:31:00+00:00,749.4799194335938,749.5,749.3699951171875,749.3900146484375,39050 +2026-07-22 15:32:00+00:00,749.3900146484375,749.4000854492188,749.25,749.2899780273438,36592 +2026-07-22 15:33:00+00:00,749.2949829101562,749.3200073242188,749.0900268554688,749.0900268554688,54429 +2026-07-22 15:34:00+00:00,749.0900268554688,749.0999755859375,748.9199829101562,748.9600219726562,54355 +2026-07-22 15:35:00+00:00,748.9849853515625,749.1400146484375,748.97998046875,749.0999755859375,25986 +2026-07-22 15:36:00+00:00,749.1099853515625,749.1199951171875,748.9400024414062,749.0700073242188,69591 +2026-07-22 15:37:00+00:00,749.0750122070312,749.0800170898438,748.8200073242188,749.02001953125,33346 +2026-07-22 15:38:00+00:00,749.030029296875,749.0449829101562,748.8150024414062,748.9199829101562,39351 +2026-07-22 15:39:00+00:00,748.9149780273438,748.9199829101562,748.7506713867188,748.9149780273438,16614 +2026-07-22 15:40:00+00:00,748.9149780273438,749.1900024414062,748.8499755859375,749.1699829101562,31850 +2026-07-22 15:41:00+00:00,749.1799926757812,749.2100219726562,749.010009765625,749.0999755859375,23539 +2026-07-22 15:42:00+00:00,749.1400146484375,749.1900024414062,749.010009765625,749.010009765625,20721 +2026-07-22 15:43:00+00:00,749.030029296875,749.0449829101562,748.8599853515625,748.9099731445312,26822 +2026-07-22 15:44:00+00:00,748.9099731445312,749.010009765625,748.9099731445312,749.0,20464 +2026-07-22 15:45:00+00:00,749.02001953125,749.27001953125,749.02001953125,749.25,38243 +2026-07-22 15:46:00+00:00,749.25,749.3300170898438,749.0800170898438,749.0900268554688,24523 +2026-07-22 15:47:00+00:00,749.0900268554688,749.2587890625,749.0900268554688,749.25,147936 +2026-07-22 15:48:00+00:00,749.22998046875,749.3599853515625,749.2100219726562,749.3099975585938,16799 +2026-07-22 15:49:00+00:00,749.3200073242188,749.3800048828125,749.219970703125,749.3800048828125,24281 +2026-07-22 15:50:00+00:00,749.3800048828125,749.4299926757812,749.3599853515625,749.3800048828125,27219 +2026-07-22 15:51:00+00:00,749.3800048828125,749.5,749.3699951171875,749.4500122070312,42318 +2026-07-22 15:52:00+00:00,749.4500122070312,749.5900268554688,749.4500122070312,749.5599975585938,39112 +2026-07-22 15:53:00+00:00,749.5449829101562,749.5750122070312,749.2999877929688,749.3099975585938,24833 +2026-07-22 15:54:00+00:00,749.3001098632812,749.35498046875,749.22998046875,749.280029296875,20804 +2026-07-22 15:55:00+00:00,749.260009765625,749.385009765625,749.1799926757812,749.385009765625,16703 +2026-07-22 15:56:00+00:00,749.3699951171875,749.4099731445312,749.3200073242188,749.3715209960938,22103 +2026-07-22 15:57:00+00:00,749.3800048828125,749.4199829101562,749.25,749.3900146484375,31232 +2026-07-22 15:58:00+00:00,749.4000244140625,749.5599975585938,749.4000244140625,749.5499877929688,27608 +2026-07-22 15:59:00+00:00,749.5499877929688,749.7899780273438,749.5100708007812,749.760009765625,59884 +2026-07-22 16:00:00+00:00,749.760009765625,749.8200073242188,749.6799926757812,749.7111206054688,47673 +2026-07-22 16:01:00+00:00,749.7000122070312,749.72998046875,749.530029296875,749.5700073242188,46340 +2026-07-22 16:02:00+00:00,749.5800170898438,749.6400146484375,749.510009765625,749.6218872070312,32112 +2026-07-22 16:03:00+00:00,749.614990234375,749.6300048828125,749.489990234375,749.6199951171875,32855 +2026-07-22 16:04:00+00:00,749.6099853515625,749.7000122070312,749.5599975585938,749.6849975585938,32800 +2026-07-22 16:05:00+00:00,749.6900024414062,749.7999877929688,749.5399780273438,749.760009765625,51314 +2026-07-22 16:06:00+00:00,749.7899780273438,749.9099731445312,749.77001953125,749.8099975585938,57052 +2026-07-22 16:07:00+00:00,749.8099975585938,749.8699951171875,749.75,749.8400268554688,29329 +2026-07-22 16:08:00+00:00,749.8499145507812,749.8499145507812,749.77001953125,749.780029296875,42441 +2026-07-22 16:09:00+00:00,749.780029296875,749.8099975585938,749.719970703125,749.7449951171875,49940 +2026-07-22 16:10:00+00:00,749.739990234375,749.75,749.6699829101562,749.7100219726562,60016 +2026-07-22 16:11:00+00:00,749.7100219726562,749.7899780273438,749.6099853515625,749.6099853515625,29777 +2026-07-22 16:12:00+00:00,749.6099853515625,749.72998046875,749.5999755859375,749.6599731445312,37926 +2026-07-22 16:13:00+00:00,749.6699829101562,749.719970703125,749.6500244140625,749.6900024414062,40101 +2026-07-22 16:14:00+00:00,749.6900024414062,749.780029296875,749.6799926757812,749.7100219726562,32533 +2026-07-22 16:15:00+00:00,749.7100219726562,749.8499755859375,749.6799926757812,749.739990234375,31928 +2026-07-22 16:16:00+00:00,749.719970703125,749.7949829101562,749.6799926757812,749.6900024414062,24803 +2026-07-22 16:17:00+00:00,749.7000122070312,749.8200073242188,749.6799926757812,749.739990234375,48793 +2026-07-22 16:18:00+00:00,749.72998046875,750.0,749.719970703125,749.9600219726562,39237 +2026-07-22 16:19:00+00:00,749.969970703125,750.02001953125,749.9500122070312,749.9749755859375,50590 +2026-07-22 16:20:00+00:00,749.969970703125,749.969970703125,749.780029296875,749.8699951171875,46716 +2026-07-22 16:21:00+00:00,749.8499755859375,749.9099731445312,749.7899780273438,749.8800048828125,42320 +2026-07-22 16:22:00+00:00,749.8709716796875,749.9500122070312,749.7999877929688,749.844970703125,30240 +2026-07-22 16:23:00+00:00,749.8499755859375,749.8900146484375,749.7899780273438,749.7949829101562,42924 +2026-07-22 16:24:00+00:00,749.7999877929688,749.8900146484375,749.7899780273438,749.8699951171875,72635 +2026-07-22 16:25:00+00:00,749.8699951171875,749.9400024414062,749.7999877929688,749.844970703125,55985 +2026-07-22 16:26:00+00:00,749.844970703125,749.8499755859375,749.6799926757812,749.7999877929688,47148 +2026-07-22 16:27:00+00:00,749.8099975585938,749.8909301757812,749.75,749.77001953125,39549 +2026-07-22 16:28:00+00:00,749.7650146484375,749.8200073242188,749.7000122070312,749.8200073242188,80306 +2026-07-22 16:29:00+00:00,749.8300170898438,749.9000244140625,749.7999877929688,749.8499755859375,19647 +2026-07-22 16:30:00+00:00,749.8599853515625,749.860107421875,749.75,749.8200073242188,22754 +2026-07-22 16:31:00+00:00,749.8123168945312,749.9199829101562,749.7999877929688,749.8200073242188,39004 +2026-07-22 16:32:00+00:00,749.8300170898438,749.864990234375,749.7899780273438,749.85498046875,33713 +2026-07-22 16:33:00+00:00,749.8599853515625,750.0,749.8599853515625,749.97998046875,23383 +2026-07-22 16:34:00+00:00,749.989990234375,750.0048217773438,749.8900146484375,749.9299926757812,59902 +2026-07-22 16:35:00+00:00,749.9199829101562,749.9600219726562,749.8499755859375,749.8599853515625,26248 +2026-07-22 16:36:00+00:00,749.8499755859375,749.9099731445312,749.7999877929688,749.8099975585938,25424 +2026-07-22 16:37:00+00:00,749.8099975585938,749.89501953125,749.7899780273438,749.8300170898438,26251 +2026-07-22 16:38:00+00:00,749.8300170898438,749.9500122070312,749.8300170898438,749.9199829101562,21085 +2026-07-22 16:39:00+00:00,749.9299926757812,749.9400024414062,749.8200073242188,749.8699951171875,214840 +2026-07-22 16:40:00+00:00,749.8900146484375,749.8900146484375,749.739990234375,749.75,20442 +2026-07-22 16:41:00+00:00,749.77001953125,749.8150024414062,749.719970703125,749.780029296875,30002 +2026-07-22 16:42:00+00:00,749.760009765625,749.7999877929688,749.6799926757812,749.7000122070312,33466 +2026-07-22 16:43:00+00:00,749.7150268554688,749.7498779296875,749.6400146484375,749.6978149414062,59895 +2026-07-22 16:44:00+00:00,749.6900024414062,749.760009765625,749.6900024414062,749.7550048828125,35728 +2026-07-22 16:45:00+00:00,749.760009765625,749.9000244140625,749.7000122070312,749.7100219726562,45354 +2026-07-22 16:46:00+00:00,749.7139892578125,749.75,749.5499877929688,749.5999755859375,33360 +2026-07-22 16:47:00+00:00,749.5900268554688,749.5900268554688,749.52001953125,749.5499877929688,43134 +2026-07-22 16:48:00+00:00,749.5599975585938,749.639892578125,749.530029296875,749.6300048828125,28405 +2026-07-22 16:49:00+00:00,749.6400146484375,749.6699829101562,749.5800170898438,749.60498046875,29091 +2026-07-22 16:50:00+00:00,749.6099853515625,749.6300048828125,749.530029296875,749.6300048828125,33271 +2026-07-22 16:51:00+00:00,749.6320190429688,749.6799926757812,749.47998046875,749.52001953125,29467 +2026-07-22 16:52:00+00:00,749.5289916992188,749.6400146484375,749.489990234375,749.6099853515625,23880 +2026-07-22 16:53:00+00:00,749.6199951171875,749.6199951171875,749.52001953125,749.5499877929688,21674 +2026-07-22 16:54:00+00:00,749.5700073242188,749.5999755859375,749.52001953125,749.52001953125,23994 +2026-07-22 16:55:00+00:00,749.510009765625,749.8400268554688,749.5,749.8200073242188,34498 +2026-07-22 16:56:00+00:00,749.8200073242188,749.8499755859375,749.780029296875,749.8200073242188,20345 +2026-07-22 16:57:00+00:00,749.8250122070312,749.9500122070312,749.8250122070312,749.89501953125,26640 +2026-07-22 16:58:00+00:00,749.8800048828125,749.9249877929688,749.8300170898438,749.8800048828125,26128 +2026-07-22 16:59:00+00:00,749.8900146484375,749.8900146484375,749.77001953125,749.8300170898438,38828 +2026-07-22 17:00:00+00:00,749.8350219726562,749.9600219726562,749.72998046875,749.9099731445312,24861 +2026-07-22 17:01:00+00:00,749.9099731445312,749.9299926757812,749.8099975585938,749.8200073242188,29402 +2026-07-22 17:02:00+00:00,749.8300170898438,749.8300170898438,749.6500244140625,749.6599731445312,66835 +2026-07-22 17:03:00+00:00,749.6599731445312,749.6900024414062,749.489990234375,749.5599975585938,51367 +2026-07-22 17:04:00+00:00,749.5499877929688,749.5599975585938,749.3699951171875,749.5,61230 +2026-07-22 17:05:00+00:00,749.5,749.5900268554688,749.47998046875,749.5516967773438,44328 +2026-07-22 17:06:00+00:00,749.5650024414062,749.6099853515625,749.47998046875,749.5499877929688,33455 +2026-07-22 17:07:00+00:00,749.5800170898438,749.75,749.5499877929688,749.75,32782 +2026-07-22 17:08:00+00:00,749.739990234375,749.739990234375,749.6099853515625,749.6500244140625,445937 +2026-07-22 17:09:00+00:00,749.6500244140625,749.6699829101562,749.5499877929688,749.6099853515625,23805 +2026-07-22 17:10:00+00:00,749.5999755859375,749.6199951171875,749.47998046875,749.5399780273438,30088 +2026-07-22 17:11:00+00:00,749.5599975585938,749.5599975585938,749.469970703125,749.530029296875,222597 +2026-07-22 17:12:00+00:00,749.5399780273438,749.5599975585938,749.4600219726562,749.4949951171875,25869 +2026-07-22 17:13:00+00:00,749.4949951171875,749.4949951171875,749.4000244140625,749.4000244140625,29378 +2026-07-22 17:14:00+00:00,749.4000244140625,749.4000244140625,749.25,749.3200073242188,53856 +2026-07-22 17:15:00+00:00,749.3099975585938,749.3400268554688,749.1900024414062,749.2550048828125,40798 +2026-07-22 17:16:00+00:00,749.25,749.3262939453125,749.2100219726562,749.280029296875,380592 +2026-07-22 17:17:00+00:00,749.27001953125,749.4000244140625,749.25,749.3477172851562,25931 +2026-07-22 17:18:00+00:00,749.3400268554688,749.4299926757812,749.2899780273438,749.3200073242188,23517 +2026-07-22 17:19:00+00:00,749.2999877929688,749.3499755859375,749.239990234375,749.25,31774 +2026-07-22 17:20:00+00:00,749.239990234375,749.260009765625,749.1400146484375,749.1799926757812,37069 +2026-07-22 17:21:00+00:00,749.1599731445312,749.260009765625,749.0900268554688,749.0900268554688,38980 +2026-07-22 17:22:00+00:00,749.0900268554688,749.1300048828125,748.9500122070312,749.0349731445312,49276 +2026-07-22 17:23:00+00:00,749.0399780273438,749.1400146484375,749.030029296875,749.0999755859375,41246 +2026-07-22 17:24:00+00:00,749.119873046875,749.2000122070312,749.0700073242188,749.1749877929688,29372 +2026-07-22 17:25:00+00:00,749.1699829101562,749.1699829101562,749.0,749.030029296875,31428 +2026-07-22 17:26:00+00:00,749.02001953125,749.0900268554688,749.0062866210938,749.0800170898438,34127 +2026-07-22 17:27:00+00:00,749.0599975585938,749.1298828125,749.0499877929688,749.1298828125,23476 +2026-07-22 17:28:00+00:00,749.1199951171875,749.3900146484375,749.0599975585938,749.2000122070312,77519 +2026-07-22 17:29:00+00:00,749.1900024414062,749.2449951171875,749.0444946289062,749.0444946289062,30440 +2026-07-22 17:30:00+00:00,749.0499877929688,749.1900024414062,749.0399780273438,749.1699829101562,34380 +2026-07-22 17:31:00+00:00,749.1599731445312,749.2899780273438,749.1599731445312,749.2100219726562,37188 +2026-07-22 17:32:00+00:00,749.2100219726562,749.239990234375,749.0250244140625,749.0900268554688,32816 +2026-07-22 17:33:00+00:00,749.0999755859375,749.1199951171875,748.97998046875,749.0399780273438,78845 +2026-07-22 17:34:00+00:00,749.030029296875,749.0399780273438,748.8599853515625,748.8800048828125,61532 +2026-07-22 17:35:00+00:00,748.8800048828125,749.030029296875,748.8499755859375,748.969970703125,33581 +2026-07-22 17:36:00+00:00,748.9450073242188,749.0800170898438,748.9400024414062,749.0700073242188,33267 +2026-07-22 17:37:00+00:00,749.0700073242188,749.2899780273438,749.0499877929688,749.2000122070312,49944 +2026-07-22 17:38:00+00:00,749.2050170898438,749.2899780273438,749.1199951171875,749.1649780273438,27342 +2026-07-22 17:39:00+00:00,749.155029296875,749.4099731445312,749.1400146484375,749.3599853515625,66266 +2026-07-22 17:40:00+00:00,749.3599853515625,749.3699951171875,749.1599731445312,749.1799926757812,29673 +2026-07-22 17:41:00+00:00,749.1799926757812,749.2100219726562,749.0900268554688,749.1599731445312,30018 +2026-07-22 17:42:00+00:00,749.1500244140625,749.25,749.1500244140625,749.2000122070312,24893 +2026-07-22 17:43:00+00:00,749.1799926757812,749.2100219726562,749.0499877929688,749.0900268554688,76225 +2026-07-22 17:44:00+00:00,749.0900268554688,749.1699829101562,749.0900268554688,749.1199951171875,14742 +2026-07-22 17:45:00+00:00,749.1300048828125,749.1599731445312,749.0800170898438,749.1400146484375,40446 +2026-07-22 17:46:00+00:00,749.1199951171875,749.22998046875,749.0700073242188,749.1699829101562,19609 +2026-07-22 17:47:00+00:00,749.1699829101562,749.1699829101562,749.02001953125,749.0599975585938,19297 +2026-07-22 17:48:00+00:00,749.0599975585938,749.0800170898438,749.0150146484375,749.0449829101562,21675 +2026-07-22 17:49:00+00:00,749.0499877929688,749.1298828125,749.030029296875,749.0499877929688,25137 +2026-07-22 17:50:00+00:00,749.0399780273438,749.0900268554688,748.97998046875,749.0549926757812,30964 +2026-07-22 17:51:00+00:00,749.0599975585938,749.1500244140625,749.0599975585938,749.1400146484375,20201 +2026-07-22 17:52:00+00:00,749.1384887695312,749.1384887695312,748.9600219726562,748.989990234375,22974 +2026-07-22 17:53:00+00:00,748.97998046875,749.010009765625,748.8699951171875,748.8699951171875,44460 +2026-07-22 17:54:00+00:00,748.8599853515625,748.8699951171875,748.6920166015625,748.7100219726562,47979 +2026-07-22 17:55:00+00:00,748.7000122070312,748.7000122070312,748.3900146484375,748.6599731445312,88867 +2026-07-22 17:56:00+00:00,748.6799926757812,748.6900024414062,748.5599975585938,748.5900268554688,25509 +2026-07-22 17:57:00+00:00,748.5900268554688,748.6900024414062,748.530029296875,748.5599975585938,449955 +2026-07-22 17:58:00+00:00,748.5499877929688,748.6400146484375,748.510009765625,748.5399780273438,53072 +2026-07-22 17:59:00+00:00,748.530029296875,748.5399780273438,748.469970703125,748.52001953125,28217 +2026-07-22 18:00:00+00:00,748.5150146484375,748.7100219726562,748.5050048828125,748.6699829101562,68821 +2026-07-22 18:01:00+00:00,748.6500244140625,748.6663208007812,748.4371948242188,748.47998046875,61174 +2026-07-22 18:02:00+00:00,748.489990234375,748.5150146484375,748.22998046875,748.3311767578125,81560 +2026-07-22 18:03:00+00:00,748.3300170898438,748.3900146484375,748.2349853515625,748.2750244140625,40794 +2026-07-22 18:04:00+00:00,748.2999877929688,748.4000244140625,748.2000122070312,748.3800048828125,45570 +2026-07-22 18:05:00+00:00,748.3800048828125,748.5399780273438,748.27001953125,748.3800048828125,144446 +2026-07-22 18:06:00+00:00,748.3800048828125,748.5399780273438,748.3200073242188,748.4500122070312,49260 +2026-07-22 18:07:00+00:00,748.4500122070312,748.6799926757812,748.4199829101562,748.6624755859375,29407 +2026-07-22 18:08:00+00:00,748.6599731445312,748.6900024414062,748.489990234375,748.489990234375,39938 +2026-07-22 18:09:00+00:00,748.489990234375,748.489990234375,748.3099975585938,748.3289794921875,32018 +2026-07-22 18:10:00+00:00,748.2999877929688,748.3699951171875,748.1799926757812,748.3599853515625,32486 +2026-07-22 18:11:00+00:00,748.3599853515625,748.4000244140625,748.239990234375,748.239990234375,17127 +2026-07-22 18:12:00+00:00,748.22998046875,748.25,748.0700073242188,748.0999755859375,56575 +2026-07-22 18:13:00+00:00,748.0999755859375,748.2100219726562,748.010009765625,748.0910034179688,83956 +2026-07-22 18:14:00+00:00,748.0800170898438,748.1500244140625,748.0399780273438,748.0399780273438,42063 +2026-07-22 18:15:00+00:00,748.030029296875,748.1199951171875,748.0250244140625,748.0599975585938,41017 +2026-07-22 18:16:00+00:00,748.0599975585938,748.2999877929688,748.0399780273438,748.1799926757812,28393 +2026-07-22 18:17:00+00:00,748.1832885742188,748.22998046875,748.0999755859375,748.1699829101562,21538 +2026-07-22 18:18:00+00:00,748.1900024414062,748.3499755859375,748.1799926757812,748.3499755859375,62733 +2026-07-22 18:19:00+00:00,748.3400268554688,748.3900146484375,748.1699829101562,748.22998046875,49901 +2026-07-22 18:20:00+00:00,748.25,748.4185791015625,748.1599731445312,748.4185791015625,30368 +2026-07-22 18:21:00+00:00,748.4199829101562,748.5900268554688,748.3599853515625,748.3599853515625,73449 +2026-07-22 18:22:00+00:00,748.3599853515625,748.3599853515625,748.280029296875,748.3049926757812,29916 +2026-07-22 18:23:00+00:00,748.3049926757812,748.3200073242188,748.1699829101562,748.2000122070312,69674 +2026-07-22 18:24:00+00:00,748.2000122070312,748.3699951171875,748.1900024414062,748.2225952148438,35239 +2026-07-22 18:25:00+00:00,748.22998046875,748.2800903320312,748.2100219726562,748.2650146484375,27342 +2026-07-22 18:26:00+00:00,748.280029296875,748.3300170898438,748.2449951171875,748.2999877929688,21676 +2026-07-22 18:27:00+00:00,748.2899780273438,748.3599853515625,748.219970703125,748.2999877929688,36112 +2026-07-22 18:28:00+00:00,748.2999877929688,748.5499877929688,748.280029296875,748.489990234375,47645 +2026-07-22 18:29:00+00:00,748.510009765625,748.5499877929688,748.4400024414062,748.489990234375,56010 +2026-07-22 18:30:00+00:00,748.489990234375,748.489990234375,748.260009765625,748.3300170898438,71975 +2026-07-22 18:31:00+00:00,748.3400268554688,748.3499755859375,748.1099853515625,748.14501953125,64049 +2026-07-22 18:32:00+00:00,748.1400146484375,748.1699829101562,748.0499877929688,748.0775146484375,77410 +2026-07-22 18:33:00+00:00,748.0900268554688,748.25,748.0899047851562,748.2100219726562,31971 +2026-07-22 18:34:00+00:00,748.1900024414062,748.25,748.1599731445312,748.2000122070312,30955 +2026-07-22 18:35:00+00:00,748.1900024414062,748.4500122070312,748.1599731445312,748.4500122070312,41449 +2026-07-22 18:36:00+00:00,748.447509765625,748.469970703125,748.3410034179688,748.4199829101562,33773 +2026-07-22 18:37:00+00:00,748.4299926757812,748.4400024414062,748.3400268554688,748.3599853515625,26592 +2026-07-22 18:38:00+00:00,748.3800048828125,748.4600219726562,748.3499755859375,748.3800048828125,35096 +2026-07-22 18:39:00+00:00,748.3599853515625,748.4149780273438,748.260009765625,748.4099731445312,51614 +2026-07-22 18:40:00+00:00,748.4299926757812,748.4500122070312,748.2501220703125,748.2899780273438,38240 +2026-07-22 18:41:00+00:00,748.2899780273438,748.4099731445312,748.22998046875,748.4099731445312,35014 +2026-07-22 18:42:00+00:00,748.4199829101562,748.469970703125,748.2916259765625,748.2916259765625,45056 +2026-07-22 18:43:00+00:00,748.3099975585938,748.3400268554688,748.2899780273438,748.3200073242188,14161 +2026-07-22 18:44:00+00:00,748.3400268554688,748.3599853515625,748.2901000976562,748.2901000976562,155750 +2026-07-22 18:45:00+00:00,748.2899780273438,748.5999755859375,748.280029296875,748.5399780273438,44742 +2026-07-22 18:46:00+00:00,748.5399780273438,748.5499877929688,748.4099731445312,748.4949951171875,24118 +2026-07-22 18:47:00+00:00,748.489990234375,748.489990234375,748.340087890625,748.3800048828125,19516 +2026-07-22 18:48:00+00:00,748.3699951171875,748.489990234375,748.3300170898438,748.4000244140625,36034 +2026-07-22 18:49:00+00:00,748.4000244140625,748.4099731445312,748.2048950195312,748.2224731445312,91668 +2026-07-22 18:50:00+00:00,748.219970703125,748.22998046875,748.1099853515625,748.1699829101562,48995 +2026-07-22 18:51:00+00:00,748.1599731445312,748.3400268554688,748.1599731445312,748.239990234375,42359 +2026-07-22 18:52:00+00:00,748.2427978515625,748.3099975585938,748.1699829101562,748.22998046875,40221 +2026-07-22 18:53:00+00:00,748.22998046875,748.3800048828125,748.2100219726562,748.3800048828125,42051 +2026-07-22 18:54:00+00:00,748.357177734375,748.5798950195312,748.3300170898438,748.52001953125,71950 +2026-07-22 18:55:00+00:00,748.5,748.5900268554688,748.47998046875,748.5599975585938,44569 +2026-07-22 18:56:00+00:00,748.5499877929688,748.5700073242188,748.37890625,748.4525146484375,36610 +2026-07-22 18:57:00+00:00,748.4500122070312,748.510009765625,748.4299926757812,748.5087890625,18187 +2026-07-22 18:58:00+00:00,748.5150146484375,748.5399780273438,748.4600219726562,748.4949951171875,61572 +2026-07-22 18:59:00+00:00,748.489990234375,748.5499877929688,748.4099731445312,748.4099731445312,22598 +2026-07-22 19:00:00+00:00,748.4400024414062,748.4600219726562,748.3599853515625,748.3699951171875,45797 +2026-07-22 19:01:00+00:00,748.3800048828125,748.4600219726562,748.1500244140625,748.2349853515625,61445 +2026-07-22 19:02:00+00:00,748.22998046875,748.260009765625,748.1799926757812,748.2028198242188,35409 +2026-07-22 19:03:00+00:00,748.1799926757812,748.3400268554688,748.1699829101562,748.3204956054688,35646 +2026-07-22 19:04:00+00:00,748.3200073242188,748.4500122070312,748.239990234375,748.239990234375,29984 +2026-07-22 19:05:00+00:00,748.2449951171875,748.3099975585938,748.2000122070312,748.2100219726562,31943 +2026-07-22 19:06:00+00:00,748.22998046875,748.3099975585938,748.1500244140625,748.3099975585938,27761 +2026-07-22 19:07:00+00:00,748.3099975585938,748.3499755859375,748.1900024414062,748.2000122070312,45561 +2026-07-22 19:08:00+00:00,748.219970703125,748.3400268554688,748.2100219726562,748.27001953125,31922 +2026-07-22 19:09:00+00:00,748.27001953125,748.280029296875,748.1900024414062,748.1900024414062,25413 +2026-07-22 19:10:00+00:00,748.2000122070312,748.239990234375,748.1199951171875,748.1599731445312,36453 +2026-07-22 19:11:00+00:00,748.1559448242188,748.1799926757812,748.02001953125,748.0700073242188,43602 +2026-07-22 19:12:00+00:00,748.0800170898438,748.0800170898438,747.8699951171875,747.9199829101562,48592 +2026-07-22 19:13:00+00:00,747.9000244140625,747.9901123046875,747.89501953125,747.9299926757812,42747 +2026-07-22 19:14:00+00:00,747.9500122070312,747.9600219726562,747.8300170898438,747.8900146484375,77129 +2026-07-22 19:15:00+00:00,747.9000244140625,748.0,747.8300170898438,747.9550170898438,41980 +2026-07-22 19:16:00+00:00,747.9600219726562,748.1599731445312,747.9400024414062,748.1199951171875,42115 +2026-07-22 19:17:00+00:00,748.1099853515625,748.1300048828125,748.010009765625,748.0800170898438,31033 +2026-07-22 19:18:00+00:00,748.0700073242188,748.1400146484375,748.02001953125,748.1099853515625,32149 +2026-07-22 19:19:00+00:00,748.114990234375,748.1900024414062,748.0900268554688,748.1099853515625,41922 +2026-07-22 19:20:00+00:00,748.1099853515625,748.1199951171875,748.0050048828125,748.02001953125,42001 +2026-07-22 19:21:00+00:00,748.010009765625,748.0399780273438,747.7999877929688,747.8900146484375,45025 +2026-07-22 19:22:00+00:00,747.89501953125,748.02001953125,747.8400268554688,747.97998046875,31902 +2026-07-22 19:23:00+00:00,747.97998046875,748.02001953125,747.9199829101562,747.9600219726562,54211 +2026-07-22 19:24:00+00:00,747.9550170898438,747.99951171875,747.8499755859375,747.8499755859375,32497 +2026-07-22 19:25:00+00:00,747.8499755859375,747.8900146484375,747.72998046875,747.77001953125,113626 +2026-07-22 19:26:00+00:00,747.77001953125,747.8300170898438,747.6599731445312,747.7000122070312,75595 +2026-07-22 19:27:00+00:00,747.6900024414062,747.9000244140625,747.6500244140625,747.8699951171875,80073 +2026-07-22 19:28:00+00:00,747.8599853515625,748.0999755859375,747.8599853515625,748.0549926757812,88398 +2026-07-22 19:29:00+00:00,748.0499877929688,748.0700073242188,747.989990234375,748.0,57402 +2026-07-22 19:30:00+00:00,748.0,748.0,747.75,747.760009765625,88984 +2026-07-22 19:31:00+00:00,747.77001953125,747.8599853515625,747.739990234375,747.7899780273438,104962 +2026-07-22 19:32:00+00:00,747.780029296875,747.8800048828125,747.760009765625,747.7899780273438,50943 +2026-07-22 19:33:00+00:00,747.8099975585938,747.8800048828125,747.72998046875,747.72998046875,65899 +2026-07-22 19:34:00+00:00,747.72998046875,747.780029296875,747.6699829101562,747.7100219726562,305278 +2026-07-22 19:35:00+00:00,747.7100219726562,747.7999877929688,747.6599731445312,747.6599731445312,123538 +2026-07-22 19:36:00+00:00,747.6699829101562,747.6699829101562,747.5050048828125,747.655029296875,85988 +2026-07-22 19:37:00+00:00,747.6599731445312,747.6799926757812,747.5599975585938,747.5900268554688,115687 +2026-07-22 19:38:00+00:00,747.5900268554688,747.594970703125,747.375,747.4749755859375,139719 +2026-07-22 19:39:00+00:00,747.469970703125,747.4849853515625,747.3599853515625,747.4099731445312,57722 +2026-07-22 19:40:00+00:00,747.4215087890625,747.5900268554688,747.4199829101562,747.52001953125,79139 +2026-07-22 19:41:00+00:00,747.52001953125,747.6599731445312,747.463623046875,747.6500244140625,123791 +2026-07-22 19:42:00+00:00,747.64501953125,747.8300170898438,747.5999755859375,747.7949829101562,113632 +2026-07-22 19:43:00+00:00,747.7999877929688,747.8599853515625,747.7899780273438,747.8300170898438,123460 +2026-07-22 19:44:00+00:00,747.8300170898438,747.9199829101562,747.7750244140625,747.7899780273438,116504 +2026-07-22 19:45:00+00:00,747.7949829101562,747.989990234375,747.780029296875,747.7899780273438,148811 +2026-07-22 19:46:00+00:00,747.780029296875,747.9199829101562,747.77001953125,747.7849731445312,134399 +2026-07-22 19:47:00+00:00,747.780029296875,747.9500122070312,747.7550048828125,747.8800048828125,140081 +2026-07-22 19:48:00+00:00,747.8699951171875,748.0050048828125,747.8400268554688,747.885009765625,166581 +2026-07-22 19:49:00+00:00,747.8900146484375,748.0700073242188,747.8900146484375,747.97998046875,152835 +2026-07-22 19:50:00+00:00,747.989990234375,748.2999877929688,747.7999877929688,747.8599853515625,279512 +2026-07-22 19:51:00+00:00,747.8499755859375,747.9500122070312,747.6900024414062,747.7899780273438,134926 +2026-07-22 19:52:00+00:00,747.77001953125,748.0700073242188,747.7100219726562,747.9500122070312,127623 +2026-07-22 19:53:00+00:00,747.9595947265625,748.1199951171875,747.8599853515625,747.9400024414062,96370 +2026-07-22 19:54:00+00:00,747.9299926757812,747.9600219726562,747.7050170898438,747.8099975585938,232541 +2026-07-22 19:55:00+00:00,747.8200073242188,747.8400268554688,747.5499877929688,747.6900024414062,315782 +2026-07-22 19:56:00+00:00,747.6900024414062,747.8800048828125,747.5900268554688,747.75,154781 +2026-07-22 19:57:00+00:00,747.760009765625,748.0800170898438,747.75,748.02001953125,545759 +2026-07-22 19:58:00+00:00,748.010009765625,748.239990234375,747.8699951171875,747.9500122070312,751101 +2026-07-22 19:59:00+00:00,747.9500122070312,748.22998046875,747.2949829101562,747.3300170898438,1332594 +2026-07-23 13:30:00+00:00,739.3699951171875,739.4099731445312,738.469970703125,739.02001953125,2648794 +2026-07-23 13:31:00+00:00,739.02001953125,739.77001953125,738.8400268554688,739.77001953125,542780 +2026-07-23 13:32:00+00:00,739.77001953125,740.4500122070312,739.77001953125,740.3699951171875,466862 +2026-07-23 13:33:00+00:00,740.3900146484375,740.7899780273438,740.1699829101562,740.739990234375,305123 +2026-07-23 13:34:00+00:00,740.75,741.3699951171875,740.75,741.3200073242188,238312 +2026-07-23 13:35:00+00:00,741.2999877929688,741.6099853515625,741.0999755859375,741.25,168855 +2026-07-23 13:36:00+00:00,741.239990234375,741.3300170898438,740.8499755859375,741.3300170898438,221312 +2026-07-23 13:37:00+00:00,741.3300170898438,741.7100219726562,741.219970703125,741.6300048828125,115576 +2026-07-23 13:38:00+00:00,741.6300048828125,741.8699951171875,741.2050170898438,741.4249877929688,145818 +2026-07-23 13:39:00+00:00,741.4400024414062,741.6500244140625,741.1845092773438,741.4450073242188,141534 +2026-07-23 13:40:00+00:00,741.4199829101562,741.75,741.4199829101562,741.5399780273438,99024 +2026-07-23 13:41:00+00:00,741.530029296875,741.844970703125,741.4400024414062,741.844970703125,115092 +2026-07-23 13:42:00+00:00,741.8300170898438,742.2899780273438,741.719970703125,742.239990234375,119268 +2026-07-23 13:43:00+00:00,742.2449951171875,742.5599975585938,742.2100219726562,742.3800048828125,143542 +2026-07-23 13:44:00+00:00,742.3800048828125,742.39501953125,741.8200073242188,741.8200073242188,135687 +2026-07-23 13:45:00+00:00,741.8499755859375,741.9949951171875,741.2899169921875,741.8099975585938,188321 +2026-07-23 13:46:00+00:00,741.7999877929688,741.7999877929688,741.260009765625,741.5800170898438,128857 +2026-07-23 13:47:00+00:00,741.5800170898438,741.5999755859375,741.2100219726562,741.25,114404 +2026-07-23 13:48:00+00:00,741.25,741.3200073242188,740.5,740.864990234375,256207 +2026-07-23 13:49:00+00:00,740.8599853515625,740.97998046875,740.1699829101562,740.4000244140625,119732 +2026-07-23 13:50:00+00:00,740.3699951171875,740.52001953125,740.1400146484375,740.3900146484375,229944 +2026-07-23 13:51:00+00:00,740.4000244140625,740.4099731445312,739.8300170898438,739.889892578125,198454 +2026-07-23 13:52:00+00:00,739.8900146484375,740.1199951171875,739.719970703125,740.0999755859375,150453 +2026-07-23 13:53:00+00:00,740.0900268554688,740.3460083007812,739.9199829101562,740.25,163821 +2026-07-23 13:54:00+00:00,740.25,740.9450073242188,740.1900024414062,740.9299926757812,289276 +2026-07-23 13:55:00+00:00,740.9500122070312,741.280029296875,740.7341918945312,740.75,133455 +2026-07-23 13:56:00+00:00,740.739990234375,740.780029296875,740.0900268554688,740.0900268554688,173490 +2026-07-23 13:57:00+00:00,740.0700073242188,740.0999755859375,739.60498046875,739.8400268554688,130785 +2026-07-23 13:58:00+00:00,739.7550048828125,739.8400268554688,739.2999877929688,739.7999877929688,112205 +2026-07-23 13:59:00+00:00,739.8062744140625,739.9299926757812,739.5599975585938,739.5750122070312,126935 +2026-07-23 14:00:00+00:00,739.5800170898438,740.6300048828125,739.5800170898438,740.280029296875,163256 +2026-07-23 14:01:00+00:00,740.2750244140625,740.3250122070312,739.739990234375,739.760009765625,114513 +2026-07-23 14:02:00+00:00,739.7550048828125,740.1500244140625,739.72998046875,739.905029296875,80228 +2026-07-23 14:03:00+00:00,739.9099731445312,740.1900024414062,739.8699951171875,740.02001953125,92075 +2026-07-23 14:04:00+00:00,740.0050048828125,740.52001953125,739.969970703125,740.344970703125,81642 +2026-07-23 14:05:00+00:00,740.3599853515625,740.7100219726562,740.0800170898438,740.7000122070312,75023 +2026-07-23 14:06:00+00:00,740.719970703125,740.9299926757812,740.5599975585938,740.60498046875,66834 +2026-07-23 14:07:00+00:00,740.6099853515625,740.780029296875,740.3699951171875,740.530029296875,62723 +2026-07-23 14:08:00+00:00,740.510009765625,740.760009765625,739.3200073242188,739.3900146484375,99668 +2026-07-23 14:09:00+00:00,739.4199829101562,739.52001953125,738.8699951171875,739.3599853515625,139332 +2026-07-23 14:10:00+00:00,739.344970703125,740.0499877929688,739.344970703125,739.5800170898438,78191 +2026-07-23 14:11:00+00:00,739.6199951171875,739.989501953125,739.2100219726562,739.9500122070312,72375 +2026-07-23 14:12:00+00:00,739.9299926757812,740.3200073242188,739.7637939453125,740.3200073242188,99104 +2026-07-23 14:13:00+00:00,740.3200073242188,740.5399780273438,740.0599975585938,740.0800170898438,78750 +2026-07-23 14:14:00+00:00,740.0850219726562,740.260009765625,739.47998046875,739.6900024414062,117186 +2026-07-23 14:15:00+00:00,739.6599731445312,739.989013671875,739.4600219726562,739.6199951171875,84443 +2026-07-23 14:16:00+00:00,739.614990234375,740.0700073242188,739.52001953125,740.030029296875,74199 +2026-07-23 14:17:00+00:00,740.0,740.2249755859375,739.77001953125,740.1699829101562,81255 +2026-07-23 14:18:00+00:00,740.1599731445312,740.3599853515625,739.989990234375,740.0,64901 +2026-07-23 14:19:00+00:00,740.0,740.0,739.4099731445312,739.510009765625,144764 +2026-07-23 14:20:00+00:00,739.52001953125,739.8300170898438,739.3800048828125,739.52001953125,71813 +2026-07-23 14:21:00+00:00,739.52001953125,740.1699829101562,739.469970703125,740.1195068359375,90050 +2026-07-23 14:22:00+00:00,740.0999755859375,740.4349975585938,739.9099731445312,740.22998046875,137442 +2026-07-23 14:23:00+00:00,740.2100219726562,740.3200073242188,739.780029296875,739.8298950195312,200885 +2026-07-23 14:24:00+00:00,739.8099975585938,739.8800048828125,739.1699829101562,739.4400024414062,77503 +2026-07-23 14:25:00+00:00,739.4000244140625,739.77001953125,739.25,739.6699829101562,67461 +2026-07-23 14:26:00+00:00,739.6699829101562,739.6699829101562,739.010009765625,739.27001953125,209944 +2026-07-23 14:27:00+00:00,739.3200073242188,739.3599853515625,738.989990234375,739.2000122070312,117160 +2026-07-23 14:28:00+00:00,739.1900024414062,739.6400146484375,739.1799926757812,739.239990234375,100535 +2026-07-23 14:29:00+00:00,739.2100219726562,739.9099731445312,739.2100219726562,739.7999877929688,50342 +2026-07-23 14:30:00+00:00,739.739990234375,740.0399780273438,739.3800048828125,739.5700073242188,61099 +2026-07-23 14:31:00+00:00,739.5700073242188,739.97998046875,739.3599853515625,739.4099731445312,43348 +2026-07-23 14:32:00+00:00,739.4199829101562,739.5,738.9600219726562,739.0599975585938,59351 +2026-07-23 14:33:00+00:00,739.0698852539062,739.1599731445312,738.6599731445312,738.7899780273438,92558 +2026-07-23 14:34:00+00:00,738.780029296875,739.1300048828125,738.6900024414062,738.969970703125,193414 +2026-07-23 14:35:00+00:00,738.97998046875,739.0700073242188,738.6099853515625,738.6500244140625,134419 +2026-07-23 14:36:00+00:00,738.6599731445312,738.9199829101562,738.5900268554688,738.875,59281 +2026-07-23 14:37:00+00:00,738.9000244140625,740.2999877929688,738.8900146484375,740.2838134765625,267187 +2026-07-23 14:38:00+00:00,740.280029296875,740.280029296875,739.6649780273438,739.9299926757812,221879 +2026-07-23 14:39:00+00:00,739.9600219726562,740.510009765625,739.9099731445312,740.3800048828125,98016 +2026-07-23 14:40:00+00:00,740.3800048828125,740.6400146484375,740.0,740.0,84522 +2026-07-23 14:41:00+00:00,740.0098876953125,740.0700073242188,739.3200073242188,739.469970703125,80696 +2026-07-23 14:42:00+00:00,739.4400024414062,739.6500244140625,738.9400024414062,739.1799926757812,67800 +2026-07-23 14:43:00+00:00,739.1749877929688,739.2999877929688,738.6699829101562,738.8599853515625,100461 +2026-07-23 14:44:00+00:00,738.8499755859375,739.0698852539062,738.6699829101562,738.8699951171875,99021 +2026-07-23 14:45:00+00:00,738.8599853515625,739.1199951171875,738.7100219726562,738.719970703125,86141 +2026-07-23 14:46:00+00:00,738.72998046875,739.1900024414062,738.6699829101562,739.0800170898438,69932 +2026-07-23 14:47:00+00:00,739.0900268554688,739.469970703125,739.0900268554688,739.1799926757812,89310 +2026-07-23 14:48:00+00:00,739.1649780273438,739.1799926757812,738.8499755859375,738.9500122070312,85680 +2026-07-23 14:49:00+00:00,738.9400024414062,739.0499877929688,738.6704711914062,738.8300170898438,91930 +2026-07-23 14:50:00+00:00,738.8400268554688,739.0700073242188,738.4400024414062,738.52001953125,117603 +2026-07-23 14:51:00+00:00,738.52001953125,738.5399780273438,738.030029296875,738.0599975585938,169306 +2026-07-23 14:52:00+00:00,738.0599975585938,738.4500122070312,738.010009765625,738.35498046875,106301 +2026-07-23 14:53:00+00:00,738.3499755859375,738.3499755859375,738.010009765625,738.1599731445312,61059 +2026-07-23 14:54:00+00:00,738.1400146484375,738.280029296875,738.010009765625,738.1400146484375,73535 +2026-07-23 14:55:00+00:00,738.155029296875,738.3499755859375,738.0700073242188,738.0900268554688,69954 +2026-07-23 14:56:00+00:00,738.094970703125,738.4249877929688,738.094970703125,738.4249877929688,68826 +2026-07-23 14:57:00+00:00,738.4000244140625,738.5800170898438,738.3499755859375,738.5050048828125,66702 +2026-07-23 14:58:00+00:00,738.5,738.5050048828125,738.1500244140625,738.2000122070312,73813 +2026-07-23 14:59:00+00:00,738.2100219726562,738.530029296875,738.1400146484375,738.3099975585938,75618 +2026-07-23 15:00:00+00:00,738.3200073242188,738.47998046875,738.1799926757812,738.260009765625,83957 +2026-07-23 15:01:00+00:00,738.22998046875,738.280029296875,737.75,737.9299926757812,108999 +2026-07-23 15:02:00+00:00,737.9199829101562,738.030029296875,737.739990234375,737.739990234375,93991 +2026-07-23 15:03:00+00:00,737.739990234375,737.97998046875,737.6400146484375,737.75,83734 +2026-07-23 15:04:00+00:00,737.739990234375,737.7449951171875,737.5,737.6599731445312,86306 +2026-07-23 15:05:00+00:00,737.6699829101562,737.7000122070312,737.3099975585938,737.3099975585938,119008 +2026-07-23 15:06:00+00:00,737.2999877929688,737.3198852539062,736.9400024414062,737.010009765625,201253 +2026-07-23 15:07:00+00:00,737.010009765625,737.5,736.969970703125,737.3400268554688,152011 +2026-07-23 15:08:00+00:00,737.3300170898438,737.4199829101562,737.2000122070312,737.3300170898438,128873 +2026-07-23 15:09:00+00:00,737.3099975585938,737.52001953125,737.1298828125,737.155029296875,229925 +2026-07-23 15:10:00+00:00,737.1599731445312,737.4099731445312,736.969970703125,737.2100219726562,126254 +2026-07-23 15:11:00+00:00,737.2249755859375,737.2249755859375,736.8300170898438,736.830078125,95090 +2026-07-23 15:12:00+00:00,736.8300170898438,736.8900146484375,736.510009765625,736.6300048828125,263272 +2026-07-23 15:13:00+00:00,736.6099853515625,736.8499755859375,736.5499877929688,736.8200073242188,377413 +2026-07-23 15:14:00+00:00,736.7899780273438,736.8599853515625,736.4500122070312,736.6500244140625,123405 +2026-07-23 15:15:00+00:00,736.6199951171875,737.0698852539062,736.5800170898438,736.8900146484375,114649 +2026-07-23 15:16:00+00:00,736.8599853515625,736.9500122070312,736.6199951171875,736.8499755859375,125989 +2026-07-23 15:17:00+00:00,736.85498046875,737.1900024414062,736.8300170898438,737.0850219726562,93914 +2026-07-23 15:18:00+00:00,737.0800170898438,737.1950073242188,736.9400024414062,736.998291015625,184537 +2026-07-23 15:19:00+00:00,737.0,737.2750244140625,736.9299926757812,737.1799926757812,118112 +2026-07-23 15:20:00+00:00,737.2000122070312,737.6900024414062,737.2000122070312,737.47998046875,143339 +2026-07-23 15:21:00+00:00,737.47998046875,737.5700073242188,736.89501953125,736.9450073242188,82430 +2026-07-23 15:22:00+00:00,736.9199829101562,737.1694946289062,735.97998046875,736.2999877929688,304817 +2026-07-23 15:23:00+00:00,736.3099975585938,736.75,736.3099975585938,736.4899291992188,417686 +2026-07-23 15:24:00+00:00,736.4849853515625,736.77001953125,736.4500122070312,736.669921875,71962 +2026-07-23 15:25:00+00:00,736.6699829101562,736.7203979492188,736.1900024414062,736.2999877929688,363541 +2026-07-23 15:26:00+00:00,736.2899780273438,736.3099975585938,736.030029296875,736.1950073242188,89232 +2026-07-23 15:27:00+00:00,736.1699829101562,736.219970703125,736.010009765625,736.0499877929688,86653 +2026-07-23 15:28:00+00:00,736.0599975585938,736.3300170898438,735.8200073242188,735.8400268554688,190633 +2026-07-23 15:29:00+00:00,735.8300170898438,736.0399780273438,735.8099975585938,735.9298706054688,126962 +2026-07-23 15:30:00+00:00,735.9099731445312,736.0050048828125,735.4099731445312,735.469970703125,175605 +2026-07-23 15:31:00+00:00,735.4400024414062,735.8400268554688,735.2100219726562,735.6799926757812,161824 +2026-07-23 15:32:00+00:00,735.6849975585938,736.0499877929688,735.6799926757812,736.0399780273438,120544 +2026-07-23 15:33:00+00:00,736.0499877929688,736.3300170898438,735.8599853515625,736.1599731445312,175975 +2026-07-23 15:34:00+00:00,736.1649780273438,736.4199829101562,736.0599975585938,736.4099731445312,176953 +2026-07-23 15:35:00+00:00,736.4099731445312,736.8099975585938,736.4000244140625,736.5800170898438,157188 +2026-07-23 15:36:00+00:00,736.5999755859375,736.760009765625,736.3800048828125,736.75,68354 +2026-07-23 15:37:00+00:00,736.75,737.2100219726562,736.510009765625,736.8599853515625,294550 +2026-07-23 15:38:00+00:00,736.8900146484375,737.375,736.8599853515625,737.3461303710938,97183 +2026-07-23 15:39:00+00:00,737.35498046875,737.4400024414062,737.0499877929688,737.3480224609375,79515 +2026-07-23 15:40:00+00:00,737.3400268554688,737.6599731445312,737.3300170898438,737.3599853515625,72900 +2026-07-23 15:41:00+00:00,737.3099975585938,737.469970703125,737.0505981445312,737.4500122070312,66807 +2026-07-23 15:42:00+00:00,737.4500122070312,737.5789794921875,736.8820190429688,736.9400024414062,270141 +2026-07-23 15:43:00+00:00,736.9400024414062,737.0399780273438,736.719970703125,736.7349853515625,61847 +2026-07-23 15:44:00+00:00,736.7349853515625,736.9199829101562,736.6400146484375,736.6400146484375,72404 +2026-07-23 15:45:00+00:00,736.6400146484375,736.89599609375,736.3599853515625,736.7550048828125,116970 +2026-07-23 15:46:00+00:00,736.760009765625,736.869873046875,736.4500122070312,736.5700073242188,87900 +2026-07-23 15:47:00+00:00,736.5700073242188,736.739990234375,736.47998046875,736.5499877929688,66931 +2026-07-23 15:48:00+00:00,736.5584106445312,736.7899780273438,736.52001953125,736.6400146484375,45144 +2026-07-23 15:49:00+00:00,736.6199951171875,736.969970703125,736.5499877929688,736.8961791992188,35914 +2026-07-23 15:50:00+00:00,736.8900146484375,737.02001953125,736.5900268554688,736.9299926757812,79380 +2026-07-23 15:51:00+00:00,736.9450073242188,736.989990234375,736.6500244140625,736.739990234375,55216 +2026-07-23 15:52:00+00:00,736.75,737.0449829101562,736.739990234375,736.8800048828125,50667 +2026-07-23 15:53:00+00:00,736.8900146484375,736.97998046875,736.7999877929688,736.9000244140625,43913 +2026-07-23 15:54:00+00:00,736.9099731445312,737.3300170898438,736.9099731445312,737.3200073242188,91101 +2026-07-23 15:55:00+00:00,737.3300170898438,737.4500122070312,737.280029296875,737.3599853515625,53678 +2026-07-23 15:56:00+00:00,737.3599853515625,737.5900268554688,737.2100219726562,737.4000244140625,93949 +2026-07-23 15:57:00+00:00,737.4099731445312,737.4450073242188,737.1199951171875,737.4199829101562,35496 +2026-07-23 15:58:00+00:00,737.4400024414062,737.7698974609375,737.4000244140625,737.7150268554688,69600 +2026-07-23 15:59:00+00:00,737.719970703125,737.9000244140625,737.7100219726562,737.844970703125,80281 +2026-07-23 16:00:00+00:00,737.844970703125,737.9299926757812,737.6199951171875,737.9299926757812,118870 +2026-07-23 16:01:00+00:00,737.9299926757812,737.9600219726562,737.530029296875,737.8499755859375,75874 +2026-07-23 16:02:00+00:00,737.8599853515625,738.2000122070312,737.760009765625,738.2000122070312,94455 +2026-07-23 16:03:00+00:00,738.1900024414062,738.3099975585938,738.010009765625,738.1799926757812,53787 +2026-07-23 16:04:00+00:00,738.1199951171875,738.1599731445312,737.9199829101562,738.0349731445312,78760 +2026-07-23 16:05:00+00:00,738.0399780273438,738.1292724609375,737.5698852539062,737.6099853515625,80107 +2026-07-23 16:06:00+00:00,737.5999755859375,737.989990234375,737.5499877929688,737.75,81590 +2026-07-23 16:07:00+00:00,737.75,737.9000244140625,737.7100219726562,737.8311157226562,32746 +2026-07-23 16:08:00+00:00,737.8200073242188,738.3800048828125,737.8200073242188,738.3300170898438,92353 +2026-07-23 16:09:00+00:00,738.3200073242188,738.469970703125,738.2125244140625,738.469970703125,56481 +2026-07-23 16:10:00+00:00,738.469970703125,738.5999755859375,738.4400024414062,738.5900268554688,105362 +2026-07-23 16:11:00+00:00,738.5850219726562,738.719970703125,738.4199829101562,738.6400146484375,86414 +2026-07-23 16:12:00+00:00,738.6500854492188,738.8350219726562,738.469970703125,738.4801025390625,78313 +2026-07-23 16:13:00+00:00,738.489990234375,738.7490234375,738.469970703125,738.469970703125,46479 +2026-07-23 16:14:00+00:00,738.4600219726562,738.760009765625,738.4500122070312,738.6199951171875,92503 +2026-07-23 16:15:00+00:00,738.6199951171875,738.7598876953125,738.52001953125,738.719970703125,101558 +2026-07-23 16:16:00+00:00,738.7100219726562,738.7349853515625,738.47998046875,738.6199951171875,54418 +2026-07-23 16:17:00+00:00,738.6199951171875,738.8300170898438,738.6199951171875,738.7999877929688,992718 +2026-07-23 16:18:00+00:00,738.7899780273438,738.8049926757812,738.6099853515625,738.6599731445312,85312 +2026-07-23 16:19:00+00:00,738.6599731445312,738.6599731445312,738.219970703125,738.5700073242188,58226 +2026-07-23 16:20:00+00:00,738.5828247070312,738.9400024414062,738.5700073242188,738.9299926757812,46330 +2026-07-23 16:21:00+00:00,738.9400024414062,739.1300048828125,738.8599853515625,739.030029296875,121796 +2026-07-23 16:22:00+00:00,739.030029296875,739.280029296875,738.9099731445312,739.25,88225 +2026-07-23 16:23:00+00:00,739.25,739.6599731445312,739.1799926757812,739.530029296875,100343 +2026-07-23 16:24:00+00:00,739.530029296875,739.64501953125,739.414306640625,739.4600219726562,127399 +2026-07-23 16:25:00+00:00,739.4500122070312,739.5449829101562,739.3400268554688,739.4299926757812,80043 +2026-07-23 16:26:00+00:00,739.4299926757812,739.4600219726562,739.1599731445312,739.1699829101562,68316 +2026-07-23 16:27:00+00:00,739.1799926757812,739.489990234375,739.1500244140625,739.4299926757812,67189 +2026-07-23 16:28:00+00:00,739.4400024414062,739.469970703125,739.3099975585938,739.4249877929688,42120 +2026-07-23 16:29:00+00:00,739.4199829101562,739.6199951171875,739.3099975585938,739.4500122070312,120717 +2026-07-23 16:30:00+00:00,739.4500122070312,739.469970703125,739.1799926757812,739.364990234375,110497 +2026-07-23 16:31:00+00:00,739.3800048828125,739.489990234375,739.29248046875,739.3599853515625,35882 +2026-07-23 16:32:00+00:00,739.35498046875,739.364990234375,739.1799926757812,739.2899780273438,52050 +2026-07-23 16:33:00+00:00,739.280029296875,739.4400024414062,739.2100219726562,739.2550048828125,66984 +2026-07-23 16:34:00+00:00,739.27001953125,739.3599853515625,739.0599975585938,739.1199951171875,62761 +2026-07-23 16:35:00+00:00,739.0999755859375,739.3900146484375,738.9400024414062,739.3099975585938,96629 +2026-07-23 16:36:00+00:00,739.3300170898438,739.39501953125,739.1500244140625,739.3499755859375,52675 +2026-07-23 16:37:00+00:00,739.3400268554688,739.3499755859375,739.1229858398438,739.260009765625,83573 +2026-07-23 16:38:00+00:00,739.260009765625,739.5700073242188,739.1199951171875,739.5599975585938,45280 +2026-07-23 16:39:00+00:00,739.5671997070312,739.719970703125,739.5256958007812,739.6998901367188,55465 +2026-07-23 16:40:00+00:00,739.7000122070312,739.7100219726562,739.2999877929688,739.3800048828125,36855 +2026-07-23 16:41:00+00:00,739.4000244140625,739.4000244140625,739.1400146484375,739.2000122070312,53400 +2026-07-23 16:42:00+00:00,739.1900024414062,739.1900024414062,738.97998046875,739.0850219726562,48239 +2026-07-23 16:43:00+00:00,739.0800170898438,739.2100219726562,739.030029296875,739.1300048828125,38363 +2026-07-23 16:44:00+00:00,739.1400146484375,739.1599731445312,738.969970703125,738.969970703125,46046 +2026-07-23 16:45:00+00:00,738.9600219726562,738.9600219726562,738.3800048828125,738.389892578125,91499 +2026-07-23 16:46:00+00:00,738.4000244140625,738.510009765625,738.3400268554688,738.4000244140625,58967 +2026-07-23 16:47:00+00:00,738.39501953125,738.52001953125,738.2750244140625,738.3599853515625,84254 +2026-07-23 16:48:00+00:00,738.4099731445312,738.4500122070312,738.0900268554688,738.1798706054688,47863 +2026-07-23 16:49:00+00:00,738.1749877929688,738.2999877929688,738.010009765625,738.0250244140625,68948 +2026-07-23 16:50:00+00:00,738.02001953125,738.0900268554688,737.8099975585938,737.9400024414062,50131 +2026-07-23 16:51:00+00:00,737.9299926757812,738.1300048828125,737.8599853515625,737.9199829101562,48483 +2026-07-23 16:52:00+00:00,737.9400024414062,738.3400268554688,737.9099731445312,738.010009765625,67713 +2026-07-23 16:53:00+00:00,737.989990234375,738.0,737.75,737.8699951171875,74928 +2026-07-23 16:54:00+00:00,737.8576049804688,738.0399780273438,737.8400268554688,737.97998046875,57964 +2026-07-23 16:55:00+00:00,737.97998046875,738.4057006835938,737.97998046875,738.25,53360 +2026-07-23 16:56:00+00:00,738.261474609375,738.3499755859375,738.0999755859375,738.3499755859375,92725 +2026-07-23 16:57:00+00:00,738.3800048828125,738.4000244140625,738.1500244140625,738.2100219726562,40867 +2026-07-23 16:58:00+00:00,738.2000122070312,738.2999877929688,738.1099853515625,738.1500244140625,25827 +2026-07-23 16:59:00+00:00,738.1799926757812,738.7100219726562,738.1799926757812,738.6599731445312,58656 +2026-07-23 17:00:00+00:00,738.6699829101562,738.9400024414062,738.3200073242188,738.8699951171875,60977 +2026-07-23 17:01:00+00:00,738.8599853515625,738.8704833984375,738.6400146484375,738.7803955078125,25572 +2026-07-23 17:02:00+00:00,738.7999877929688,738.7999877929688,738.4299926757812,738.7999877929688,28515 +2026-07-23 17:03:00+00:00,738.780029296875,738.8300170898438,738.6099853515625,738.719970703125,27644 +2026-07-23 17:04:00+00:00,738.72998046875,738.7318115234375,738.2000122070312,738.2100219726562,32750 +2026-07-23 17:05:00+00:00,738.219970703125,738.219970703125,737.7899780273438,738.0,300305 +2026-07-23 17:06:00+00:00,737.969970703125,738.1898803710938,737.8300170898438,737.9299926757812,37687 +2026-07-23 17:07:00+00:00,737.9000244140625,738.219970703125,737.8699951171875,738.02001953125,19466 +2026-07-23 17:08:00+00:00,738.02001953125,738.4199829101562,737.9199829101562,738.1099853515625,33982 +2026-07-23 17:09:00+00:00,738.1300048828125,738.489990234375,737.9299926757812,738.489990234375,32381 +2026-07-23 17:10:00+00:00,738.4600219726562,738.8300170898438,738.4299926757812,738.6500244140625,132716 +2026-07-23 17:11:00+00:00,738.5999755859375,738.6300048828125,738.4299926757812,738.5700073242188,50722 +2026-07-23 17:12:00+00:00,738.5900268554688,738.8400268554688,738.5700073242188,738.7650146484375,125254 +2026-07-23 17:13:00+00:00,738.7899780273438,738.8300170898438,738.530029296875,738.5800170898438,38326 +2026-07-23 17:14:00+00:00,738.5999755859375,738.6799926757812,738.4450073242188,738.6099853515625,58281 +2026-07-23 17:15:00+00:00,738.5599975585938,738.6699829101562,738.4550170898438,738.594970703125,45008 +2026-07-23 17:16:00+00:00,738.6199951171875,738.9000244140625,738.6099853515625,738.7319946289062,32943 +2026-07-23 17:17:00+00:00,738.760009765625,738.8699951171875,738.280029296875,738.280029296875,114525 +2026-07-23 17:18:00+00:00,738.280029296875,738.5223999023438,738.1599731445312,738.3400268554688,114825 +2026-07-23 17:19:00+00:00,738.3699951171875,738.5250244140625,738.260009765625,738.5250244140625,212110 +2026-07-23 17:20:00+00:00,738.5650024414062,738.9600219726562,738.5599975585938,738.72998046875,205693 +2026-07-23 17:21:00+00:00,738.780029296875,738.8800048828125,738.5800170898438,738.5800170898438,969219 +2026-07-23 17:22:00+00:00,738.5900268554688,738.6900024414062,738.4000244140625,738.510009765625,86486 +2026-07-23 17:23:00+00:00,738.510009765625,738.8900756835938,738.4500122070312,738.8900146484375,46419 +2026-07-23 17:24:00+00:00,738.905029296875,739.030029296875,738.760009765625,738.989990234375,198876 +2026-07-23 17:25:00+00:00,738.97998046875,739.1199951171875,738.9000854492188,739.0900268554688,76454 +2026-07-23 17:26:00+00:00,739.0700073242188,739.2000122070312,738.9400024414062,739.0900268554688,63482 +2026-07-23 17:27:00+00:00,739.0800170898438,739.1500244140625,738.780029296875,738.864990234375,64773 +2026-07-23 17:28:00+00:00,738.9000244140625,738.969970703125,738.8300170898438,738.9600219726562,47282 +2026-07-23 17:29:00+00:00,738.9400024414062,738.9600219726562,738.739990234375,738.75,122267 +2026-07-23 17:30:00+00:00,738.739990234375,738.7999877929688,738.489990234375,738.6749877929688,61726 +2026-07-23 17:31:00+00:00,738.6799926757812,738.7000122070312,738.1699829101562,738.260009765625,474241 +2026-07-23 17:32:00+00:00,738.25,738.27001953125,738.0599975585938,738.1199951171875,57404 +2026-07-23 17:33:00+00:00,738.1300048828125,738.3099975585938,738.0499877929688,738.1500244140625,33421 +2026-07-23 17:34:00+00:00,738.1400146484375,738.25,738.0599975585938,738.0900268554688,21104 +2026-07-23 17:35:00+00:00,738.0549926757812,738.1199951171875,737.6296997070312,737.6489868164062,36780 +2026-07-23 17:36:00+00:00,737.6099853515625,737.739990234375,737.47998046875,737.5700073242188,38487 +2026-07-23 17:37:00+00:00,737.5700073242188,737.635009765625,737.4650268554688,737.6199951171875,33022 +2026-07-23 17:38:00+00:00,737.6373901367188,737.8599853515625,737.5900268554688,737.6500244140625,29065 +2026-07-23 17:39:00+00:00,737.6300048828125,737.8400268554688,737.5999755859375,737.6199951171875,16764 +2026-07-23 17:40:00+00:00,737.6199951171875,737.7550048828125,737.280029296875,737.3699951171875,40582 +2026-07-23 17:41:00+00:00,737.3499755859375,737.5549926757812,737.27001953125,737.5399780273438,37783 +2026-07-23 17:42:00+00:00,737.5150146484375,737.6165161132812,737.4299926757812,737.5599975585938,32741 +2026-07-23 17:43:00+00:00,737.5499877929688,737.780029296875,737.52001953125,737.75,44269 +2026-07-23 17:44:00+00:00,737.7100219726562,737.8599853515625,737.594970703125,737.7100219726562,33712 +2026-07-23 17:45:00+00:00,737.7000122070312,738.1995239257812,737.5,738.0999755859375,54981 +2026-07-23 17:46:00+00:00,738.0999755859375,738.25,737.9099731445312,738.125,34863 +2026-07-23 17:47:00+00:00,738.1599731445312,738.27001953125,738.0599975585938,738.1400146484375,26530 +2026-07-23 17:48:00+00:00,738.1400146484375,738.2301025390625,737.97998046875,738.1599731445312,41208 +2026-07-23 17:49:00+00:00,738.1500244140625,738.2899780273438,738.1500244140625,738.1599731445312,21860 +2026-07-23 17:50:00+00:00,738.1699829101562,738.219970703125,737.9400024414062,738.14501953125,39257 +2026-07-23 17:51:00+00:00,738.1400146484375,738.1900024414062,737.9000244140625,737.9299926757812,15652 +2026-07-23 17:52:00+00:00,737.9400024414062,738.2399291992188,737.9299926757812,738.1099853515625,21237 +2026-07-23 17:53:00+00:00,738.0900268554688,738.1199951171875,737.8400268554688,737.9182739257812,26188 +2026-07-23 17:54:00+00:00,737.9089965820312,737.9400024414062,737.7000122070312,737.7100219726562,38541 +2026-07-23 17:55:00+00:00,737.6500244140625,737.7098999023438,737.4500122070312,737.5750122070312,42288 +2026-07-23 17:56:00+00:00,737.5625,737.5900268554688,737.280029296875,737.3900146484375,31385 +2026-07-23 17:57:00+00:00,737.3800048828125,737.4199829101562,737.1799926757812,737.2100219726562,28283 +2026-07-23 17:58:00+00:00,737.1799926757812,737.2999877929688,737.1300048828125,737.25,28250 +2026-07-23 17:59:00+00:00,737.260009765625,737.2899780273438,737.1400146484375,737.1900024414062,19567 +2026-07-23 18:00:00+00:00,737.1599731445312,737.3099975585938,737.030029296875,737.1799926757812,81357 +2026-07-23 18:01:00+00:00,737.1699829101562,737.1900024414062,736.9000244140625,737.0700073242188,33957 +2026-07-23 18:02:00+00:00,737.0670166015625,737.0999755859375,736.969970703125,737.094970703125,19359 +2026-07-23 18:03:00+00:00,737.1300048828125,737.280029296875,737.10498046875,737.2349853515625,32947 +2026-07-23 18:04:00+00:00,737.2349853515625,737.2999877929688,736.9500122070312,736.97998046875,44886 +2026-07-23 18:05:00+00:00,736.969970703125,737.0399780273438,736.8699951171875,737.0,42989 +2026-07-23 18:06:00+00:00,736.969970703125,737.1599731445312,736.9099731445312,737.0999755859375,50022 +2026-07-23 18:07:00+00:00,737.0999755859375,737.0999755859375,736.8001098632812,736.8350219726562,35232 +2026-07-23 18:08:00+00:00,736.8200073242188,737.0527954101562,736.8099975585938,736.9749755859375,52837 +2026-07-23 18:09:00+00:00,736.969970703125,737.030029296875,736.8599853515625,736.8619995117188,28131 +2026-07-23 18:10:00+00:00,736.8900146484375,737.0900268554688,736.8699951171875,737.02001953125,35315 +2026-07-23 18:11:00+00:00,737.030029296875,737.1300048828125,736.9099731445312,737.0900268554688,50646 +2026-07-23 18:12:00+00:00,737.0900268554688,737.3699951171875,737.0609741210938,737.2999877929688,301058 +2026-07-23 18:13:00+00:00,737.2999877929688,737.3200073242188,737.1500244140625,737.2349853515625,46498 +2026-07-23 18:14:00+00:00,737.22998046875,737.3099975585938,736.969970703125,737.02978515625,160178 +2026-07-23 18:15:00+00:00,736.9719848632812,737.22998046875,736.9400024414062,737.219970703125,64876 +2026-07-23 18:16:00+00:00,737.219970703125,737.3599853515625,737.0999755859375,737.1900024414062,70945 +2026-07-23 18:17:00+00:00,737.219970703125,737.2550048828125,736.8800048828125,736.9199829101562,45723 +2026-07-23 18:18:00+00:00,736.9099731445312,737.1300048828125,736.8800048828125,736.9299926757812,66024 +2026-07-23 18:19:00+00:00,736.9199829101562,737.030029296875,736.8200073242188,737.0,33509 +2026-07-23 18:20:00+00:00,737.02001953125,737.1300048828125,736.969970703125,737.02001953125,52820 +2026-07-23 18:21:00+00:00,737.0,737.280029296875,736.9400024414062,737.27001953125,43650 +2026-07-23 18:22:00+00:00,737.25,737.280029296875,737.1099853515625,737.1199951171875,21467 +2026-07-23 18:23:00+00:00,737.1099853515625,737.280029296875,737.0499877929688,737.280029296875,23203 +2026-07-23 18:24:00+00:00,737.260009765625,737.4400024414062,737.25,737.4099731445312,42520 +2026-07-23 18:25:00+00:00,737.4199829101562,737.489990234375,737.1500244140625,737.25,53948 +2026-07-23 18:26:00+00:00,737.27001953125,737.3200073242188,737.0999755859375,737.1099853515625,42519 +2026-07-23 18:27:00+00:00,737.1099853515625,737.27001953125,737.0349731445312,737.0349731445312,43495 +2026-07-23 18:28:00+00:00,737.0599975585938,737.3499755859375,737.0599975585938,737.239990234375,38003 +2026-07-23 18:29:00+00:00,737.280029296875,737.4500122070312,737.260009765625,737.4199829101562,40298 +2026-07-23 18:30:00+00:00,737.4149780273438,737.607421875,737.3200073242188,737.489990234375,58856 +2026-07-23 18:31:00+00:00,737.4749755859375,737.614990234375,737.4600219726562,737.5599975585938,80447 +2026-07-23 18:32:00+00:00,737.5499877929688,737.6099853515625,737.3699951171875,737.4199829101562,56448 +2026-07-23 18:33:00+00:00,737.4099731445312,737.489990234375,737.3499755859375,737.489990234375,36966 +2026-07-23 18:34:00+00:00,737.5,737.6599731445312,737.489990234375,737.5999755859375,46559 +2026-07-23 18:35:00+00:00,737.5800170898438,737.6900024414062,737.2899780273438,737.2899780273438,69838 +2026-07-23 18:36:00+00:00,737.2899780273438,737.3900146484375,737.0399780273438,737.0549926757812,101797 +2026-07-23 18:37:00+00:00,737.0549926757812,737.1099853515625,736.8300170898438,737.0150146484375,62628 +2026-07-23 18:38:00+00:00,737.010009765625,737.0499877929688,736.8400268554688,736.9099731445312,40952 +2026-07-23 18:39:00+00:00,736.9099731445312,737.029296875,736.8400268554688,736.9299926757812,51976 +2026-07-23 18:40:00+00:00,736.9299926757812,737.02001953125,736.8300170898438,737.02001953125,67938 +2026-07-23 18:41:00+00:00,737.02001953125,737.02001953125,736.6799926757812,736.739990234375,58734 +2026-07-23 18:42:00+00:00,736.72998046875,736.8599853515625,736.6099853515625,736.8101196289062,190154 +2026-07-23 18:43:00+00:00,736.8300170898438,736.8699951171875,736.7000122070312,736.8099975585938,61207 +2026-07-23 18:44:00+00:00,736.8200073242188,736.9000244140625,736.739990234375,736.8400268554688,37666 +2026-07-23 18:45:00+00:00,736.8300170898438,737.1599731445312,736.8300170898438,737.0800170898438,78428 +2026-07-23 18:46:00+00:00,737.0999755859375,737.22998046875,737.0999755859375,737.1799926757812,49355 +2026-07-23 18:47:00+00:00,737.1799926757812,737.3900146484375,737.1799926757812,737.3800048828125,60185 +2026-07-23 18:48:00+00:00,737.4099731445312,737.4500122070312,737.260009765625,737.4000244140625,54577 +2026-07-23 18:49:00+00:00,737.4199829101562,737.4500122070312,737.2000122070312,737.2999877929688,341423 +2026-07-23 18:50:00+00:00,737.2999877929688,737.3699951171875,737.1199951171875,737.1950073242188,103964 +2026-07-23 18:51:00+00:00,737.2000122070312,737.3300170898438,737.1199951171875,737.1900024414062,39162 +2026-07-23 18:52:00+00:00,737.2100219726562,737.2899780273438,737.0800170898438,737.1900024414062,49062 +2026-07-23 18:53:00+00:00,737.1699829101562,737.25,737.0599975585938,737.1099853515625,40998 +2026-07-23 18:54:00+00:00,737.1199951171875,737.1400146484375,736.6868286132812,736.719970703125,61853 +2026-07-23 18:55:00+00:00,736.7100219726562,736.8200073242188,736.6400146484375,736.7899780273438,166529 +2026-07-23 18:56:00+00:00,736.8300170898438,736.8499755859375,736.6500244140625,736.8099975585938,157529 +2026-07-23 18:57:00+00:00,736.8200073242188,736.8300170898438,736.7150268554688,736.7449951171875,68414 +2026-07-23 18:58:00+00:00,736.75,736.8300170898438,736.6300048828125,736.8300170898438,46171 +2026-07-23 18:59:00+00:00,736.8289794921875,737.0599975585938,736.7899780273438,737.0499877929688,52991 +2026-07-23 19:00:00+00:00,737.0800170898438,737.3900146484375,737.0399780273438,737.27001953125,96371 +2026-07-23 19:01:00+00:00,737.25,737.27001953125,737.0900268554688,737.1400146484375,72569 +2026-07-23 19:02:00+00:00,737.1300048828125,737.260009765625,737.0999755859375,737.22998046875,45881 +2026-07-23 19:03:00+00:00,737.219970703125,737.219970703125,736.8300170898438,736.8400268554688,73118 +2026-07-23 19:04:00+00:00,736.8200073242188,736.9099731445312,736.780029296875,736.7999877929688,52708 +2026-07-23 19:05:00+00:00,736.7999877929688,736.9000244140625,736.7000122070312,736.89501953125,64349 +2026-07-23 19:06:00+00:00,736.8900146484375,736.918701171875,736.7999877929688,736.8800048828125,35333 +2026-07-23 19:07:00+00:00,736.8900146484375,736.905029296875,736.77001953125,736.780029296875,40485 +2026-07-23 19:08:00+00:00,736.780029296875,736.9600219726562,736.7650146484375,736.9600219726562,75989 +2026-07-23 19:09:00+00:00,736.9550170898438,736.9600219726562,736.719970703125,736.72998046875,41534 +2026-07-23 19:10:00+00:00,736.719970703125,736.719970703125,736.5,736.5399780273438,0 +2026-07-23 19:11:00+00:00,736.530029296875,736.6950073242188,736.469970703125,736.6699829101562,69446 +2026-07-23 19:12:00+00:00,736.6699829101562,736.875,736.6699829101562,736.719970703125,70895 +2026-07-23 19:13:00+00:00,736.72998046875,736.780029296875,736.6199951171875,736.6699829101562,47522 +2026-07-23 19:14:00+00:00,736.669921875,736.719970703125,736.5999755859375,736.5999755859375,38650 +2026-07-23 19:15:00+00:00,736.5999755859375,736.8900146484375,736.5900268554688,736.760009765625,56630 +2026-07-23 19:16:00+00:00,736.77001953125,736.9450073242188,736.72998046875,736.8699951171875,55789 +2026-07-23 19:17:00+00:00,736.8800048828125,737.1599731445312,736.8599853515625,737.010009765625,116223 +2026-07-23 19:18:00+00:00,737.010009765625,737.030029296875,736.7899780273438,736.9199829101562,54834 +2026-07-23 19:19:00+00:00,736.9099731445312,737.0,736.8800048828125,736.9500122070312,56010 +2026-07-23 19:20:00+00:00,736.969970703125,737.3099975585938,736.9500122070312,737.27001953125,174998 +2026-07-23 19:21:00+00:00,737.280029296875,737.5217895507812,737.260009765625,737.4199829101562,102317 +2026-07-23 19:22:00+00:00,737.4299926757812,737.5599975585938,737.260009765625,737.3400268554688,75313 +2026-07-23 19:23:00+00:00,737.3099975585938,737.489990234375,737.2999877929688,737.4500122070312,56731 +2026-07-23 19:24:00+00:00,737.469970703125,737.6300048828125,737.4199829101562,737.6199951171875,41650 +2026-07-23 19:25:00+00:00,737.6199951171875,737.9000244140625,737.6099853515625,737.760009765625,107465 +2026-07-23 19:26:00+00:00,737.75,737.8300170898438,737.6500244140625,737.7109985351562,196121 +2026-07-23 19:27:00+00:00,737.719970703125,737.8699951171875,737.6199951171875,737.72998046875,82618 +2026-07-23 19:28:00+00:00,737.72998046875,737.8250122070312,737.4000244140625,737.4299926757812,62376 +2026-07-23 19:29:00+00:00,737.4349975585938,737.5,737.3200073242188,737.47998046875,45235 +2026-07-23 19:30:00+00:00,737.489990234375,737.739990234375,737.3900146484375,737.6099853515625,95196 +2026-07-23 19:31:00+00:00,737.6099853515625,737.6099853515625,736.989990234375,737.010009765625,95384 +2026-07-23 19:32:00+00:00,737.010009765625,737.1699829101562,736.9299926757812,736.9600219726562,120216 +2026-07-23 19:33:00+00:00,736.9500122070312,737.0800170898438,736.6799926757812,736.9299926757812,117847 +2026-07-23 19:34:00+00:00,736.9400024414062,737.280029296875,736.9398803710938,737.1500244140625,151988 +2026-07-23 19:35:00+00:00,737.14501953125,737.219970703125,736.989990234375,737.010009765625,230150 +2026-07-23 19:36:00+00:00,737.0,737.0499877929688,736.8350219726562,737.0250244140625,105436 +2026-07-23 19:37:00+00:00,737.02001953125,737.1600952148438,736.9600219726562,737.0499267578125,95389 +2026-07-23 19:38:00+00:00,737.0399780273438,737.1400146484375,736.8300170898438,736.8599853515625,108325 +2026-07-23 19:39:00+00:00,736.8499755859375,737.0399780273438,736.8499755859375,736.8900146484375,163027 +2026-07-23 19:40:00+00:00,736.8699951171875,736.97998046875,736.7949829101562,736.8300170898438,105155 +2026-07-23 19:41:00+00:00,736.8200073242188,736.8200073242188,736.6400146484375,736.7750244140625,89811 +2026-07-23 19:42:00+00:00,736.77001953125,736.7999877929688,736.3900146484375,736.4099731445312,188086 +2026-07-23 19:43:00+00:00,736.4000244140625,736.47998046875,736.27001953125,736.4500122070312,209915 +2026-07-23 19:44:00+00:00,736.4500122070312,736.4550170898438,736.25,736.25,1161303 +2026-07-23 19:45:00+00:00,736.260009765625,736.4000244140625,736.1828002929688,736.22998046875,203675 +2026-07-23 19:46:00+00:00,736.239990234375,736.280029296875,735.97998046875,736.0,118191 +2026-07-23 19:47:00+00:00,736.010009765625,736.2899780273438,735.8699951171875,736.1500244140625,145970 +2026-07-23 19:48:00+00:00,736.1500244140625,736.2100219726562,735.9600219726562,735.97998046875,221303 +2026-07-23 19:49:00+00:00,735.97998046875,736.030029296875,735.719970703125,735.9249877929688,299819 +2026-07-23 19:50:00+00:00,735.9299926757812,736.97998046875,735.9299926757812,736.780029296875,865598 +2026-07-23 19:51:00+00:00,736.7849731445312,736.8400268554688,736.4400024414062,736.8099975585938,310721 +2026-07-23 19:52:00+00:00,736.8099975585938,736.8900146484375,736.4400024414062,736.5999755859375,162034 +2026-07-23 19:53:00+00:00,736.5999755859375,736.6099853515625,736.219970703125,736.3400268554688,329953 +2026-07-23 19:54:00+00:00,736.3400268554688,736.72998046875,736.2000122070312,736.7100219726562,769102 +2026-07-23 19:55:00+00:00,736.72998046875,737.5499877929688,736.72998046875,737.5349731445312,660955 +2026-07-23 19:56:00+00:00,737.530029296875,737.6599731445312,737.4248046875,737.6199951171875,650487 +2026-07-23 19:57:00+00:00,737.6199951171875,738.0850219726562,737.5900268554688,738.0405883789062,1111449 +2026-07-23 19:58:00+00:00,738.0599975585938,738.530029296875,738.0499877929688,738.4400024414062,1175226 +2026-07-23 19:59:00+00:00,738.4400024414062,738.6400146484375,738.0499877929688,738.1699829101562,1515683 +2026-07-24 13:30:00+00:00,738.510009765625,739.0499877929688,738.4600219726562,738.7750244140625,1021021 +2026-07-24 13:31:00+00:00,738.7899780273438,738.9000244140625,738.4199829101562,738.7999877929688,179421 +2026-07-24 13:32:00+00:00,738.8099975585938,739.4000244140625,738.7899780273438,739.1799926757812,105626 +2026-07-24 13:33:00+00:00,739.1500244140625,739.5,738.97998046875,739.0700073242188,107151 +2026-07-24 13:34:00+00:00,739.1199951171875,739.3499755859375,739.0900268554688,739.277099609375,53894 +2026-07-24 13:35:00+00:00,739.2899780273438,739.6500244140625,739.239990234375,739.369873046875,98452 +2026-07-24 13:36:00+00:00,739.3200073242188,739.3200073242188,738.8800048828125,738.969970703125,110745 +2026-07-24 13:37:00+00:00,738.97998046875,739.5999755859375,738.97998046875,739.530029296875,81382 +2026-07-24 13:38:00+00:00,739.5499877929688,739.6599731445312,739.280029296875,739.2899780273438,70641 +2026-07-24 13:39:00+00:00,739.27001953125,739.27001953125,739.010009765625,739.1099853515625,53885 +2026-07-24 13:40:00+00:00,739.0999755859375,739.1400146484375,738.7899780273438,738.9199829101562,135465 +2026-07-24 13:41:00+00:00,738.9600219726562,739.1400756835938,738.8599853515625,738.97802734375,62156 +2026-07-24 13:42:00+00:00,739.0,739.0599975585938,738.6699829101562,738.8499755859375,84769 +2026-07-24 13:43:00+00:00,738.844970703125,738.9299926757812,738.719970703125,738.780029296875,55987 +2026-07-24 13:44:00+00:00,738.77001953125,738.905029296875,738.6599731445312,738.8101196289062,68251 +2026-07-24 13:45:00+00:00,738.8099975585938,739.0800170898438,738.5700073242188,738.9724731445312,76838 +2026-07-24 13:46:00+00:00,738.989990234375,739.3200073242188,738.8200073242188,739.3150024414062,97305 +2026-07-24 13:47:00+00:00,739.3049926757812,739.5750122070312,739.219970703125,739.4349975585938,136096 +2026-07-24 13:48:00+00:00,739.4500122070312,739.6900024414062,739.3300170898438,739.509521484375,83168 +2026-07-24 13:49:00+00:00,739.5,739.8800048828125,739.5,739.8200073242188,89121 +2026-07-24 13:50:00+00:00,739.8099975585938,739.8099975585938,738.5599975585938,738.9600219726562,200465 +2026-07-24 13:51:00+00:00,738.9760131835938,739.0399780273438,738.2000122070312,738.2999877929688,167974 +2026-07-24 13:52:00+00:00,738.2899780273438,738.3200073242188,737.9000244140625,738.030029296875,158671 +2026-07-24 13:53:00+00:00,738.02001953125,738.1099853515625,737.8499755859375,737.8599853515625,104877 +2026-07-24 13:54:00+00:00,737.8599243164062,737.989990234375,737.6900024414062,737.8400268554688,126629 +2026-07-24 13:55:00+00:00,737.8300170898438,737.8699951171875,737.4299926757812,737.5399780273438,100982 +2026-07-24 13:56:00+00:00,737.5499877929688,737.9199829101562,737.4500122070312,737.6500244140625,123485 +2026-07-24 13:57:00+00:00,737.6699829101562,737.9500122070312,737.5800170898438,737.77001953125,108745 +2026-07-24 13:58:00+00:00,737.8200073242188,738.2000122070312,737.760009765625,737.9550170898438,86869 +2026-07-24 13:59:00+00:00,737.9400024414062,737.989990234375,737.5,737.530029296875,60194 +2026-07-24 14:00:00+00:00,738.1099853515625,738.2000122070312,738.0900268554688,738.1998901367188,168498 +2026-07-24 14:01:00+00:00,738.2000122070312,738.3699951171875,737.8900146484375,738.1400146484375,274854 +2026-07-24 14:02:00+00:00,738.1400146484375,738.6701049804688,738.1400146484375,738.260009765625,161117 +2026-07-24 14:03:00+00:00,738.280029296875,738.4600219726562,737.8699951171875,738.4251098632812,94285 +2026-07-24 14:04:00+00:00,738.4299926757812,738.530029296875,737.6799926757812,737.7440185546875,78313 +2026-07-24 14:05:00+00:00,737.7899780273438,738.22998046875,737.6799926757812,738.1300048828125,84187 +2026-07-24 14:06:00+00:00,738.1099853515625,738.22998046875,737.5700073242188,738.02001953125,149510 +2026-07-24 14:07:00+00:00,737.9949951171875,738.4299926757812,737.8400268554688,738.2999877929688,79217 +2026-07-24 14:08:00+00:00,738.3099975585938,739.0399780273438,738.260009765625,739.0,82865 +2026-07-24 14:09:00+00:00,739.0150146484375,739.489990234375,738.89501953125,739.2999877929688,93955 +2026-07-24 14:10:00+00:00,739.2650146484375,739.4400024414062,739.0900268554688,739.4099731445312,80772 +2026-07-24 14:11:00+00:00,739.39501953125,739.4749755859375,739.22998046875,739.280029296875,74304 +2026-07-24 14:12:00+00:00,739.260009765625,739.3699951171875,738.875,738.9400024414062,77990 +2026-07-24 14:13:00+00:00,738.9400024414062,739.4199829101562,738.8250122070312,739.3200073242188,121374 +2026-07-24 14:14:00+00:00,739.3400268554688,739.905029296875,739.3099975585938,739.5394897460938,578501 +2026-07-24 14:15:00+00:00,739.5399780273438,739.7100219726562,739.0999755859375,739.0999755859375,81199 +2026-07-24 14:16:00+00:00,739.10498046875,739.2100219726562,738.8499755859375,739.0700073242188,145289 +2026-07-24 14:17:00+00:00,739.0700073242188,739.0800170898438,738.2999877929688,738.6199951171875,167790 +2026-07-24 14:18:00+00:00,738.5900268554688,738.8400268554688,738.2249755859375,738.2454833984375,103744 +2026-07-24 14:19:00+00:00,738.239990234375,738.5499877929688,738.0,738.5349731445312,495902 +2026-07-24 14:20:00+00:00,738.530029296875,738.7000122070312,738.1599731445312,738.6400146484375,64100 +2026-07-24 14:21:00+00:00,738.6300048828125,739.3499755859375,738.5399780273438,739.25,95239 +2026-07-24 14:22:00+00:00,739.22998046875,739.5499877929688,739.2100219726562,739.3599853515625,70392 +2026-07-24 14:23:00+00:00,739.364990234375,739.9500122070312,739.3599853515625,739.8099975585938,95067 +2026-07-24 14:24:00+00:00,739.7999877929688,739.8200073242188,739.4299926757812,739.5399780273438,76488 +2026-07-24 14:25:00+00:00,739.5599975585938,739.6599731445312,739.1099853515625,739.3300170898438,82811 +2026-07-24 14:26:00+00:00,739.3499755859375,739.6300048828125,739.2100219726562,739.4600219726562,62137 +2026-07-24 14:27:00+00:00,739.4600219726562,739.719970703125,738.969970703125,739.1300048828125,152107 +2026-07-24 14:28:00+00:00,739.1199951171875,739.4000244140625,739.030029296875,739.2899780273438,54625 +2026-07-24 14:29:00+00:00,739.2899780273438,739.489990234375,739.1799926757812,739.1799926757812,38669 +2026-07-24 14:30:00+00:00,739.1900024414062,739.22998046875,738.5800170898438,738.77001953125,98010 +2026-07-24 14:31:00+00:00,738.760009765625,739.0349731445312,738.6702880859375,739.02001953125,83553 +2026-07-24 14:32:00+00:00,739.02001953125,739.0399780273438,738.6400146484375,738.719970703125,66875 +2026-07-24 14:33:00+00:00,738.72998046875,738.969970703125,738.6099853515625,738.7150268554688,61182 +2026-07-24 14:34:00+00:00,738.7100219726562,738.8200073242188,738.3300170898438,738.3400268554688,103060 +2026-07-24 14:35:00+00:00,738.3350219726562,738.7899780273438,738.280029296875,738.7098999023438,93914 +2026-07-24 14:36:00+00:00,738.7100219726562,738.8200073242188,738.510009765625,738.5100708007812,45450 +2026-07-24 14:37:00+00:00,738.510009765625,738.635009765625,738.4000244140625,738.4099731445312,42385 +2026-07-24 14:38:00+00:00,738.4199829101562,738.6199951171875,738.3800048828125,738.3900146484375,42339 +2026-07-24 14:39:00+00:00,738.3900146484375,738.5399780273438,737.9099731445312,738.0599975585938,107475 +2026-07-24 14:40:00+00:00,738.030029296875,738.3499755859375,737.9000244140625,738.219970703125,357048 +2026-07-24 14:41:00+00:00,738.2100219726562,738.3400268554688,737.9400024414062,738.1599731445312,84961 +2026-07-24 14:42:00+00:00,738.1599731445312,738.27001953125,737.8400268554688,737.9749755859375,108561 +2026-07-24 14:43:00+00:00,737.969970703125,738.135009765625,737.9000244140625,738.030029296875,52516 +2026-07-24 14:44:00+00:00,738.0349731445312,738.3200073242188,737.8499755859375,737.905029296875,64795 +2026-07-24 14:45:00+00:00,737.8900146484375,737.9299926757812,737.52001953125,737.530029296875,46118 +2026-07-24 14:46:00+00:00,737.5299072265625,738.0700073242188,737.4299926757812,738.0700073242188,108975 +2026-07-24 14:47:00+00:00,738.0223999023438,738.260009765625,737.5700073242188,737.719970703125,66126 +2026-07-24 14:48:00+00:00,737.719970703125,737.905029296875,737.719970703125,737.9000244140625,41570 +2026-07-24 14:49:00+00:00,737.8900146484375,738.5499877929688,737.8624267578125,738.530029296875,78524 +2026-07-24 14:50:00+00:00,738.5349731445312,739.0900268554688,738.530029296875,739.0800170898438,91245 +2026-07-24 14:51:00+00:00,739.0700073242188,739.2800903320312,738.9500122070312,739.18798828125,79475 +2026-07-24 14:52:00+00:00,739.1699829101562,739.2899780273438,738.6749877929688,738.7150268554688,103196 +2026-07-24 14:53:00+00:00,738.7100219726562,739.3200073242188,738.6400146484375,739.2000122070312,57574 +2026-07-24 14:54:00+00:00,739.1900024414062,739.2490234375,738.6799926757812,739.010009765625,37121 +2026-07-24 14:55:00+00:00,739.010009765625,739.4400024414062,739.010009765625,739.385009765625,54816 +2026-07-24 14:56:00+00:00,739.3699951171875,739.5250244140625,739.2501220703125,739.511474609375,59520 +2026-07-24 14:57:00+00:00,739.5399780273438,740.1199951171875,739.530029296875,740.02001953125,131761 +2026-07-24 14:58:00+00:00,740.0399780273438,740.4199829101562,739.8400268554688,740.4199829101562,86269 +2026-07-24 14:59:00+00:00,740.4249877929688,740.7000122070312,740.4099731445312,740.5900268554688,125459 +2026-07-24 15:00:00+00:00,740.5900268554688,740.8699951171875,740.3300170898438,740.8599853515625,140844 +2026-07-24 15:01:00+00:00,740.8599853515625,740.9600219726562,740.4199829101562,740.47998046875,88745 +2026-07-24 15:02:00+00:00,740.4600219726562,740.5399780273438,740.25,740.489990234375,733902 +2026-07-24 15:03:00+00:00,740.47998046875,740.5651245117188,740.2899780273438,740.3900146484375,46952 +2026-07-24 15:04:00+00:00,740.4000244140625,740.469970703125,740.2100219726562,740.239990234375,56540 +2026-07-24 15:05:00+00:00,740.22998046875,740.489990234375,740.2150268554688,740.4099731445312,50927 +2026-07-24 15:06:00+00:00,740.3900146484375,740.5349731445312,740.0900268554688,740.0999755859375,65997 +2026-07-24 15:07:00+00:00,740.0900268554688,740.22998046875,739.8400268554688,740.2210083007812,46087 +2026-07-24 15:08:00+00:00,740.22998046875,740.6400146484375,740.1699829101562,740.25,88566 +2026-07-24 15:09:00+00:00,740.25,740.3400268554688,739.6599731445312,739.6998901367188,58852 +2026-07-24 15:10:00+00:00,739.6900024414062,740.9099731445312,739.5800170898438,740.72998046875,190134 +2026-07-24 15:11:00+00:00,740.6699829101562,741.8499755859375,740.6300048828125,740.9099731445312,229653 +2026-07-24 15:12:00+00:00,740.9249877929688,741.280029296875,740.9000244140625,740.9650268554688,85513 +2026-07-24 15:13:00+00:00,740.9600219726562,741.0700073242188,740.77001953125,740.864990234375,121407 +2026-07-24 15:14:00+00:00,740.8499755859375,742.1699829101562,740.8300170898438,741.8800048828125,146031 +2026-07-24 15:15:00+00:00,741.8599853515625,743.0,741.7100219726562,742.8099975585938,346095 +2026-07-24 15:16:00+00:00,742.780029296875,743.0,742.1900024414062,742.1900024414062,149224 +2026-07-24 15:17:00+00:00,742.1900024414062,742.4249877929688,741.8400268554688,741.8599853515625,109968 +2026-07-24 15:18:00+00:00,741.89501953125,742.2166137695312,741.6300048828125,741.8300170898438,59492 +2026-07-24 15:19:00+00:00,741.8200073242188,742.0,741.3400268554688,741.4774780273438,71392 +2026-07-24 15:20:00+00:00,741.4949951171875,742.27001953125,741.4099731445312,742.0399780273438,130599 +2026-07-24 15:21:00+00:00,742.0050048828125,742.2999877929688,742.0,742.2100219726562,65649 +2026-07-24 15:22:00+00:00,742.2000122070312,742.4072875976562,742.114990234375,742.2150268554688,86327 +2026-07-24 15:23:00+00:00,742.1900024414062,742.6500244140625,742.1799926757812,742.5,59237 +2026-07-24 15:24:00+00:00,742.5050048828125,742.6199951171875,742.3300170898438,742.3699951171875,111990 +2026-07-24 15:25:00+00:00,742.39501953125,742.6400146484375,742.3300170898438,742.6400146484375,39269 +2026-07-24 15:26:00+00:00,742.6699829101562,742.7899780273438,742.5499877929688,742.5499877929688,41614 +2026-07-24 15:27:00+00:00,742.5499877929688,742.9000244140625,742.5499877929688,742.7800903320312,55091 +2026-07-24 15:28:00+00:00,742.85498046875,743.1300048828125,742.7899780273438,742.7899780273438,83556 +2026-07-24 15:29:00+00:00,742.8099975585938,742.8699951171875,742.4998779296875,742.6099853515625,193759 +2026-07-24 15:30:00+00:00,742.5999755859375,742.6527099609375,742.3499755859375,742.5900268554688,75824 +2026-07-24 15:31:00+00:00,742.5900268554688,742.9000244140625,742.5900268554688,742.7899780273438,37277 +2026-07-24 15:32:00+00:00,742.780029296875,742.8300170898438,742.3699951171875,742.3699951171875,41655 +2026-07-24 15:33:00+00:00,742.3599853515625,742.530029296875,742.219970703125,742.2999877929688,34366 +2026-07-24 15:34:00+00:00,742.2999877929688,742.4600219726562,742.0499877929688,742.0800170898438,53474 +2026-07-24 15:35:00+00:00,742.0449829101562,742.4500122070312,742.030029296875,742.4299926757812,54886 +2026-07-24 15:36:00+00:00,742.4600219726562,742.5900268554688,742.27001953125,742.5800170898438,51252 +2026-07-24 15:37:00+00:00,742.5800170898438,742.7100219726562,742.1900024414062,742.6849975585938,46488 +2026-07-24 15:38:00+00:00,742.6749877929688,743.030029296875,742.6500244140625,743.0,36618 +2026-07-24 15:39:00+00:00,742.989990234375,743.1580200195312,742.969970703125,743.0700073242188,128879 +2026-07-24 15:40:00+00:00,743.0599975585938,743.25,743.010009765625,743.010009765625,52817 +2026-07-24 15:41:00+00:00,743.02001953125,743.030029296875,742.5499877929688,742.6699829101562,87971 +2026-07-24 15:42:00+00:00,742.6400756835938,742.760009765625,742.4099731445312,742.52001953125,45879 +2026-07-24 15:43:00+00:00,742.5399780273438,742.6300048828125,742.0289916992188,742.1799926757812,57674 +2026-07-24 15:44:00+00:00,742.1799926757812,742.4400024414062,742.1799926757812,742.2899780273438,28697 +2026-07-24 15:45:00+00:00,742.2899780273438,742.6500244140625,742.27001953125,742.4600219726562,52097 +2026-07-24 15:46:00+00:00,742.5,742.6199951171875,742.4149780273438,742.4149780273438,32796 +2026-07-24 15:47:00+00:00,742.4199829101562,742.5800170898438,742.1799926757812,742.239990234375,32871 +2026-07-24 15:48:00+00:00,742.239990234375,742.3800048828125,742.0,742.3499755859375,64285 +2026-07-24 15:49:00+00:00,742.3400268554688,742.3447875976562,742.0599975585938,742.1300048828125,33828 +2026-07-24 15:50:00+00:00,742.135009765625,742.6900024414062,742.1300048828125,742.6599731445312,82812 +2026-07-24 15:51:00+00:00,742.6599731445312,742.7899780273438,742.4299926757812,742.4400024414062,39612 +2026-07-24 15:52:00+00:00,742.4401245117188,742.5650024414062,742.1900024414062,742.280029296875,69037 +2026-07-24 15:53:00+00:00,742.280029296875,742.5900268554688,742.1799926757812,742.5900268554688,127379 +2026-07-24 15:54:00+00:00,742.5999755859375,742.72998046875,742.47998046875,742.5599975585938,33100 +2026-07-24 15:55:00+00:00,742.5599975585938,742.7899780273438,742.52001953125,742.6300048828125,143692 +2026-07-24 15:56:00+00:00,742.6500244140625,742.9000244140625,742.6400146484375,742.8524780273438,41194 +2026-07-24 15:57:00+00:00,742.8499755859375,742.9500122070312,742.7501220703125,742.760009765625,49796 +2026-07-24 15:58:00+00:00,742.739990234375,743.0,742.6500244140625,742.9400024414062,30838 +2026-07-24 15:59:00+00:00,742.9400024414062,743.1099853515625,742.9099731445312,743.0150146484375,45130 +2026-07-24 16:00:00+00:00,743.0399780273438,743.0800170898438,742.6799926757812,742.72998046875,510010 +2026-07-24 16:01:00+00:00,742.72998046875,742.8599853515625,742.6400146484375,742.844970703125,51961 +2026-07-24 16:02:00+00:00,742.8099975585938,742.8900146484375,742.739990234375,742.8499755859375,38256 +2026-07-24 16:03:00+00:00,742.8300170898438,743.0150146484375,742.8099975585938,742.97998046875,28533 +2026-07-24 16:04:00+00:00,742.969970703125,743.239990234375,742.9600219726562,743.2100219726562,38786 +2026-07-24 16:05:00+00:00,743.2000122070312,743.2899780273438,743.10498046875,743.1699829101562,51175 +2026-07-24 16:06:00+00:00,743.1900024414062,743.239990234375,742.9949951171875,742.9949951171875,234162 +2026-07-24 16:07:00+00:00,743.010009765625,743.52001953125,742.9400024414062,743.4849853515625,81608 +2026-07-24 16:08:00+00:00,743.47998046875,743.5499877929688,743.2999877929688,743.3400268554688,41375 +2026-07-24 16:09:00+00:00,743.3499755859375,743.4099731445312,743.260009765625,743.280029296875,45937 +2026-07-24 16:10:00+00:00,743.2999877929688,743.719970703125,743.27001953125,743.6900024414062,74715 +2026-07-24 16:11:00+00:00,743.7050170898438,743.719970703125,743.4000244140625,743.4199829101562,65061 +2026-07-24 16:12:00+00:00,743.4099731445312,743.5615844726562,743.2899780273438,743.2899780273438,62073 +2026-07-24 16:13:00+00:00,743.2899780273438,743.3400268554688,742.8900146484375,742.998291015625,80541 +2026-07-24 16:14:00+00:00,742.989990234375,743.0900268554688,742.8499755859375,742.969970703125,58013 +2026-07-24 16:15:00+00:00,743.0,743.0399780273438,742.8099975585938,742.9400024414062,55156 +2026-07-24 16:16:00+00:00,742.9662475585938,743.0999755859375,742.8699951171875,742.97998046875,38338 +2026-07-24 16:17:00+00:00,742.989990234375,743.030029296875,742.8900146484375,742.9600219726562,30981 +2026-07-24 16:18:00+00:00,742.9600219726562,743.22998046875,742.9199829101562,743.1300048828125,62643 +2026-07-24 16:19:00+00:00,743.1099853515625,743.3200073242188,743.0700073242188,743.1347045898438,68435 +2026-07-24 16:20:00+00:00,743.1448974609375,743.4400024414062,743.1300048828125,743.4199829101562,80586 +2026-07-24 16:21:00+00:00,743.4249877929688,743.4500122070312,743.0999755859375,743.22998046875,40898 +2026-07-24 16:22:00+00:00,743.25,743.5,743.1900024414062,743.4650268554688,21272 +2026-07-24 16:23:00+00:00,743.47998046875,743.47998046875,743.3300170898438,743.3800048828125,31315 +2026-07-24 16:24:00+00:00,743.3499755859375,743.4400024414062,743.239990234375,743.3599243164062,26846 +2026-07-24 16:25:00+00:00,743.3599853515625,743.489990234375,743.25,743.47998046875,22541 +2026-07-24 16:26:00+00:00,743.489990234375,743.52001953125,743.4000244140625,743.5,18476 +2026-07-24 16:27:00+00:00,743.489990234375,743.5700073242188,743.3499755859375,743.3499755859375,37353 +2026-07-24 16:28:00+00:00,743.3699951171875,743.4299926757812,743.2999877929688,743.3300170898438,40882 +2026-07-24 16:29:00+00:00,743.3099975585938,743.3699951171875,743.1799926757812,743.1900024414062,58985 +2026-07-24 16:30:00+00:00,743.1699829101562,743.1900024414062,742.489990234375,742.6799926757812,159977 +2026-07-24 16:31:00+00:00,742.7098999023438,742.7899780273438,742.5599975585938,742.6649780273438,74597 +2026-07-24 16:32:00+00:00,742.6900024414062,742.77001953125,742.469970703125,742.6400146484375,59114 +2026-07-24 16:33:00+00:00,742.6199951171875,742.7100219726562,742.3599853515625,742.4299926757812,53024 +2026-07-24 16:34:00+00:00,742.4299926757812,742.6599731445312,742.3900146484375,742.5,43595 +2026-07-24 16:35:00+00:00,742.5150146484375,742.6699829101562,742.4100952148438,742.5599975585938,51521 +2026-07-24 16:36:00+00:00,742.5700073242188,742.739990234375,742.5,742.5399780273438,50081 +2026-07-24 16:37:00+00:00,742.5499877929688,742.6599731445312,742.3800048828125,742.6300048828125,17736 +2026-07-24 16:38:00+00:00,742.6199951171875,742.6900024414062,742.260009765625,742.260009765625,53921 +2026-07-24 16:39:00+00:00,742.25,742.4199829101562,742.22998046875,742.27001953125,37238 +2026-07-24 16:40:00+00:00,742.260009765625,742.260009765625,742.030029296875,742.030029296875,32242 +2026-07-24 16:41:00+00:00,742.02001953125,742.0800170898438,741.9199829101562,742.0700073242188,53650 +2026-07-24 16:42:00+00:00,742.0499877929688,742.0900268554688,741.8200073242188,741.97998046875,48197 +2026-07-24 16:43:00+00:00,741.97998046875,742.0499877929688,741.72998046875,741.8400268554688,53081 +2026-07-24 16:44:00+00:00,741.8400268554688,741.8800048828125,741.6400146484375,741.6500244140625,48904 +2026-07-24 16:45:00+00:00,741.6400146484375,741.8099975585938,741.530029296875,741.780029296875,92038 +2026-07-24 16:46:00+00:00,741.75,741.780029296875,741.5399780273438,741.5399780273438,83358 +2026-07-24 16:47:00+00:00,741.5399780273438,741.6500244140625,741.2249755859375,741.25,56498 +2026-07-24 16:48:00+00:00,741.2449951171875,741.25,741.0499877929688,741.1500244140625,101113 +2026-07-24 16:49:00+00:00,741.1199951171875,741.260009765625,740.9500122070312,741.1898803710938,72406 +2026-07-24 16:50:00+00:00,741.1900024414062,741.25,741.0399780273438,741.1199951171875,40715 +2026-07-24 16:51:00+00:00,741.1199951171875,741.27001953125,741.0399780273438,741.1400146484375,96768 +2026-07-24 16:52:00+00:00,741.1799926757812,741.1900024414062,740.9400024414062,740.97998046875,52883 +2026-07-24 16:53:00+00:00,740.9500122070312,741.02001953125,740.739990234375,740.9199829101562,33536 +2026-07-24 16:54:00+00:00,740.9298706054688,741.260009765625,740.8901977539062,741.0700073242188,55624 +2026-07-24 16:55:00+00:00,741.0490112304688,741.3800048828125,740.8699951171875,741.2100219726562,45189 +2026-07-24 16:56:00+00:00,741.2399291992188,741.3200073242188,741.1199951171875,741.2899780273438,35842 +2026-07-24 16:57:00+00:00,741.281005859375,741.5399780273438,741.280029296875,741.530029296875,42358 +2026-07-24 16:58:00+00:00,741.5599975585938,741.760009765625,741.47998046875,741.6300048828125,35468 +2026-07-24 16:59:00+00:00,741.6199951171875,741.75,741.4400024414062,741.4500122070312,40504 +2026-07-24 17:00:00+00:00,741.469970703125,741.5999755859375,741.2802124023438,741.3499755859375,32671 +2026-07-24 17:01:00+00:00,741.3300170898438,741.3599853515625,741.02001953125,741.3499755859375,52805 +2026-07-24 17:02:00+00:00,741.3699951171875,741.3699951171875,741.1400146484375,741.1900024414062,35362 +2026-07-24 17:03:00+00:00,741.2000122070312,741.2899780273438,741.010009765625,741.1099853515625,26887 +2026-07-24 17:04:00+00:00,741.1199951171875,741.260009765625,741.0800170898438,741.1749877929688,34990 +2026-07-24 17:05:00+00:00,741.1699829101562,741.3300170898438,741.0999755859375,741.1900024414062,40472 +2026-07-24 17:06:00+00:00,741.2100219726562,741.25,740.489990234375,740.8900146484375,188713 +2026-07-24 17:07:00+00:00,740.830078125,740.8900146484375,740.6300048828125,740.6749877929688,52525 +2026-07-24 17:08:00+00:00,740.6500244140625,740.72998046875,740.3900146484375,740.5650024414062,68144 +2026-07-24 17:09:00+00:00,740.5449829101562,740.6500244140625,740.3800048828125,740.4182739257812,36686 +2026-07-24 17:10:00+00:00,740.4000244140625,740.639404296875,740.2301025390625,740.4901123046875,42456 +2026-07-24 17:11:00+00:00,740.47998046875,740.8300170898438,740.4600219726562,740.6799926757812,62986 +2026-07-24 17:12:00+00:00,740.7000122070312,740.9400024414062,740.6900024414062,740.760009765625,36543 +2026-07-24 17:13:00+00:00,740.77001953125,741.0,740.6799926757812,740.8400268554688,69740 +2026-07-24 17:14:00+00:00,740.8300170898438,741.0599975585938,740.8300170898438,740.9299926757812,43839 +2026-07-24 17:15:00+00:00,740.9500122070312,741.0604248046875,740.760009765625,740.760009765625,28483 +2026-07-24 17:16:00+00:00,740.8099975585938,740.8499755859375,740.6599731445312,740.760009765625,36207 +2026-07-24 17:17:00+00:00,740.780029296875,741.1699829101562,740.72998046875,741.1500244140625,46454 +2026-07-24 17:18:00+00:00,741.1699829101562,741.4099731445312,741.0499877929688,741.2789916992188,43899 +2026-07-24 17:19:00+00:00,741.280029296875,741.469970703125,741.219970703125,741.4099731445312,29082 +2026-07-24 17:20:00+00:00,741.41650390625,741.489990234375,741.27001953125,741.3099975585938,33144 +2026-07-24 17:21:00+00:00,741.3400268554688,741.47998046875,741.25,741.25,29217 +2026-07-24 17:22:00+00:00,741.27001953125,741.3699951171875,740.9072265625,741.010009765625,32248 +2026-07-24 17:23:00+00:00,741.0,741.1799926757812,740.9299926757812,740.969970703125,23556 +2026-07-24 17:24:00+00:00,740.97998046875,741.2999877929688,740.9099731445312,741.2999877929688,209367 +2026-07-24 17:25:00+00:00,741.2899780273438,741.3599853515625,740.989990234375,741.3099975585938,27313 +2026-07-24 17:26:00+00:00,741.3499755859375,741.5499877929688,741.3099975585938,741.52001953125,65826 +2026-07-24 17:27:00+00:00,741.5349731445312,741.7750244140625,741.510009765625,741.7249755859375,39030 +2026-07-24 17:28:00+00:00,741.719970703125,741.8400268554688,741.635009765625,741.6900024414062,35054 +2026-07-24 17:29:00+00:00,741.7100219726562,741.780029296875,741.5999755859375,741.7100219726562,29680 +2026-07-24 17:30:00+00:00,741.75,741.8400268554688,741.530029296875,741.7050170898438,38129 +2026-07-24 17:31:00+00:00,741.7000122070312,741.8770141601562,741.6099853515625,741.8099975585938,28210 +2026-07-24 17:32:00+00:00,741.8099975585938,741.8900146484375,741.6199951171875,741.7236938476562,20437 +2026-07-24 17:33:00+00:00,741.77001953125,741.97998046875,741.7000122070312,741.9340209960938,35847 +2026-07-24 17:34:00+00:00,741.9099731445312,742.169189453125,741.8800048828125,742.11181640625,33523 +2026-07-24 17:35:00+00:00,742.1099853515625,742.1199951171875,741.97998046875,742.0599975585938,34007 +2026-07-24 17:36:00+00:00,742.0399780273438,742.0999755859375,741.7999877929688,741.9099731445312,31682 +2026-07-24 17:37:00+00:00,741.9000244140625,741.905029296875,741.6099853515625,741.6599731445312,40721 +2026-07-24 17:38:00+00:00,741.6599731445312,741.7899780273438,741.5999755859375,741.7000122070312,23224 +2026-07-24 17:39:00+00:00,741.7100219726562,741.739990234375,741.4299926757812,741.510009765625,32818 +2026-07-24 17:40:00+00:00,741.52001953125,741.5399780273438,741.2899780273438,741.3300170898438,48665 +2026-07-24 17:41:00+00:00,741.3400268554688,741.344970703125,741.1300048828125,741.280029296875,32399 +2026-07-24 17:42:00+00:00,741.2999877929688,741.3400268554688,741.1599731445312,741.25,33956 +2026-07-24 17:43:00+00:00,741.22998046875,741.3056030273438,741.155029296875,741.1801147460938,32285 +2026-07-24 17:44:00+00:00,741.2100219726562,741.3499755859375,741.0700073242188,741.0800170898438,37379 +2026-07-24 17:45:00+00:00,741.0700073242188,741.1254272460938,740.9299926757812,741.0700073242188,36762 +2026-07-24 17:46:00+00:00,741.0399780273438,741.3298950195312,741.0399780273438,741.2750244140625,23560 +2026-07-24 17:47:00+00:00,741.260009765625,741.3900146484375,741.0900268554688,741.1099853515625,32204 +2026-07-24 17:48:00+00:00,741.1199951171875,741.1636962890625,740.9199829101562,741.0900268554688,41059 +2026-07-24 17:49:00+00:00,741.0700073242188,741.3300170898438,741.0499877929688,741.3099975585938,28596 +2026-07-24 17:50:00+00:00,741.3099975585938,741.4500122070312,741.2000122070312,741.4400024414062,34401 +2026-07-24 17:51:00+00:00,741.4500122070312,741.5349731445312,741.0599975585938,741.0900268554688,27501 +2026-07-24 17:52:00+00:00,741.0700073242188,741.1099853515625,740.969970703125,741.0599975585938,147998 +2026-07-24 17:53:00+00:00,741.155029296875,741.22998046875,741.0800170898438,741.1300048828125,35222 +2026-07-24 17:54:00+00:00,741.135009765625,741.2999877929688,741.0800170898438,741.27001953125,25539 +2026-07-24 17:55:00+00:00,741.2899780273438,741.3900146484375,741.1199951171875,741.1699829101562,21669 +2026-07-24 17:56:00+00:00,741.1699829101562,741.3599853515625,741.1199951171875,741.3200073242188,109014 +2026-07-24 17:57:00+00:00,741.2999877929688,741.2999877929688,741.0800170898438,741.1099853515625,45045 +2026-07-24 17:58:00+00:00,741.0999755859375,741.27001953125,741.0800170898438,741.1500244140625,39361 +2026-07-24 17:59:00+00:00,741.1500244140625,741.1900024414062,740.969970703125,740.97998046875,29410 +2026-07-24 18:00:00+00:00,740.989990234375,741.1900024414062,740.9299926757812,741.1699829101562,47308 +2026-07-24 18:01:00+00:00,741.2000122070312,741.2899780273438,740.9000244140625,740.9199829101562,37644 +2026-07-24 18:02:00+00:00,740.9099731445312,740.9600219726562,740.7899780273438,740.9099731445312,37300 +2026-07-24 18:03:00+00:00,740.9199829101562,740.9600219726562,740.77001953125,740.7999877929688,41041 +2026-07-24 18:04:00+00:00,740.780029296875,740.9400024414062,740.77001953125,740.8900146484375,25613 +2026-07-24 18:05:00+00:00,740.8800048828125,740.9299926757812,740.75,740.8800048828125,53307 +2026-07-24 18:06:00+00:00,740.8900146484375,741.0,740.8099975585938,740.8900146484375,182241 +2026-07-24 18:07:00+00:00,740.8599853515625,741.2000122070312,740.8599853515625,741.2000122070312,48396 +2026-07-24 18:08:00+00:00,741.2100219726562,741.27001953125,741.0599975585938,741.0599975585938,24174 +2026-07-24 18:09:00+00:00,741.0800170898438,741.2100219726562,740.9500122070312,740.969970703125,30556 +2026-07-24 18:10:00+00:00,741.02001953125,741.0750122070312,740.8099975585938,740.8599853515625,42690 +2026-07-24 18:11:00+00:00,740.8300170898438,740.8800048828125,740.6799926757812,740.7150268554688,48919 +2026-07-24 18:12:00+00:00,740.7100219726562,740.7399291992188,740.5449829101562,740.6500244140625,63412 +2026-07-24 18:13:00+00:00,740.6599731445312,740.75,740.5449829101562,740.5800170898438,49121 +2026-07-24 18:14:00+00:00,740.5499877929688,740.6849975585938,740.47998046875,740.5900268554688,53471 +2026-07-24 18:15:00+00:00,740.594970703125,740.594970703125,740.469970703125,740.5499877929688,182104 +2026-07-24 18:16:00+00:00,740.5599975585938,740.5999755859375,740.4400024414062,740.5449829101562,43100 +2026-07-24 18:17:00+00:00,740.5449829101562,740.6500244140625,740.47998046875,740.5,52567 +2026-07-24 18:18:00+00:00,740.489990234375,740.5499877929688,740.280029296875,740.489990234375,68769 +2026-07-24 18:19:00+00:00,740.5,740.5399169921875,740.1400146484375,740.22998046875,41298 +2026-07-24 18:20:00+00:00,740.1900024414062,740.2000122070312,739.9249877929688,739.9249877929688,52171 +2026-07-24 18:21:00+00:00,739.9349975585938,739.9949951171875,739.77001953125,739.8300170898438,90525 +2026-07-24 18:22:00+00:00,739.7999877929688,739.9500122070312,739.77001953125,739.8599853515625,199853 +2026-07-24 18:23:00+00:00,739.8599853515625,739.9400024414062,739.719970703125,739.9000244140625,51749 +2026-07-24 18:24:00+00:00,739.9000244140625,739.969970703125,739.77001953125,739.8099975585938,39281 +2026-07-24 18:25:00+00:00,739.7999877929688,739.8800048828125,739.426025390625,739.60498046875,65358 +2026-07-24 18:26:00+00:00,739.6099853515625,739.6300048828125,739.3699951171875,739.4299926757812,169088 +2026-07-24 18:27:00+00:00,739.4299926757812,739.5150146484375,739.280029296875,739.3300170898438,60761 +2026-07-24 18:28:00+00:00,739.3099975585938,739.3099975585938,739.1500244140625,739.1799926757812,92656 +2026-07-24 18:29:00+00:00,739.1799926757812,739.3499755859375,739.0,739.0349731445312,85311 +2026-07-24 18:30:00+00:00,739.0499877929688,739.1599731445312,738.969970703125,739.0,154176 +2026-07-24 18:31:00+00:00,739.0,739.02001953125,738.5700073242188,738.6900024414062,100485 +2026-07-24 18:32:00+00:00,738.6900024414062,738.8599853515625,738.6199951171875,738.6599731445312,85476 +2026-07-24 18:33:00+00:00,738.6599731445312,738.8098754882812,738.3099975585938,738.3699951171875,105561 +2026-07-24 18:34:00+00:00,738.3699951171875,738.4400024414062,738.0700073242188,738.173828125,147986 +2026-07-24 18:35:00+00:00,738.1900024414062,738.22998046875,737.8300170898438,738.155029296875,311490 +2026-07-24 18:36:00+00:00,738.1699829101562,738.6300048828125,738.1099853515625,738.25927734375,167736 +2026-07-24 18:37:00+00:00,738.239990234375,738.3900146484375,738.1300048828125,738.1599731445312,72851 +2026-07-24 18:38:00+00:00,738.1500244140625,738.5,738.0700073242188,738.4249877929688,194750 +2026-07-24 18:39:00+00:00,738.4199829101562,738.4299926757812,737.9299926757812,738.27001953125,132658 +2026-07-24 18:40:00+00:00,738.27001953125,738.27001953125,737.8200073242188,737.8400268554688,66415 +2026-07-24 18:41:00+00:00,737.8300170898438,738.0,737.75,737.75,103519 +2026-07-24 18:42:00+00:00,737.739990234375,737.9299926757812,737.6400146484375,737.8699951171875,127416 +2026-07-24 18:43:00+00:00,737.8900146484375,738.1300048828125,737.8400268554688,737.9500122070312,96230 +2026-07-24 18:44:00+00:00,737.969970703125,738.0800170898438,737.8099975585938,737.8499755859375,45493 +2026-07-24 18:45:00+00:00,737.8699951171875,738.39990234375,737.7899780273438,738.3699951171875,127464 +2026-07-24 18:46:00+00:00,738.385009765625,738.6900024414062,738.385009765625,738.4299926757812,103985 +2026-07-24 18:47:00+00:00,738.4400024414062,738.7000122070312,738.4201049804688,738.6199951171875,52791 +2026-07-24 18:48:00+00:00,738.6400146484375,738.6900024414062,738.26318359375,738.26318359375,49385 +2026-07-24 18:49:00+00:00,738.27001953125,738.3800048828125,738.219970703125,738.3099975585938,58734 +2026-07-24 18:50:00+00:00,738.2899780273438,738.4509887695312,738.030029296875,738.1849975585938,97736 +2026-07-24 18:51:00+00:00,738.1799926757812,738.5,738.1699829101562,738.2899780273438,53094 +2026-07-24 18:52:00+00:00,738.3300170898438,738.4199829101562,738.2100219726562,738.4099731445312,46320 +2026-07-24 18:53:00+00:00,738.4199829101562,738.469970703125,738.2100219726562,738.3599853515625,165075 +2026-07-24 18:54:00+00:00,738.3599853515625,738.3800048828125,738.0499877929688,738.2050170898438,54909 +2026-07-24 18:55:00+00:00,738.1900024414062,738.3699951171875,738.1400146484375,738.3599853515625,33336 +2026-07-24 18:56:00+00:00,738.3599853515625,738.6900024414062,738.27001953125,738.5999755859375,58467 +2026-07-24 18:57:00+00:00,738.5599975585938,738.7100219726562,738.5401000976562,738.5401000976562,82073 +2026-07-24 18:58:00+00:00,738.530029296875,738.6099853515625,738.3800048828125,738.40087890625,54269 +2026-07-24 18:59:00+00:00,738.4000244140625,738.5599975585938,738.3699951171875,738.3800048828125,74330 +2026-07-24 19:00:00+00:00,738.3900146484375,738.6199951171875,738.27001953125,738.530029296875,66606 +2026-07-24 19:01:00+00:00,738.5399780273438,738.89501953125,738.4500122070312,738.5800170898438,192344 +2026-07-24 19:02:00+00:00,738.5900268554688,738.6500244140625,738.2899780273438,738.3200073242188,198327 +2026-07-24 19:03:00+00:00,738.2999877929688,738.4000244140625,738.219970703125,738.280029296875,372975 +2026-07-24 19:04:00+00:00,738.2899780273438,738.4099731445312,738.2100219726562,738.280029296875,65446 +2026-07-24 19:05:00+00:00,738.25,738.5900268554688,738.1500244140625,738.5,76674 +2026-07-24 19:06:00+00:00,738.510009765625,738.6500244140625,738.25,738.27001953125,265383 +2026-07-24 19:07:00+00:00,738.239990234375,738.280029296875,737.7349853515625,737.7650146484375,142441 +2026-07-24 19:08:00+00:00,737.77001953125,737.9199829101562,737.7100219726562,737.8099975585938,88613 +2026-07-24 19:09:00+00:00,737.8093872070312,737.8300170898438,737.5599975585938,737.60498046875,206098 +2026-07-24 19:10:00+00:00,737.6099853515625,737.739990234375,737.469970703125,737.5800170898438,106907 +2026-07-24 19:11:00+00:00,737.5700073242188,737.719970703125,737.52001953125,737.6799926757812,187280 +2026-07-24 19:12:00+00:00,737.6900024414062,738.22998046875,737.6799926757812,737.9199829101562,149545 +2026-07-24 19:13:00+00:00,737.9199829101562,737.969970703125,737.77001953125,737.8400268554688,160871 +2026-07-24 19:14:00+00:00,737.8400268554688,737.8499755859375,737.5750122070312,737.5999755859375,101166 +2026-07-24 19:15:00+00:00,737.5999755859375,737.7100219726562,737.52001953125,737.5800170898438,104758 +2026-07-24 19:16:00+00:00,737.5499877929688,737.5999755859375,737.4099731445312,737.5499877929688,440142 +2026-07-24 19:17:00+00:00,737.5700073242188,737.780029296875,737.489990234375,737.6099853515625,293643 +2026-07-24 19:18:00+00:00,737.6099853515625,737.75,737.5499877929688,737.6500244140625,75017 +2026-07-24 19:19:00+00:00,737.6500244140625,737.8300170898438,737.5700073242188,737.7999877929688,122623 +2026-07-24 19:20:00+00:00,737.8200073242188,737.8200073242188,737.5800170898438,737.7349853515625,94568 +2026-07-24 19:21:00+00:00,737.7000122070312,737.989990234375,737.6599731445312,737.9249877929688,60169 +2026-07-24 19:22:00+00:00,737.9199829101562,738.02001953125,737.8200073242188,737.9000244140625,82731 +2026-07-24 19:23:00+00:00,737.89501953125,737.89501953125,737.6738891601562,737.719970703125,97674 +2026-07-24 19:24:00+00:00,737.719970703125,737.75,737.2899780273438,737.4299926757812,185881 +2026-07-24 19:25:00+00:00,737.4400024414062,737.5499877929688,737.2999877929688,737.4199829101562,89838 +2026-07-24 19:26:00+00:00,737.4099731445312,737.5399780273438,737.3599853515625,737.510009765625,80544 +2026-07-24 19:27:00+00:00,737.510009765625,737.8200073242188,737.5,737.5999755859375,96036 +2026-07-24 19:28:00+00:00,737.5800170898438,737.6799926757812,737.469970703125,737.6799926757812,75514 +2026-07-24 19:29:00+00:00,737.6900024414062,737.8699951171875,737.5800170898438,737.6500244140625,117099 +2026-07-24 19:30:00+00:00,737.719970703125,737.9199829101562,737.6599731445312,737.7899780273438,91520 +2026-07-24 19:31:00+00:00,737.7999877929688,738.030029296875,737.72998046875,737.9600219726562,98064 +2026-07-24 19:32:00+00:00,737.969970703125,738.2100219726562,737.9400024414062,738.1799926757812,193870 +2026-07-24 19:33:00+00:00,738.1699829101562,738.3599853515625,738.0399780273438,738.2000122070312,311431 +2026-07-24 19:34:00+00:00,738.1699829101562,738.3800048828125,738.0800170898438,738.0900268554688,127275 +2026-07-24 19:35:00+00:00,738.0800170898438,738.64501953125,737.989990234375,738.530029296875,221517 +2026-07-24 19:36:00+00:00,738.530029296875,738.6099243164062,738.1900024414062,738.2498779296875,363723 +2026-07-24 19:37:00+00:00,738.25,738.6599731445312,738.25,738.469970703125,131162 +2026-07-24 19:38:00+00:00,738.4600219726562,738.5599975585938,738.3699951171875,738.469970703125,261408 +2026-07-24 19:39:00+00:00,738.47998046875,738.5590209960938,738.0499877929688,738.1099853515625,96549 +2026-07-24 19:40:00+00:00,738.1099853515625,738.3400268554688,738.0599975585938,738.1900024414062,262874 +2026-07-24 19:41:00+00:00,738.1799926757812,738.1799926757812,737.9400024414062,738.0599975585938,178019 +2026-07-24 19:42:00+00:00,738.0399780273438,738.0900268554688,737.9199829101562,738.0399780273438,143762 +2026-07-24 19:43:00+00:00,738.0499877929688,738.1400146484375,737.7899780273438,738.0250244140625,75260 +2026-07-24 19:44:00+00:00,738.030029296875,738.3200073242188,737.9500122070312,738.280029296875,140827 +2026-07-24 19:45:00+00:00,738.2999877929688,738.4400024414062,737.9199829101562,737.9375,555144 +2026-07-24 19:46:00+00:00,737.9199829101562,737.989990234375,737.8200073242188,737.9000244140625,121071 +2026-07-24 19:47:00+00:00,737.9000244140625,738.0900268554688,737.8200073242188,737.8300170898438,112700 +2026-07-24 19:48:00+00:00,737.8300170898438,738.02001953125,737.77001953125,737.8300170898438,117785 +2026-07-24 19:49:00+00:00,737.8200073242188,738.3400268554688,737.75,738.3399047851562,162483 +2026-07-24 19:50:00+00:00,738.3400268554688,738.510009765625,737.8200073242188,737.8499755859375,285211 +2026-07-24 19:51:00+00:00,737.8499755859375,737.8599853515625,737.7000122070312,737.8099975585938,176622 +2026-07-24 19:52:00+00:00,737.7899780273438,737.8200073242188,737.6400146484375,737.8200073242188,149718 +2026-07-24 19:53:00+00:00,737.8200073242188,738.0499877929688,737.6900024414062,738.0,207431 +2026-07-24 19:54:00+00:00,738.0,738.5800170898438,737.9500122070312,738.469970703125,236127 +2026-07-24 19:55:00+00:00,738.489990234375,738.6099853515625,738.1400146484375,738.1400146484375,460704 +2026-07-24 19:56:00+00:00,738.1400146484375,738.3400268554688,738.0499877929688,738.239990234375,601145 +2026-07-24 19:57:00+00:00,738.239990234375,738.510009765625,738.1900024414062,738.4400024414062,921610 +2026-07-24 19:58:00+00:00,738.4450073242188,738.5599975585938,738.3400268554688,738.469970703125,604598 +2026-07-24 19:59:00+00:00,738.469970703125,739.0999755859375,738.1380004882812,738.8599853515625,1238279 +2026-07-24 20:00:00+00:00,738.9299926757812,738.9299926757812,738.9299926757812,738.9299926757812,0 diff --git a/data/cache/SPY_5m_1mo.csv b/data/cache/SPY_5m_1mo.csv new file mode 100644 index 0000000..f57531b --- /dev/null +++ b/data/cache/SPY_5m_1mo.csv @@ -0,0 +1,1640 @@ +timestamp,open,high,low,close,volume +2026-06-25 13:30:00+00:00,738.9099731445312,739.3699951171875,736.8599853515625,737.3399047851562,2290954 +2026-06-25 13:35:00+00:00,737.3099975585938,738.0250244140625,736.8800048828125,736.9600219726562,728645 +2026-06-25 13:40:00+00:00,736.989990234375,737.1165161132812,734.0401000976562,734.2899780273438,956280 +2026-06-25 13:45:00+00:00,734.2999877929688,734.7849731445312,731.5399780273438,732.889892578125,1504795 +2026-06-25 13:50:00+00:00,732.8900146484375,733.6599731445312,730.5,730.7000122070312,1122053 +2026-06-25 13:55:00+00:00,730.6599731445312,731.219970703125,729.5999755859375,729.8350219726562,1333328 +2026-06-25 14:00:00+00:00,729.8350219726562,733.530029296875,729.780029296875,733.239990234375,1285270 +2026-06-25 14:05:00+00:00,733.27001953125,735.030029296875,733.25,734.9099731445312,975194 +2026-06-25 14:10:00+00:00,734.9299926757812,735.8599853515625,734.0499877929688,734.1199951171875,942601 +2026-06-25 14:15:00+00:00,734.1300048828125,735.6699829101562,733.1799926757812,735.5599975585938,572213 +2026-06-25 14:20:00+00:00,735.5549926757812,736.5,734.510009765625,735.0,684376 +2026-06-25 14:25:00+00:00,735.010009765625,735.9199829101562,734.8099975585938,735.4749755859375,468631 +2026-06-25 14:30:00+00:00,735.4400024414062,737.0999755859375,735.3200073242188,736.3699951171875,690777 +2026-06-25 14:35:00+00:00,736.3800048828125,736.8400268554688,735.5899047851562,736.64501953125,389804 +2026-06-25 14:40:00+00:00,736.6699829101562,736.760009765625,734.77001953125,735.409912109375,511150 +2026-06-25 14:45:00+00:00,735.3900146484375,736.5900268554688,734.75,736.3499755859375,460281 +2026-06-25 14:50:00+00:00,736.3300170898438,737.8200073242188,736.02001953125,737.7999877929688,570673 +2026-06-25 14:55:00+00:00,737.72998046875,737.72998046875,735.030029296875,735.22998046875,682515 +2026-06-25 15:00:00+00:00,735.260009765625,736.22998046875,734.8599853515625,736.1599731445312,360286 +2026-06-25 15:05:00+00:00,736.1600952148438,736.52001953125,734.5,734.760009765625,573608 +2026-06-25 15:10:00+00:00,734.75,734.8900146484375,732.6199951171875,732.969970703125,759178 +2026-06-25 15:15:00+00:00,732.97998046875,733.875,731.8499755859375,733.6699829101562,869307 +2026-06-25 15:20:00+00:00,733.6400146484375,734.8499755859375,732.9500122070312,734.5100708007812,438640 +2026-06-25 15:25:00+00:00,734.510009765625,734.8599853515625,733.7811279296875,734.2899780273438,318833 +2026-06-25 15:30:00+00:00,734.2899780273438,735.4500122070312,734.0900268554688,734.2230834960938,363481 +2026-06-25 15:35:00+00:00,734.219970703125,734.9500122070312,734.1900024414062,734.2100219726562,262389 +2026-06-25 15:40:00+00:00,734.219970703125,734.8800048828125,733.9199829101562,734.77001953125,243193 +2026-06-25 15:45:00+00:00,734.75,735.7899780273438,734.3200073242188,734.448974609375,353941 +2026-06-25 15:50:00+00:00,734.4199829101562,734.963623046875,734.0800170898438,734.5999755859375,350497 +2026-06-25 15:55:00+00:00,734.5700073242188,734.9500122070312,734.0,734.1400146484375,312731 +2026-06-25 16:00:00+00:00,734.1599731445312,734.3900146484375,733.6699829101562,734.1500244140625,419773 +2026-06-25 16:05:00+00:00,734.1699829101562,735.4099731445312,733.9979858398438,735.3300170898438,313185 +2026-06-25 16:10:00+00:00,735.3300170898438,736.1799926757812,735.22998046875,735.6900024414062,275271 +2026-06-25 16:15:00+00:00,735.7100219726562,736.27001953125,735.4099731445312,735.5,459374 +2026-06-25 16:20:00+00:00,735.510009765625,735.760009765625,734.27001953125,734.4401245117188,231278 +2026-06-25 16:25:00+00:00,734.4450073242188,734.6199951171875,733.9400024414062,734.1900024414062,145748 +2026-06-25 16:30:00+00:00,734.2249755859375,734.2249755859375,732.969970703125,733.389892578125,270861 +2026-06-25 16:35:00+00:00,733.3474731445312,733.5900268554688,732.6599731445312,732.77001953125,236045 +2026-06-25 16:40:00+00:00,732.77001953125,732.9600219726562,732.114990234375,732.2899780273438,307419 +2026-06-25 16:45:00+00:00,732.2899780273438,732.9099731445312,731.5,732.7999877929688,483054 +2026-06-25 16:50:00+00:00,732.8099975585938,733.0900268554688,732.2816772460938,732.7000122070312,185405 +2026-06-25 16:55:00+00:00,732.72998046875,732.739990234375,732.0700073242188,732.5399780273438,263554 +2026-06-25 17:00:00+00:00,732.5599975585938,733.0198974609375,732.489990234375,732.5078125,272270 +2026-06-25 17:05:00+00:00,732.5,732.8099975585938,732.135009765625,732.7000122070312,170339 +2026-06-25 17:10:00+00:00,732.6900024414062,733.719970703125,732.6900024414062,733.219970703125,300186 +2026-06-25 17:15:00+00:00,733.22998046875,734.25,732.489990234375,732.510009765625,303872 +2026-06-25 17:20:00+00:00,732.52001953125,733.0700073242188,732.0800170898438,732.8900146484375,265270 +2026-06-25 17:25:00+00:00,732.9199829101562,733.6500244140625,732.8400268554688,733.260009765625,176168 +2026-06-25 17:30:00+00:00,733.27001953125,733.52001953125,732.6199951171875,732.9299926757812,473496 +2026-06-25 17:35:00+00:00,732.9299926757812,733.5499877929688,732.8599853515625,733.3400268554688,221327 +2026-06-25 17:40:00+00:00,733.3300170898438,733.7899780273438,732.52001953125,732.6300048828125,280614 +2026-06-25 17:45:00+00:00,732.64990234375,732.6500244140625,731.6599731445312,731.8599853515625,272022 +2026-06-25 17:50:00+00:00,731.8300170898438,732.7899780273438,731.5999755859375,732.5700073242188,1049173 +2026-06-25 17:55:00+00:00,732.5599975585938,733.5800170898438,732.3400268554688,733.4500122070312,277407 +2026-06-25 18:00:00+00:00,733.4400024414062,733.52001953125,731.3800048828125,731.9299926757812,684404 +2026-06-25 18:05:00+00:00,732.010009765625,733.5999755859375,731.72998046875,733.4249877929688,389947 +2026-06-25 18:10:00+00:00,733.4000244140625,733.989990234375,732.9000244140625,733.219970703125,290147 +2026-06-25 18:15:00+00:00,733.22998046875,735.3699951171875,732.969970703125,734.8200073242188,423139 +2026-06-25 18:20:00+00:00,734.8200073242188,735.1900024414062,734.2100219726562,734.9099731445312,545511 +2026-06-25 18:25:00+00:00,734.9099731445312,736.0599975585938,734.9000244140625,735.8400268554688,503430 +2026-06-25 18:30:00+00:00,735.8300170898438,735.8499755859375,733.9509887695312,734.02001953125,487104 +2026-06-25 18:35:00+00:00,734.02001953125,734.7100219726562,733.5999755859375,734.4600219726562,429100 +2026-06-25 18:40:00+00:00,734.4400024414062,734.489990234375,733.8400268554688,733.9249877929688,240605 +2026-06-25 18:45:00+00:00,733.9199829101562,733.9199829101562,732.6900024414062,733.5650024414062,472887 +2026-06-25 18:50:00+00:00,733.5599975585938,734.3499755859375,733.39501953125,733.6849975585938,225129 +2026-06-25 18:55:00+00:00,733.7000122070312,734.0900268554688,733.530029296875,733.8800048828125,557703 +2026-06-25 19:00:00+00:00,733.9299926757812,733.94140625,732.72998046875,733.0,278761 +2026-06-25 19:05:00+00:00,732.9600219726562,733.22998046875,732.77001953125,733.0900268554688,637429 +2026-06-25 19:10:00+00:00,733.0900268554688,733.2000122070312,732.3200073242188,732.3800048828125,802619 +2026-06-25 19:15:00+00:00,732.3699951171875,732.6199951171875,731.8699951171875,732.22998046875,600012 +2026-06-25 19:20:00+00:00,732.2501220703125,732.6500244140625,732.030029296875,732.6500244140625,473041 +2026-06-25 19:25:00+00:00,732.6500244140625,732.8499755859375,732.0512084960938,732.3923950195312,639433 +2026-06-25 19:30:00+00:00,732.3900146484375,732.5,731.760009765625,732.1500244140625,613613 +2026-06-25 19:35:00+00:00,732.1400146484375,732.1500244140625,731.6900024414062,732.0891723632812,1177683 +2026-06-25 19:40:00+00:00,732.0900268554688,732.3300170898438,731.5999755859375,731.9600219726562,706812 +2026-06-25 19:45:00+00:00,731.9760131835938,732.030029296875,731.3599853515625,731.7550048828125,1173970 +2026-06-25 19:50:00+00:00,731.760009765625,732.6099853515625,731.3300170898438,732.5399780273438,1067447 +2026-06-25 19:55:00+00:00,732.5599975585938,733.3800048828125,731.9400024414062,733.27001953125,3008874 +2026-06-26 13:30:00+00:00,728.9450073242188,729.6599731445312,726.8599853515625,727.8599853515625,2579437 +2026-06-26 13:35:00+00:00,727.8599853515625,729.1300048828125,727.5900268554688,728.1300048828125,774922 +2026-06-26 13:40:00+00:00,728.1099853515625,729.4299926757812,727.72998046875,729.239990234375,583008 +2026-06-26 13:45:00+00:00,729.239990234375,729.7999877929688,727.969970703125,728.7100219726562,691468 +2026-06-26 13:50:00+00:00,728.6500244140625,729.6500244140625,728.52001953125,729.3200073242188,529081 +2026-06-26 13:55:00+00:00,729.3900146484375,731.3099975585938,729.1900024414062,730.89501953125,791514 +2026-06-26 14:00:00+00:00,730.8699951171875,732.280029296875,730.6300048828125,732.1900024414062,962854 +2026-06-26 14:05:00+00:00,732.2000122070312,733.1500244140625,732.1300048828125,733.02001953125,670601 +2026-06-26 14:10:00+00:00,733.0001220703125,733.4400024414062,732.4000244140625,733.2000122070312,636854 +2026-06-26 14:15:00+00:00,733.1900024414062,733.5700073242188,732.4400024414062,732.6099853515625,625122 +2026-06-26 14:20:00+00:00,732.6099853515625,734.2424926757812,732.469970703125,733.4500122070312,590355 +2026-06-26 14:25:00+00:00,733.4400024414062,733.9400024414062,733.239990234375,733.489990234375,418348 +2026-06-26 14:30:00+00:00,733.489990234375,733.9199829101562,733.0260009765625,733.364990234375,437501 +2026-06-26 14:35:00+00:00,733.3800048828125,733.4199829101562,732.1199951171875,732.1799926757812,490183 +2026-06-26 14:40:00+00:00,732.1699829101562,733.0800170898438,731.6005249023438,732.1699829101562,719234 +2026-06-26 14:45:00+00:00,732.2000122070312,733.3800048828125,732.0499877929688,732.8800048828125,328567 +2026-06-26 14:50:00+00:00,732.9000244140625,733.22998046875,732.2301025390625,732.530029296875,324677 +2026-06-26 14:55:00+00:00,732.52001953125,732.9749755859375,731.8599853515625,732.4500122070312,330085 +2026-06-26 15:00:00+00:00,732.4600219726562,733.4000244140625,732.4400024414062,732.780029296875,275083 +2026-06-26 15:05:00+00:00,732.7999877929688,733.1599731445312,732.280029296875,733.0599975585938,311474 +2026-06-26 15:10:00+00:00,733.0599975585938,733.219970703125,731.9400024414062,732.0700073242188,325345 +2026-06-26 15:15:00+00:00,732.0800170898438,733.22998046875,731.6199951171875,733.0599975585938,422362 +2026-06-26 15:20:00+00:00,733.030029296875,733.8499755859375,732.8200073242188,733.7999877929688,459844 +2026-06-26 15:25:00+00:00,733.780029296875,734.6699829101562,733.6680297851562,734.6699829101562,572714 +2026-06-26 15:30:00+00:00,734.6699829101562,735.6099853515625,734.3699951171875,734.52001953125,485293 +2026-06-26 15:35:00+00:00,734.52001953125,735.9600219726562,734.52001953125,735.7518920898438,459799 +2026-06-26 15:40:00+00:00,735.7999877929688,736.530029296875,735.5399780273438,736.27001953125,1067168 +2026-06-26 15:45:00+00:00,736.260009765625,736.4600219726562,735.5449829101562,735.5700073242188,299213 +2026-06-26 15:50:00+00:00,735.5800170898438,736.0399780273438,734.1799926757812,734.5650024414062,702130 +2026-06-26 15:55:00+00:00,734.5499877929688,735.8699951171875,734.3800048828125,735.4000244140625,411465 +2026-06-26 16:00:00+00:00,735.4000244140625,735.52001953125,735.0900268554688,735.3300170898438,307618 +2026-06-26 16:05:00+00:00,735.3200073242188,735.4000244140625,734.1199951171875,734.25,493308 +2026-06-26 16:10:00+00:00,734.239990234375,734.489990234375,733.7999877929688,734.1199951171875,298964 +2026-06-26 16:15:00+00:00,734.1300048828125,734.6300048828125,733.780029296875,734.0,378112 +2026-06-26 16:20:00+00:00,734.010009765625,734.1400146484375,732.739990234375,733.239990234375,683169 +2026-06-26 16:25:00+00:00,733.239990234375,733.6400146484375,733.114990234375,733.4199829101562,248333 +2026-06-26 16:30:00+00:00,733.4000244140625,734.7000122070312,733.4000244140625,734.6300048828125,399655 +2026-06-26 16:35:00+00:00,734.6400146484375,734.780029296875,734.219970703125,734.3900146484375,387603 +2026-06-26 16:40:00+00:00,734.4199829101562,734.6400146484375,733.989990234375,734.030029296875,282984 +2026-06-26 16:45:00+00:00,734.0499877929688,734.3900146484375,733.8499755859375,734.35498046875,242152 +2026-06-26 16:50:00+00:00,734.3599853515625,734.9000244140625,734.280029296875,734.6099853515625,308567 +2026-06-26 16:55:00+00:00,734.5999755859375,734.5999755859375,734.25,734.469970703125,553633 +2026-06-26 17:00:00+00:00,734.47998046875,735.1898803710938,734.1699829101562,734.9299926757812,1072586 +2026-06-26 17:05:00+00:00,734.9349975585938,735.7899780273438,734.9099731445312,735.6500244140625,503894 +2026-06-26 17:10:00+00:00,735.6199951171875,735.8599853515625,734.9299926757812,735.0850219726562,269283 +2026-06-26 17:15:00+00:00,735.0999755859375,735.159912109375,734.2899780273438,734.4400024414062,312733 +2026-06-26 17:20:00+00:00,734.4500122070312,734.6199951171875,733.9600219726562,734.0499877929688,254430 +2026-06-26 17:25:00+00:00,734.0399780273438,734.97998046875,733.7899780273438,734.719970703125,299790 +2026-06-26 17:30:00+00:00,734.719970703125,735.3900146484375,734.4500122070312,734.6325073242188,607375 +2026-06-26 17:35:00+00:00,734.6199951171875,734.6300048828125,733.989990234375,734.0499877929688,210745 +2026-06-26 17:40:00+00:00,734.0499877929688,734.530029296875,733.6199951171875,734.260009765625,256537 +2026-06-26 17:45:00+00:00,734.260009765625,734.4099731445312,733.8400268554688,733.8599853515625,308354 +2026-06-26 17:50:00+00:00,733.8599853515625,734.3200073242188,733.7999877929688,734.0800170898438,490773 +2026-06-26 17:55:00+00:00,734.0599975585938,734.0900268554688,733.469970703125,733.6599731445312,257240 +2026-06-26 18:00:00+00:00,733.6900024414062,734.4000244140625,733.6300048828125,734.260009765625,425897 +2026-06-26 18:05:00+00:00,734.22998046875,734.5900268554688,734.0399780273438,734.1900024414062,414628 +2026-06-26 18:10:00+00:00,734.1500244140625,734.4349975585938,733.8599853515625,734.0399780273438,410104 +2026-06-26 18:15:00+00:00,734.0499877929688,734.219970703125,733.239990234375,733.4000244140625,401311 +2026-06-26 18:20:00+00:00,733.4000244140625,733.6699829101562,733.239990234375,733.5599975585938,362582 +2026-06-26 18:25:00+00:00,733.5499877929688,733.6699829101562,732.739990234375,732.8300170898438,523588 +2026-06-26 18:30:00+00:00,732.8300170898438,733.6699829101562,732.77001953125,733.4650268554688,500496 +2026-06-26 18:35:00+00:00,733.469970703125,733.47998046875,732.72998046875,732.8900146484375,653782 +2026-06-26 18:40:00+00:00,732.89501953125,733.1500244140625,732.7501220703125,732.77001953125,275589 +2026-06-26 18:45:00+00:00,732.8099975585938,732.8099975585938,731.760009765625,732.0299072265625,1343333 +2026-06-26 18:50:00+00:00,732.030029296875,732.1199951171875,731.6099853515625,731.7899780273438,705681 +2026-06-26 18:55:00+00:00,731.7899780273438,732.1300048828125,731.280029296875,731.6199951171875,642203 +2026-06-26 19:00:00+00:00,731.6300048828125,732.0999755859375,731.4299926757812,731.4600219726562,747871 +2026-06-26 19:05:00+00:00,731.4299926757812,732.47998046875,731.3300170898438,732.3499755859375,584108 +2026-06-26 19:10:00+00:00,732.3400268554688,732.7999877929688,732.0125122070312,732.7899780273438,743956 +2026-06-26 19:15:00+00:00,732.77001953125,732.989990234375,732.4400024414062,732.75,904491 +2026-06-26 19:20:00+00:00,732.75,732.8900146484375,731.780029296875,732.27001953125,666454 +2026-06-26 19:25:00+00:00,732.260986328125,732.47998046875,732.0999755859375,732.1900024414062,457110 +2026-06-26 19:30:00+00:00,732.2000122070312,732.8699951171875,731.760009765625,732.6699829101562,779885 +2026-06-26 19:35:00+00:00,732.6599731445312,732.8599853515625,732.280029296875,732.33251953125,923723 +2026-06-26 19:40:00+00:00,732.3300170898438,733.3499755859375,732.3099975585938,733.27001953125,602325 +2026-06-26 19:45:00+00:00,733.280029296875,733.8599853515625,732.7100219726562,733.0499877929688,1278652 +2026-06-26 19:50:00+00:00,733.0399780273438,733.6699829101562,732.5601196289062,733.1500244140625,1508906 +2026-06-26 19:55:00+00:00,733.1300048828125,733.5999755859375,716.5800170898438,729.0800170898438,6846621 +2026-06-29 13:30:00+00:00,736.5250244140625,738.760009765625,735.2999877929688,738.6799926757812,2570080 +2026-06-29 13:35:00+00:00,738.6699829101562,738.6799926757812,736.9299926757812,738.0299072265625,804156 +2026-06-29 13:40:00+00:00,738.010009765625,739.25,737.4400024414062,739.239990234375,641410 +2026-06-29 13:45:00+00:00,739.25,739.72998046875,738.7849731445312,738.8499755859375,956993 +2026-06-29 13:50:00+00:00,738.8499755859375,739.89501953125,738.3499755859375,738.9000244140625,575442 +2026-06-29 13:55:00+00:00,738.8900146484375,739.010009765625,736.4099731445312,736.889892578125,891566 +2026-06-29 14:00:00+00:00,736.8699951171875,737.0700073242188,735.8800048828125,736.0499877929688,956842 +2026-06-29 14:05:00+00:00,736.0499877929688,736.1599731445312,734.6500244140625,735.051513671875,781976 +2026-06-29 14:10:00+00:00,735.0800170898438,735.3300170898438,732.7000122070312,732.7000122070312,880684 +2026-06-29 14:15:00+00:00,732.7000122070312,733.9400024414062,732.0900268554688,733.6900024414062,1327368 +2026-06-29 14:20:00+00:00,733.719970703125,734.5850219726562,733.3099975585938,734.1599731445312,806300 +2026-06-29 14:25:00+00:00,734.1599731445312,736.1900024414062,734.1400146484375,736.0700073242188,972450 +2026-06-29 14:30:00+00:00,736.0800170898438,737.6500244140625,735.9299926757812,737.4000244140625,811881 +2026-06-29 14:35:00+00:00,737.39501953125,737.719970703125,736.8699951171875,737.1400146484375,585582 +2026-06-29 14:40:00+00:00,737.0999755859375,737.8099975585938,736.8200073242188,737.0499877929688,444038 +2026-06-29 14:45:00+00:00,737.0399780273438,737.0399780273438,735.8800048828125,736.6599731445312,868092 +2026-06-29 14:50:00+00:00,736.6500244140625,738.3200073242188,736.6300048828125,737.9650268554688,573435 +2026-06-29 14:55:00+00:00,737.9600219726562,737.9600219726562,737.1400146484375,737.8599853515625,400504 +2026-06-29 15:00:00+00:00,737.8800048828125,738.02001953125,737.2000122070312,737.3579711914062,481912 +2026-06-29 15:05:00+00:00,737.3599853515625,737.530029296875,737.02001953125,737.2100219726562,272363 +2026-06-29 15:10:00+00:00,737.2100219726562,737.47998046875,736.5,737.4600219726562,372214 +2026-06-29 15:15:00+00:00,737.47998046875,737.739990234375,736.9000244140625,736.969970703125,308183 +2026-06-29 15:20:00+00:00,736.9600219726562,737.489990234375,736.3300170898438,736.72998046875,432927 +2026-06-29 15:25:00+00:00,736.719970703125,737.8200073242188,736.5499877929688,737.77001953125,252935 +2026-06-29 15:30:00+00:00,737.760009765625,738.030029296875,737.530029296875,737.5999755859375,531255 +2026-06-29 15:35:00+00:00,737.5800170898438,738.1699829101562,737.2100219726562,738.0499877929688,319713 +2026-06-29 15:40:00+00:00,738.010009765625,738.489990234375,737.719970703125,738.4400024414062,290035 +2026-06-29 15:45:00+00:00,738.4400024414062,738.4450073242188,737.780029296875,737.9099731445312,474121 +2026-06-29 15:50:00+00:00,737.9199829101562,738.1799926757812,737.760009765625,738.0599975585938,201728 +2026-06-29 15:55:00+00:00,738.0399780273438,738.5800170898438,737.8244018554688,738.510009765625,241579 +2026-06-29 16:00:00+00:00,738.5399780273438,738.9099731445312,738.4600219726562,738.9000244140625,582153 +2026-06-29 16:05:00+00:00,738.8900146484375,739.1300048828125,738.6599731445312,738.7901000976562,480507 +2026-06-29 16:10:00+00:00,738.8201293945312,738.989990234375,738.4400024414062,738.5,184103 +2026-06-29 16:15:00+00:00,738.5,738.8400268554688,738.4400024414062,738.5800170898438,1903895 +2026-06-29 16:20:00+00:00,738.5599975585938,738.8099975585938,738.3699951171875,738.77001953125,192392 +2026-06-29 16:25:00+00:00,738.760009765625,738.8499755859375,738.260009765625,738.3300170898438,278007 +2026-06-29 16:30:00+00:00,738.3400268554688,738.510009765625,737.969970703125,738.1199951171875,245356 +2026-06-29 16:35:00+00:00,738.1199951171875,738.4500122070312,737.989990234375,738.4450073242188,262037 +2026-06-29 16:40:00+00:00,738.4400024414062,738.5800170898438,738.3099975585938,738.5,149573 +2026-06-29 16:45:00+00:00,738.510009765625,738.6201171875,738.1900024414062,738.4600219726562,163806 +2026-06-29 16:50:00+00:00,738.510009765625,738.9500122070312,738.4099731445312,738.885009765625,255152 +2026-06-29 16:55:00+00:00,738.8800048828125,738.8900146484375,738.6199951171875,738.6799926757812,756865 +2026-06-29 17:00:00+00:00,738.6900024414062,739.0599975585938,738.6900024414062,739.02001953125,156207 +2026-06-29 17:05:00+00:00,739.02001953125,739.3699951171875,738.9600219726562,739.260009765625,188961 +2026-06-29 17:10:00+00:00,739.280029296875,740.2000122070312,739.260009765625,739.969970703125,554729 +2026-06-29 17:15:00+00:00,739.97998046875,740.2999877929688,739.8699951171875,740.0750122070312,250101 +2026-06-29 17:20:00+00:00,740.0499877929688,740.375,739.4849853515625,739.5,443003 +2026-06-29 17:25:00+00:00,739.5,740.1799926757812,739.4600219726562,740.1400146484375,346510 +2026-06-29 17:30:00+00:00,740.135009765625,740.6300048828125,739.97998046875,740.2899780273438,280931 +2026-06-29 17:35:00+00:00,740.2999877929688,740.4199829101562,739.97998046875,740.3200073242188,197183 +2026-06-29 17:40:00+00:00,740.2999877929688,740.4500122070312,740.260009765625,740.2849731445312,136083 +2026-06-29 17:45:00+00:00,740.2899780273438,740.5599975585938,740.0999755859375,740.489990234375,177140 +2026-06-29 17:50:00+00:00,740.489990234375,740.8200073242188,740.39501953125,740.5599975585938,179744 +2026-06-29 17:55:00+00:00,740.5499877929688,740.6799926757812,740.1699829101562,740.4099731445312,184755 +2026-06-29 18:00:00+00:00,740.4000244140625,740.77001953125,740.22998046875,740.6099853515625,290116 +2026-06-29 18:05:00+00:00,740.6099853515625,740.760009765625,740.4400024414062,740.52001953125,523343 +2026-06-29 18:10:00+00:00,740.52001953125,740.7100219726562,740.4299926757812,740.5789794921875,709069 +2026-06-29 18:15:00+00:00,740.5700073242188,740.6199951171875,740.3599853515625,740.4199829101562,298207 +2026-06-29 18:20:00+00:00,740.4299926757812,740.5800170898438,740.1799926757812,740.4000244140625,263078 +2026-06-29 18:25:00+00:00,740.4099731445312,740.4099731445312,740.1199951171875,740.2150268554688,514123 +2026-06-29 18:30:00+00:00,740.2150268554688,740.719970703125,740.1500244140625,740.6099853515625,309890 +2026-06-29 18:35:00+00:00,740.6300048828125,740.9500122070312,740.5499877929688,740.7949829101562,295728 +2026-06-29 18:40:00+00:00,740.7999877929688,741.0499877929688,740.6900024414062,740.969970703125,290475 +2026-06-29 18:45:00+00:00,740.989990234375,741.1900024414062,740.8699951171875,740.9600219726562,308883 +2026-06-29 18:50:00+00:00,740.9400024414062,740.9550170898438,740.6799926757812,740.85498046875,334165 +2026-06-29 18:55:00+00:00,740.85498046875,740.9099731445312,740.5599975585938,740.6849975585938,428554 +2026-06-29 19:00:00+00:00,740.6900024414062,740.9199829101562,740.510009765625,740.614990234375,1115678 +2026-06-29 19:05:00+00:00,740.6099853515625,740.97998046875,740.52001953125,740.760009765625,336859 +2026-06-29 19:10:00+00:00,740.760009765625,740.7999877929688,740.52001953125,740.5800170898438,989256 +2026-06-29 19:15:00+00:00,740.5700073242188,740.7899780273438,740.3400268554688,740.6400146484375,812481 +2026-06-29 19:20:00+00:00,740.6400146484375,741.1199951171875,740.6400146484375,741.0,420945 +2026-06-29 19:25:00+00:00,741.0,741.0399780273438,740.8699951171875,740.8699951171875,591095 +2026-06-29 19:30:00+00:00,740.8699951171875,740.9099731445312,740.4299926757812,740.489990234375,535172 +2026-06-29 19:35:00+00:00,740.47998046875,740.7550048828125,740.47998046875,740.719970703125,571833 +2026-06-29 19:40:00+00:00,740.719970703125,740.989990234375,740.4600219726562,740.6500244140625,1205474 +2026-06-29 19:45:00+00:00,740.6500244140625,740.9199829101562,740.5999755859375,740.8900146484375,923273 +2026-06-29 19:50:00+00:00,740.8900146484375,741.0,740.22998046875,740.2899780273438,2384337 +2026-06-29 19:55:00+00:00,740.2899780273438,741.5599975585938,740.2899780273438,740.8499755859375,4054970 +2026-06-30 13:30:00+00:00,741.2899780273438,741.969970703125,740.8900146484375,741.3049926757812,1787543 +2026-06-30 13:35:00+00:00,741.3099975585938,742.0900268554688,741.1099853515625,741.469970703125,778822 +2026-06-30 13:40:00+00:00,741.4600219726562,742.3099975585938,741.22998046875,741.9099731445312,910901 +2026-06-30 13:45:00+00:00,741.8699951171875,742.3099975585938,741.6699829101562,742.010009765625,592726 +2026-06-30 13:50:00+00:00,741.989990234375,743.469970703125,741.8800048828125,743.1799926757812,1009884 +2026-06-30 13:55:00+00:00,743.1799926757812,743.9600219726562,743.1599731445312,743.9199829101562,547698 +2026-06-30 14:00:00+00:00,743.9099731445312,744.530029296875,742.8599853515625,744.52001953125,3100579 +2026-06-30 14:05:00+00:00,744.52001953125,744.5299072265625,743.3699951171875,743.5399780273438,369176 +2026-06-30 14:10:00+00:00,743.5650024414062,743.8800048828125,743.1724853515625,743.6300048828125,418594 +2026-06-30 14:15:00+00:00,743.6199951171875,743.8499755859375,743.3099975585938,743.5599975585938,298480 +2026-06-30 14:20:00+00:00,743.5700073242188,744.4600219726562,743.4600219726562,744.2999877929688,299097 +2026-06-30 14:25:00+00:00,744.3109741210938,744.5750122070312,744.02001953125,744.47998046875,237314 +2026-06-30 14:30:00+00:00,744.469970703125,745.3300170898438,744.4400024414062,745.3200073242188,434445 +2026-06-30 14:35:00+00:00,745.3300170898438,745.3800048828125,744.3400268554688,744.5549926757812,625219 +2026-06-30 14:40:00+00:00,744.5599975585938,744.9249877929688,744.1599731445312,744.780029296875,334239 +2026-06-30 14:45:00+00:00,744.7999877929688,744.8099975585938,743.6511840820312,743.8699951171875,317645 +2026-06-30 14:50:00+00:00,743.8900146484375,744.27001953125,743.3200073242188,743.3798828125,341395 +2026-06-30 14:55:00+00:00,743.3800048828125,743.719970703125,742.9299926757812,743.3198852539062,263306 +2026-06-30 15:00:00+00:00,743.3200073242188,744.3200073242188,743.239990234375,744.1699829101562,269756 +2026-06-30 15:05:00+00:00,744.1699829101562,744.510009765625,743.7999877929688,744.4249877929688,284409 +2026-06-30 15:10:00+00:00,744.4400024414062,744.9199829101562,744.3300170898438,744.8300170898438,466836 +2026-06-30 15:15:00+00:00,744.8200073242188,744.8800048828125,744.3599853515625,744.5499877929688,225849 +2026-06-30 15:20:00+00:00,744.5499877929688,745.218994140625,744.530029296875,745.1400146484375,346595 +2026-06-30 15:25:00+00:00,745.1500244140625,745.3599853515625,744.97998046875,745.260009765625,317186 +2026-06-30 15:30:00+00:00,745.2750244140625,745.47998046875,745.0499877929688,745.4500122070312,457431 +2026-06-30 15:35:00+00:00,745.4299926757812,745.47998046875,744.8499755859375,744.9400024414062,262459 +2026-06-30 15:40:00+00:00,744.9500122070312,745.25,744.7940063476562,745.030029296875,194669 +2026-06-30 15:45:00+00:00,745.030029296875,745.6900024414062,745.030029296875,745.4149780273438,244820 +2026-06-30 15:50:00+00:00,745.4299926757812,745.7349853515625,745.280029296875,745.6799926757812,221972 +2026-06-30 15:55:00+00:00,745.6699829101562,746.0,745.6300048828125,745.7899780273438,353269 +2026-06-30 16:00:00+00:00,745.7999877929688,746.1500244140625,745.760009765625,746.0,391433 +2026-06-30 16:05:00+00:00,746.0025024414062,746.405029296875,745.97998046875,746.0850219726562,333250 +2026-06-30 16:10:00+00:00,746.0800170898438,746.3200073242188,746.0499877929688,746.280029296875,226252 +2026-06-30 16:15:00+00:00,746.27001953125,746.6199951171875,746.1799926757812,746.3900146484375,380723 +2026-06-30 16:20:00+00:00,746.3900146484375,746.530029296875,746.260009765625,746.4199829101562,239427 +2026-06-30 16:25:00+00:00,746.4199829101562,746.4400024414062,746.260009765625,746.2899780273438,366476 +2026-06-30 16:30:00+00:00,746.2899780273438,746.4199829101562,746.1199951171875,746.219970703125,298510 +2026-06-30 16:35:00+00:00,746.219970703125,746.4199829101562,746.1199951171875,746.4199829101562,185406 +2026-06-30 16:40:00+00:00,746.4000244140625,746.6099853515625,746.3300170898438,746.5307006835938,293982 +2026-06-30 16:45:00+00:00,746.5399780273438,746.7899780273438,746.47998046875,746.7899780273438,282884 +2026-06-30 16:50:00+00:00,746.7899780273438,747.0399780273438,746.6300048828125,746.9400024414062,406701 +2026-06-30 16:55:00+00:00,746.9500122070312,747.0,746.655029296875,746.77001953125,231170 +2026-06-30 17:00:00+00:00,746.780029296875,747.1400146484375,746.77001953125,746.97998046875,222298 +2026-06-30 17:05:00+00:00,746.97998046875,747.0800170898438,746.8400268554688,746.8699951171875,192471 +2026-06-30 17:10:00+00:00,746.8900146484375,746.9199829101562,746.5750122070312,746.594970703125,176597 +2026-06-30 17:15:00+00:00,746.594970703125,746.7424926757812,746.52001953125,746.6400146484375,442476 +2026-06-30 17:20:00+00:00,746.6500244140625,746.8900146484375,746.5999755859375,746.6950073242188,203658 +2026-06-30 17:25:00+00:00,746.7000122070312,746.75,746.3699951171875,746.489990234375,222828 +2026-06-30 17:30:00+00:00,746.510009765625,746.6699829101562,746.3200073242188,746.5700073242188,206833 +2026-06-30 17:35:00+00:00,746.5700073242188,746.6199951171875,746.1500244140625,746.2000122070312,430786 +2026-06-30 17:40:00+00:00,746.2000122070312,746.6300048828125,746.1799926757812,746.6099853515625,313834 +2026-06-30 17:45:00+00:00,746.60498046875,746.6599731445312,746.3200073242188,746.3699951171875,275184 +2026-06-30 17:50:00+00:00,746.3800048828125,746.5999755859375,746.2999877929688,746.469970703125,188357 +2026-06-30 17:55:00+00:00,746.4600219726562,746.5399780273438,746.4000244140625,746.489990234375,171685 +2026-06-30 18:00:00+00:00,746.489990234375,746.8599853515625,746.3800048828125,746.6599731445312,283412 +2026-06-30 18:05:00+00:00,746.6649780273438,746.77001953125,746.3200073242188,746.6599731445312,284579 +2026-06-30 18:10:00+00:00,746.6599731445312,746.8250122070312,746.5850219726562,746.77001953125,225522 +2026-06-30 18:15:00+00:00,746.77001953125,746.9650268554688,746.6799926757812,746.9500122070312,236989 +2026-06-30 18:20:00+00:00,746.9400024414062,747.0800170898438,746.8499755859375,746.8699951171875,364063 +2026-06-30 18:25:00+00:00,746.8599853515625,746.9199829101562,746.7000122070312,746.7999877929688,207765 +2026-06-30 18:30:00+00:00,746.77001953125,746.8200073242188,746.5599975585938,746.6900024414062,299568 +2026-06-30 18:35:00+00:00,746.7000122070312,746.8499755859375,746.6599731445312,746.72998046875,240346 +2026-06-30 18:40:00+00:00,746.7249755859375,747.0599975585938,746.719970703125,746.97998046875,299062 +2026-06-30 18:45:00+00:00,746.969970703125,747.3499755859375,746.8599853515625,747.3300170898438,407624 +2026-06-30 18:50:00+00:00,747.3200073242188,747.4400024414062,747.0,747.1300048828125,358764 +2026-06-30 18:55:00+00:00,747.125,747.3300170898438,747.0900268554688,747.1300048828125,363398 +2026-06-30 19:00:00+00:00,747.1300048828125,747.4000244140625,747.1099853515625,747.25,336809 +2026-06-30 19:05:00+00:00,747.22998046875,747.5999755859375,747.1300048828125,747.5,375077 +2026-06-30 19:10:00+00:00,747.5020141601562,747.780029296875,747.3200073242188,747.719970703125,470204 +2026-06-30 19:15:00+00:00,747.719970703125,748.02001953125,747.5999755859375,747.6199951171875,660814 +2026-06-30 19:20:00+00:00,747.6400146484375,747.7999877929688,747.469970703125,747.6300048828125,1152773 +2026-06-30 19:25:00+00:00,747.6199951171875,747.7000122070312,747.2999877929688,747.4199829101562,952990 +2026-06-30 19:30:00+00:00,747.4299926757812,747.489990234375,747.1300048828125,747.1400146484375,683924 +2026-06-30 19:35:00+00:00,747.14501953125,747.2000122070312,746.72998046875,746.9299926757812,706926 +2026-06-30 19:40:00+00:00,746.9199829101562,747.1400146484375,746.8099975585938,747.1300048828125,732755 +2026-06-30 19:45:00+00:00,747.1389770507812,747.3499755859375,746.8150024414062,746.9099731445312,885649 +2026-06-30 19:50:00+00:00,746.9000244140625,747.489990234375,746.6749877929688,747.4400024414062,1610289 +2026-06-30 19:55:00+00:00,747.4500122070312,747.8599853515625,746.3699951171875,746.47998046875,8282003 +2026-07-01 13:30:00+00:00,745.0,745.1799926757812,742.5,742.6300048828125,2388004 +2026-07-01 13:35:00+00:00,742.6300048828125,743.4099731445312,742.375,743.072509765625,912760 +2026-07-01 13:40:00+00:00,743.1199951171875,743.75,742.780029296875,743.2100219726562,1153801 +2026-07-01 13:45:00+00:00,743.219970703125,744.119873046875,742.8599853515625,743.6900024414062,913819 +2026-07-01 13:50:00+00:00,743.6900024414062,744.9199829101562,743.6099853515625,744.75,846149 +2026-07-01 13:55:00+00:00,744.739990234375,745.3400268554688,744.4801025390625,745.3200073242188,828006 +2026-07-01 14:00:00+00:00,745.3400268554688,745.6300048828125,745.0,745.3900146484375,483830 +2026-07-01 14:05:00+00:00,745.405029296875,746.3049926757812,745.3300170898438,746.094970703125,543302 +2026-07-01 14:10:00+00:00,746.0900268554688,746.8900146484375,746.02001953125,746.6099853515625,628072 +2026-07-01 14:15:00+00:00,746.64501953125,746.8300170898438,746.3499755859375,746.75,750140 +2026-07-01 14:20:00+00:00,746.739990234375,746.989990234375,746.6300048828125,746.8099975585938,454617 +2026-07-01 14:25:00+00:00,746.8099975585938,747.02001953125,746.6699829101562,746.8200073242188,300827 +2026-07-01 14:30:00+00:00,746.8200073242188,746.9000244140625,746.02001953125,746.3049926757812,419233 +2026-07-01 14:35:00+00:00,746.2899780273438,746.9299926757812,746.0,746.9199829101562,487713 +2026-07-01 14:40:00+00:00,746.8930053710938,747.1099853515625,746.469970703125,746.6400146484375,546225 +2026-07-01 14:45:00+00:00,746.6099853515625,746.6400146484375,745.6900024414062,746.4600219726562,481804 +2026-07-01 14:50:00+00:00,746.489990234375,747.0700073242188,746.41748046875,746.8599853515625,379682 +2026-07-01 14:55:00+00:00,746.8800048828125,746.969970703125,746.3800048828125,746.9600219726562,306704 +2026-07-01 15:00:00+00:00,746.989990234375,747.9149780273438,746.9000244140625,747.780029296875,506271 +2026-07-01 15:05:00+00:00,747.7849731445312,748.0700073242188,747.3900146484375,747.6599731445312,718027 +2026-07-01 15:10:00+00:00,747.6699829101562,748.0900268554688,747.4708862304688,748.0700073242188,407140 +2026-07-01 15:15:00+00:00,748.0900268554688,748.6400146484375,748.030029296875,748.47998046875,573080 +2026-07-01 15:20:00+00:00,748.47998046875,749.0499877929688,748.47998046875,748.8900146484375,527674 +2026-07-01 15:25:00+00:00,748.8699951171875,749.3200073242188,748.8099975585938,749.2899780273438,768037 +2026-07-01 15:30:00+00:00,749.280029296875,749.364990234375,748.6400146484375,748.6599731445312,320244 +2026-07-01 15:35:00+00:00,748.6500244140625,748.8800048828125,748.3400268554688,748.6300048828125,360520 +2026-07-01 15:40:00+00:00,748.6599731445312,748.9099731445312,748.5,748.8099975585938,248668 +2026-07-01 15:45:00+00:00,748.780029296875,748.9099731445312,748.3599853515625,748.4600219726562,336484 +2026-07-01 15:50:00+00:00,748.469970703125,748.8400268554688,748.3499755859375,748.52001953125,193883 +2026-07-01 15:55:00+00:00,748.52001953125,748.8800048828125,748.3599853515625,748.7899780273438,286282 +2026-07-01 16:00:00+00:00,748.8109741210938,749.1400146484375,748.6900024414062,748.8099975585938,262549 +2026-07-01 16:05:00+00:00,748.7999877929688,749.0900268554688,748.6699829101562,748.8800048828125,152324 +2026-07-01 16:10:00+00:00,748.8800048828125,749.1400146484375,748.72998046875,749.0900268554688,177492 +2026-07-01 16:15:00+00:00,749.0800170898438,749.1699829101562,748.8599853515625,749.0800170898438,385667 +2026-07-01 16:20:00+00:00,749.0800170898438,749.4349975585938,748.97998046875,749.239990234375,236481 +2026-07-01 16:25:00+00:00,749.25,749.3599853515625,748.969970703125,748.9700927734375,204706 +2026-07-01 16:30:00+00:00,748.97998046875,749.2100219726562,748.969970703125,749.0399780273438,137705 +2026-07-01 16:35:00+00:00,749.02001953125,749.030029296875,748.52001953125,748.5599975585938,250109 +2026-07-01 16:40:00+00:00,748.5399780273438,748.6799926757812,748.2899780273438,748.5999755859375,295509 +2026-07-01 16:45:00+00:00,748.6099853515625,748.8300170898438,748.3200073242188,748.3200073242188,283186 +2026-07-01 16:50:00+00:00,748.3250122070312,748.5549926757812,747.89501953125,748.0599975585938,313846 +2026-07-01 16:55:00+00:00,748.0800170898438,748.1300048828125,747.322509765625,747.52001953125,318935 +2026-07-01 17:00:00+00:00,747.510009765625,747.9299926757812,747.3900146484375,747.5150146484375,250031 +2026-07-01 17:05:00+00:00,747.510009765625,747.569091796875,747.0399780273438,747.47998046875,456779 +2026-07-01 17:10:00+00:00,747.5,747.8699951171875,747.27001953125,747.8201293945312,178588 +2026-07-01 17:15:00+00:00,747.8200073242188,748.1199951171875,747.720703125,748.0700073242188,321515 +2026-07-01 17:20:00+00:00,748.0900268554688,748.3099975585938,748.0499877929688,748.2100219726562,179773 +2026-07-01 17:25:00+00:00,748.2398071289062,748.4199829101562,747.9199829101562,747.9299926757812,271513 +2026-07-01 17:30:00+00:00,747.9400024414062,748.1799926757812,747.6799926757812,747.8200073242188,210559 +2026-07-01 17:35:00+00:00,747.8400268554688,748.0499877929688,747.6500244140625,747.9400024414062,218628 +2026-07-01 17:40:00+00:00,747.9500122070312,747.97998046875,747.469970703125,747.489990234375,119831 +2026-07-01 17:45:00+00:00,747.47998046875,747.6400146484375,747.2899780273438,747.4199829101562,225530 +2026-07-01 17:50:00+00:00,747.4199829101562,747.7399291992188,747.239990234375,747.5999755859375,184187 +2026-07-01 17:55:00+00:00,747.6099853515625,747.6199951171875,747.1599731445312,747.1950073242188,234030 +2026-07-01 18:00:00+00:00,747.2000122070312,747.6900024414062,747.14501953125,747.6900024414062,420904 +2026-07-01 18:05:00+00:00,747.6799926757812,747.6799926757812,747.2899780273438,747.530029296875,194348 +2026-07-01 18:10:00+00:00,747.510009765625,747.5499877929688,747.0900268554688,747.0999755859375,184084 +2026-07-01 18:15:00+00:00,747.0900268554688,747.260009765625,746.7100219726562,747.2100219726562,339707 +2026-07-01 18:20:00+00:00,747.219970703125,747.4400024414062,747.1199951171875,747.4400024414062,338516 +2026-07-01 18:25:00+00:00,747.4299926757812,747.5349731445312,747.1300048828125,747.1400146484375,204926 +2026-07-01 18:30:00+00:00,747.1300048828125,747.2698974609375,747.0,747.219970703125,233101 +2026-07-01 18:35:00+00:00,747.2000122070312,747.3800048828125,747.0900268554688,747.280029296875,212911 +2026-07-01 18:40:00+00:00,747.27001953125,747.3300170898438,747.0499877929688,747.1799926757812,232956 +2026-07-01 18:45:00+00:00,747.1799926757812,747.2000122070312,746.6801147460938,746.9299926757812,372970 +2026-07-01 18:50:00+00:00,746.9349975585938,746.9949951171875,746.4500122070312,746.4801025390625,435589 +2026-07-01 18:55:00+00:00,746.47998046875,746.9299926757812,746.4500122070312,746.8499755859375,284593 +2026-07-01 19:00:00+00:00,746.8599853515625,747.3300170898438,746.780029296875,747.2750244140625,441118 +2026-07-01 19:05:00+00:00,747.260009765625,747.6900024414062,747.239990234375,747.6099853515625,412872 +2026-07-01 19:10:00+00:00,747.5999755859375,747.6199951171875,747.219970703125,747.3499755859375,441600 +2026-07-01 19:15:00+00:00,747.3200073242188,747.5900268554688,747.27001953125,747.4000244140625,225077 +2026-07-01 19:20:00+00:00,747.4099731445312,747.530029296875,747.280029296875,747.489990234375,254844 +2026-07-01 19:25:00+00:00,747.5,747.5,746.9400024414062,746.9400024414062,601085 +2026-07-01 19:30:00+00:00,746.9400024414062,747.3099975585938,746.9299926757812,747.1500244140625,546729 +2026-07-01 19:35:00+00:00,747.1400146484375,747.1599731445312,746.77001953125,746.8400268554688,426906 +2026-07-01 19:40:00+00:00,746.8300170898438,746.8699951171875,746.4600219726562,746.6500244140625,953912 +2026-07-01 19:45:00+00:00,746.6500244140625,746.6799926757812,746.3300170898438,746.52001953125,673954 +2026-07-01 19:50:00+00:00,746.530029296875,746.7999877929688,745.9199829101562,746.239990234375,1424220 +2026-07-01 19:55:00+00:00,746.22998046875,746.25,745.1599731445312,745.7000122070312,4176329 +2026-07-02 13:30:00+00:00,747.4000244140625,748.719970703125,747.0999755859375,748.5599975585938,2508520 +2026-07-02 13:35:00+00:00,748.5399780273438,749.1900024414062,747.989990234375,748.780029296875,539873 +2026-07-02 13:40:00+00:00,748.8099975585938,750.25,748.6300048828125,749.7999877929688,706026 +2026-07-02 13:45:00+00:00,749.760009765625,750.7362060546875,749.510009765625,750.405029296875,474360 +2026-07-02 13:50:00+00:00,750.4190063476562,751.2449951171875,750.1799926757812,750.469970703125,707106 +2026-07-02 13:55:00+00:00,750.489990234375,750.77001953125,750.030029296875,750.760009765625,435326 +2026-07-02 14:00:00+00:00,750.780029296875,751.0900268554688,750.4000244140625,750.7794799804688,387736 +2026-07-02 14:05:00+00:00,750.780029296875,751.3099975585938,750.1199951171875,750.2449951171875,505269 +2026-07-02 14:10:00+00:00,750.260009765625,751.239990234375,749.6699829101562,750.9600219726562,578904 +2026-07-02 14:15:00+00:00,750.969970703125,751.219970703125,750.1400146484375,750.6699829101562,390691 +2026-07-02 14:20:00+00:00,750.6599731445312,750.77001953125,749.52001953125,749.6500244140625,628550 +2026-07-02 14:25:00+00:00,749.6599731445312,749.7999877929688,747.6099853515625,747.9400024414062,986129 +2026-07-02 14:30:00+00:00,747.9500122070312,749.3800048828125,747.5599975585938,748.27001953125,701328 +2026-07-02 14:35:00+00:00,748.2750244140625,749.1400146484375,747.8040161132812,748.4550170898438,417189 +2026-07-02 14:40:00+00:00,748.4500122070312,748.6300048828125,746.3499755859375,746.8800048828125,636437 +2026-07-02 14:45:00+00:00,746.8900146484375,747.6799926757812,746.3200073242188,747.27001953125,489508 +2026-07-02 14:50:00+00:00,747.2849731445312,747.7100219726562,746.02001953125,746.5,459111 +2026-07-02 14:55:00+00:00,746.47998046875,747.6699829101562,746.4299926757812,747.6599731445312,266821 +2026-07-02 15:00:00+00:00,747.6500244140625,747.8280029296875,746.0399780273438,746.0700073242188,526444 +2026-07-02 15:05:00+00:00,746.0900268554688,746.3699951171875,744.2000122070312,745.3624877929688,915252 +2026-07-02 15:10:00+00:00,745.3800048828125,746.530029296875,745.010009765625,746.0599975585938,405388 +2026-07-02 15:15:00+00:00,746.0599975585938,746.3400268554688,744.4400024414062,744.6300048828125,523939 +2026-07-02 15:20:00+00:00,744.6900024414062,745.9400024414062,744.3300170898438,745.8800048828125,448169 +2026-07-02 15:25:00+00:00,745.9099731445312,746.02001953125,744.8900146484375,744.9099731445312,406656 +2026-07-02 15:30:00+00:00,744.8800048828125,746.2650146484375,744.8699951171875,746.0800170898438,379207 +2026-07-02 15:35:00+00:00,746.0999755859375,746.7100219726562,745.9600219726562,746.2349853515625,483631 +2026-07-02 15:40:00+00:00,746.22998046875,746.5499877929688,745.2861938476562,745.2861938476562,348866 +2026-07-02 15:45:00+00:00,745.2899780273438,745.718994140625,744.739990234375,744.8599853515625,166238 +2026-07-02 15:50:00+00:00,744.8800048828125,744.8800048828125,744.0499877929688,744.614990234375,311294 +2026-07-02 15:55:00+00:00,744.5999755859375,744.9400024414062,744.0700073242188,744.64501953125,324263 +2026-07-02 16:00:00+00:00,744.6500244140625,744.8699951171875,743.6699829101562,744.3200073242188,728464 +2026-07-02 16:05:00+00:00,744.3099975585938,744.594970703125,743.7999877929688,743.906005859375,193043 +2026-07-02 16:10:00+00:00,743.9500122070312,744.669921875,743.8099975585938,744.5,211939 +2026-07-02 16:15:00+00:00,744.5,744.614990234375,743.969970703125,744.0499877929688,219089 +2026-07-02 16:20:00+00:00,744.0499877929688,744.0750122070312,743.3699951171875,743.4500122070312,333837 +2026-07-02 16:25:00+00:00,743.4400024414062,744.02001953125,743.4199829101562,743.5399780273438,266933 +2026-07-02 16:30:00+00:00,743.5599975585938,743.5700073242188,742.8300170898438,742.8300170898438,734008 +2026-07-02 16:35:00+00:00,742.8200073242188,743.1099853515625,742.1099853515625,742.6699829101562,479644 +2026-07-02 16:40:00+00:00,742.6799926757812,743.3599853515625,742.5999755859375,743.2449951171875,523397 +2026-07-02 16:45:00+00:00,743.22998046875,743.27001953125,742.77001953125,742.989990234375,241683 +2026-07-02 16:50:00+00:00,742.989990234375,743.3599853515625,742.5700073242188,742.9000244140625,289710 +2026-07-02 16:55:00+00:00,742.9099731445312,742.9199829101562,741.8099975585938,742.1799926757812,340170 +2026-07-02 17:00:00+00:00,742.2000122070312,742.280029296875,740.52001953125,740.85498046875,475859 +2026-07-02 17:05:00+00:00,740.8499755859375,741.9500122070312,740.3699951171875,741.52001953125,513056 +2026-07-02 17:10:00+00:00,741.510009765625,741.9400024414062,741.219970703125,741.75,340622 +2026-07-02 17:15:00+00:00,741.75,742.1699829101562,741.3800048828125,741.4600219726562,1007248 +2026-07-02 17:20:00+00:00,741.469970703125,741.9000244140625,741.280029296875,741.3657836914062,859947 +2026-07-02 17:25:00+00:00,741.3699951171875,741.6500244140625,741.1400146484375,741.530029296875,688107 +2026-07-02 17:30:00+00:00,741.5399780273438,742.0999755859375,741.4299926757812,741.4299926757812,263261 +2026-07-02 17:35:00+00:00,741.4299926757812,741.5700073242188,740.6500244140625,740.75,513240 +2026-07-02 17:40:00+00:00,740.7449951171875,741.2100219726562,740.4299926757812,741.1199951171875,259671 +2026-07-02 17:45:00+00:00,741.0800170898438,741.1500244140625,740.22998046875,740.6400146484375,336425 +2026-07-02 17:50:00+00:00,740.6300048828125,741.1099853515625,740.3499755859375,740.9409790039062,255859 +2026-07-02 17:55:00+00:00,740.9400024414062,741.02001953125,740.030029296875,740.239990234375,476222 +2026-07-02 18:00:00+00:00,740.260009765625,740.989990234375,740.0499877929688,740.9400024414062,462007 +2026-07-02 18:05:00+00:00,740.9400024414062,742.469970703125,740.9000244140625,742.4400024414062,548620 +2026-07-02 18:10:00+00:00,742.4400024414062,742.9000244140625,742.1300048828125,742.219970703125,287109 +2026-07-02 18:15:00+00:00,742.25,742.3800048828125,741.4000244140625,741.6900024414062,302712 +2026-07-02 18:20:00+00:00,741.6699829101562,742.2899780273438,741.6649780273438,742.155029296875,218599 +2026-07-02 18:25:00+00:00,742.155029296875,742.72998046875,741.9600219726562,742.719970703125,224082 +2026-07-02 18:30:00+00:00,742.7100219726562,743.3400268554688,742.6599731445312,742.9299926757812,397918 +2026-07-02 18:35:00+00:00,742.9600219726562,743.280029296875,742.8499755859375,743.1599731445312,263336 +2026-07-02 18:40:00+00:00,743.1649780273438,743.3300170898438,742.969970703125,743.0399780273438,239079 +2026-07-02 18:45:00+00:00,743.0549926757812,743.2899780273438,742.530029296875,743.2374877929688,345624 +2026-07-02 18:50:00+00:00,743.219970703125,743.510009765625,742.8599853515625,742.8599853515625,510746 +2026-07-02 18:55:00+00:00,742.8699951171875,743.0999755859375,742.5800170898438,742.989501953125,223207 +2026-07-02 19:00:00+00:00,742.989990234375,743.1301879882812,741.5599975585938,741.648193359375,316834 +2026-07-02 19:05:00+00:00,741.6400146484375,742.0999755859375,741.27001953125,741.8599853515625,465790 +2026-07-02 19:10:00+00:00,741.875,742.22998046875,741.530029296875,742.0399780273438,272595 +2026-07-02 19:15:00+00:00,742.0499877929688,742.1500244140625,741.52001953125,741.7999877929688,286971 +2026-07-02 19:20:00+00:00,741.8200073242188,741.8900146484375,741.52001953125,741.5999755859375,728011 +2026-07-02 19:25:00+00:00,741.5900268554688,742.6400146484375,741.4600219726562,742.3099975585938,628453 +2026-07-02 19:30:00+00:00,742.3400268554688,742.8900146484375,742.1699829101562,742.8400268554688,484616 +2026-07-02 19:35:00+00:00,742.8499755859375,743.1500244140625,742.5800170898438,743.1099853515625,464160 +2026-07-02 19:40:00+00:00,743.1099853515625,743.375,742.77001953125,743.25,614894 +2026-07-02 19:45:00+00:00,743.260009765625,743.3800048828125,742.989990234375,743.27001953125,899053 +2026-07-02 19:50:00+00:00,743.280029296875,744.510009765625,743.2750244140625,744.47998046875,2388157 +2026-07-02 19:55:00+00:00,744.5,745.5800170898438,744.280029296875,744.8400268554688,5949984 +2026-07-06 13:30:00+00:00,748.739990234375,749.4849853515625,748.1199951171875,749.1599731445312,1901032 +2026-07-06 13:35:00+00:00,749.1599731445312,749.1599731445312,747.4099731445312,748.2916870117188,667148 +2026-07-06 13:40:00+00:00,748.3099975585938,748.6599731445312,747.719970703125,748.6400146484375,683589 +2026-07-06 13:45:00+00:00,748.6199951171875,749.0999755859375,748.2999877929688,748.9400024414062,796538 +2026-07-06 13:50:00+00:00,748.9500122070312,749.5399780273438,748.25,748.875,807576 +2026-07-06 13:55:00+00:00,748.8699951171875,748.9650268554688,748.3099975585938,748.5,440195 +2026-07-06 14:00:00+00:00,748.5399780273438,749.010009765625,747.969970703125,748.3800048828125,369303 +2026-07-06 14:05:00+00:00,748.3400268554688,749.0499877929688,748.0499877929688,748.8099975585938,335369 +2026-07-06 14:10:00+00:00,748.8090209960938,749.4500122070312,748.5999755859375,749.4000244140625,432665 +2026-07-06 14:15:00+00:00,749.4000244140625,749.47998046875,748.9600219726562,749.1799926757812,1553172 +2026-07-06 14:20:00+00:00,749.1900024414062,749.8400268554688,749.0399780273438,749.6500244140625,813372 +2026-07-06 14:25:00+00:00,749.6699829101562,749.97998046875,749.5599975585938,749.9400024414062,702714 +2026-07-06 14:30:00+00:00,749.9299926757812,750.1699829101562,749.6199951171875,749.7000122070312,539237 +2026-07-06 14:35:00+00:00,749.7000122070312,749.8599853515625,749.4400024414062,749.6668090820312,459219 +2026-07-06 14:40:00+00:00,749.6500244140625,749.7550048828125,749.0999755859375,749.6699829101562,356776 +2026-07-06 14:45:00+00:00,749.6500244140625,749.8699951171875,749.5,749.75,259281 +2026-07-06 14:50:00+00:00,749.75,750.0399780273438,749.5999755859375,749.8900146484375,439754 +2026-07-06 14:55:00+00:00,749.8599853515625,750.2750244140625,749.7000122070312,750.2750244140625,387027 +2026-07-06 15:00:00+00:00,750.280029296875,750.4199829101562,749.9500122070312,750.1799926757812,407756 +2026-07-06 15:05:00+00:00,750.1749877929688,750.2999877929688,749.9949951171875,750.25,308518 +2026-07-06 15:10:00+00:00,750.260009765625,750.4000244140625,749.8200073242188,750.1099853515625,427011 +2026-07-06 15:15:00+00:00,750.094970703125,750.094970703125,749.6099853515625,749.989990234375,275695 +2026-07-06 15:20:00+00:00,749.989990234375,750.3699951171875,749.760009765625,750.369873046875,369123 +2026-07-06 15:25:00+00:00,750.3300170898438,750.8099975585938,750.219970703125,750.760009765625,777787 +2026-07-06 15:30:00+00:00,750.780029296875,750.9600219726562,750.5900268554688,750.6199951171875,388160 +2026-07-06 15:35:00+00:00,750.6199951171875,750.7050170898438,750.3499755859375,750.6300048828125,324331 +2026-07-06 15:40:00+00:00,750.6300048828125,750.8499755859375,750.5599975585938,750.8099975585938,309989 +2026-07-06 15:45:00+00:00,750.8099975585938,750.9299926757812,750.6508178710938,750.8699951171875,318060 +2026-07-06 15:50:00+00:00,750.8800048828125,750.969970703125,750.6099853515625,750.6300048828125,351942 +2026-07-06 15:55:00+00:00,750.6400146484375,750.9500122070312,750.6199951171875,750.8400268554688,307064 +2026-07-06 16:00:00+00:00,750.8300170898438,750.8699951171875,750.6599731445312,750.7999877929688,196362 +2026-07-06 16:05:00+00:00,750.8049926757812,751.030029296875,750.72998046875,750.9400024414062,335347 +2026-07-06 16:10:00+00:00,750.9249877929688,751.1099853515625,750.8800048828125,750.989990234375,410148 +2026-07-06 16:15:00+00:00,750.97998046875,751.0700073242188,750.8499755859375,750.989990234375,337273 +2026-07-06 16:20:00+00:00,750.989990234375,751.1199951171875,750.8200073242188,750.9000244140625,285370 +2026-07-06 16:25:00+00:00,750.8699951171875,750.9199829101562,750.5499877929688,750.6500244140625,293745 +2026-07-06 16:30:00+00:00,750.6500244140625,750.77001953125,750.469970703125,750.6300048828125,394515 +2026-07-06 16:35:00+00:00,750.6300048828125,750.6599731445312,750.3900146484375,750.5999755859375,268717 +2026-07-06 16:40:00+00:00,750.60009765625,750.760009765625,750.5800170898438,750.719970703125,181265 +2026-07-06 16:45:00+00:00,750.719970703125,751.030029296875,750.5499877929688,751.010009765625,320021 +2026-07-06 16:50:00+00:00,751.02001953125,751.0800170898438,750.6099853515625,750.6099853515625,233763 +2026-07-06 16:55:00+00:00,750.6199951171875,750.7299194335938,750.3699951171875,750.4600219726562,451795 +2026-07-06 17:00:00+00:00,750.47998046875,750.9749755859375,750.405029296875,750.8756713867188,268503 +2026-07-06 17:05:00+00:00,750.8701171875,751.530029296875,750.8699951171875,751.3900146484375,455392 +2026-07-06 17:10:00+00:00,751.3800048828125,751.469970703125,751.1898803710938,751.3499755859375,222312 +2026-07-06 17:15:00+00:00,751.3400268554688,751.4400024414062,750.97998046875,751.0850219726562,560672 +2026-07-06 17:20:00+00:00,751.0800170898438,751.1199951171875,750.8150024414062,750.969970703125,202340 +2026-07-06 17:25:00+00:00,750.969970703125,751.0999755859375,750.6099853515625,750.7000122070312,447552 +2026-07-06 17:30:00+00:00,750.7000122070312,750.75,750.25,750.3494873046875,315372 +2026-07-06 17:35:00+00:00,750.3350219726562,750.530029296875,750.1799926757812,750.344970703125,218173 +2026-07-06 17:40:00+00:00,750.3400268554688,750.3400268554688,749.6300048828125,750.0850219726562,478553 +2026-07-06 17:45:00+00:00,750.0850219726562,750.4099731445312,749.8499755859375,750.296875,178229 +2026-07-06 17:50:00+00:00,750.3099975585938,750.52001953125,750.0499877929688,750.0695190429688,190389 +2026-07-06 17:55:00+00:00,750.0800170898438,750.14501953125,749.9299926757812,750.1298828125,164282 +2026-07-06 18:00:00+00:00,750.1300048828125,750.77001953125,750.1300048828125,750.7100219726562,376150 +2026-07-06 18:05:00+00:00,750.7100219726562,751.1099853515625,750.6199951171875,750.9600219726562,408703 +2026-07-06 18:10:00+00:00,750.9600219726562,751.0599975585938,750.8250122070312,751.010009765625,322665 +2026-07-06 18:15:00+00:00,751.0399780273438,751.52001953125,751.02001953125,751.3699951171875,357395 +2026-07-06 18:20:00+00:00,751.3599853515625,751.5,751.25,751.47998046875,296442 +2026-07-06 18:25:00+00:00,751.47998046875,751.6063842773438,751.280029296875,751.3300170898438,264314 +2026-07-06 18:30:00+00:00,751.3300170898438,751.5180053710938,751.0900268554688,751.1300048828125,328390 +2026-07-06 18:35:00+00:00,751.1199951171875,751.2899780273438,751.010009765625,751.0650024414062,622291 +2026-07-06 18:40:00+00:00,751.0700073242188,751.3599853515625,751.0700073242188,751.239990234375,235840 +2026-07-06 18:45:00+00:00,751.25,751.6680297851562,751.2100219726562,751.5900268554688,260397 +2026-07-06 18:50:00+00:00,751.5900268554688,751.8200073242188,751.530029296875,751.8012084960938,269865 +2026-07-06 18:55:00+00:00,751.8099975585938,752.0250244140625,751.6799926757812,751.9299926757812,393445 +2026-07-06 19:00:00+00:00,751.9400024414062,752.1300048828125,751.6799926757812,751.8599853515625,344140 +2026-07-06 19:05:00+00:00,751.8699951171875,751.97998046875,751.6900024414062,751.77001953125,831736 +2026-07-06 19:10:00+00:00,751.77001953125,751.9299926757812,751.6900024414062,751.7899780273438,365360 +2026-07-06 19:15:00+00:00,751.7999877929688,752.1400146484375,751.6599731445312,752.114990234375,876464 +2026-07-06 19:20:00+00:00,752.1099853515625,752.4099731445312,752.0001220703125,752.2999877929688,684081 +2026-07-06 19:25:00+00:00,752.3099975585938,752.359375,752.1099853515625,752.2899780273438,548469 +2026-07-06 19:30:00+00:00,752.280029296875,752.2899780273438,751.9349975585938,752.0399780273438,632983 +2026-07-06 19:35:00+00:00,752.0449829101562,752.1500244140625,751.739990234375,751.9600219726562,1458343 +2026-07-06 19:40:00+00:00,751.9500122070312,752.0449829101562,751.780029296875,752.030029296875,444293 +2026-07-06 19:45:00+00:00,752.0399780273438,752.219970703125,751.8800048828125,751.9600219726562,925725 +2026-07-06 19:50:00+00:00,751.9600219726562,751.97998046875,751.2000122070312,751.2100219726562,2227157 +2026-07-06 19:55:00+00:00,751.219970703125,751.4000244140625,750.77001953125,751.3099975585938,5168682 +2026-07-07 13:30:00+00:00,750.219970703125,750.9600219726562,749.3800048828125,749.47998046875,2008176 +2026-07-07 13:35:00+00:00,749.4600219726562,749.9199829101562,749.1599731445312,749.510009765625,633195 +2026-07-07 13:40:00+00:00,749.47998046875,750.22998046875,749.1599731445312,750.1500854492188,682340 +2026-07-07 13:45:00+00:00,750.1599731445312,750.2100219726562,749.5,749.6199951171875,622507 +2026-07-07 13:50:00+00:00,749.5900268554688,749.9000244140625,748.739990234375,748.9400024414062,580944 +2026-07-07 13:55:00+00:00,748.9400024414062,749.0499877929688,748.25,748.8499755859375,750127 +2026-07-07 14:00:00+00:00,748.8504028320312,749.2000122070312,748.22998046875,748.5599975585938,448314 +2026-07-07 14:05:00+00:00,748.5900268554688,748.969970703125,748.1199951171875,748.280029296875,383710 +2026-07-07 14:10:00+00:00,748.27001953125,748.2899780273438,746.9600219726562,747.030029296875,777076 +2026-07-07 14:15:00+00:00,747.0108032226562,747.5050048828125,746.469970703125,747.5050048828125,743850 +2026-07-07 14:20:00+00:00,747.5,747.7100219726562,746.6199951171875,746.6400146484375,421552 +2026-07-07 14:25:00+00:00,746.6699829101562,746.719970703125,746.0900268554688,746.7000122070312,838358 +2026-07-07 14:30:00+00:00,746.6799926757812,747.010009765625,746.2899780273438,746.3800048828125,687134 +2026-07-07 14:35:00+00:00,746.3699951171875,746.5499877929688,745.8699951171875,745.8800048828125,632548 +2026-07-07 14:40:00+00:00,745.8800048828125,746.1400146484375,745.2100219726562,745.7899780273438,775993 +2026-07-07 14:45:00+00:00,745.7949829101562,746.4849853515625,745.7000122070312,746.1799926757812,496856 +2026-07-07 14:50:00+00:00,746.1900024414062,746.7650146484375,745.97998046875,746.6199951171875,490024 +2026-07-07 14:55:00+00:00,746.6199951171875,746.9199829101562,746.4299926757812,746.4450073242188,408609 +2026-07-07 15:00:00+00:00,746.4600219726562,746.5700073242188,745.9400024414062,746.3699951171875,482982 +2026-07-07 15:05:00+00:00,746.3699951171875,746.6699829101562,746.1799926757812,746.5650024414062,335094 +2026-07-07 15:10:00+00:00,746.5650024414062,746.6799926757812,746.0700073242188,746.0701293945312,364875 +2026-07-07 15:15:00+00:00,746.0700073242188,746.1099853515625,745.760009765625,745.9500122070312,299834 +2026-07-07 15:20:00+00:00,745.9500122070312,746.3300170898438,745.780029296875,745.8900146484375,230533 +2026-07-07 15:25:00+00:00,745.9199829101562,746.3690185546875,745.77001953125,746.3690185546875,232311 +2026-07-07 15:30:00+00:00,746.3599853515625,746.4400024414062,745.9299926757812,745.9299926757812,224539 +2026-07-07 15:35:00+00:00,745.9400024414062,746.219970703125,745.6400146484375,745.6649780273438,245432 +2026-07-07 15:40:00+00:00,745.6599731445312,746.4279174804688,745.4299926757812,746.4279174804688,259401 +2026-07-07 15:45:00+00:00,746.4199829101562,747.2100219726562,746.4000244140625,746.630126953125,517932 +2026-07-07 15:50:00+00:00,746.6300048828125,747.2999877929688,746.6199951171875,747.02001953125,325676 +2026-07-07 15:55:00+00:00,747.010009765625,747.4500122070312,746.780029296875,747.3599853515625,262281 +2026-07-07 16:00:00+00:00,747.3800048828125,747.7899780273438,747.2600708007812,747.6500244140625,332994 +2026-07-07 16:05:00+00:00,747.6699829101562,748.0700073242188,747.25,747.489990234375,345258 +2026-07-07 16:10:00+00:00,747.489990234375,748.1599731445312,747.489990234375,748.0399780273438,270305 +2026-07-07 16:15:00+00:00,748.0499877929688,748.2000122070312,747.8400268554688,748.0399780273438,394558 +2026-07-07 16:20:00+00:00,748.0399780273438,748.8400268554688,748.02001953125,748.5399169921875,533271 +2026-07-07 16:25:00+00:00,748.5349731445312,748.989990234375,748.47998046875,748.77001953125,366371 +2026-07-07 16:30:00+00:00,748.7650146484375,749.0198974609375,748.4299926757812,748.60498046875,424389 +2026-07-07 16:35:00+00:00,748.6099853515625,748.8400268554688,748.239990234375,748.8150024414062,223593 +2026-07-07 16:40:00+00:00,748.8200073242188,748.9400024414062,748.5700073242188,748.8699951171875,406224 +2026-07-07 16:45:00+00:00,748.8599853515625,749.1300048828125,748.8499755859375,749.0399780273438,443469 +2026-07-07 16:50:00+00:00,749.0599975585938,749.1199951171875,748.75,748.7899780273438,288795 +2026-07-07 16:55:00+00:00,748.8099975585938,748.9600219726562,748.5,748.9600219726562,323810 +2026-07-07 17:00:00+00:00,748.9600219726562,749.1699829101562,748.8599853515625,749.1699829101562,201021 +2026-07-07 17:05:00+00:00,749.1400146484375,749.3400268554688,749.0900268554688,749.1599731445312,490250 +2026-07-07 17:10:00+00:00,749.155029296875,749.1799926757812,748.740478515625,748.8099975585938,190037 +2026-07-07 17:15:00+00:00,748.8300170898438,748.8599853515625,748.4199829101562,748.6099853515625,235662 +2026-07-07 17:20:00+00:00,748.6300048828125,749.1502075195312,748.5499877929688,748.9990844726562,235895 +2026-07-07 17:25:00+00:00,748.989990234375,749.0800170898438,748.7999877929688,748.8400268554688,228833 +2026-07-07 17:30:00+00:00,748.8499755859375,749.1799926757812,748.8300170898438,749.0599975585938,221909 +2026-07-07 17:35:00+00:00,749.0399780273438,749.219970703125,748.7999877929688,749.10498046875,250926 +2026-07-07 17:40:00+00:00,749.1099853515625,749.27001953125,748.9400024414062,749.125,198795 +2026-07-07 17:45:00+00:00,749.1300048828125,749.1400146484375,748.739990234375,748.8800048828125,311444 +2026-07-07 17:50:00+00:00,748.9000244140625,749.030029296875,748.6500244140625,748.8073120117188,160103 +2026-07-07 17:55:00+00:00,748.7999877929688,749.1799926757812,748.72998046875,749.1799926757812,190357 +2026-07-07 18:00:00+00:00,749.1799926757812,749.27001953125,748.8900146484375,749.0900268554688,305510 +2026-07-07 18:05:00+00:00,749.094970703125,749.2000122070312,748.8300170898438,748.9400024414062,178724 +2026-07-07 18:10:00+00:00,748.969970703125,749.2000122070312,748.9000244140625,748.9949951171875,346659 +2026-07-07 18:15:00+00:00,749.010009765625,749.1900024414062,748.8900146484375,749.0499877929688,406214 +2026-07-07 18:20:00+00:00,749.0499877929688,749.2999877929688,748.9299926757812,749.1400146484375,214625 +2026-07-07 18:25:00+00:00,749.1500244140625,749.260009765625,748.8699951171875,748.989990234375,189553 +2026-07-07 18:30:00+00:00,749.0,749.0700073242188,748.5700073242188,748.7100219726562,418308 +2026-07-07 18:35:00+00:00,748.6900024414062,749.0399780273438,748.5399780273438,748.9099731445312,257120 +2026-07-07 18:40:00+00:00,748.9099731445312,748.9600219726562,748.4000244140625,748.7266235351562,408160 +2026-07-07 18:45:00+00:00,748.72998046875,748.8400268554688,747.6599731445312,748.155029296875,446637 +2026-07-07 18:50:00+00:00,748.1699829101562,748.239990234375,747.469970703125,747.7899780273438,633556 +2026-07-07 18:55:00+00:00,747.780029296875,747.9000244140625,747.4199829101562,747.510009765625,505309 +2026-07-07 19:00:00+00:00,747.5,747.7000122070312,746.8200073242188,747.2000122070312,878388 +2026-07-07 19:05:00+00:00,747.2100219726562,747.5700073242188,746.6699829101562,746.7794799804688,701270 +2026-07-07 19:10:00+00:00,746.780029296875,747.030029296875,746.5499877929688,746.8201293945312,770342 +2026-07-07 19:15:00+00:00,746.7999877929688,746.8699951171875,746.0,746.6900024414062,943688 +2026-07-07 19:20:00+00:00,746.665771484375,747.0599975585938,746.4299926757812,747.0399780273438,564601 +2026-07-07 19:25:00+00:00,747.0399780273438,747.0599975585938,746.5499877929688,746.7000122070312,460710 +2026-07-07 19:30:00+00:00,746.6699829101562,747.27001953125,746.6599731445312,747.1925048828125,606140 +2026-07-07 19:35:00+00:00,747.2000122070312,747.2000122070312,746.6699829101562,746.77001953125,525934 +2026-07-07 19:40:00+00:00,746.760009765625,746.8200073242188,746.3800048828125,746.52001953125,704955 +2026-07-07 19:45:00+00:00,746.530029296875,747.0599975585938,746.5,746.989990234375,990271 +2026-07-07 19:50:00+00:00,747.010009765625,747.77001953125,747.010009765625,747.7449951171875,1271051 +2026-07-07 19:55:00+00:00,747.719970703125,747.969970703125,747.1400146484375,747.7000122070312,2942974 +2026-07-08 13:30:00+00:00,743.1599731445312,744.0850219726562,742.6400146484375,743.6599731445312,3113957 +2026-07-08 13:35:00+00:00,743.6599731445312,744.169921875,743.0399780273438,743.9749755859375,835165 +2026-07-08 13:40:00+00:00,743.9500122070312,744.75,743.8099975585938,744.3400268554688,603095 +2026-07-08 13:45:00+00:00,744.3099975585938,744.9249877929688,743.5,743.6400146484375,1008334 +2026-07-08 13:50:00+00:00,743.6300048828125,744.4600219726562,743.3499755859375,743.6599731445312,589677 +2026-07-08 13:55:00+00:00,743.6599731445312,744.6300048828125,743.22998046875,744.02001953125,703915 +2026-07-08 14:00:00+00:00,744.030029296875,744.47998046875,743.5900268554688,743.8098754882812,549242 +2026-07-08 14:05:00+00:00,743.7899780273438,744.7000122070312,743.77001953125,744.260009765625,556244 +2026-07-08 14:10:00+00:00,744.239990234375,744.4299926757812,743.0599975585938,743.219970703125,595716 +2026-07-08 14:15:00+00:00,743.2000122070312,743.5999755859375,742.6799926757812,743.2000122070312,578912 +2026-07-08 14:20:00+00:00,743.1799926757812,744.5399780273438,742.9804077148438,743.7899780273438,632267 +2026-07-08 14:25:00+00:00,743.780029296875,744.4299926757812,742.760009765625,743.1099853515625,468132 +2026-07-08 14:30:00+00:00,743.0900268554688,743.6900024414062,742.72998046875,743.3099975585938,478327 +2026-07-08 14:35:00+00:00,743.2999877929688,743.2999877929688,742.2337036132812,742.3200073242188,580585 +2026-07-08 14:40:00+00:00,742.27001953125,742.72998046875,741.9500122070312,742.4400024414062,505123 +2026-07-08 14:45:00+00:00,742.4299926757812,742.47998046875,741.2899780273438,741.2899780273438,582546 +2026-07-08 14:50:00+00:00,741.2899780273438,742.8363037109375,740.9299926757812,742.1199951171875,812582 +2026-07-08 14:55:00+00:00,742.0999755859375,742.7100219726562,741.56201171875,741.8400268554688,325792 +2026-07-08 15:00:00+00:00,741.8300170898438,742.030029296875,741.4199829101562,741.5399780273438,235469 +2026-07-08 15:05:00+00:00,741.5349731445312,741.9299926757812,741.3900146484375,741.5050048828125,342367 +2026-07-08 15:10:00+00:00,741.5,741.8400268554688,740.9500122070312,741.1199951171875,351963 +2026-07-08 15:15:00+00:00,741.0999755859375,741.5125122070312,740.3800048828125,741.3200073242188,597418 +2026-07-08 15:20:00+00:00,741.2999877929688,741.5599975585938,740.0499877929688,740.1500244140625,560931 +2026-07-08 15:25:00+00:00,740.1400146484375,740.3300170898438,739.5499877929688,739.9400024414062,698137 +2026-07-08 15:30:00+00:00,739.9600219726562,740.7576293945312,739.510009765625,740.7399291992188,572448 +2026-07-08 15:35:00+00:00,740.7100219726562,741.27001953125,740.4099731445312,740.5900268554688,396502 +2026-07-08 15:40:00+00:00,740.5999755859375,741.1900024414062,740.5599975585938,740.739990234375,232555 +2026-07-08 15:45:00+00:00,740.719970703125,741.010009765625,740.3200073242188,740.5,290627 +2026-07-08 15:50:00+00:00,740.4949951171875,740.5900268554688,740.0198974609375,740.47998046875,476006 +2026-07-08 15:55:00+00:00,740.47998046875,740.7999877929688,740.1699829101562,740.6400146484375,430967 +2026-07-08 16:00:00+00:00,740.6799926757812,741.260009765625,740.6099853515625,741.25,390387 +2026-07-08 16:05:00+00:00,741.239990234375,741.75,741.0900268554688,741.6599731445312,322584 +2026-07-08 16:10:00+00:00,741.6599731445312,742.3499755859375,741.6400146484375,742.27001953125,348047 +2026-07-08 16:15:00+00:00,742.27001953125,742.684326171875,741.97998046875,742.5800170898438,437682 +2026-07-08 16:20:00+00:00,742.5800170898438,743.22998046875,742.5399780273438,742.72998046875,400624 +2026-07-08 16:25:00+00:00,742.739990234375,743.469970703125,742.6699829101562,743.0999755859375,264525 +2026-07-08 16:30:00+00:00,743.0900268554688,743.8270263671875,742.97998046875,743.0250244140625,328898 +2026-07-08 16:35:00+00:00,743.02001953125,743.5399780273438,742.4500122070312,743.219970703125,507501 +2026-07-08 16:40:00+00:00,743.1900024414062,744.2177124023438,742.8900146484375,743.9400024414062,431671 +2026-07-08 16:45:00+00:00,743.9299926757812,744.280029296875,743.5800170898438,744.27001953125,417133 +2026-07-08 16:50:00+00:00,744.2899780273438,744.6099853515625,744.0900268554688,744.4000244140625,366260 +2026-07-08 16:55:00+00:00,744.4000244140625,744.75,744.22998046875,744.6799926757812,300279 +2026-07-08 17:00:00+00:00,744.6599731445312,744.7000122070312,744.1099853515625,744.2899780273438,322369 +2026-07-08 17:05:00+00:00,744.2899780273438,744.75,744.1699829101562,744.280029296875,309047 +2026-07-08 17:10:00+00:00,744.2899780273438,744.6300048828125,743.9849853515625,744.280029296875,352487 +2026-07-08 17:15:00+00:00,744.2899780273438,744.989990234375,744.280029296875,744.9400024414062,277739 +2026-07-08 17:20:00+00:00,744.9299926757812,745.4600219726562,744.8699951171875,745.4400024414062,352432 +2026-07-08 17:25:00+00:00,745.4500122070312,745.780029296875,745.22998046875,745.719970703125,256535 +2026-07-08 17:30:00+00:00,745.72998046875,746.0900268554688,745.5499877929688,745.5499877929688,313575 +2026-07-08 17:35:00+00:00,745.5499877929688,745.719970703125,745.2550048828125,745.260009765625,362237 +2026-07-08 17:40:00+00:00,745.27001953125,745.3200073242188,744.7000122070312,744.9500122070312,349507 +2026-07-08 17:45:00+00:00,744.9400024414062,744.97998046875,744.260009765625,744.3599853515625,303764 +2026-07-08 17:50:00+00:00,744.3800048828125,744.8800048828125,744.2324829101562,744.4299926757812,208058 +2026-07-08 17:55:00+00:00,744.4299926757812,744.469970703125,743.9500122070312,744.3900146484375,250451 +2026-07-08 18:00:00+00:00,744.3800048828125,745.4500122070312,744.0,745.2899780273438,653580 +2026-07-08 18:05:00+00:00,745.239990234375,745.3800048828125,744.8699951171875,745.27001953125,222634 +2026-07-08 18:10:00+00:00,745.25,745.510009765625,744.9199829101562,745.280029296875,287744 +2026-07-08 18:15:00+00:00,745.2999877929688,745.4099731445312,744.7224731445312,745.1799926757812,283448 +2026-07-08 18:20:00+00:00,745.1599731445312,745.3099975585938,744.8800048828125,744.9099731445312,191908 +2026-07-08 18:25:00+00:00,744.9400024414062,745.22998046875,744.6699829101562,744.6699829101562,230637 +2026-07-08 18:30:00+00:00,744.6699829101562,744.7797241210938,744.260009765625,744.4400024414062,263695 +2026-07-08 18:35:00+00:00,744.4600219726562,745.25,744.3300170898438,745.1799926757812,268681 +2026-07-08 18:40:00+00:00,745.1699829101562,745.3099975585938,744.5698852539062,745.0399780273438,214897 +2026-07-08 18:45:00+00:00,745.0800170898438,745.3300170898438,744.7999877929688,745.27001953125,189434 +2026-07-08 18:50:00+00:00,745.260009765625,745.5,745.030029296875,745.1400146484375,389759 +2026-07-08 18:55:00+00:00,745.1500244140625,745.3300170898438,744.780029296875,745.3300170898438,201555 +2026-07-08 19:00:00+00:00,745.3400268554688,745.7249755859375,745.0499877929688,745.260009765625,362839 +2026-07-08 19:05:00+00:00,745.25,745.4099731445312,744.989990234375,745.2999877929688,240649 +2026-07-08 19:10:00+00:00,745.3200073242188,745.3400268554688,744.7999877929688,744.8900146484375,327549 +2026-07-08 19:15:00+00:00,744.8900146484375,745.1500244140625,744.6799926757812,744.8300170898438,251633 +2026-07-08 19:20:00+00:00,744.8400268554688,745.27001953125,744.8099975585938,745.030029296875,241820 +2026-07-08 19:25:00+00:00,745.030029296875,745.3599853515625,744.9400024414062,745.1900024414062,251953 +2026-07-08 19:30:00+00:00,745.2000122070312,745.3400268554688,744.8300170898438,744.9199829101562,277760 +2026-07-08 19:35:00+00:00,744.9249877929688,745.3900146484375,744.8350219726562,745.239990234375,365064 +2026-07-08 19:40:00+00:00,745.219970703125,745.3699951171875,744.8900146484375,745.3300170898438,385543 +2026-07-08 19:45:00+00:00,745.3300170898438,745.3699951171875,744.4099731445312,744.7999877929688,850847 +2026-07-08 19:50:00+00:00,744.780029296875,745.7000122070312,744.5999755859375,745.6599731445312,851758 +2026-07-08 19:55:00+00:00,745.739990234375,746.1500244140625,745.27001953125,745.2899780273438,3054338 +2026-07-09 13:30:00+00:00,747.3499755859375,747.5,745.6799926757812,747.3499755859375,2486544 +2026-07-09 13:35:00+00:00,747.3599853515625,748.3579711914062,747.0999755859375,748.1199951171875,704785 +2026-07-09 13:40:00+00:00,748.1500244140625,748.510009765625,747.489990234375,748.4000244140625,461671 +2026-07-09 13:45:00+00:00,748.4000244140625,748.760009765625,747.739990234375,748.1099853515625,475555 +2026-07-09 13:50:00+00:00,748.0999755859375,749.1099853515625,747.8150024414062,748.9500122070312,1449695 +2026-07-09 13:55:00+00:00,748.97998046875,749.22998046875,748.5599975585938,748.6699829101562,457388 +2026-07-09 14:00:00+00:00,748.6900024414062,749.02001953125,748.5009765625,748.6900024414062,329240 +2026-07-09 14:05:00+00:00,748.6699829101562,748.8499755859375,747.969970703125,747.969970703125,423110 +2026-07-09 14:10:00+00:00,747.9600219726562,748.0,747.27001953125,747.5499877929688,471240 +2026-07-09 14:15:00+00:00,747.5599975585938,747.5599975585938,745.9299926757812,746.2586059570312,1456170 +2026-07-09 14:20:00+00:00,746.260009765625,746.989990234375,745.5900268554688,746.9500122070312,703987 +2026-07-09 14:25:00+00:00,746.9299926757812,748.1900024414062,746.75,747.8798828125,697765 +2026-07-09 14:30:00+00:00,747.8599853515625,748.0650024414062,747.0999755859375,747.6500244140625,225965 +2026-07-09 14:35:00+00:00,747.6500244140625,748.47998046875,747.5499877929688,748.4000244140625,212739 +2026-07-09 14:40:00+00:00,748.4000244140625,748.47998046875,747.8099975585938,747.8800048828125,192076 +2026-07-09 14:45:00+00:00,747.9099731445312,748.3800048828125,747.8400268554688,748.0499877929688,226563 +2026-07-09 14:50:00+00:00,748.0599975585938,748.0599975585938,747.25,747.969970703125,411178 +2026-07-09 14:55:00+00:00,747.9600219726562,748.9199829101562,747.9600219726562,748.72998046875,314693 +2026-07-09 15:00:00+00:00,748.719970703125,748.9400024414062,748.5999755859375,748.860107421875,297352 +2026-07-09 15:05:00+00:00,748.8800048828125,749.5599975585938,748.8400268554688,749.489990234375,369154 +2026-07-09 15:10:00+00:00,749.5,749.5800170898438,749.0999755859375,749.2000122070312,293939 +2026-07-09 15:15:00+00:00,749.1900024414062,749.5900268554688,748.97998046875,749.219970703125,316150 +2026-07-09 15:20:00+00:00,749.239990234375,749.9600219726562,749.2100219726562,749.9000244140625,215873 +2026-07-09 15:25:00+00:00,749.9080200195312,749.97998046875,749.719970703125,749.7999877929688,324864 +2026-07-09 15:30:00+00:00,749.780029296875,749.7999877929688,749.4849853515625,749.5800170898438,215318 +2026-07-09 15:35:00+00:00,749.5499877929688,749.8800048828125,749.52001953125,749.8699951171875,182820 +2026-07-09 15:40:00+00:00,749.8699951171875,750.25,749.80078125,750.1099853515625,263604 +2026-07-09 15:45:00+00:00,750.0999755859375,750.25,749.9299926757812,750.1599731445312,163099 +2026-07-09 15:50:00+00:00,750.1699829101562,750.2000122070312,749.8699951171875,749.9199829101562,185723 +2026-07-09 15:55:00+00:00,749.9199829101562,750.0850219726562,749.7999877929688,749.8699951171875,193083 +2026-07-09 16:00:00+00:00,749.8800048828125,750.4400024414062,749.8699951171875,750.3300170898438,258866 +2026-07-09 16:05:00+00:00,750.3200073242188,750.5700073242188,750.3200073242188,750.4400024414062,225574 +2026-07-09 16:10:00+00:00,750.4600219726562,750.5499877929688,750.3499755859375,750.5250244140625,183901 +2026-07-09 16:15:00+00:00,750.510009765625,750.6699829101562,750.3800048828125,750.5593872070312,201571 +2026-07-09 16:20:00+00:00,750.5399780273438,750.8200073242188,750.4500122070312,750.7999877929688,280654 +2026-07-09 16:25:00+00:00,750.7899780273438,750.8099975585938,750.573974609375,750.6400146484375,1491905 +2026-07-09 16:30:00+00:00,750.6400146484375,750.89990234375,750.47998046875,750.47998046875,266054 +2026-07-09 16:35:00+00:00,750.4749755859375,750.5900268554688,750.3300170898438,750.5800170898438,279523 +2026-07-09 16:40:00+00:00,750.5900268554688,750.7899780273438,750.5900268554688,750.6900024414062,183015 +2026-07-09 16:45:00+00:00,750.6900024414062,750.75,750.3699951171875,750.47998046875,181236 +2026-07-09 16:50:00+00:00,750.47998046875,750.60498046875,750.3599853515625,750.4199829101562,200371 +2026-07-09 16:55:00+00:00,750.4100952148438,750.4949951171875,750.239990234375,750.4400024414062,663809 +2026-07-09 17:00:00+00:00,750.4500122070312,750.8400268554688,750.4000244140625,750.719970703125,174654 +2026-07-09 17:05:00+00:00,750.7000122070312,751.2200927734375,750.6400146484375,751.125,304715 +2026-07-09 17:10:00+00:00,751.1199951171875,751.3900146484375,751.0800170898438,751.22998046875,246238 +2026-07-09 17:15:00+00:00,751.22998046875,751.5850219726562,751.219970703125,751.5399780273438,168952 +2026-07-09 17:20:00+00:00,751.5499877929688,751.6699829101562,751.3800048828125,751.4500122070312,250581 +2026-07-09 17:25:00+00:00,751.4550170898438,751.7899780273438,751.4500122070312,751.7550048828125,244090 +2026-07-09 17:30:00+00:00,751.760009765625,751.8300170898438,751.4500122070312,751.6300048828125,300959 +2026-07-09 17:35:00+00:00,751.6104736328125,751.9000244140625,751.5900268554688,751.7100219726562,211758 +2026-07-09 17:40:00+00:00,751.719970703125,751.7999877929688,751.510009765625,751.7000122070312,182383 +2026-07-09 17:45:00+00:00,751.7100219726562,751.969970703125,751.6900024414062,751.8400268554688,272284 +2026-07-09 17:50:00+00:00,751.8499755859375,751.9099731445312,751.6799926757812,751.72998046875,235938 +2026-07-09 17:55:00+00:00,751.719970703125,751.75,751.1799926757812,751.6300048828125,322261 +2026-07-09 18:00:00+00:00,751.625,751.72998046875,751.4400024414062,751.5250244140625,292088 +2026-07-09 18:05:00+00:00,751.5250244140625,751.8099975585938,751.510009765625,751.7000122070312,288164 +2026-07-09 18:10:00+00:00,751.7000122070312,751.8300170898438,751.6300048828125,751.739990234375,243271 +2026-07-09 18:15:00+00:00,751.739990234375,751.864990234375,751.5499877929688,751.6300048828125,219393 +2026-07-09 18:20:00+00:00,751.64501953125,751.64501953125,751.3400268554688,751.344970703125,317386 +2026-07-09 18:25:00+00:00,751.3499755859375,751.4505004882812,751.239990234375,751.4505004882812,309616 +2026-07-09 18:30:00+00:00,751.4500122070312,751.5894775390625,751.22998046875,751.27001953125,282941 +2026-07-09 18:35:00+00:00,751.260009765625,751.3499755859375,751.1027221679688,751.14501953125,293451 +2026-07-09 18:40:00+00:00,751.14501953125,751.3300170898438,751.0399780273438,751.2999877929688,488916 +2026-07-09 18:45:00+00:00,751.2899780273438,751.3400268554688,751.1099853515625,751.2899780273438,354478 +2026-07-09 18:50:00+00:00,751.2899780273438,751.3400268554688,751.1099853515625,751.1265869140625,515492 +2026-07-09 18:55:00+00:00,751.1099853515625,751.1300048828125,750.8599853515625,751.0499267578125,382493 +2026-07-09 19:00:00+00:00,751.0499877929688,751.0700073242188,750.72998046875,750.8300170898438,407176 +2026-07-09 19:05:00+00:00,750.8201293945312,751.010009765625,750.6600952148438,750.780029296875,307281 +2026-07-09 19:10:00+00:00,750.77001953125,751.030029296875,750.6699829101562,750.9000244140625,296623 +2026-07-09 19:15:00+00:00,750.9000244140625,751.469970703125,750.8400268554688,751.2999877929688,386727 +2026-07-09 19:20:00+00:00,751.2999877929688,751.4299926757812,751.1400146484375,751.1799926757812,370584 +2026-07-09 19:25:00+00:00,751.1900024414062,751.260009765625,751.0499877929688,751.0999755859375,305276 +2026-07-09 19:30:00+00:00,751.0900268554688,751.1199951171875,750.9299926757812,751.094970703125,435133 +2026-07-09 19:35:00+00:00,751.0999755859375,751.3699951171875,751.0900268554688,751.27001953125,338426 +2026-07-09 19:40:00+00:00,751.280029296875,751.47998046875,751.1400146484375,751.405029296875,423006 +2026-07-09 19:45:00+00:00,751.4000244140625,751.469970703125,751.25,751.25,666632 +2026-07-09 19:50:00+00:00,751.25,751.25,750.8300170898438,750.8300170898438,1824225 +2026-07-09 19:55:00+00:00,750.8499755859375,751.6699829101562,750.8400268554688,751.6500244140625,2520041 +2026-07-10 13:30:00+00:00,752.0499877929688,752.8599853515625,752.010009765625,752.5900268554688,1607405 +2026-07-10 13:35:00+00:00,752.5999755859375,753.219970703125,752.47998046875,752.6099853515625,391046 +2026-07-10 13:40:00+00:00,752.5900268554688,752.6400146484375,751.7999877929688,752.219970703125,489799 +2026-07-10 13:45:00+00:00,752.219970703125,753.1599731445312,752.0850219726562,753.030029296875,343826 +2026-07-10 13:50:00+00:00,753.0150146484375,753.1900024414062,752.6599731445312,752.885009765625,401390 +2026-07-10 13:55:00+00:00,752.8699951171875,753.2349853515625,752.6099853515625,752.9149780273438,375957 +2026-07-10 14:00:00+00:00,752.9199829101562,753.3499755859375,752.780029296875,753.1199951171875,310003 +2026-07-10 14:05:00+00:00,753.1199951171875,753.25,752.4909057617188,753.0700073242188,308962 +2026-07-10 14:10:00+00:00,753.0900268554688,753.1400146484375,752.6201171875,752.6849975585938,286316 +2026-07-10 14:15:00+00:00,752.697021484375,752.969970703125,752.3400268554688,752.6799926757812,339067 +2026-07-10 14:20:00+00:00,752.6699829101562,752.8300170898438,752.1099853515625,752.5399780273438,338961 +2026-07-10 14:25:00+00:00,752.530029296875,753.135009765625,752.1500244140625,752.586181640625,362496 +2026-07-10 14:30:00+00:00,752.5858764648438,753.25,748.0999755859375,750.9000244140625,2744953 +2026-07-10 14:35:00+00:00,750.97998046875,752.0599975585938,750.4299926757812,751.6900024414062,744224 +2026-07-10 14:40:00+00:00,751.7000122070312,752.2899780273438,751.3099975585938,752.1099853515625,463649 +2026-07-10 14:45:00+00:00,752.0999755859375,752.469970703125,751.614990234375,752.4099731445312,210520 +2026-07-10 14:50:00+00:00,752.4099731445312,752.6199951171875,751.9199829101562,751.9500122070312,342414 +2026-07-10 14:55:00+00:00,751.9299926757812,752.03857421875,751.0800170898438,751.2199096679688,342347 +2026-07-10 15:00:00+00:00,751.1799926757812,751.4400024414062,750.8900146484375,750.97998046875,290927 +2026-07-10 15:05:00+00:00,751.0,751.760009765625,750.6519775390625,751.760009765625,223687 +2026-07-10 15:10:00+00:00,751.75,752.0297241210938,751.6199951171875,751.9400024414062,156974 +2026-07-10 15:15:00+00:00,751.9299926757812,753.1599731445312,751.9299926757812,752.6900024414062,338334 +2026-07-10 15:20:00+00:00,752.7000122070312,753.0850219726562,752.4199829101562,753.030029296875,208873 +2026-07-10 15:25:00+00:00,753.0499877929688,753.4199829101562,753.030029296875,753.25,311585 +2026-07-10 15:30:00+00:00,753.25,753.3900146484375,752.8800048828125,753.0,313342 +2026-07-10 15:35:00+00:00,753.0499877929688,753.0499877929688,752.3300170898438,752.4299926757812,244694 +2026-07-10 15:40:00+00:00,752.4398803710938,752.510009765625,751.3800048828125,752.030029296875,330081 +2026-07-10 15:45:00+00:00,752.0399780273438,752.6799926757812,751.5936889648438,752.469970703125,518279 +2026-07-10 15:50:00+00:00,752.4500122070312,752.9349975585938,752.364013671875,752.8499755859375,152020 +2026-07-10 15:55:00+00:00,752.8499755859375,752.9099731445312,752.510009765625,752.8175048828125,159677 +2026-07-10 16:00:00+00:00,752.8099975585938,753.3499755859375,752.8099975585938,753.1599731445312,253414 +2026-07-10 16:05:00+00:00,753.1799926757812,753.2100219726562,752.8499755859375,752.9600219726562,205122 +2026-07-10 16:10:00+00:00,752.969970703125,753.280029296875,752.8400268554688,753.2100219726562,184791 +2026-07-10 16:15:00+00:00,753.239990234375,753.6900024414062,753.22998046875,753.5800170898438,367214 +2026-07-10 16:20:00+00:00,753.5800170898438,753.6375122070312,753.1599731445312,753.3800048828125,240851 +2026-07-10 16:25:00+00:00,753.3900146484375,753.4299926757812,753.1699829101562,753.2100219726562,209731 +2026-07-10 16:30:00+00:00,753.2100219726562,753.590087890625,753.2100219726562,753.47998046875,313520 +2026-07-10 16:35:00+00:00,753.489990234375,753.5900268554688,753.030029296875,753.2899780273438,245833 +2026-07-10 16:40:00+00:00,753.2899780273438,753.6500244140625,753.25,753.6199951171875,180911 +2026-07-10 16:45:00+00:00,753.6099853515625,753.9299926757812,753.5900268554688,753.8200073242188,342896 +2026-07-10 16:50:00+00:00,753.8150024414062,754.0499877929688,753.780029296875,753.97998046875,448965 +2026-07-10 16:55:00+00:00,753.9702758789062,754.1400146484375,753.8499755859375,754.010009765625,211146 +2026-07-10 17:00:00+00:00,754.010009765625,754.030029296875,753.6099853515625,753.7100219726562,181495 +2026-07-10 17:05:00+00:00,753.719970703125,753.8300170898438,753.6300048828125,753.6400146484375,134399 +2026-07-10 17:10:00+00:00,753.6456298828125,753.8400268554688,753.47998046875,753.8040161132812,139771 +2026-07-10 17:15:00+00:00,753.780029296875,754.0399780273438,753.760009765625,753.8599853515625,2138956 +2026-07-10 17:20:00+00:00,753.8599853515625,754.0,753.8400268554688,753.969970703125,145929 +2026-07-10 17:25:00+00:00,753.969970703125,754.0599975585938,753.8966064453125,754.010009765625,192008 +2026-07-10 17:30:00+00:00,754.02001953125,754.1649780273438,753.875,754.0198974609375,222825 +2026-07-10 17:35:00+00:00,754.0150146484375,754.4099731445312,753.97998046875,754.2459716796875,309887 +2026-07-10 17:40:00+00:00,754.22998046875,754.3200073242188,754.0800170898438,754.114990234375,225041 +2026-07-10 17:45:00+00:00,754.1199951171875,754.3300170898438,754.1099853515625,754.2899780273438,169081 +2026-07-10 17:50:00+00:00,754.2999877929688,754.3800048828125,754.239990234375,754.27001953125,161166 +2026-07-10 17:55:00+00:00,754.260009765625,754.2999877929688,753.9299926757812,753.989990234375,200422 +2026-07-10 18:00:00+00:00,754.0,754.1799926757812,753.9299926757812,754.0599975585938,453796 +2026-07-10 18:05:00+00:00,754.0599975585938,754.3200073242188,754.0599975585938,754.239990234375,267686 +2026-07-10 18:10:00+00:00,754.25,754.5999755859375,754.2100219726562,754.2899780273438,309509 +2026-07-10 18:15:00+00:00,754.280029296875,754.3400268554688,754.1199951171875,754.219970703125,219111 +2026-07-10 18:20:00+00:00,754.2100219726562,754.3900146484375,754.0800170898438,754.3150024414062,245144 +2026-07-10 18:25:00+00:00,754.3150024414062,754.719970703125,754.3150024414062,754.4299926757812,380133 +2026-07-10 18:30:00+00:00,754.4199829101562,754.5800170898438,754.3599853515625,754.510009765625,230429 +2026-07-10 18:35:00+00:00,754.52001953125,754.530029296875,754.3099975585938,754.4099731445312,196853 +2026-07-10 18:40:00+00:00,754.4199829101562,754.6199951171875,754.3699951171875,754.5075073242188,246786 +2026-07-10 18:45:00+00:00,754.489990234375,754.5999755859375,754.469970703125,754.510009765625,214333 +2026-07-10 18:50:00+00:00,754.5158081054688,754.6199951171875,754.4500122070312,754.5700073242188,210078 +2026-07-10 18:55:00+00:00,754.5499877929688,754.6599731445312,754.469970703125,754.4949951171875,284786 +2026-07-10 19:00:00+00:00,754.4949951171875,755.0499877929688,754.4550170898438,754.969970703125,1099158 +2026-07-10 19:05:00+00:00,754.97998046875,755.1699829101562,754.8599853515625,754.9199829101562,412594 +2026-07-10 19:10:00+00:00,754.9199829101562,755.1500244140625,754.9099731445312,755.1199951171875,459634 +2026-07-10 19:15:00+00:00,755.1199951171875,755.1799926757812,754.9219970703125,755.02001953125,461031 +2026-07-10 19:20:00+00:00,755.02001953125,755.0599975585938,754.8800048828125,754.9450073242188,378636 +2026-07-10 19:25:00+00:00,754.9299926757812,755.1099853515625,754.9299926757812,754.9600219726562,529890 +2026-07-10 19:30:00+00:00,754.9600219726562,755.1699829101562,754.786376953125,754.9400024414062,1047153 +2026-07-10 19:35:00+00:00,754.9500122070312,755.1400146484375,754.8599853515625,755.030029296875,578388 +2026-07-10 19:40:00+00:00,755.0399780273438,755.219970703125,755.02001953125,755.030029296875,688105 +2026-07-10 19:45:00+00:00,755.02001953125,755.1699829101562,754.9400024414062,755.0999755859375,1494252 +2026-07-10 19:50:00+00:00,755.1099853515625,755.4199829101562,755.02001953125,755.0999755859375,1727368 +2026-07-10 19:55:00+00:00,755.0800170898438,755.1900024414062,754.5700073242188,754.9000244140625,2320555 +2026-07-13 13:30:00+00:00,752.469970703125,753.9099731445312,752.4000244140625,753.4249877929688,1766189 +2026-07-13 13:35:00+00:00,753.4299926757812,753.780029296875,753.0399780273438,753.219970703125,739583 +2026-07-13 13:40:00+00:00,753.219970703125,753.219970703125,752.5399780273438,752.989990234375,670022 +2026-07-13 13:45:00+00:00,753.010009765625,753.1300048828125,752.280029296875,752.8699951171875,459487 +2026-07-13 13:50:00+00:00,752.9000244140625,752.9600219726562,751.9199829101562,752.6099853515625,627458 +2026-07-13 13:55:00+00:00,752.5900268554688,753.739990234375,752.4199829101562,753.6199951171875,402162 +2026-07-13 14:00:00+00:00,753.6300048828125,753.9105224609375,752.6599731445312,752.7899780273438,610120 +2026-07-13 14:05:00+00:00,752.77001953125,752.969970703125,752.27001953125,752.8200073242188,377173 +2026-07-13 14:10:00+00:00,752.8099975585938,753.3300170898438,752.6699829101562,753.27001953125,302173 +2026-07-13 14:15:00+00:00,753.27001953125,753.3699951171875,750.2999877929688,751.9299926757812,1718968 +2026-07-13 14:20:00+00:00,751.9199829101562,752.9099731445312,751.4600219726562,752.780029296875,513811 +2026-07-13 14:25:00+00:00,752.7449951171875,753.1900024414062,752.530029296875,753.0900268554688,418865 +2026-07-13 14:30:00+00:00,753.0900268554688,753.2999877929688,752.5700073242188,752.6400146484375,371113 +2026-07-13 14:35:00+00:00,752.6500244140625,752.6849975585938,751.969970703125,752.1900024414062,298941 +2026-07-13 14:40:00+00:00,752.2000122070312,752.2100219726562,751.25,751.5,300779 +2026-07-13 14:45:00+00:00,751.510009765625,752.4550170898438,751.0,752.3800048828125,470823 +2026-07-13 14:50:00+00:00,752.380126953125,752.469970703125,751.530029296875,751.72998046875,560864 +2026-07-13 14:55:00+00:00,751.72998046875,752.7899780273438,751.56201171875,752.7401123046875,254720 +2026-07-13 15:00:00+00:00,752.739990234375,753.0549926757812,752.3078002929688,752.3319702148438,288482 +2026-07-13 15:05:00+00:00,752.3400268554688,752.5900268554688,752.1599731445312,752.25,140544 +2026-07-13 15:10:00+00:00,752.2550048828125,752.5549926757812,751.9199829101562,752.0850219726562,210377 +2026-07-13 15:15:00+00:00,752.0800170898438,752.3250122070312,751.8812255859375,752.25,129290 +2026-07-13 15:20:00+00:00,752.25,752.5679931640625,752.1099853515625,752.447509765625,152214 +2026-07-13 15:25:00+00:00,752.4400024414062,752.489990234375,751.9650268554688,752.3800048828125,185614 +2026-07-13 15:30:00+00:00,752.3900146484375,752.5250244140625,752.0,752.1500244140625,183639 +2026-07-13 15:35:00+00:00,752.1599731445312,752.2899780273438,751.8499755859375,752.1300048828125,194743 +2026-07-13 15:40:00+00:00,752.1099853515625,752.1699829101562,751.6900024414062,751.72998046875,183891 +2026-07-13 15:45:00+00:00,751.719970703125,751.7880249023438,751.489990234375,751.7150268554688,332289 +2026-07-13 15:50:00+00:00,751.7150268554688,751.760009765625,751.155029296875,751.5499877929688,311812 +2026-07-13 15:55:00+00:00,751.5599975585938,751.5700073242188,751.094482421875,751.2349853515625,198778 +2026-07-13 16:00:00+00:00,751.22998046875,751.469970703125,750.9500122070312,751.169921875,218598 +2026-07-13 16:05:00+00:00,751.1300048828125,751.5499877929688,751.0599975585938,751.47998046875,217999 +2026-07-13 16:10:00+00:00,751.47998046875,751.8099975585938,751.2537231445312,751.4299926757812,241111 +2026-07-13 16:15:00+00:00,751.4199829101562,751.4400024414062,750.6699829101562,750.85498046875,406017 +2026-07-13 16:20:00+00:00,750.8599853515625,750.8800048828125,750.5900268554688,750.6400146484375,358544 +2026-07-13 16:25:00+00:00,750.6300048828125,750.6799926757812,749.9299926757812,750.2899780273438,419345 +2026-07-13 16:30:00+00:00,750.27001953125,750.280029296875,749.5900268554688,749.6199951171875,468099 +2026-07-13 16:35:00+00:00,749.6300048828125,750.260009765625,748.9299926757812,749.993408203125,728131 +2026-07-13 16:40:00+00:00,749.969970703125,750.52001953125,749.5750122070312,750.3599853515625,357078 +2026-07-13 16:45:00+00:00,750.3900146484375,750.6599731445312,749.9600219726562,749.97998046875,393010 +2026-07-13 16:50:00+00:00,749.9600219726562,750.0399780273438,749.1799926757812,749.4500122070312,379829 +2026-07-13 16:55:00+00:00,749.4400024414062,750.1199951171875,749.2838745117188,749.8699951171875,318317 +2026-07-13 17:00:00+00:00,749.9000244140625,750.2899780273438,749.75,749.8400268554688,236198 +2026-07-13 17:05:00+00:00,749.8400268554688,750.5,749.7849731445312,750.4199829101562,186998 +2026-07-13 17:10:00+00:00,750.4199829101562,750.6400146484375,749.9301147460938,750.0599975585938,379093 +2026-07-13 17:15:00+00:00,750.0499877929688,750.2899780273438,749.6400146484375,750.1599731445312,245888 +2026-07-13 17:20:00+00:00,750.1400146484375,750.3499755859375,749.7000122070312,749.7100219726562,297597 +2026-07-13 17:25:00+00:00,749.719970703125,749.969970703125,749.530029296875,749.8099975585938,305821 +2026-07-13 17:30:00+00:00,749.8099975585938,750.1199951171875,749.6599731445312,749.9500122070312,211126 +2026-07-13 17:35:00+00:00,749.9199829101562,749.9199829101562,749.4609985351562,749.7083740234375,184001 +2026-07-13 17:40:00+00:00,749.7000122070312,750.1300048828125,749.489990234375,749.9849853515625,268269 +2026-07-13 17:45:00+00:00,750.0,750.260009765625,749.5999755859375,749.6300048828125,223742 +2026-07-13 17:50:00+00:00,749.6400146484375,749.7100219726562,749.219970703125,749.4600219726562,287485 +2026-07-13 17:55:00+00:00,749.4650268554688,749.5499877929688,749.2100219726562,749.2349853515625,229884 +2026-07-13 18:00:00+00:00,749.260009765625,749.8699951171875,749.1900024414062,749.6699829101562,296300 +2026-07-13 18:05:00+00:00,749.6599731445312,750.2100219726562,749.5919799804688,749.6400146484375,317834 +2026-07-13 18:10:00+00:00,749.6500244140625,749.8099975585938,749.1300048828125,749.760009765625,318911 +2026-07-13 18:15:00+00:00,749.75,749.8200073242188,749.0399780273438,749.2100219726562,523341 +2026-07-13 18:20:00+00:00,749.219970703125,749.5399780273438,749.0499877929688,749.5,299846 +2026-07-13 18:25:00+00:00,749.5,749.5599975585938,749.1599731445312,749.239990234375,441428 +2026-07-13 18:30:00+00:00,749.239990234375,749.530029296875,748.97021484375,749.219970703125,427713 +2026-07-13 18:35:00+00:00,749.219970703125,749.75,749.1900024414062,749.6799926757812,433754 +2026-07-13 18:40:00+00:00,749.6699829101562,750.0399780273438,749.5599975585938,749.8499755859375,1249524 +2026-07-13 18:45:00+00:00,749.8499755859375,749.9199829101562,749.510009765625,749.760009765625,716289 +2026-07-13 18:50:00+00:00,749.75,750.0700073242188,749.5250244140625,749.7899780273438,277476 +2026-07-13 18:55:00+00:00,749.780029296875,749.9099731445312,749.4600219726562,749.5599975585938,362792 +2026-07-13 19:00:00+00:00,749.5800170898438,749.9000244140625,749.1799926757812,749.8499755859375,325046 +2026-07-13 19:05:00+00:00,749.8599853515625,749.969970703125,749.5,749.510009765625,269781 +2026-07-13 19:10:00+00:00,749.5,749.530029296875,749.0999755859375,749.2899780273438,431612 +2026-07-13 19:15:00+00:00,749.2899780273438,749.4400024414062,749.1300048828125,749.2550048828125,857684 +2026-07-13 19:20:00+00:00,749.260009765625,749.2999877929688,748.7000122070312,748.9149780273438,590732 +2026-07-13 19:25:00+00:00,748.9099731445312,748.9600219726562,748.1699829101562,748.3800048828125,772061 +2026-07-13 19:30:00+00:00,748.3900146484375,748.9000244140625,748.3099975585938,748.655029296875,809967 +2026-07-13 19:35:00+00:00,748.6500244140625,748.6500244140625,748.0,748.260009765625,643633 +2026-07-13 19:40:00+00:00,748.27001953125,749.0,748.1749877929688,748.9400024414062,799858 +2026-07-13 19:45:00+00:00,748.9400024414062,749.0499877929688,748.5700073242188,748.8800048828125,1496325 +2026-07-13 19:50:00+00:00,748.8900146484375,749.4500122070312,748.8699951171875,749.030029296875,2128159 +2026-07-13 19:55:00+00:00,749.0599975585938,749.6099853515625,748.9299926757812,749.0999755859375,3520350 +2026-07-14 13:30:00+00:00,750.9099731445312,751.0399780273438,749.5443115234375,749.6400146484375,3082389 +2026-07-14 13:35:00+00:00,749.6799926757812,751.3599853515625,749.4400024414062,751.1699829101562,746974 +2026-07-14 13:40:00+00:00,751.1799926757812,751.52001953125,750.5700073242188,751.3099975585938,446418 +2026-07-14 13:45:00+00:00,751.3049926757812,751.7899780273438,750.5800170898438,750.989990234375,519379 +2026-07-14 13:50:00+00:00,750.969970703125,751.5999755859375,750.6300048828125,751.0900268554688,506535 +2026-07-14 13:55:00+00:00,751.1099853515625,751.5700073242188,750.719970703125,751.3099975585938,382569 +2026-07-14 14:00:00+00:00,751.3200073242188,751.47998046875,750.2100219726562,750.4400024414062,444625 +2026-07-14 14:05:00+00:00,750.4400024414062,750.6900024414062,749.8800048828125,750.239501953125,382671 +2026-07-14 14:10:00+00:00,750.219970703125,750.489990234375,749.7799072265625,750.4299926757812,400013 +2026-07-14 14:15:00+00:00,750.4199829101562,750.4199829101562,748.6599731445312,749.85498046875,554982 +2026-07-14 14:20:00+00:00,749.8483276367188,750.8800048828125,749.780029296875,750.1300048828125,391420 +2026-07-14 14:25:00+00:00,750.1099853515625,751.2999877929688,749.9600219726562,750.7100219726562,376221 +2026-07-14 14:30:00+00:00,750.7100219726562,753.3099975585938,750.47998046875,752.02001953125,1053181 +2026-07-14 14:35:00+00:00,752.0399780273438,752.1500244140625,751.5399780273438,751.9299926757812,503256 +2026-07-14 14:40:00+00:00,751.9099731445312,752.2849731445312,750.9600219726562,751.094970703125,301720 +2026-07-14 14:45:00+00:00,751.1099243164062,751.4600219726562,750.77001953125,750.8900146484375,285252 +2026-07-14 14:50:00+00:00,750.8599853515625,751.594970703125,750.469970703125,751.5900268554688,231046 +2026-07-14 14:55:00+00:00,751.6099853515625,751.9600219726562,751.510009765625,751.7100219726562,272376 +2026-07-14 15:00:00+00:00,751.7100219726562,753.0700073242188,751.280029296875,752.3200073242188,656361 +2026-07-14 15:05:00+00:00,752.3300170898438,753.0499877929688,752.1400146484375,752.77001953125,573488 +2026-07-14 15:10:00+00:00,752.7999877929688,753.0,752.3599853515625,752.5499877929688,263606 +2026-07-14 15:15:00+00:00,752.5900268554688,752.64501953125,751.72998046875,751.9500122070312,289094 +2026-07-14 15:20:00+00:00,751.9400024414062,752.530029296875,751.6500244140625,752.52001953125,206966 +2026-07-14 15:25:00+00:00,752.52001953125,752.7100219726562,752.2999877929688,752.6599731445312,219382 +2026-07-14 15:30:00+00:00,752.6400146484375,752.9000244140625,751.8499755859375,751.97998046875,427144 +2026-07-14 15:35:00+00:00,751.969970703125,752.0449829101562,751.530029296875,751.8599853515625,213412 +2026-07-14 15:40:00+00:00,751.8499755859375,751.8499755859375,750.760009765625,751.5599975585938,839263 +2026-07-14 15:45:00+00:00,751.5599975585938,751.9500122070312,751.530029296875,751.6300048828125,195864 +2026-07-14 15:50:00+00:00,751.5900268554688,751.6699829101562,750.9099731445312,751.0,227158 +2026-07-14 15:55:00+00:00,751.010009765625,751.1699829101562,750.6199951171875,750.97998046875,201199 +2026-07-14 16:00:00+00:00,750.989990234375,751.0499877929688,750.0,750.3200073242188,324296 +2026-07-14 16:05:00+00:00,750.3400268554688,750.7000122070312,750.02001953125,750.4500122070312,271227 +2026-07-14 16:10:00+00:00,750.4600219726562,750.72998046875,750.02001953125,750.5399780273438,363862 +2026-07-14 16:15:00+00:00,750.530029296875,750.7100219726562,750.02001953125,750.4299926757812,187051 +2026-07-14 16:20:00+00:00,750.4299926757812,750.5612182617188,750.0,750.3300170898438,248993 +2026-07-14 16:25:00+00:00,750.3499755859375,750.9099731445312,750.239990234375,750.780029296875,327748 +2026-07-14 16:30:00+00:00,750.780029296875,751.1099853515625,750.6199951171875,751.0599975585938,215746 +2026-07-14 16:35:00+00:00,751.0499877929688,751.3300170898438,750.9506225585938,751.2349853515625,246418 +2026-07-14 16:40:00+00:00,751.2138061523438,751.739990234375,751.0700073242188,751.4650268554688,273026 +2026-07-14 16:45:00+00:00,751.4600219726562,751.739990234375,750.9600219726562,751.4000244140625,192444 +2026-07-14 16:50:00+00:00,751.3900146484375,751.6599731445312,751.280029296875,751.4758911132812,123836 +2026-07-14 16:55:00+00:00,751.47998046875,751.8499755859375,751.4400024414062,751.8499755859375,136622 +2026-07-14 17:00:00+00:00,751.8699951171875,752.0499877929688,751.6500244140625,751.7150268554688,241857 +2026-07-14 17:05:00+00:00,751.719970703125,752.2000122070312,751.5599975585938,752.119873046875,141361 +2026-07-14 17:10:00+00:00,752.0999755859375,752.2100219726562,751.8099975585938,751.8099975585938,260806 +2026-07-14 17:15:00+00:00,751.8099975585938,752.1300048828125,751.5,752.0700073242188,223187 +2026-07-14 17:20:00+00:00,752.0850219726562,752.6099853515625,752.0850219726562,752.4299926757812,205631 +2026-07-14 17:25:00+00:00,752.4400024414062,752.5599975585938,752.239990234375,752.2999877929688,143521 +2026-07-14 17:30:00+00:00,752.3200073242188,752.489990234375,752.0,752.010009765625,137820 +2026-07-14 17:35:00+00:00,752.0050048828125,752.1300048828125,751.7999877929688,752.1201171875,164530 +2026-07-14 17:40:00+00:00,752.135009765625,752.1900024414062,751.9000244140625,752.0399780273438,137379 +2026-07-14 17:45:00+00:00,752.0599975585938,752.25,751.760009765625,752.0800170898438,138101 +2026-07-14 17:50:00+00:00,752.0800170898438,752.3099975585938,752.0700073242188,752.2260131835938,123216 +2026-07-14 17:55:00+00:00,752.219970703125,752.3099975585938,752.1300048828125,752.2750244140625,143473 +2026-07-14 18:00:00+00:00,752.280029296875,752.47998046875,751.9299926757812,752.4400024414062,229483 +2026-07-14 18:05:00+00:00,752.4500122070312,752.5,752.260009765625,752.4000244140625,143498 +2026-07-14 18:10:00+00:00,752.4000244140625,752.6300048828125,752.3400268554688,752.5999755859375,149750 +2026-07-14 18:15:00+00:00,752.5994873046875,752.77001953125,752.4500122070312,752.6199951171875,197275 +2026-07-14 18:20:00+00:00,752.60498046875,752.760009765625,752.4099731445312,752.4400024414062,174450 +2026-07-14 18:25:00+00:00,752.4598999023438,752.6099853515625,752.2999877929688,752.5,261376 +2026-07-14 18:30:00+00:00,752.4849853515625,752.5595092773438,752.3300170898438,752.4600219726562,196639 +2026-07-14 18:35:00+00:00,752.469970703125,752.5999755859375,752.0,752.3499755859375,311116 +2026-07-14 18:40:00+00:00,752.3400268554688,752.3400268554688,751.6599731445312,752.010009765625,409466 +2026-07-14 18:45:00+00:00,752.010009765625,752.239990234375,751.9000244140625,751.9500122070312,236819 +2026-07-14 18:50:00+00:00,751.969970703125,752.3200073242188,751.8599853515625,752.239990234375,1189488 +2026-07-14 18:55:00+00:00,752.2100219726562,752.27001953125,752.0800170898438,752.1704711914062,211229 +2026-07-14 19:00:00+00:00,752.1900024414062,752.27001953125,751.8699951171875,751.969970703125,388032 +2026-07-14 19:05:00+00:00,751.9500122070312,752.1099853515625,751.8400268554688,751.9025268554688,342304 +2026-07-14 19:10:00+00:00,751.8900146484375,752.1400146484375,751.77001953125,752.0599975585938,312246 +2026-07-14 19:15:00+00:00,752.0800170898438,752.25,751.7999877929688,752.0900268554688,802910 +2026-07-14 19:20:00+00:00,752.1099853515625,752.4400024414062,752.0588989257812,752.4149780273438,245238 +2026-07-14 19:25:00+00:00,752.4000244140625,752.4500122070312,752.1199951171875,752.1500244140625,263064 +2026-07-14 19:30:00+00:00,752.1599731445312,752.1699829101562,751.7100219726562,752.02001953125,538087 +2026-07-14 19:35:00+00:00,752.02001953125,752.3200073242188,751.8800048828125,751.9600219726562,423156 +2026-07-14 19:40:00+00:00,751.9600219726562,752.4000244140625,751.9099731445312,752.2899780273438,365949 +2026-07-14 19:45:00+00:00,752.280029296875,752.52001953125,752.25,752.4749755859375,576226 +2026-07-14 19:50:00+00:00,752.47998046875,752.52001953125,752.0900268554688,752.094970703125,1178683 +2026-07-14 19:55:00+00:00,752.0999755859375,752.489990234375,751.7899780273438,751.8699951171875,2436651 +2026-07-15 13:30:00+00:00,754.239990234375,755.260009765625,754.2000122070312,755.1900024414062,1860971 +2026-07-15 13:35:00+00:00,755.2000122070312,755.5800170898438,754.510009765625,754.8400268554688,635841 +2026-07-15 13:40:00+00:00,754.8599853515625,754.8599853515625,754.280029296875,754.3599853515625,488224 +2026-07-15 13:45:00+00:00,754.3599853515625,754.47998046875,753.3499755859375,753.5599975585938,605047 +2026-07-15 13:50:00+00:00,753.5800170898438,754.0800170898438,753.1799926757812,754.0800170898438,833149 +2026-07-15 13:55:00+00:00,754.0599975585938,754.6099853515625,753.9199829101562,754.4500122070312,462875 +2026-07-15 14:00:00+00:00,754.52001953125,755.1799926757812,754.5,754.77001953125,660710 +2026-07-15 14:05:00+00:00,754.8099975585938,755.3200073242188,754.6400146484375,755.0499877929688,516448 +2026-07-15 14:10:00+00:00,755.0599975585938,755.2150268554688,754.6400146484375,754.739990234375,345983 +2026-07-15 14:15:00+00:00,754.760009765625,755.5599975585938,754.7100219726562,755.3200073242188,351336 +2026-07-15 14:20:00+00:00,755.3300170898438,755.3699951171875,753.3499755859375,753.8049926757812,925807 +2026-07-15 14:25:00+00:00,753.7999877929688,754.7225952148438,753.3800048828125,754.6199951171875,714426 +2026-07-15 14:30:00+00:00,754.6400146484375,754.8699951171875,753.9500122070312,754.5999755859375,490534 +2026-07-15 14:35:00+00:00,754.6300048828125,754.7899780273438,753.5150146484375,753.669921875,420871 +2026-07-15 14:40:00+00:00,753.6699829101562,753.97998046875,752.8200073242188,753.5299072265625,471107 +2026-07-15 14:45:00+00:00,753.5050048828125,753.8300170898438,752.9099731445312,753.7899780273438,461978 +2026-07-15 14:50:00+00:00,753.7999877929688,753.8250122070312,752.7410278320312,753.0499877929688,412255 +2026-07-15 14:55:00+00:00,753.0800170898438,753.530029296875,752.8400268554688,753.460693359375,287590 +2026-07-15 15:00:00+00:00,753.47998046875,753.6799926757812,753.0599975585938,753.2100219726562,246355 +2026-07-15 15:05:00+00:00,753.2100219726562,754.1500244140625,752.989990234375,754.0349731445312,272481 +2026-07-15 15:10:00+00:00,754.030029296875,754.1599731445312,753.0800170898438,753.1400146484375,346951 +2026-07-15 15:15:00+00:00,753.135009765625,753.364990234375,752.2000122070312,753.280029296875,491451 +2026-07-15 15:20:00+00:00,753.27001953125,753.27001953125,752.469970703125,752.9199829101562,289074 +2026-07-15 15:25:00+00:00,752.9199829101562,753.6199951171875,752.780029296875,753.60498046875,389621 +2026-07-15 15:30:00+00:00,753.5999755859375,753.8400268554688,753.1500244140625,753.5700073242188,333737 +2026-07-15 15:35:00+00:00,753.530029296875,753.780029296875,753.030029296875,753.6799926757812,268186 +2026-07-15 15:40:00+00:00,753.6900024414062,753.760009765625,753.0399780273438,753.1500244140625,192917 +2026-07-15 15:45:00+00:00,753.1500244140625,753.239990234375,752.780029296875,752.8200073242188,296635 +2026-07-15 15:50:00+00:00,752.8099975585938,752.8300170898438,752.3300170898438,752.7100219726562,352785 +2026-07-15 15:55:00+00:00,752.6900024414062,752.780029296875,752.280029296875,752.6694946289062,188506 +2026-07-15 16:00:00+00:00,752.6400146484375,752.8280029296875,751.760009765625,752.0800170898438,442535 +2026-07-15 16:05:00+00:00,752.0900268554688,752.1099853515625,751.3900146484375,751.9500122070312,418461 +2026-07-15 16:10:00+00:00,751.9500122070312,752.0700073242188,751.1400146484375,751.219970703125,302078 +2026-07-15 16:15:00+00:00,751.2000122070312,751.3800048828125,750.9099731445312,751.0399780273438,408972 +2026-07-15 16:20:00+00:00,751.030029296875,751.1699829101562,750.4400024414062,750.5399780273438,474285 +2026-07-15 16:25:00+00:00,750.530029296875,750.8997192382812,750.4400024414062,750.8300170898438,351428 +2026-07-15 16:30:00+00:00,750.8099975585938,751.1900024414062,750.4500122070312,750.5499877929688,330946 +2026-07-15 16:35:00+00:00,750.5700073242188,750.6199951171875,750.219970703125,750.4400024414062,312851 +2026-07-15 16:40:00+00:00,750.4400024414062,750.9400024414062,750.2000122070312,750.9099731445312,329120 +2026-07-15 16:45:00+00:00,750.9199829101562,752.3200073242188,750.72998046875,751.3300170898438,769995 +2026-07-15 16:50:00+00:00,751.3300170898438,751.8400268554688,751.2899780273438,751.4299926757812,325864 +2026-07-15 16:55:00+00:00,751.4199829101562,751.6799926757812,750.9603271484375,751.6699829101562,310052 +2026-07-15 17:00:00+00:00,751.6799926757812,752.0700073242188,751.5800170898438,751.9199829101562,331458 +2026-07-15 17:05:00+00:00,751.9249877929688,752.4025268554688,751.8400268554688,752.0999755859375,671669 +2026-07-15 17:10:00+00:00,752.10498046875,752.260009765625,751.780029296875,751.7999877929688,281877 +2026-07-15 17:15:00+00:00,751.8099975585938,752.530029296875,751.760009765625,752.4000244140625,301258 +2026-07-15 17:20:00+00:00,752.405029296875,752.5900268554688,752.22998046875,752.4500122070312,137027 +2026-07-15 17:25:00+00:00,752.4500122070312,752.8499755859375,752.3499755859375,752.8099975585938,291833 +2026-07-15 17:30:00+00:00,752.8099975585938,753.2100219726562,752.8099975585938,753.0900268554688,412691 +2026-07-15 17:35:00+00:00,753.1090087890625,753.4500122070312,753.010009765625,753.3900146484375,300636 +2026-07-15 17:40:00+00:00,753.4000244140625,753.4400024414062,753.2000122070312,753.3300170898438,222664 +2026-07-15 17:45:00+00:00,753.3300170898438,754.0750122070312,753.25,754.0399780273438,310038 +2026-07-15 17:50:00+00:00,754.0349731445312,754.5499877929688,753.8499755859375,754.469970703125,386878 +2026-07-15 17:55:00+00:00,754.4600219726562,754.4600219726562,754.010009765625,754.1901245117188,458575 +2026-07-15 18:00:00+00:00,754.2000122070312,754.5499877929688,754.1400146484375,754.3400268554688,285025 +2026-07-15 18:05:00+00:00,754.3400268554688,754.6500244140625,754.280029296875,754.5499877929688,288219 +2026-07-15 18:10:00+00:00,754.5650024414062,754.75,754.5349731445312,754.5499877929688,391860 +2026-07-15 18:15:00+00:00,754.5549926757812,754.5599975585938,754.219970703125,754.3250122070312,528603 +2026-07-15 18:20:00+00:00,754.3250122070312,754.8400268554688,754.3150024414062,754.7000122070312,315746 +2026-07-15 18:25:00+00:00,754.7000122070312,754.7999877929688,754.5800170898438,754.635009765625,460728 +2026-07-15 18:30:00+00:00,754.635009765625,754.9199829101562,754.530029296875,754.8200073242188,462961 +2026-07-15 18:35:00+00:00,754.8099975585938,754.8200073242188,754.4400024414062,754.489990234375,264606 +2026-07-15 18:40:00+00:00,754.489990234375,754.5800170898438,754.0,754.02001953125,284690 +2026-07-15 18:45:00+00:00,754.030029296875,754.0399780273438,753.3800048828125,753.6300048828125,461585 +2026-07-15 18:50:00+00:00,753.6500244140625,753.7349853515625,753.1599731445312,753.3699951171875,495806 +2026-07-15 18:55:00+00:00,753.3400268554688,753.530029296875,753.0999755859375,753.1900024414062,281419 +2026-07-15 19:00:00+00:00,753.1900024414062,753.72998046875,753.0499877929688,753.6599731445312,352061 +2026-07-15 19:05:00+00:00,753.6699829101562,753.8300170898438,753.489990234375,753.5700073242188,329593 +2026-07-15 19:10:00+00:00,753.5399780273438,753.9299926757812,753.469970703125,753.780029296875,371501 +2026-07-15 19:15:00+00:00,753.780029296875,753.8400268554688,753.52001953125,753.530029296875,250645 +2026-07-15 19:20:00+00:00,753.530029296875,753.5599975585938,753.1699829101562,753.3400268554688,395568 +2026-07-15 19:25:00+00:00,753.3300170898438,753.77001953125,753.1699829101562,753.6300048828125,383228 +2026-07-15 19:30:00+00:00,753.6300048828125,753.9299926757812,753.0900268554688,753.260009765625,924330 +2026-07-15 19:35:00+00:00,753.280029296875,753.9000244140625,753.1300048828125,753.8499755859375,598236 +2026-07-15 19:40:00+00:00,753.8400268554688,754.2100219726562,753.77001953125,754.094970703125,642535 +2026-07-15 19:45:00+00:00,754.0800170898438,754.1500244140625,753.5,753.6300048828125,779156 +2026-07-15 19:50:00+00:00,753.6300048828125,754.1799926757812,753.6300048828125,754.1599731445312,1454644 +2026-07-15 19:55:00+00:00,754.1599731445312,754.7999877929688,754.1599731445312,754.72998046875,2213854 +2026-07-16 13:30:00+00:00,752.760009765625,753.52001953125,752.0900268554688,752.2000122070312,2043117 +2026-07-16 13:35:00+00:00,752.2000122070312,752.52001953125,751.6400146484375,751.7100219726562,556064 +2026-07-16 13:40:00+00:00,751.719970703125,752.2899780273438,751.0900268554688,751.260009765625,660254 +2026-07-16 13:45:00+00:00,751.2999877929688,751.7000122070312,750.6699829101562,751.0499877929688,704345 +2026-07-16 13:50:00+00:00,751.0449829101562,752.260009765625,750.989990234375,751.47998046875,569436 +2026-07-16 13:55:00+00:00,751.47998046875,752.1199951171875,751.0,751.905029296875,356333 +2026-07-16 14:00:00+00:00,751.9000244140625,752.8201904296875,751.6400146484375,752.719970703125,660715 +2026-07-16 14:05:00+00:00,752.739990234375,753.5499877929688,752.5900268554688,753.3905029296875,524923 +2026-07-16 14:10:00+00:00,753.3900146484375,753.6099853515625,753.2000122070312,753.3599853515625,399437 +2026-07-16 14:15:00+00:00,753.3599853515625,753.9299926757812,753.2050170898438,753.8599853515625,316165 +2026-07-16 14:20:00+00:00,753.8599853515625,753.9299926757812,753.0700073242188,753.6699829101562,516302 +2026-07-16 14:25:00+00:00,753.6400146484375,754.3880004882812,753.2899780273438,754.3499755859375,507544 +2026-07-16 14:30:00+00:00,754.3400268554688,754.4400024414062,753.9849853515625,754.189208984375,373892 +2026-07-16 14:35:00+00:00,754.1699829101562,754.52001953125,753.8200073242188,753.9400024414062,294450 +2026-07-16 14:40:00+00:00,753.9299926757812,754.4298706054688,753.75,754.3699951171875,342619 +2026-07-16 14:45:00+00:00,754.3699951171875,754.5700073242188,754.1500244140625,754.1900024414062,368465 +2026-07-16 14:50:00+00:00,754.1699829101562,754.260009765625,753.530029296875,753.6790771484375,362500 +2026-07-16 14:55:00+00:00,753.6500244140625,754.2000122070312,753.3400268554688,754.1699829101562,452264 +2026-07-16 15:00:00+00:00,754.2000122070312,754.3800048828125,753.6099853515625,753.6599731445312,234055 +2026-07-16 15:05:00+00:00,753.6300048828125,753.7999877929688,753.0800170898438,753.530029296875,390780 +2026-07-16 15:10:00+00:00,753.52001953125,753.780029296875,753.0800170898438,753.3250122070312,224791 +2026-07-16 15:15:00+00:00,753.3300170898438,753.6397705078125,752.97998046875,753.6300048828125,336034 +2026-07-16 15:20:00+00:00,753.6199951171875,753.6500244140625,753.030029296875,753.6199951171875,309732 +2026-07-16 15:25:00+00:00,753.6199951171875,754.4400024414062,753.5599975585938,753.8001098632812,302836 +2026-07-16 15:30:00+00:00,753.8200073242188,754.22998046875,753.27001953125,754.2000122070312,294692 +2026-07-16 15:35:00+00:00,754.1900024414062,754.4000244140625,753.8300170898438,754.3200073242188,195474 +2026-07-16 15:40:00+00:00,754.3098754882812,754.405029296875,753.52001953125,753.6599731445312,225776 +2026-07-16 15:45:00+00:00,753.6599731445312,753.6599731445312,753.030029296875,753.5399780273438,240122 +2026-07-16 15:50:00+00:00,753.510009765625,754.0999755859375,753.510009765625,753.7899780273438,362195 +2026-07-16 15:55:00+00:00,753.780029296875,753.7899780273438,753.3099975585938,753.5700073242188,203375 +2026-07-16 16:00:00+00:00,753.5999755859375,753.5999755859375,752.72998046875,752.75,158344 +2026-07-16 16:05:00+00:00,752.7449951171875,753.0499877929688,752.3599853515625,752.8900146484375,643228 +2026-07-16 16:10:00+00:00,752.8900146484375,752.9000244140625,751.9600219726562,752.0399780273438,494795 +2026-07-16 16:15:00+00:00,752.030029296875,752.544921875,751.8900146484375,752.219970703125,319281 +2026-07-16 16:20:00+00:00,752.219970703125,752.219970703125,751.5399780273438,751.6599731445312,441782 +2026-07-16 16:25:00+00:00,751.6300048828125,752.1198120117188,751.4500122070312,751.9299926757812,199395 +2026-07-16 16:30:00+00:00,751.9400024414062,752.5399780273438,751.9099731445312,752.1900024414062,222424 +2026-07-16 16:35:00+00:00,752.1900024414062,752.3599853515625,751.8599853515625,751.9000244140625,171786 +2026-07-16 16:40:00+00:00,751.9000244140625,752.219970703125,751.780029296875,751.969970703125,251292 +2026-07-16 16:45:00+00:00,751.969970703125,752.2064819335938,751.5900268554688,752.010009765625,283777 +2026-07-16 16:50:00+00:00,752.010009765625,752.6699829101562,751.8699951171875,752.6099853515625,226146 +2026-07-16 16:55:00+00:00,752.5999755859375,752.969970703125,752.5999755859375,752.8599853515625,513213 +2026-07-16 17:00:00+00:00,752.8800048828125,752.9099731445312,752.2000122070312,752.5999755859375,260222 +2026-07-16 17:05:00+00:00,752.5800170898438,752.8200073242188,752.2000122070312,752.7000122070312,198029 +2026-07-16 17:10:00+00:00,752.6699829101562,752.780029296875,752.1300048828125,752.1900024414062,197377 +2026-07-16 17:15:00+00:00,752.1900024414062,752.530029296875,752.1099853515625,752.4199829101562,146370 +2026-07-16 17:20:00+00:00,752.4000244140625,752.52001953125,752.0399780273438,752.0399780273438,903887 +2026-07-16 17:25:00+00:00,752.0499877929688,752.8499755859375,752.030029296875,752.7050170898438,179454 +2026-07-16 17:30:00+00:00,752.7100219726562,752.8099975585938,752.0399169921875,752.1099853515625,147944 +2026-07-16 17:35:00+00:00,752.1199951171875,752.2001953125,751.5399780273438,751.6500244140625,377853 +2026-07-16 17:40:00+00:00,751.6400146484375,751.6400146484375,751.0999755859375,751.4199829101562,664324 +2026-07-16 17:45:00+00:00,751.4299926757812,751.8900146484375,751.0800170898438,751.6799926757812,345693 +2026-07-16 17:50:00+00:00,751.6950073242188,751.8900146484375,751.3699951171875,751.5800170898438,154170 +2026-07-16 17:55:00+00:00,751.5700073242188,751.5800170898438,751.0850219726562,751.3099975585938,197753 +2026-07-16 18:00:00+00:00,751.3300170898438,751.47998046875,750.8900146484375,750.8900146484375,298249 +2026-07-16 18:05:00+00:00,750.9000244140625,750.9450073242188,750.4600219726562,750.739990234375,549605 +2026-07-16 18:10:00+00:00,750.739990234375,751.4500122070312,750.7100219726562,750.72998046875,426432 +2026-07-16 18:15:00+00:00,750.7000122070312,751.3400268554688,750.4600219726562,751.2000122070312,427658 +2026-07-16 18:20:00+00:00,751.1900024414062,751.7100219726562,751.1400146484375,751.3400268554688,337512 +2026-07-16 18:25:00+00:00,751.3599853515625,751.5,750.8699951171875,750.9099731445312,389898 +2026-07-16 18:30:00+00:00,750.9199829101562,750.9299926757812,750.5499877929688,750.719970703125,208525 +2026-07-16 18:35:00+00:00,750.6799926757812,750.6799926757812,750.3499755859375,750.3599853515625,262718 +2026-07-16 18:40:00+00:00,750.3599853515625,750.7000122070312,749.9199829101562,750.52001953125,515040 +2026-07-16 18:45:00+00:00,750.5,750.9000244140625,750.2999877929688,750.77001953125,286190 +2026-07-16 18:50:00+00:00,750.760009765625,750.9299926757812,750.219970703125,750.219970703125,264072 +2026-07-16 18:55:00+00:00,750.219970703125,750.47998046875,750.1099853515625,750.22998046875,597119 +2026-07-16 19:00:00+00:00,750.219970703125,750.7000122070312,750.0900268554688,750.530029296875,297832 +2026-07-16 19:05:00+00:00,750.510009765625,750.6799926757812,749.760009765625,749.77001953125,393706 +2026-07-16 19:10:00+00:00,749.75,749.8499755859375,749.5800170898438,749.760009765625,355767 +2026-07-16 19:15:00+00:00,749.739990234375,749.8800048828125,749.4000854492188,749.760009765625,701998 +2026-07-16 19:20:00+00:00,749.760009765625,750.010009765625,749.5,749.510009765625,913161 +2026-07-16 19:25:00+00:00,749.5150146484375,749.6300048828125,748.8599853515625,749.0999755859375,632627 +2026-07-16 19:30:00+00:00,749.0800170898438,749.1599731445312,748.4299926757812,748.6900024414062,751215 +2026-07-16 19:35:00+00:00,748.6799926757812,749.1500244140625,748.4000244140625,749.030029296875,626528 +2026-07-16 19:40:00+00:00,749.02001953125,749.1599731445312,748.47998046875,748.52001953125,1807922 +2026-07-16 19:45:00+00:00,748.510009765625,748.6300048828125,747.8800048828125,748.2100219726562,1519249 +2026-07-16 19:50:00+00:00,748.2100219726562,750.0499877929688,748.1900024414062,749.97998046875,2764428 +2026-07-16 19:55:00+00:00,749.989990234375,751.0399780273438,749.989990234375,750.760009765625,3634040 +2026-07-17 13:30:00+00:00,742.0800170898438,742.6199951171875,741.010009765625,741.032470703125,3646013 +2026-07-17 13:35:00+00:00,741.0399780273438,741.6599731445312,740.7999877929688,741.52001953125,2254283 +2026-07-17 13:40:00+00:00,741.5,742.6699829101562,740.840087890625,741.0349731445312,1285131 +2026-07-17 13:45:00+00:00,741.0499877929688,743.1400146484375,740.9500122070312,743.030029296875,1050322 +2026-07-17 13:50:00+00:00,743.010009765625,744.2000122070312,743.0,743.88671875,640475 +2026-07-17 13:55:00+00:00,743.8800048828125,744.8300170898438,743.5999755859375,744.8101196289062,707927 +2026-07-17 14:00:00+00:00,744.8099975585938,745.7725219726562,744.6701049804688,745.3400268554688,799754 +2026-07-17 14:05:00+00:00,745.3200073242188,746.4600219726562,745.2999877929688,746.3200073242188,712291 +2026-07-17 14:10:00+00:00,746.3200073242188,746.7999877929688,745.9099731445312,746.280029296875,788566 +2026-07-17 14:15:00+00:00,746.2661743164062,747.2899780273438,746.1699829101562,746.5700073242188,721960 +2026-07-17 14:20:00+00:00,746.564208984375,747.0599975585938,746.2100219726562,746.8699951171875,564846 +2026-07-17 14:25:00+00:00,746.8699951171875,747.2100219726562,746.1699829101562,746.3350219726562,2399160 +2026-07-17 14:30:00+00:00,746.3400268554688,746.5999755859375,745.5999755859375,745.989990234375,576136 +2026-07-17 14:35:00+00:00,745.9949951171875,746.7899780273438,745.7337036132812,746.72998046875,478420 +2026-07-17 14:40:00+00:00,746.719970703125,746.7750244140625,745.75,745.8800048828125,510674 +2026-07-17 14:45:00+00:00,745.8599853515625,746.5900268554688,745.260009765625,745.6849975585938,744414 +2026-07-17 14:50:00+00:00,745.6900024414062,745.8300170898438,745.2000122070312,745.4199829101562,314683 +2026-07-17 14:55:00+00:00,745.3900146484375,746.1900024414062,744.8499755859375,745.0499877929688,416999 +2026-07-17 15:00:00+00:00,745.0499877929688,745.2235107421875,744.1400146484375,744.22998046875,832834 +2026-07-17 15:05:00+00:00,744.22998046875,745.010009765625,744.1484985351562,744.8699951171875,393491 +2026-07-17 15:10:00+00:00,744.8800048828125,745.2100219726562,744.1099853515625,744.3200073242188,394536 +2026-07-17 15:15:00+00:00,744.3599853515625,744.8499755859375,743.97998046875,744.5399780273438,447458 +2026-07-17 15:20:00+00:00,744.5499877929688,744.9000244140625,743.9600219726562,744.2908935546875,496269 +2026-07-17 15:25:00+00:00,744.3099975585938,745.5700073242188,744.280029296875,745.4450073242188,332841 +2026-07-17 15:30:00+00:00,745.4400024414062,745.9000244140625,744.8599853515625,745.0399780273438,811194 +2026-07-17 15:35:00+00:00,745.010009765625,745.77001953125,744.4401245117188,745.6599731445312,345546 +2026-07-17 15:40:00+00:00,745.6400146484375,745.9000244140625,744.97998046875,745.5,314654 +2026-07-17 15:45:00+00:00,745.489990234375,745.6099853515625,744.8099975585938,745.5709838867188,505214 +2026-07-17 15:50:00+00:00,745.5800170898438,746.0908813476562,745.1699829101562,746.0908813476562,245141 +2026-07-17 15:55:00+00:00,746.0900268554688,747.0599975585938,746.0018920898438,746.8699951171875,436523 +2026-07-17 16:00:00+00:00,746.8800048828125,747.0999755859375,745.1799926757812,745.5499877929688,845719 +2026-07-17 16:05:00+00:00,745.5499877929688,745.9600219726562,744.8300170898438,745.9500122070312,2514622 +2026-07-17 16:10:00+00:00,745.9450073242188,746.3699951171875,745.7000122070312,746.27001953125,308586 +2026-07-17 16:15:00+00:00,746.2899780273438,746.5700073242188,746.010009765625,746.364990234375,295906 +2026-07-17 16:20:00+00:00,746.3599853515625,746.52001953125,745.2100219726562,745.239990234375,405591 +2026-07-17 16:25:00+00:00,745.27001953125,746.5,745.1420288085938,745.9400024414062,333302 +2026-07-17 16:30:00+00:00,745.9500122070312,746.1760864257812,745.5399780273438,745.5599975585938,328325 +2026-07-17 16:35:00+00:00,745.60498046875,746.0499877929688,745.5599975585938,745.9099731445312,197300 +2026-07-17 16:40:00+00:00,745.9000244140625,746.4500122070312,745.5999755859375,746.4099731445312,227125 +2026-07-17 16:45:00+00:00,746.4299926757812,747.010009765625,746.22998046875,746.8685302734375,299535 +2026-07-17 16:50:00+00:00,746.8599853515625,747.27001953125,746.5800170898438,746.8510131835938,445804 +2026-07-17 16:55:00+00:00,746.8599853515625,746.9500122070312,746.1300048828125,746.3200073242188,259543 +2026-07-17 17:00:00+00:00,746.3699951171875,747.1699829101562,746.219970703125,746.6900024414062,346995 +2026-07-17 17:05:00+00:00,746.6599731445312,747.0,746.4500122070312,746.9600219726562,228704 +2026-07-17 17:10:00+00:00,746.969970703125,747.1199951171875,746.3900146484375,746.4199829101562,265228 +2026-07-17 17:15:00+00:00,746.4000244140625,746.97998046875,746.2338256835938,746.280029296875,297175 +2026-07-17 17:20:00+00:00,746.27001953125,746.4400024414062,745.969970703125,746.2899780273438,434477 +2026-07-17 17:25:00+00:00,746.2999877929688,747.02001953125,746.27001953125,746.8699951171875,1326653 +2026-07-17 17:30:00+00:00,746.8800048828125,746.989990234375,746.5399780273438,746.6099853515625,259241 +2026-07-17 17:35:00+00:00,746.6199951171875,746.6799926757812,745.9099731445312,746.02001953125,578118 +2026-07-17 17:40:00+00:00,746.010009765625,746.0599975585938,745.510009765625,745.5999755859375,307718 +2026-07-17 17:45:00+00:00,745.5999755859375,745.8909301757812,745.4000244140625,745.5700073242188,285280 +2026-07-17 17:50:00+00:00,745.5700073242188,745.6400146484375,744.760009765625,744.9000244140625,294086 +2026-07-17 17:55:00+00:00,744.8905029296875,744.9995727539062,744.3800048828125,744.5800170898438,353606 +2026-07-17 18:00:00+00:00,744.5800170898438,745.1400146484375,744.3800048828125,744.6475219726562,516377 +2026-07-17 18:05:00+00:00,744.6400146484375,744.6400146484375,744.1599731445312,744.3300170898438,416314 +2026-07-17 18:10:00+00:00,744.3099975585938,744.489990234375,744.0900268554688,744.1099853515625,301115 +2026-07-17 18:15:00+00:00,744.1199951171875,744.2030029296875,743.5859985351562,743.8300170898438,355599 +2026-07-17 18:20:00+00:00,743.8499755859375,744.1699829101562,743.5499877929688,743.739990234375,954726 +2026-07-17 18:25:00+00:00,743.72998046875,743.75,743.239990234375,743.7100219726562,469769 +2026-07-17 18:30:00+00:00,743.6900024414062,744.3400268554688,743.4199829101562,743.6611938476562,395985 +2026-07-17 18:35:00+00:00,743.6699829101562,743.9500122070312,743.510009765625,743.72998046875,199582 +2026-07-17 18:40:00+00:00,743.75,743.7999877929688,743.0999755859375,743.260009765625,316384 +2026-07-17 18:45:00+00:00,743.239990234375,744.25,743.094970703125,743.8905029296875,795556 +2026-07-17 18:50:00+00:00,743.8995971679688,744.5798950195312,743.6799926757812,744.5599975585938,397373 +2026-07-17 18:55:00+00:00,744.5650024414062,744.6599731445312,744.1599731445312,744.3699951171875,336557 +2026-07-17 19:00:00+00:00,744.3900146484375,744.469970703125,743.739990234375,743.8599853515625,408602 +2026-07-17 19:05:00+00:00,743.8699951171875,743.989990234375,743.3800048828125,743.4099731445312,238804 +2026-07-17 19:10:00+00:00,743.4099731445312,743.47998046875,742.719970703125,742.760009765625,768193 +2026-07-17 19:15:00+00:00,742.739990234375,742.97998046875,742.5700073242188,742.9199829101562,477727 +2026-07-17 19:20:00+00:00,742.9000244140625,742.9000244140625,742.3400268554688,742.3599853515625,447454 +2026-07-17 19:25:00+00:00,742.330078125,743.280029296875,742.1300048828125,743.1599731445312,746844 +2026-07-17 19:30:00+00:00,743.1699829101562,743.6199951171875,742.77001953125,743.030029296875,1127405 +2026-07-17 19:35:00+00:00,743.030029296875,743.530029296875,742.72998046875,742.8300170898438,844183 +2026-07-17 19:40:00+00:00,742.8300170898438,743.6199951171875,742.5999755859375,743.47998046875,736663 +2026-07-17 19:45:00+00:00,743.47998046875,744.0399780273438,743.3699951171875,744.0399780273438,1120911 +2026-07-17 19:50:00+00:00,744.030029296875,744.2899780273438,743.47998046875,743.969970703125,1759257 +2026-07-17 19:55:00+00:00,744.0,744.4000244140625,742.9199829101562,743.155029296875,3182293 +2026-07-20 13:30:00+00:00,747.0599975585938,748.0499877929688,746.7999877929688,748.0499877929688,1851776 +2026-07-20 13:35:00+00:00,748.030029296875,748.7100219726562,747.72998046875,748.1699829101562,833394 +2026-07-20 13:40:00+00:00,748.1699829101562,748.5900268554688,748.0599975585938,748.5599975585938,511709 +2026-07-20 13:45:00+00:00,748.5700073242188,748.72998046875,747.530029296875,747.5800170898438,805592 +2026-07-20 13:50:00+00:00,747.5800170898438,747.8400268554688,746.25,746.4550170898438,874876 +2026-07-20 13:55:00+00:00,746.4500122070312,746.489990234375,745.52001953125,745.6900024414062,671795 +2026-07-20 14:00:00+00:00,745.6799926757812,746.3599853515625,745.3900146484375,745.885009765625,524174 +2026-07-20 14:05:00+00:00,745.9000244140625,746.1199951171875,745.27001953125,745.4000244140625,475704 +2026-07-20 14:10:00+00:00,745.3400268554688,745.3800048828125,744.7650146484375,744.989990234375,414066 +2026-07-20 14:15:00+00:00,745.02001953125,745.47998046875,744.6300048828125,744.9000244140625,420432 +2026-07-20 14:20:00+00:00,744.8499755859375,745.2100219726562,744.260009765625,744.969970703125,561519 +2026-07-20 14:25:00+00:00,744.969970703125,745.739990234375,744.9099731445312,745.6799926757812,355120 +2026-07-20 14:30:00+00:00,745.6900024414062,745.9600219726562,745.0399780273438,745.260009765625,475390 +2026-07-20 14:35:00+00:00,745.260009765625,745.530029296875,744.9598999023438,745.3300170898438,453223 +2026-07-20 14:40:00+00:00,745.3499755859375,745.7899780273438,744.7520141601562,744.8900146484375,258874 +2026-07-20 14:45:00+00:00,744.8800048828125,745.739990234375,744.4901123046875,744.6400146484375,323848 +2026-07-20 14:50:00+00:00,744.6199951171875,744.9400024414062,744.1500244140625,744.3250122070312,539597 +2026-07-20 14:55:00+00:00,744.3200073242188,744.489990234375,743.6900024414062,744.1099853515625,429824 +2026-07-20 15:00:00+00:00,744.1400146484375,744.8800048828125,743.8049926757812,744.5800170898438,297794 +2026-07-20 15:05:00+00:00,744.5599975585938,745.4849853515625,743.8499755859375,745.4099731445312,502571 +2026-07-20 15:10:00+00:00,745.4000244140625,745.4600219726562,744.6699829101562,744.7999877929688,226403 +2026-07-20 15:15:00+00:00,744.7999877929688,745.530029296875,744.6099853515625,745.27001953125,295430 +2026-07-20 15:20:00+00:00,745.260009765625,745.969970703125,745.0700073242188,745.75,316075 +2026-07-20 15:25:00+00:00,745.719970703125,745.969970703125,745.219970703125,745.8699951171875,503848 +2026-07-20 15:30:00+00:00,745.8900146484375,746.02001953125,745.77001953125,745.8800048828125,192342 +2026-07-20 15:35:00+00:00,745.9000244140625,745.9299926757812,745.3900146484375,745.4600219726562,214063 +2026-07-20 15:40:00+00:00,745.469970703125,745.969970703125,745.280029296875,745.969970703125,214146 +2026-07-20 15:45:00+00:00,745.97998046875,745.989990234375,745.0999755859375,745.2999877929688,254897 +2026-07-20 15:50:00+00:00,745.2899780273438,746.3599853515625,745.1300048828125,746.219970703125,400298 +2026-07-20 15:55:00+00:00,746.22998046875,746.4400024414062,745.9400024414062,745.989990234375,310885 +2026-07-20 16:00:00+00:00,746.0,746.25,745.5800170898438,746.1599731445312,407969 +2026-07-20 16:05:00+00:00,746.1599731445312,746.8350219726562,746.1599731445312,746.7999877929688,588741 +2026-07-20 16:10:00+00:00,746.780029296875,747.0050048828125,746.6400146484375,746.7899780273438,297597 +2026-07-20 16:15:00+00:00,746.8300170898438,746.844970703125,746.3099975585938,746.6799926757812,314922 +2026-07-20 16:20:00+00:00,746.7000122070312,746.8800048828125,746.6199951171875,746.780029296875,227319 +2026-07-20 16:25:00+00:00,746.780029296875,746.8300170898438,746.1699829101562,746.5,323898 +2026-07-20 16:30:00+00:00,746.489990234375,746.780029296875,745.7999877929688,745.8300170898438,328389 +2026-07-20 16:35:00+00:00,745.8200073242188,746.3699951171875,745.8099975585938,746.3499755859375,240742 +2026-07-20 16:40:00+00:00,746.3300170898438,746.52001953125,744.5,745.4299926757812,1044388 +2026-07-20 16:45:00+00:00,745.4099731445312,746.1799926757812,745.2100219726562,746.1300048828125,420926 +2026-07-20 16:50:00+00:00,746.1199951171875,746.155029296875,744.9099731445312,744.969970703125,316124 +2026-07-20 16:55:00+00:00,744.969970703125,745.1900024414062,744.72998046875,745.0,481423 +2026-07-20 17:00:00+00:00,745.010009765625,745.2100219726562,744.5499877929688,744.552490234375,307945 +2026-07-20 17:05:00+00:00,744.5399780273438,744.6500244140625,744.1300048828125,744.5900268554688,288703 +2026-07-20 17:10:00+00:00,744.5900268554688,744.6400146484375,743.8400268554688,743.9000244140625,294244 +2026-07-20 17:15:00+00:00,743.8900146484375,744.260009765625,743.5599975585938,744.1199951171875,383022 +2026-07-20 17:20:00+00:00,744.114990234375,744.489990234375,743.969970703125,744.1099853515625,228512 +2026-07-20 17:25:00+00:00,744.0999755859375,744.3699951171875,743.8900146484375,744.1199951171875,258856 +2026-07-20 17:30:00+00:00,744.1300048828125,744.4201049804688,743.9500122070312,744.3250122070312,243517 +2026-07-20 17:35:00+00:00,744.2999877929688,744.5399780273438,743.989990234375,744.010009765625,267253 +2026-07-20 17:40:00+00:00,744.030029296875,744.0499877929688,743.5900268554688,743.760009765625,344669 +2026-07-20 17:45:00+00:00,743.77001953125,744.3499755859375,743.6300048828125,744.25,281957 +2026-07-20 17:50:00+00:00,744.219970703125,744.9199829101562,744.2100219726562,744.6500244140625,290349 +2026-07-20 17:55:00+00:00,744.6500244140625,744.6900024414062,744.2100830078125,744.5499877929688,261761 +2026-07-20 18:00:00+00:00,744.5499877929688,745.1699829101562,744.5499877929688,744.8499755859375,363635 +2026-07-20 18:05:00+00:00,744.8400268554688,744.9400024414062,744.530029296875,744.875,239896 +2026-07-20 18:10:00+00:00,744.9000244140625,745.219970703125,744.7100219726562,745.030029296875,219433 +2026-07-20 18:15:00+00:00,745.02001953125,745.3800048828125,744.8800048828125,745.239990234375,387343 +2026-07-20 18:20:00+00:00,745.219970703125,745.2899780273438,744.25,744.280029296875,618991 +2026-07-20 18:25:00+00:00,744.2899780273438,744.7999877929688,744.1300048828125,744.469970703125,343916 +2026-07-20 18:30:00+00:00,744.469970703125,744.489990234375,743.47998046875,743.6649780273438,473873 +2026-07-20 18:35:00+00:00,743.6599731445312,744.2949829101562,743.4400024414062,743.5750122070312,340647 +2026-07-20 18:40:00+00:00,743.5750122070312,743.6199951171875,742.530029296875,742.5449829101562,546380 +2026-07-20 18:45:00+00:00,742.5499877929688,743.0499877929688,742.4299926757812,742.7000122070312,685176 +2026-07-20 18:50:00+00:00,742.7100219726562,743.22998046875,742.5599975585938,743.0999755859375,302428 +2026-07-20 18:55:00+00:00,743.094970703125,743.1400146484375,742.47998046875,742.719970703125,308207 +2026-07-20 19:00:00+00:00,742.760009765625,743.1900024414062,742.4199829101562,742.5900268554688,616940 +2026-07-20 19:05:00+00:00,742.5900268554688,742.8209838867188,742.25,742.6950073242188,525097 +2026-07-20 19:10:00+00:00,742.6994018554688,743.0999755859375,741.7000122070312,741.7000122070312,591743 +2026-07-20 19:15:00+00:00,741.7100219726562,742.2100219726562,741.5103149414062,741.9199829101562,970049 +2026-07-20 19:20:00+00:00,741.9299926757812,742.4299926757812,741.7899780273438,742.2999877929688,614806 +2026-07-20 19:25:00+00:00,742.3200073242188,742.9199829101562,741.8599853515625,742.72998046875,683468 +2026-07-20 19:30:00+00:00,742.739990234375,743.2000122070312,742.3400268554688,742.97998046875,709918 +2026-07-20 19:35:00+00:00,742.9600219726562,743.1300048828125,742.510009765625,742.97998046875,647393 +2026-07-20 19:40:00+00:00,742.969970703125,743.3400268554688,742.7999877929688,742.989990234375,568417 +2026-07-20 19:45:00+00:00,743.0,743.25,742.7000122070312,743.0800170898438,993664 +2026-07-20 19:50:00+00:00,743.0700073242188,743.0700073242188,741.760009765625,742.2000122070312,1894670 +2026-07-20 19:55:00+00:00,742.1799926757812,742.239990234375,741.6099853515625,742.1400146484375,4361321 +2026-07-21 13:30:00+00:00,746.2899780273438,746.6799926757812,745.1199951171875,745.5999755859375,1901011 +2026-07-21 13:35:00+00:00,745.6099853515625,746.231689453125,745.27001953125,745.280029296875,824912 +2026-07-21 13:40:00+00:00,745.260009765625,745.3099975585938,744.2708740234375,744.510009765625,600352 +2026-07-21 13:45:00+00:00,744.52001953125,745.0,744.1799926757812,744.9500122070312,420126 +2026-07-21 13:50:00+00:00,744.969970703125,745.3499755859375,744.260009765625,745.0700073242188,386215 +2026-07-21 13:55:00+00:00,745.0499877929688,745.364990234375,744.6099853515625,745.3599853515625,344126 +2026-07-21 14:00:00+00:00,745.3699951171875,745.869873046875,744.9600219726562,745.4199829101562,348723 +2026-07-21 14:05:00+00:00,745.4199829101562,745.77001953125,745.02001953125,745.1950073242188,212358 +2026-07-21 14:10:00+00:00,745.1900024414062,745.8599853515625,744.9500122070312,745.7449951171875,284660 +2026-07-21 14:15:00+00:00,745.719970703125,746.1699829101562,744.7899780273438,746.02001953125,302137 +2026-07-21 14:20:00+00:00,746.0150146484375,746.1900024414062,745.4550170898438,745.97998046875,224452 +2026-07-21 14:25:00+00:00,745.9600219726562,746.989990234375,745.9299926757812,746.8699951171875,450689 +2026-07-21 14:30:00+00:00,746.8499755859375,747.25,746.5800170898438,746.7999877929688,340012 +2026-07-21 14:35:00+00:00,746.7949829101562,747.02001953125,746.0900268554688,746.2999877929688,301549 +2026-07-21 14:40:00+00:00,746.2999877929688,746.635009765625,745.77001953125,746.5999755859375,298164 +2026-07-21 14:45:00+00:00,746.6099853515625,747.260009765625,746.4500122070312,746.9099731445312,401228 +2026-07-21 14:50:00+00:00,746.9099731445312,746.9600219726562,746.5,746.6900024414062,166050 +2026-07-21 14:55:00+00:00,746.6799926757812,746.7899780273438,746.260009765625,746.739990234375,202701 +2026-07-21 15:00:00+00:00,746.77001953125,746.8900146484375,745.8300170898438,746.0009765625,310493 +2026-07-21 15:05:00+00:00,746.0,747.0700073242188,745.8499755859375,746.97998046875,292853 +2026-07-21 15:10:00+00:00,746.97998046875,747.52001953125,746.9400024414062,747.2097778320312,337144 +2026-07-21 15:15:00+00:00,747.2100219726562,747.5499877929688,747.1588134765625,747.4099731445312,202955 +2026-07-21 15:20:00+00:00,747.4099731445312,747.97998046875,747.3200073242188,747.656005859375,426494 +2026-07-21 15:25:00+00:00,747.6544189453125,748.010009765625,747.6099853515625,748.0,191435 +2026-07-21 15:30:00+00:00,747.97998046875,748.0,747.4099731445312,747.7750244140625,364371 +2026-07-21 15:35:00+00:00,747.7899780273438,747.9299926757812,747.4299926757812,747.5800170898438,267226 +2026-07-21 15:40:00+00:00,747.5599975585938,747.8588256835938,747.5198974609375,747.594970703125,235112 +2026-07-21 15:45:00+00:00,747.580322265625,747.9199829101562,747.530029296875,747.8115234375,165894 +2026-07-21 15:50:00+00:00,747.8200073242188,747.97998046875,747.7000122070312,747.719970703125,270841 +2026-07-21 15:55:00+00:00,747.77001953125,747.9000244140625,747.469970703125,747.52001953125,178981 +2026-07-21 16:00:00+00:00,747.52001953125,748.22998046875,747.489990234375,748.219970703125,235413 +2026-07-21 16:05:00+00:00,748.2255249023438,748.3099975585938,748.0700073242188,748.1500244140625,157808 +2026-07-21 16:10:00+00:00,748.1497802734375,748.27001953125,748.0399780273438,748.22998046875,163585 +2026-07-21 16:15:00+00:00,748.239990234375,748.530029296875,748.219970703125,748.469970703125,456214 +2026-07-21 16:20:00+00:00,748.47998046875,748.75,748.4099731445312,748.5800170898438,202970 +2026-07-21 16:25:00+00:00,748.5800170898438,748.7000122070312,748.4400024414062,748.6599731445312,119457 +2026-07-21 16:30:00+00:00,748.6400146484375,748.780029296875,748.4801025390625,748.6849975585938,186951 +2026-07-21 16:35:00+00:00,748.680908203125,748.719970703125,748.489990234375,748.6699829101562,101468 +2026-07-21 16:40:00+00:00,748.6699829101562,748.739990234375,748.5,748.6099853515625,120496 +2026-07-21 16:45:00+00:00,748.6300048828125,748.6500244140625,748.4000244140625,748.489990234375,125200 +2026-07-21 16:50:00+00:00,748.489990234375,748.9949951171875,748.4500122070312,748.9598999023438,215362 +2026-07-21 16:55:00+00:00,748.9600219726562,749.0399780273438,748.6799926757812,748.6900024414062,620830 +2026-07-21 17:00:00+00:00,748.6884155273438,748.8300170898438,748.5805053710938,748.6199951171875,170343 +2026-07-21 17:05:00+00:00,748.6199951171875,748.85498046875,748.5800170898438,748.7100219726562,356355 +2026-07-21 17:10:00+00:00,748.719970703125,748.739990234375,748.530029296875,748.5999755859375,478893 +2026-07-21 17:15:00+00:00,748.6099853515625,748.6599731445312,748.3300170898438,748.35498046875,335585 +2026-07-21 17:20:00+00:00,748.3499755859375,748.47998046875,748.25,748.4000244140625,192939 +2026-07-21 17:25:00+00:00,748.4199829101562,748.47998046875,748.239990234375,748.3599853515625,175614 +2026-07-21 17:30:00+00:00,748.3599853515625,748.5700073242188,748.2150268554688,748.3599853515625,225080 +2026-07-21 17:35:00+00:00,748.3499755859375,748.7999877929688,748.3400268554688,748.7000122070312,247679 +2026-07-21 17:40:00+00:00,748.7000122070312,748.72998046875,748.510009765625,748.669921875,142384 +2026-07-21 17:45:00+00:00,748.6599731445312,748.8599853515625,748.5499877929688,748.8200073242188,161776 +2026-07-21 17:50:00+00:00,748.8400268554688,748.9299926757812,748.6599731445312,748.6799926757812,306097 +2026-07-21 17:55:00+00:00,748.6749877929688,748.719970703125,748.4400024414062,748.5900268554688,232952 +2026-07-21 18:00:00+00:00,748.5900268554688,748.77001953125,748.260009765625,748.3200073242188,295577 +2026-07-21 18:05:00+00:00,748.2999877929688,748.5499877929688,748.27001953125,748.4550170898438,163057 +2026-07-21 18:10:00+00:00,748.4400024414062,748.5490112304688,748.1199951171875,748.1599731445312,245581 +2026-07-21 18:15:00+00:00,748.1699829101562,748.27001953125,748.0900268554688,748.2100219726562,219304 +2026-07-21 18:20:00+00:00,748.1900024414062,748.4000244140625,748.1099853515625,748.2999877929688,200541 +2026-07-21 18:25:00+00:00,748.2899780273438,748.2999877929688,748.0650024414062,748.2100219726562,316580 +2026-07-21 18:30:00+00:00,748.219970703125,748.260009765625,747.9400024414062,747.969970703125,218286 +2026-07-21 18:35:00+00:00,747.969970703125,748.27001953125,747.9600219726562,748.1500244140625,227217 +2026-07-21 18:40:00+00:00,748.1500244140625,748.6099853515625,748.02001953125,748.5399780273438,215354 +2026-07-21 18:45:00+00:00,748.530029296875,748.6400146484375,748.3800048828125,748.4500122070312,161869 +2026-07-21 18:50:00+00:00,748.469970703125,748.510009765625,748.25,748.25927734375,185937 +2026-07-21 18:55:00+00:00,748.25,748.5700073242188,748.22998046875,748.3699951171875,314496 +2026-07-21 19:00:00+00:00,748.3800048828125,748.469970703125,748.1500244140625,748.27001953125,225750 +2026-07-21 19:05:00+00:00,748.25,748.4199829101562,748.1199951171875,748.135009765625,277072 +2026-07-21 19:10:00+00:00,748.1400146484375,748.4299926757812,748.0900268554688,748.239990234375,308319 +2026-07-21 19:15:00+00:00,748.25,748.4600219726562,748.1900024414062,748.3099975585938,190314 +2026-07-21 19:20:00+00:00,748.3099975585938,748.3900146484375,748.1900024414062,748.3099975585938,183500 +2026-07-21 19:25:00+00:00,748.2899780273438,748.4600219726562,748.219970703125,748.260009765625,375104 +2026-07-21 19:30:00+00:00,748.25,748.3900146484375,748.1500244140625,748.1799926757812,361485 +2026-07-21 19:35:00+00:00,748.1699829101562,748.5700073242188,748.1199951171875,748.4099731445312,332389 +2026-07-21 19:40:00+00:00,748.4005126953125,748.5880126953125,748.239990234375,748.530029296875,742764 +2026-07-21 19:45:00+00:00,748.530029296875,748.6400146484375,748.2449951171875,748.60498046875,605051 +2026-07-21 19:50:00+00:00,748.5900268554688,748.7000122070312,748.2899780273438,748.3800048828125,1277177 +2026-07-21 19:55:00+00:00,748.3800048828125,748.5800170898438,748.0900268554688,748.3300170898438,1743645 +2026-07-22 13:30:00+00:00,746.6199951171875,747.5700073242188,746.3699951171875,747.3150024414062,1723196 +2026-07-22 13:35:00+00:00,747.3099975585938,747.489990234375,747.02001953125,747.4000244140625,398272 +2026-07-22 13:40:00+00:00,747.4099731445312,747.7000122070312,747.0900268554688,747.5700073242188,386033 +2026-07-22 13:45:00+00:00,747.5999755859375,748.0599975585938,747.5700073242188,747.760009765625,387195 +2026-07-22 13:50:00+00:00,747.739990234375,748.1799926757812,747.39501953125,748.1500244140625,499544 +2026-07-22 13:55:00+00:00,748.1300048828125,748.7849731445312,748.02001953125,748.780029296875,496342 +2026-07-22 14:00:00+00:00,748.77001953125,748.969970703125,748.52001953125,748.969970703125,393130 +2026-07-22 14:05:00+00:00,748.969970703125,749.3800048828125,748.510009765625,748.5401000976562,386190 +2026-07-22 14:10:00+00:00,748.5399780273438,748.7750244140625,748.110107421875,748.239990234375,289947 +2026-07-22 14:15:00+00:00,748.260009765625,748.3200073242188,747.77001953125,748.1300048828125,251758 +2026-07-22 14:20:00+00:00,748.1400146484375,748.4299926757812,747.3800048828125,747.5999755859375,390741 +2026-07-22 14:25:00+00:00,747.6300048828125,747.8099975585938,747.0900268554688,747.2999877929688,311511 +2026-07-22 14:30:00+00:00,747.2899780273438,747.7899780273438,747.1699829101562,747.239990234375,405856 +2026-07-22 14:35:00+00:00,747.260009765625,747.4500122070312,747.05078125,747.3099975585938,396475 +2026-07-22 14:40:00+00:00,747.2999877929688,747.4500122070312,746.760009765625,746.780029296875,250611 +2026-07-22 14:45:00+00:00,746.7899780273438,747.469970703125,746.6799926757812,747.3699951171875,297686 +2026-07-22 14:50:00+00:00,747.3800048828125,747.6500244140625,747.0900268554688,747.4199829101562,348917 +2026-07-22 14:55:00+00:00,747.3900146484375,747.9769897460938,747.1500244140625,747.9349975585938,280430 +2026-07-22 15:00:00+00:00,747.9299926757812,748.4400024414062,747.8900146484375,748.3049926757812,277938 +2026-07-22 15:05:00+00:00,748.2999877929688,748.75,748.2000122070312,748.6099853515625,333941 +2026-07-22 15:10:00+00:00,748.6099853515625,749.039306640625,748.5900268554688,748.875,275844 +2026-07-22 15:15:00+00:00,748.8800048828125,748.9849853515625,748.52001953125,748.8599853515625,382048 +2026-07-22 15:20:00+00:00,748.8699951171875,749.4000244140625,748.8300170898438,749.3099975585938,177372 +2026-07-22 15:25:00+00:00,749.3200073242188,749.6799926757812,749.2606811523438,749.4099731445312,274008 +2026-07-22 15:30:00+00:00,749.4199829101562,749.510009765625,748.9199829101562,748.9600219726562,258364 +2026-07-22 15:35:00+00:00,748.9849853515625,749.1400146484375,748.7506713867188,748.9149780273438,184888 +2026-07-22 15:40:00+00:00,748.9149780273438,749.2100219726562,748.8499755859375,749.0,123396 +2026-07-22 15:45:00+00:00,749.02001953125,749.3800048828125,749.02001953125,749.3800048828125,251782 +2026-07-22 15:50:00+00:00,749.3800048828125,749.5900268554688,749.22998046875,749.280029296875,154286 +2026-07-22 15:55:00+00:00,749.260009765625,749.7899780273438,749.1799926757812,749.760009765625,157530 +2026-07-22 16:00:00+00:00,749.760009765625,749.8200073242188,749.489990234375,749.6849975585938,191780 +2026-07-22 16:05:00+00:00,749.6900024414062,749.9099731445312,749.5399780273438,749.7449951171875,230076 +2026-07-22 16:10:00+00:00,749.739990234375,749.7899780273438,749.5999755859375,749.7100219726562,200353 +2026-07-22 16:15:00+00:00,749.7100219726562,750.02001953125,749.6799926757812,749.9749755859375,195351 +2026-07-22 16:20:00+00:00,749.969970703125,749.969970703125,749.780029296875,749.8699951171875,234835 +2026-07-22 16:25:00+00:00,749.8699951171875,749.9400024414062,749.6799926757812,749.8499755859375,242635 +2026-07-22 16:30:00+00:00,749.8599853515625,750.0048217773438,749.75,749.9299926757812,178756 +2026-07-22 16:35:00+00:00,749.9199829101562,749.9600219726562,749.7899780273438,749.8699951171875,313848 +2026-07-22 16:40:00+00:00,749.8900146484375,749.8900146484375,749.6400146484375,749.7550048828125,179533 +2026-07-22 16:45:00+00:00,749.760009765625,749.9000244140625,749.52001953125,749.60498046875,179344 +2026-07-22 16:50:00+00:00,749.6099853515625,749.6799926757812,749.47998046875,749.52001953125,132286 +2026-07-22 16:55:00+00:00,749.510009765625,749.9500122070312,749.5,749.8300170898438,146439 +2026-07-22 17:00:00+00:00,749.8350219726562,749.9600219726562,749.3699951171875,749.5,233695 +2026-07-22 17:05:00+00:00,749.5,749.75,749.47998046875,749.6099853515625,580307 +2026-07-22 17:10:00+00:00,749.5999755859375,749.6199951171875,749.25,749.3200073242188,361788 +2026-07-22 17:15:00+00:00,749.3099975585938,749.4299926757812,749.1900024414062,749.25,502612 +2026-07-22 17:20:00+00:00,749.239990234375,749.260009765625,748.9500122070312,749.1749877929688,195943 +2026-07-22 17:25:00+00:00,749.1699829101562,749.3900146484375,749.0,749.0444946289062,196990 +2026-07-22 17:30:00+00:00,749.0499877929688,749.2899780273438,748.8599853515625,748.8800048828125,244761 +2026-07-22 17:35:00+00:00,748.8800048828125,749.4099731445312,748.8499755859375,749.3599853515625,210400 +2026-07-22 17:40:00+00:00,749.3599853515625,749.3699951171875,749.0499877929688,749.1199951171875,175551 +2026-07-22 17:45:00+00:00,749.1300048828125,749.22998046875,749.0150146484375,749.0499877929688,126164 +2026-07-22 17:50:00+00:00,749.0399780273438,749.1500244140625,748.6920166015625,748.7100219726562,166578 +2026-07-22 17:55:00+00:00,748.7000122070312,748.7000122070312,748.3900146484375,748.52001953125,645620 +2026-07-22 18:00:00+00:00,748.5150146484375,748.7100219726562,748.2000122070312,748.3800048828125,297919 +2026-07-22 18:05:00+00:00,748.3800048828125,748.6900024414062,748.27001953125,748.3289794921875,295069 +2026-07-22 18:10:00+00:00,748.2999877929688,748.4000244140625,748.010009765625,748.0399780273438,232207 +2026-07-22 18:15:00+00:00,748.030029296875,748.3900146484375,748.0250244140625,748.22998046875,203582 +2026-07-22 18:20:00+00:00,748.25,748.5900268554688,748.1599731445312,748.2225952148438,238646 +2026-07-22 18:25:00+00:00,748.22998046875,748.5499877929688,748.2100219726562,748.489990234375,188785 +2026-07-22 18:30:00+00:00,748.489990234375,748.489990234375,748.0499877929688,748.2000122070312,276360 +2026-07-22 18:35:00+00:00,748.1900024414062,748.469970703125,748.1599731445312,748.4099731445312,188524 +2026-07-22 18:40:00+00:00,748.4299926757812,748.469970703125,748.22998046875,748.2901000976562,288221 +2026-07-22 18:45:00+00:00,748.2899780273438,748.5999755859375,748.2048950195312,748.2224731445312,216078 +2026-07-22 18:50:00+00:00,748.219970703125,748.5798950195312,748.1099853515625,748.52001953125,245576 +2026-07-22 18:55:00+00:00,748.5,748.5900268554688,748.37890625,748.4099731445312,183536 +2026-07-22 19:00:00+00:00,748.4400024414062,748.4600219726562,748.1500244140625,748.239990234375,208281 +2026-07-22 19:05:00+00:00,748.2449951171875,748.3499755859375,748.1500244140625,748.1900024414062,162600 +2026-07-22 19:10:00+00:00,748.2000122070312,748.239990234375,747.8300170898438,747.8900146484375,248523 +2026-07-22 19:15:00+00:00,747.9000244140625,748.1900024414062,747.8300170898438,748.1099853515625,189199 +2026-07-22 19:20:00+00:00,748.1099853515625,748.1199951171875,747.7999877929688,747.8499755859375,205636 +2026-07-22 19:25:00+00:00,747.8499755859375,748.0999755859375,747.6500244140625,748.0,415094 +2026-07-22 19:30:00+00:00,748.0,748.0,747.6699829101562,747.7100219726562,616066 +2026-07-22 19:35:00+00:00,747.7100219726562,747.7999877929688,747.3599853515625,747.4099731445312,522654 +2026-07-22 19:40:00+00:00,747.4215087890625,747.9199829101562,747.4199829101562,747.7899780273438,556526 +2026-07-22 19:45:00+00:00,747.7949829101562,748.0700073242188,747.7550048828125,747.97998046875,742707 +2026-07-22 19:50:00+00:00,747.989990234375,748.2999877929688,747.6900024414062,747.8099975585938,870972 +2026-07-22 19:55:00+00:00,747.8200073242188,748.239990234375,747.2949829101562,747.3300170898438,3100017 +2026-07-23 13:30:00+00:00,739.3699951171875,741.3699951171875,738.469970703125,741.3200073242188,4201871 +2026-07-23 13:35:00+00:00,741.2999877929688,741.8699951171875,740.8499755859375,741.4450073242188,793095 +2026-07-23 13:40:00+00:00,741.4199829101562,742.5599975585938,741.4199829101562,741.8200073242188,612613 +2026-07-23 13:45:00+00:00,741.8499755859375,741.9949951171875,740.1699829101562,740.4000244140625,807521 +2026-07-23 13:50:00+00:00,740.3699951171875,740.9450073242188,739.719970703125,740.9299926757812,1031948 +2026-07-23 13:55:00+00:00,740.9500122070312,741.280029296875,739.2999877929688,739.5750122070312,676870 +2026-07-23 14:00:00+00:00,739.5800170898438,740.6300048828125,739.5800170898438,740.344970703125,531714 +2026-07-23 14:05:00+00:00,740.3599853515625,740.9299926757812,738.8699951171875,739.3599853515625,443580 +2026-07-23 14:10:00+00:00,739.344970703125,740.5399780273438,739.2100219726562,739.6900024414062,445606 +2026-07-23 14:15:00+00:00,739.6599731445312,740.3599853515625,739.4099731445312,739.510009765625,449562 +2026-07-23 14:20:00+00:00,739.52001953125,740.4349975585938,739.1699829101562,739.4400024414062,577693 +2026-07-23 14:25:00+00:00,739.4000244140625,739.9099731445312,738.989990234375,739.7999877929688,545442 +2026-07-23 14:30:00+00:00,739.739990234375,740.0399780273438,738.6599731445312,738.969970703125,449770 +2026-07-23 14:35:00+00:00,738.97998046875,740.510009765625,738.5900268554688,740.3800048828125,780782 +2026-07-23 14:40:00+00:00,740.3800048828125,740.6400146484375,738.6699829101562,738.8699951171875,432500 +2026-07-23 14:45:00+00:00,738.8599853515625,739.469970703125,738.6699829101562,738.8300170898438,422993 +2026-07-23 14:50:00+00:00,738.8400268554688,739.0700073242188,738.010009765625,738.1400146484375,527804 +2026-07-23 14:55:00+00:00,738.155029296875,738.5800170898438,738.0700073242188,738.3099975585938,354913 +2026-07-23 15:00:00+00:00,738.3200073242188,738.47998046875,737.5,737.6599731445312,456987 +2026-07-23 15:05:00+00:00,737.6699829101562,737.7000122070312,736.9400024414062,737.155029296875,831070 +2026-07-23 15:10:00+00:00,737.1599731445312,737.4099731445312,736.4500122070312,736.6500244140625,985434 +2026-07-23 15:15:00+00:00,736.6199951171875,737.2750244140625,736.5800170898438,737.1799926757812,637201 +2026-07-23 15:20:00+00:00,737.2000122070312,737.6900024414062,735.97998046875,736.669921875,1020234 +2026-07-23 15:25:00+00:00,736.6699829101562,736.7203979492188,735.8099975585938,735.9298706054688,857021 +2026-07-23 15:30:00+00:00,735.9099731445312,736.4199829101562,735.2100219726562,736.4099731445312,810901 +2026-07-23 15:35:00+00:00,736.4099731445312,737.4400024414062,736.3800048828125,737.3480224609375,696790 +2026-07-23 15:40:00+00:00,737.3400268554688,737.6599731445312,736.6400146484375,736.6400146484375,544099 +2026-07-23 15:45:00+00:00,736.6400146484375,736.969970703125,736.3599853515625,736.8961791992188,352859 +2026-07-23 15:50:00+00:00,736.8900146484375,737.3300170898438,736.5900268554688,737.3200073242188,320277 +2026-07-23 15:55:00+00:00,737.3300170898438,737.9000244140625,737.1199951171875,737.844970703125,333004 +2026-07-23 16:00:00+00:00,737.844970703125,738.3099975585938,737.530029296875,738.0349731445312,421746 +2026-07-23 16:05:00+00:00,738.0399780273438,738.469970703125,737.5499877929688,738.469970703125,343277 +2026-07-23 16:10:00+00:00,738.469970703125,738.8350219726562,738.4199829101562,738.6199951171875,409071 +2026-07-23 16:15:00+00:00,738.6199951171875,738.8300170898438,738.219970703125,738.5700073242188,1292232 +2026-07-23 16:20:00+00:00,738.5828247070312,739.6599731445312,738.5700073242188,739.4600219726562,484093 +2026-07-23 16:25:00+00:00,739.4500122070312,739.6199951171875,739.1500244140625,739.4500122070312,378385 +2026-07-23 16:30:00+00:00,739.4500122070312,739.489990234375,739.0599975585938,739.1199951171875,328174 +2026-07-23 16:35:00+00:00,739.0999755859375,739.719970703125,738.9400024414062,739.6998901367188,333622 +2026-07-23 16:40:00+00:00,739.7000122070312,739.7100219726562,738.969970703125,738.969970703125,222903 +2026-07-23 16:45:00+00:00,738.9600219726562,738.9600219726562,738.010009765625,738.0250244140625,351531 +2026-07-23 16:50:00+00:00,738.02001953125,738.3400268554688,737.75,737.97998046875,299219 +2026-07-23 16:55:00+00:00,737.97998046875,738.7100219726562,737.97998046875,738.6599731445312,271435 +2026-07-23 17:00:00+00:00,738.6699829101562,738.9400024414062,738.2000122070312,738.2100219726562,175458 +2026-07-23 17:05:00+00:00,738.219970703125,738.489990234375,737.7899780273438,738.489990234375,423821 +2026-07-23 17:10:00+00:00,738.4600219726562,738.8400268554688,738.4299926757812,738.6099853515625,405299 +2026-07-23 17:15:00+00:00,738.5599975585938,738.9000244140625,738.1599731445312,738.5250244140625,519411 +2026-07-23 17:20:00+00:00,738.5650024414062,739.030029296875,738.4000244140625,738.989990234375,1506693 +2026-07-23 17:25:00+00:00,738.97998046875,739.2000122070312,738.739990234375,738.75,374258 +2026-07-23 17:30:00+00:00,738.739990234375,738.7999877929688,738.0499877929688,738.0900268554688,647896 +2026-07-23 17:35:00+00:00,738.0549926757812,738.1199951171875,737.4650268554688,737.6199951171875,154118 +2026-07-23 17:40:00+00:00,737.6199951171875,737.8599853515625,737.27001953125,737.7100219726562,189087 +2026-07-23 17:45:00+00:00,737.7000122070312,738.2899780273438,737.5,738.1599731445312,179442 +2026-07-23 17:50:00+00:00,738.1699829101562,738.2399291992188,737.7000122070312,737.7100219726562,140875 +2026-07-23 17:55:00+00:00,737.6500244140625,737.7098999023438,737.1300048828125,737.1900024414062,149773 +2026-07-23 18:00:00+00:00,737.1599731445312,737.3099975585938,736.9000244140625,736.97998046875,212506 +2026-07-23 18:05:00+00:00,736.969970703125,737.1599731445312,736.8001098632812,736.8619995117188,209211 +2026-07-23 18:10:00+00:00,736.8900146484375,737.3699951171875,736.8699951171875,737.02978515625,593695 +2026-07-23 18:15:00+00:00,736.9719848632812,737.3599853515625,736.8200073242188,737.0,281077 +2026-07-23 18:20:00+00:00,737.02001953125,737.4400024414062,736.9400024414062,737.4099731445312,183660 +2026-07-23 18:25:00+00:00,737.4199829101562,737.489990234375,737.0349731445312,737.4199829101562,218263 +2026-07-23 18:30:00+00:00,737.4149780273438,737.6599731445312,737.3200073242188,737.5999755859375,279276 +2026-07-23 18:35:00+00:00,737.5800170898438,737.6900024414062,736.8300170898438,736.9299926757812,327191 +2026-07-23 18:40:00+00:00,736.9299926757812,737.02001953125,736.6099853515625,736.8400268554688,415699 +2026-07-23 18:45:00+00:00,736.8300170898438,737.4500122070312,736.8300170898438,737.2999877929688,583968 +2026-07-23 18:50:00+00:00,737.2999877929688,737.3699951171875,736.6868286132812,736.719970703125,295039 +2026-07-23 18:55:00+00:00,736.7100219726562,737.0599975585938,736.6300048828125,737.0499877929688,491634 +2026-07-23 19:00:00+00:00,737.0800170898438,737.3900146484375,736.780029296875,736.7999877929688,340647 +2026-07-23 19:05:00+00:00,736.7999877929688,736.9600219726562,736.7000122070312,736.72998046875,257690 +2026-07-23 19:10:00+00:00,736.719970703125,736.875,736.469970703125,736.5999755859375,201871 +2026-07-23 19:15:00+00:00,736.5999755859375,737.1599731445312,736.5900268554688,736.9500122070312,339486 +2026-07-23 19:20:00+00:00,736.969970703125,737.6300048828125,736.9500122070312,737.6199951171875,451009 +2026-07-23 19:25:00+00:00,737.6199951171875,737.9000244140625,737.3200073242188,737.47998046875,493815 +2026-07-23 19:30:00+00:00,737.489990234375,737.739990234375,736.6799926757812,737.1500244140625,580631 +2026-07-23 19:35:00+00:00,737.14501953125,737.219970703125,736.8300170898438,736.8900146484375,702327 +2026-07-23 19:40:00+00:00,736.8699951171875,736.97998046875,736.25,736.25,1754270 +2026-07-23 19:45:00+00:00,736.260009765625,736.4000244140625,735.719970703125,735.9249877929688,988958 +2026-07-23 19:50:00+00:00,735.9299926757812,736.97998046875,735.9299926757812,736.7100219726562,2437408 +2026-07-23 19:55:00+00:00,736.72998046875,738.6400146484375,736.72998046875,738.1699829101562,5113800 +2026-07-24 13:30:00+00:00,738.510009765625,739.5,738.4199829101562,739.277099609375,1467113 +2026-07-24 13:35:00+00:00,739.2899780273438,739.6599731445312,738.8800048828125,739.1099853515625,415105 +2026-07-24 13:40:00+00:00,739.0999755859375,739.1400756835938,738.6599731445312,738.8101196289062,406628 +2026-07-24 13:45:00+00:00,738.8099975585938,739.8800048828125,738.5700073242188,739.8200073242188,482528 +2026-07-24 13:50:00+00:00,739.8099975585938,739.8099975585938,737.6900024414062,737.8400268554688,758616 +2026-07-24 13:55:00+00:00,737.8300170898438,738.2000122070312,737.4299926757812,737.530029296875,480275 +2026-07-24 14:00:00+00:00,738.1099853515625,738.6701049804688,737.6799926757812,737.7440185546875,777067 +2026-07-24 14:05:00+00:00,737.7899780273438,739.489990234375,737.5700073242188,739.2999877929688,489734 +2026-07-24 14:10:00+00:00,739.2650146484375,739.905029296875,738.8250122070312,739.5394897460938,932941 +2026-07-24 14:15:00+00:00,739.5399780273438,739.7100219726562,738.0,738.5349731445312,993924 +2026-07-24 14:20:00+00:00,738.530029296875,739.9500122070312,738.1599731445312,739.5399780273438,401286 +2026-07-24 14:25:00+00:00,739.5599975585938,739.719970703125,738.969970703125,739.1799926757812,390349 +2026-07-24 14:30:00+00:00,739.1900024414062,739.22998046875,738.3300170898438,738.3400268554688,412680 +2026-07-24 14:35:00+00:00,738.3350219726562,738.8200073242188,737.9099731445312,738.0599975585938,331563 +2026-07-24 14:40:00+00:00,738.030029296875,738.3499755859375,737.8400268554688,737.905029296875,667881 +2026-07-24 14:45:00+00:00,737.8900146484375,738.5499877929688,737.4299926757812,738.530029296875,341313 +2026-07-24 14:50:00+00:00,738.5349731445312,739.3200073242188,738.530029296875,739.010009765625,368611 +2026-07-24 14:55:00+00:00,739.010009765625,740.7000122070312,739.010009765625,740.5900268554688,457825 +2026-07-24 15:00:00+00:00,740.5900268554688,740.9600219726562,740.2100219726562,740.239990234375,1066983 +2026-07-24 15:05:00+00:00,740.22998046875,740.6400146484375,739.6599731445312,739.6998901367188,310429 +2026-07-24 15:10:00+00:00,739.6900024414062,742.1699829101562,739.5800170898438,741.8800048828125,772738 +2026-07-24 15:15:00+00:00,741.8599853515625,743.0,741.3400268554688,741.4774780273438,736171 +2026-07-24 15:20:00+00:00,741.4949951171875,742.6500244140625,741.4099731445312,742.3699951171875,453802 +2026-07-24 15:25:00+00:00,742.39501953125,743.1300048828125,742.3300170898438,742.6099853515625,413289 +2026-07-24 15:30:00+00:00,742.5999755859375,742.9000244140625,742.0499877929688,742.0800170898438,242596 +2026-07-24 15:35:00+00:00,742.0449829101562,743.1580200195312,742.030029296875,743.0700073242188,318123 +2026-07-24 15:40:00+00:00,743.0599975585938,743.25,742.0289916992188,742.2899780273438,273038 +2026-07-24 15:45:00+00:00,742.2899780273438,742.6500244140625,742.0,742.1300048828125,215877 +2026-07-24 15:50:00+00:00,742.135009765625,742.7899780273438,742.1300048828125,742.5599975585938,351940 +2026-07-24 15:55:00+00:00,742.5599975585938,743.1099853515625,742.52001953125,743.0150146484375,310650 +2026-07-24 16:00:00+00:00,743.0399780273438,743.239990234375,742.6400146484375,743.2100219726562,667546 +2026-07-24 16:05:00+00:00,743.2000122070312,743.5499877929688,742.9400024414062,743.280029296875,454257 +2026-07-24 16:10:00+00:00,743.2999877929688,743.719970703125,742.8499755859375,742.969970703125,340403 +2026-07-24 16:15:00+00:00,743.0,743.3200073242188,742.8099975585938,743.1347045898438,255553 +2026-07-24 16:20:00+00:00,743.1448974609375,743.5,743.0999755859375,743.3599243164062,200917 +2026-07-24 16:25:00+00:00,743.3599853515625,743.5700073242188,743.1799926757812,743.1900024414062,178237 +2026-07-24 16:30:00+00:00,743.1699829101562,743.1900024414062,742.3599853515625,742.5,390307 +2026-07-24 16:35:00+00:00,742.5150146484375,742.739990234375,742.22998046875,742.27001953125,210497 +2026-07-24 16:40:00+00:00,742.260009765625,742.260009765625,741.6400146484375,741.6500244140625,236074 +2026-07-24 16:45:00+00:00,741.6400146484375,741.8099975585938,740.9500122070312,741.1898803710938,405413 +2026-07-24 16:50:00+00:00,741.1900024414062,741.27001953125,740.739990234375,741.0700073242188,279526 +2026-07-24 16:55:00+00:00,741.0490112304688,741.760009765625,740.8699951171875,741.4500122070312,199361 +2026-07-24 17:00:00+00:00,741.469970703125,741.5999755859375,741.010009765625,741.1749877929688,182715 +2026-07-24 17:05:00+00:00,741.1699829101562,741.3300170898438,740.3800048828125,740.4182739257812,386540 +2026-07-24 17:10:00+00:00,740.4000244140625,741.0599975585938,740.2301025390625,740.9299926757812,255564 +2026-07-24 17:15:00+00:00,740.9500122070312,741.469970703125,740.6599731445312,741.4099731445312,184125 +2026-07-24 17:20:00+00:00,741.41650390625,741.489990234375,740.9072265625,741.2999877929688,327532 +2026-07-24 17:25:00+00:00,741.2899780273438,741.8400268554688,740.989990234375,741.7100219726562,196903 +2026-07-24 17:30:00+00:00,741.75,742.169189453125,741.530029296875,742.11181640625,156146 +2026-07-24 17:35:00+00:00,742.1099853515625,742.1199951171875,741.4299926757812,741.510009765625,162452 +2026-07-24 17:40:00+00:00,741.52001953125,741.5399780273438,741.0700073242188,741.0800170898438,184684 +2026-07-24 17:45:00+00:00,741.0700073242188,741.3900146484375,740.9199829101562,741.3099975585938,162181 +2026-07-24 17:50:00+00:00,741.3099975585938,741.5349731445312,740.969970703125,741.27001953125,270661 +2026-07-24 17:55:00+00:00,741.2899780273438,741.3900146484375,740.969970703125,740.97998046875,244499 +2026-07-24 18:00:00+00:00,740.989990234375,741.2899780273438,740.77001953125,740.8900146484375,188906 +2026-07-24 18:05:00+00:00,740.8800048828125,741.27001953125,740.75,740.969970703125,338674 +2026-07-24 18:10:00+00:00,741.02001953125,741.0750122070312,740.47998046875,740.5900268554688,257613 +2026-07-24 18:15:00+00:00,740.594970703125,740.6500244140625,740.1400146484375,740.22998046875,387838 +2026-07-24 18:20:00+00:00,740.1900024414062,740.2000122070312,739.719970703125,739.8099975585938,433579 +2026-07-24 18:25:00+00:00,739.7999877929688,739.8800048828125,739.0,739.0349731445312,473174 +2026-07-24 18:30:00+00:00,739.0499877929688,739.1599731445312,738.0700073242188,738.173828125,593684 +2026-07-24 18:35:00+00:00,738.1900024414062,738.6300048828125,737.8300170898438,738.27001953125,879485 +2026-07-24 18:40:00+00:00,738.27001953125,738.27001953125,737.6400146484375,737.8499755859375,439073 +2026-07-24 18:45:00+00:00,737.8699951171875,738.7000122070312,737.7899780273438,738.3099975585938,392359 +2026-07-24 18:50:00+00:00,738.2899780273438,738.5,738.030029296875,738.2050170898438,417134 +2026-07-24 18:55:00+00:00,738.1900024414062,738.7100219726562,738.1400146484375,738.3800048828125,302475 +2026-07-24 19:00:00+00:00,738.3900146484375,738.89501953125,738.2100219726562,738.280029296875,895698 +2026-07-24 19:05:00+00:00,738.25,738.6500244140625,737.5599975585938,737.60498046875,779209 +2026-07-24 19:10:00+00:00,737.6099853515625,738.22998046875,737.469970703125,737.5999755859375,705769 +2026-07-24 19:15:00+00:00,737.5999755859375,737.8300170898438,737.4099731445312,737.7999877929688,1036183 +2026-07-24 19:20:00+00:00,737.8200073242188,738.02001953125,737.2899780273438,737.4299926757812,521023 +2026-07-24 19:25:00+00:00,737.4400024414062,737.8699951171875,737.2999877929688,737.6500244140625,459031 +2026-07-24 19:30:00+00:00,737.719970703125,738.3800048828125,737.6599731445312,738.0900268554688,822160 +2026-07-24 19:35:00+00:00,738.0800170898438,738.6599731445312,737.989990234375,738.1099853515625,1074359 +2026-07-24 19:40:00+00:00,738.1099853515625,738.3400268554688,737.7899780273438,738.280029296875,800742 +2026-07-24 19:45:00+00:00,738.2999877929688,738.4400024414062,737.75,738.3399047851562,1069183 +2026-07-24 19:50:00+00:00,738.3400268554688,738.5800170898438,737.6400146484375,738.469970703125,1055109 +2026-07-24 19:55:00+00:00,738.489990234375,739.0999755859375,738.0499877929688,738.8599853515625,3826336 +2026-07-24 20:00:00+00:00,738.9299926757812,738.9299926757812,738.9299926757812,738.9299926757812,0 diff --git a/data/cache/SPY_5m_5d.csv b/data/cache/SPY_5m_5d.csv new file mode 100644 index 0000000..d96c493 --- /dev/null +++ b/data/cache/SPY_5m_5d.csv @@ -0,0 +1,392 @@ +timestamp,open,high,low,close,volume +2026-07-20 13:30:00+00:00,747.0599975585938,748.0499877929688,746.7999877929688,748.0499877929688,1851776 +2026-07-20 13:35:00+00:00,748.030029296875,748.7100219726562,747.72998046875,748.1699829101562,833394 +2026-07-20 13:40:00+00:00,748.1699829101562,748.5900268554688,748.0599975585938,748.5599975585938,511709 +2026-07-20 13:45:00+00:00,748.5700073242188,748.72998046875,747.530029296875,747.5800170898438,805592 +2026-07-20 13:50:00+00:00,747.5800170898438,747.8400268554688,746.25,746.4550170898438,874876 +2026-07-20 13:55:00+00:00,746.4500122070312,746.489990234375,745.52001953125,745.6900024414062,671795 +2026-07-20 14:00:00+00:00,745.6799926757812,746.3599853515625,745.3900146484375,745.885009765625,524174 +2026-07-20 14:05:00+00:00,745.9000244140625,746.1199951171875,745.27001953125,745.4000244140625,475704 +2026-07-20 14:10:00+00:00,745.3400268554688,745.3800048828125,744.7650146484375,744.989990234375,414066 +2026-07-20 14:15:00+00:00,745.02001953125,745.47998046875,744.6300048828125,744.9000244140625,420432 +2026-07-20 14:20:00+00:00,744.8499755859375,745.2100219726562,744.260009765625,744.969970703125,561519 +2026-07-20 14:25:00+00:00,744.969970703125,745.739990234375,744.9099731445312,745.6799926757812,355120 +2026-07-20 14:30:00+00:00,745.6900024414062,745.9600219726562,745.0399780273438,745.260009765625,475390 +2026-07-20 14:35:00+00:00,745.260009765625,745.530029296875,744.9598999023438,745.3300170898438,453223 +2026-07-20 14:40:00+00:00,745.3499755859375,745.7899780273438,744.7520141601562,744.8900146484375,258874 +2026-07-20 14:45:00+00:00,744.8800048828125,745.739990234375,744.4901123046875,744.6400146484375,323848 +2026-07-20 14:50:00+00:00,744.6199951171875,744.9400024414062,744.1500244140625,744.3250122070312,539597 +2026-07-20 14:55:00+00:00,744.3200073242188,744.489990234375,743.6900024414062,744.1099853515625,429824 +2026-07-20 15:00:00+00:00,744.1400146484375,744.8800048828125,743.8049926757812,744.5800170898438,297794 +2026-07-20 15:05:00+00:00,744.5599975585938,745.4849853515625,743.8499755859375,745.4099731445312,502571 +2026-07-20 15:10:00+00:00,745.4000244140625,745.4600219726562,744.6699829101562,744.7999877929688,226403 +2026-07-20 15:15:00+00:00,744.7999877929688,745.530029296875,744.6099853515625,745.27001953125,295430 +2026-07-20 15:20:00+00:00,745.260009765625,745.969970703125,745.0700073242188,745.75,316075 +2026-07-20 15:25:00+00:00,745.719970703125,745.969970703125,745.219970703125,745.8699951171875,503848 +2026-07-20 15:30:00+00:00,745.8900146484375,746.02001953125,745.77001953125,745.8800048828125,192342 +2026-07-20 15:35:00+00:00,745.9000244140625,745.9299926757812,745.3900146484375,745.4600219726562,214063 +2026-07-20 15:40:00+00:00,745.469970703125,745.969970703125,745.280029296875,745.969970703125,214146 +2026-07-20 15:45:00+00:00,745.97998046875,745.989990234375,745.0999755859375,745.2999877929688,254897 +2026-07-20 15:50:00+00:00,745.2899780273438,746.3599853515625,745.1300048828125,746.219970703125,400298 +2026-07-20 15:55:00+00:00,746.22998046875,746.4400024414062,745.9400024414062,745.989990234375,310885 +2026-07-20 16:00:00+00:00,746.0,746.25,745.5800170898438,746.1599731445312,407969 +2026-07-20 16:05:00+00:00,746.1599731445312,746.8350219726562,746.1599731445312,746.7999877929688,588741 +2026-07-20 16:10:00+00:00,746.780029296875,747.0050048828125,746.6400146484375,746.7899780273438,297597 +2026-07-20 16:15:00+00:00,746.8300170898438,746.844970703125,746.3099975585938,746.6799926757812,314922 +2026-07-20 16:20:00+00:00,746.7000122070312,746.8800048828125,746.6199951171875,746.780029296875,227319 +2026-07-20 16:25:00+00:00,746.780029296875,746.8300170898438,746.1699829101562,746.5,323898 +2026-07-20 16:30:00+00:00,746.489990234375,746.780029296875,745.7999877929688,745.8300170898438,328389 +2026-07-20 16:35:00+00:00,745.8200073242188,746.3699951171875,745.8099975585938,746.3499755859375,240742 +2026-07-20 16:40:00+00:00,746.3300170898438,746.52001953125,744.5,745.4299926757812,1044388 +2026-07-20 16:45:00+00:00,745.4099731445312,746.1799926757812,745.2100219726562,746.1300048828125,420926 +2026-07-20 16:50:00+00:00,746.1199951171875,746.155029296875,744.9099731445312,744.969970703125,316124 +2026-07-20 16:55:00+00:00,744.969970703125,745.1900024414062,744.72998046875,745.0,481423 +2026-07-20 17:00:00+00:00,745.010009765625,745.2100219726562,744.5499877929688,744.552490234375,307945 +2026-07-20 17:05:00+00:00,744.5399780273438,744.6500244140625,744.1300048828125,744.5900268554688,288703 +2026-07-20 17:10:00+00:00,744.5900268554688,744.6400146484375,743.8400268554688,743.9000244140625,294244 +2026-07-20 17:15:00+00:00,743.8900146484375,744.260009765625,743.5599975585938,744.1199951171875,383022 +2026-07-20 17:20:00+00:00,744.114990234375,744.489990234375,743.969970703125,744.1099853515625,228512 +2026-07-20 17:25:00+00:00,744.0999755859375,744.3699951171875,743.8900146484375,744.1199951171875,258856 +2026-07-20 17:30:00+00:00,744.1300048828125,744.4201049804688,743.9500122070312,744.3250122070312,243517 +2026-07-20 17:35:00+00:00,744.2999877929688,744.5399780273438,743.989990234375,744.010009765625,267253 +2026-07-20 17:40:00+00:00,744.030029296875,744.0499877929688,743.5900268554688,743.760009765625,344669 +2026-07-20 17:45:00+00:00,743.77001953125,744.3499755859375,743.6300048828125,744.25,281957 +2026-07-20 17:50:00+00:00,744.219970703125,744.9199829101562,744.2100219726562,744.6500244140625,290349 +2026-07-20 17:55:00+00:00,744.6500244140625,744.6900024414062,744.2100830078125,744.5499877929688,261761 +2026-07-20 18:00:00+00:00,744.5499877929688,745.1699829101562,744.5499877929688,744.8499755859375,363635 +2026-07-20 18:05:00+00:00,744.8400268554688,744.9400024414062,744.530029296875,744.875,239896 +2026-07-20 18:10:00+00:00,744.9000244140625,745.219970703125,744.7100219726562,745.030029296875,219433 +2026-07-20 18:15:00+00:00,745.02001953125,745.3800048828125,744.8800048828125,745.239990234375,387343 +2026-07-20 18:20:00+00:00,745.219970703125,745.2899780273438,744.25,744.280029296875,618991 +2026-07-20 18:25:00+00:00,744.2899780273438,744.7999877929688,744.1300048828125,744.469970703125,343916 +2026-07-20 18:30:00+00:00,744.469970703125,744.489990234375,743.47998046875,743.6649780273438,473873 +2026-07-20 18:35:00+00:00,743.6599731445312,744.2949829101562,743.4400024414062,743.5750122070312,340647 +2026-07-20 18:40:00+00:00,743.5750122070312,743.6199951171875,742.530029296875,742.5449829101562,546380 +2026-07-20 18:45:00+00:00,742.5499877929688,743.0499877929688,742.4299926757812,742.7000122070312,685176 +2026-07-20 18:50:00+00:00,742.7100219726562,743.22998046875,742.5599975585938,743.0999755859375,302428 +2026-07-20 18:55:00+00:00,743.094970703125,743.1400146484375,742.47998046875,742.719970703125,308207 +2026-07-20 19:00:00+00:00,742.760009765625,743.1900024414062,742.4199829101562,742.5900268554688,616940 +2026-07-20 19:05:00+00:00,742.5900268554688,742.8209838867188,742.25,742.6950073242188,525097 +2026-07-20 19:10:00+00:00,742.6994018554688,743.0999755859375,741.7000122070312,741.7000122070312,591743 +2026-07-20 19:15:00+00:00,741.7100219726562,742.2100219726562,741.5103149414062,741.9199829101562,970049 +2026-07-20 19:20:00+00:00,741.9299926757812,742.4299926757812,741.7899780273438,742.2999877929688,614806 +2026-07-20 19:25:00+00:00,742.3200073242188,742.9199829101562,741.8599853515625,742.72998046875,683468 +2026-07-20 19:30:00+00:00,742.739990234375,743.2000122070312,742.3400268554688,742.97998046875,709918 +2026-07-20 19:35:00+00:00,742.9600219726562,743.1300048828125,742.510009765625,742.97998046875,647393 +2026-07-20 19:40:00+00:00,742.969970703125,743.3400268554688,742.7999877929688,742.989990234375,568417 +2026-07-20 19:45:00+00:00,743.0,743.25,742.7000122070312,743.0800170898438,993664 +2026-07-20 19:50:00+00:00,743.0700073242188,743.0700073242188,741.760009765625,742.2000122070312,1894670 +2026-07-20 19:55:00+00:00,742.1799926757812,742.239990234375,741.6099853515625,742.1400146484375,4361321 +2026-07-21 13:30:00+00:00,746.2899780273438,746.6799926757812,745.1199951171875,745.5999755859375,1901011 +2026-07-21 13:35:00+00:00,745.6099853515625,746.231689453125,745.27001953125,745.280029296875,824912 +2026-07-21 13:40:00+00:00,745.260009765625,745.3099975585938,744.2708740234375,744.510009765625,600352 +2026-07-21 13:45:00+00:00,744.52001953125,745.0,744.1799926757812,744.9500122070312,420126 +2026-07-21 13:50:00+00:00,744.969970703125,745.3499755859375,744.260009765625,745.0700073242188,386215 +2026-07-21 13:55:00+00:00,745.0499877929688,745.364990234375,744.6099853515625,745.3599853515625,344126 +2026-07-21 14:00:00+00:00,745.3699951171875,745.869873046875,744.9600219726562,745.4199829101562,348723 +2026-07-21 14:05:00+00:00,745.4199829101562,745.77001953125,745.02001953125,745.1950073242188,212358 +2026-07-21 14:10:00+00:00,745.1900024414062,745.8599853515625,744.9500122070312,745.7449951171875,284660 +2026-07-21 14:15:00+00:00,745.719970703125,746.1699829101562,744.7899780273438,746.02001953125,302137 +2026-07-21 14:20:00+00:00,746.0150146484375,746.1900024414062,745.4550170898438,745.97998046875,224452 +2026-07-21 14:25:00+00:00,745.9600219726562,746.989990234375,745.9299926757812,746.8699951171875,450689 +2026-07-21 14:30:00+00:00,746.8499755859375,747.25,746.5800170898438,746.7999877929688,340012 +2026-07-21 14:35:00+00:00,746.7949829101562,747.02001953125,746.0900268554688,746.2999877929688,301549 +2026-07-21 14:40:00+00:00,746.2999877929688,746.635009765625,745.77001953125,746.5999755859375,298164 +2026-07-21 14:45:00+00:00,746.6099853515625,747.260009765625,746.4500122070312,746.9099731445312,401228 +2026-07-21 14:50:00+00:00,746.9099731445312,746.9600219726562,746.5,746.6900024414062,166050 +2026-07-21 14:55:00+00:00,746.6799926757812,746.7899780273438,746.260009765625,746.739990234375,202701 +2026-07-21 15:00:00+00:00,746.77001953125,746.8900146484375,745.8300170898438,746.0009765625,310493 +2026-07-21 15:05:00+00:00,746.0,747.0700073242188,745.8499755859375,746.97998046875,292853 +2026-07-21 15:10:00+00:00,746.97998046875,747.52001953125,746.9400024414062,747.2097778320312,337144 +2026-07-21 15:15:00+00:00,747.2100219726562,747.5499877929688,747.1588134765625,747.4099731445312,202955 +2026-07-21 15:20:00+00:00,747.4099731445312,747.97998046875,747.3200073242188,747.656005859375,426494 +2026-07-21 15:25:00+00:00,747.6544189453125,748.010009765625,747.6099853515625,748.0,191435 +2026-07-21 15:30:00+00:00,747.97998046875,748.0,747.4099731445312,747.7750244140625,364371 +2026-07-21 15:35:00+00:00,747.7899780273438,747.9299926757812,747.4299926757812,747.5800170898438,267226 +2026-07-21 15:40:00+00:00,747.5599975585938,747.8588256835938,747.5198974609375,747.594970703125,235112 +2026-07-21 15:45:00+00:00,747.580322265625,747.9199829101562,747.530029296875,747.8115234375,165894 +2026-07-21 15:50:00+00:00,747.8200073242188,747.97998046875,747.7000122070312,747.719970703125,270841 +2026-07-21 15:55:00+00:00,747.77001953125,747.9000244140625,747.469970703125,747.52001953125,178981 +2026-07-21 16:00:00+00:00,747.52001953125,748.22998046875,747.489990234375,748.219970703125,235413 +2026-07-21 16:05:00+00:00,748.2255249023438,748.3099975585938,748.0700073242188,748.1500244140625,157808 +2026-07-21 16:10:00+00:00,748.1497802734375,748.27001953125,748.0399780273438,748.22998046875,163585 +2026-07-21 16:15:00+00:00,748.239990234375,748.530029296875,748.219970703125,748.469970703125,456214 +2026-07-21 16:20:00+00:00,748.47998046875,748.75,748.4099731445312,748.5800170898438,202970 +2026-07-21 16:25:00+00:00,748.5800170898438,748.7000122070312,748.4400024414062,748.6599731445312,119457 +2026-07-21 16:30:00+00:00,748.6400146484375,748.780029296875,748.4801025390625,748.6849975585938,186951 +2026-07-21 16:35:00+00:00,748.680908203125,748.719970703125,748.489990234375,748.6699829101562,101468 +2026-07-21 16:40:00+00:00,748.6699829101562,748.739990234375,748.5,748.6099853515625,120496 +2026-07-21 16:45:00+00:00,748.6300048828125,748.6500244140625,748.4000244140625,748.489990234375,125200 +2026-07-21 16:50:00+00:00,748.489990234375,748.9949951171875,748.4500122070312,748.9598999023438,215362 +2026-07-21 16:55:00+00:00,748.9600219726562,749.0399780273438,748.6799926757812,748.6900024414062,620830 +2026-07-21 17:00:00+00:00,748.6884155273438,748.8300170898438,748.5805053710938,748.6199951171875,170343 +2026-07-21 17:05:00+00:00,748.6199951171875,748.85498046875,748.5800170898438,748.7100219726562,356355 +2026-07-21 17:10:00+00:00,748.719970703125,748.739990234375,748.530029296875,748.5999755859375,478893 +2026-07-21 17:15:00+00:00,748.6099853515625,748.6599731445312,748.3300170898438,748.35498046875,335585 +2026-07-21 17:20:00+00:00,748.3499755859375,748.47998046875,748.25,748.4000244140625,192939 +2026-07-21 17:25:00+00:00,748.4199829101562,748.47998046875,748.239990234375,748.3599853515625,175614 +2026-07-21 17:30:00+00:00,748.3599853515625,748.5700073242188,748.2150268554688,748.3599853515625,225080 +2026-07-21 17:35:00+00:00,748.3499755859375,748.7999877929688,748.3400268554688,748.7000122070312,247679 +2026-07-21 17:40:00+00:00,748.7000122070312,748.72998046875,748.510009765625,748.669921875,142384 +2026-07-21 17:45:00+00:00,748.6599731445312,748.8599853515625,748.5499877929688,748.8200073242188,161776 +2026-07-21 17:50:00+00:00,748.8400268554688,748.9299926757812,748.6599731445312,748.6799926757812,306097 +2026-07-21 17:55:00+00:00,748.6749877929688,748.719970703125,748.4400024414062,748.5900268554688,232952 +2026-07-21 18:00:00+00:00,748.5900268554688,748.77001953125,748.260009765625,748.3200073242188,295577 +2026-07-21 18:05:00+00:00,748.2999877929688,748.5499877929688,748.27001953125,748.4550170898438,163057 +2026-07-21 18:10:00+00:00,748.4400024414062,748.5490112304688,748.1199951171875,748.1599731445312,245581 +2026-07-21 18:15:00+00:00,748.1699829101562,748.27001953125,748.0900268554688,748.2100219726562,219304 +2026-07-21 18:20:00+00:00,748.1900024414062,748.4000244140625,748.1099853515625,748.2999877929688,200541 +2026-07-21 18:25:00+00:00,748.2899780273438,748.2999877929688,748.0650024414062,748.2100219726562,316580 +2026-07-21 18:30:00+00:00,748.219970703125,748.260009765625,747.9400024414062,747.969970703125,218286 +2026-07-21 18:35:00+00:00,747.969970703125,748.27001953125,747.9600219726562,748.1500244140625,227217 +2026-07-21 18:40:00+00:00,748.1500244140625,748.6099853515625,748.02001953125,748.5399780273438,215354 +2026-07-21 18:45:00+00:00,748.530029296875,748.6400146484375,748.3800048828125,748.4500122070312,161869 +2026-07-21 18:50:00+00:00,748.469970703125,748.510009765625,748.25,748.25927734375,185937 +2026-07-21 18:55:00+00:00,748.25,748.5700073242188,748.22998046875,748.3699951171875,314496 +2026-07-21 19:00:00+00:00,748.3800048828125,748.469970703125,748.1500244140625,748.27001953125,225750 +2026-07-21 19:05:00+00:00,748.25,748.4199829101562,748.1199951171875,748.135009765625,277072 +2026-07-21 19:10:00+00:00,748.1400146484375,748.4299926757812,748.0900268554688,748.239990234375,308319 +2026-07-21 19:15:00+00:00,748.25,748.4600219726562,748.1900024414062,748.3099975585938,190314 +2026-07-21 19:20:00+00:00,748.3099975585938,748.3900146484375,748.1900024414062,748.3099975585938,183500 +2026-07-21 19:25:00+00:00,748.2899780273438,748.4600219726562,748.219970703125,748.260009765625,375104 +2026-07-21 19:30:00+00:00,748.25,748.3900146484375,748.1500244140625,748.1799926757812,361485 +2026-07-21 19:35:00+00:00,748.1699829101562,748.5700073242188,748.1199951171875,748.4099731445312,332389 +2026-07-21 19:40:00+00:00,748.4005126953125,748.5880126953125,748.239990234375,748.530029296875,742764 +2026-07-21 19:45:00+00:00,748.530029296875,748.6400146484375,748.2449951171875,748.60498046875,605051 +2026-07-21 19:50:00+00:00,748.5900268554688,748.7000122070312,748.2899780273438,748.3800048828125,1277177 +2026-07-21 19:55:00+00:00,748.3800048828125,748.5800170898438,748.0900268554688,748.3300170898438,1743645 +2026-07-22 13:30:00+00:00,746.6199951171875,747.5700073242188,746.3699951171875,747.3150024414062,1723196 +2026-07-22 13:35:00+00:00,747.3099975585938,747.489990234375,747.02001953125,747.4000244140625,398272 +2026-07-22 13:40:00+00:00,747.4099731445312,747.7000122070312,747.0900268554688,747.5700073242188,386033 +2026-07-22 13:45:00+00:00,747.5999755859375,748.0599975585938,747.5700073242188,747.760009765625,387195 +2026-07-22 13:50:00+00:00,747.739990234375,748.1799926757812,747.39501953125,748.1500244140625,499544 +2026-07-22 13:55:00+00:00,748.1300048828125,748.7849731445312,748.02001953125,748.780029296875,496342 +2026-07-22 14:00:00+00:00,748.77001953125,748.969970703125,748.52001953125,748.969970703125,393130 +2026-07-22 14:05:00+00:00,748.969970703125,749.3800048828125,748.510009765625,748.5401000976562,386190 +2026-07-22 14:10:00+00:00,748.5399780273438,748.7750244140625,748.110107421875,748.239990234375,289947 +2026-07-22 14:15:00+00:00,748.260009765625,748.3200073242188,747.77001953125,748.1300048828125,251758 +2026-07-22 14:20:00+00:00,748.1400146484375,748.4299926757812,747.3800048828125,747.5999755859375,390741 +2026-07-22 14:25:00+00:00,747.6300048828125,747.8099975585938,747.0900268554688,747.2999877929688,311511 +2026-07-22 14:30:00+00:00,747.2899780273438,747.7899780273438,747.1699829101562,747.239990234375,405856 +2026-07-22 14:35:00+00:00,747.260009765625,747.4500122070312,747.05078125,747.3099975585938,396475 +2026-07-22 14:40:00+00:00,747.2999877929688,747.4500122070312,746.760009765625,746.780029296875,250611 +2026-07-22 14:45:00+00:00,746.7899780273438,747.469970703125,746.6799926757812,747.3699951171875,297686 +2026-07-22 14:50:00+00:00,747.3800048828125,747.6500244140625,747.0900268554688,747.4199829101562,348917 +2026-07-22 14:55:00+00:00,747.3900146484375,747.9769897460938,747.1500244140625,747.9349975585938,280430 +2026-07-22 15:00:00+00:00,747.9299926757812,748.4400024414062,747.8900146484375,748.3049926757812,277938 +2026-07-22 15:05:00+00:00,748.2999877929688,748.75,748.2000122070312,748.6099853515625,333941 +2026-07-22 15:10:00+00:00,748.6099853515625,749.039306640625,748.5900268554688,748.875,275844 +2026-07-22 15:15:00+00:00,748.8800048828125,748.9849853515625,748.52001953125,748.8599853515625,382048 +2026-07-22 15:20:00+00:00,748.8699951171875,749.4000244140625,748.8300170898438,749.3099975585938,177372 +2026-07-22 15:25:00+00:00,749.3200073242188,749.6799926757812,749.2606811523438,749.4099731445312,274008 +2026-07-22 15:30:00+00:00,749.4199829101562,749.510009765625,748.9199829101562,748.9600219726562,258364 +2026-07-22 15:35:00+00:00,748.9849853515625,749.1400146484375,748.7506713867188,748.9149780273438,184888 +2026-07-22 15:40:00+00:00,748.9149780273438,749.2100219726562,748.8499755859375,749.0,123396 +2026-07-22 15:45:00+00:00,749.02001953125,749.3800048828125,749.02001953125,749.3800048828125,251782 +2026-07-22 15:50:00+00:00,749.3800048828125,749.5900268554688,749.22998046875,749.280029296875,154286 +2026-07-22 15:55:00+00:00,749.260009765625,749.7899780273438,749.1799926757812,749.760009765625,157530 +2026-07-22 16:00:00+00:00,749.760009765625,749.8200073242188,749.489990234375,749.6849975585938,191780 +2026-07-22 16:05:00+00:00,749.6900024414062,749.9099731445312,749.5399780273438,749.7449951171875,230076 +2026-07-22 16:10:00+00:00,749.739990234375,749.7899780273438,749.5999755859375,749.7100219726562,200353 +2026-07-22 16:15:00+00:00,749.7100219726562,750.02001953125,749.6799926757812,749.9749755859375,195351 +2026-07-22 16:20:00+00:00,749.969970703125,749.969970703125,749.780029296875,749.8699951171875,234835 +2026-07-22 16:25:00+00:00,749.8699951171875,749.9400024414062,749.6799926757812,749.8499755859375,242635 +2026-07-22 16:30:00+00:00,749.8599853515625,750.0048217773438,749.75,749.9299926757812,178756 +2026-07-22 16:35:00+00:00,749.9199829101562,749.9600219726562,749.7899780273438,749.8699951171875,313848 +2026-07-22 16:40:00+00:00,749.8900146484375,749.8900146484375,749.6400146484375,749.7550048828125,179533 +2026-07-22 16:45:00+00:00,749.760009765625,749.9000244140625,749.52001953125,749.60498046875,179344 +2026-07-22 16:50:00+00:00,749.6099853515625,749.6799926757812,749.47998046875,749.52001953125,132286 +2026-07-22 16:55:00+00:00,749.510009765625,749.9500122070312,749.5,749.8300170898438,146439 +2026-07-22 17:00:00+00:00,749.8350219726562,749.9600219726562,749.3699951171875,749.5,233695 +2026-07-22 17:05:00+00:00,749.5,749.75,749.47998046875,749.6099853515625,580307 +2026-07-22 17:10:00+00:00,749.5999755859375,749.6199951171875,749.25,749.3200073242188,361788 +2026-07-22 17:15:00+00:00,749.3099975585938,749.4299926757812,749.1900024414062,749.25,502612 +2026-07-22 17:20:00+00:00,749.239990234375,749.260009765625,748.9500122070312,749.1749877929688,195943 +2026-07-22 17:25:00+00:00,749.1699829101562,749.3900146484375,749.0,749.0444946289062,196990 +2026-07-22 17:30:00+00:00,749.0499877929688,749.2899780273438,748.8599853515625,748.8800048828125,244761 +2026-07-22 17:35:00+00:00,748.8800048828125,749.4099731445312,748.8499755859375,749.3599853515625,210400 +2026-07-22 17:40:00+00:00,749.3599853515625,749.3699951171875,749.0499877929688,749.1199951171875,175551 +2026-07-22 17:45:00+00:00,749.1300048828125,749.22998046875,749.0150146484375,749.0499877929688,126164 +2026-07-22 17:50:00+00:00,749.0399780273438,749.1500244140625,748.6920166015625,748.7100219726562,166578 +2026-07-22 17:55:00+00:00,748.7000122070312,748.7000122070312,748.3900146484375,748.52001953125,645620 +2026-07-22 18:00:00+00:00,748.5150146484375,748.7100219726562,748.2000122070312,748.3800048828125,297919 +2026-07-22 18:05:00+00:00,748.3800048828125,748.6900024414062,748.27001953125,748.3289794921875,295069 +2026-07-22 18:10:00+00:00,748.2999877929688,748.4000244140625,748.010009765625,748.0399780273438,232207 +2026-07-22 18:15:00+00:00,748.030029296875,748.3900146484375,748.0250244140625,748.22998046875,203582 +2026-07-22 18:20:00+00:00,748.25,748.5900268554688,748.1599731445312,748.2225952148438,238646 +2026-07-22 18:25:00+00:00,748.22998046875,748.5499877929688,748.2100219726562,748.489990234375,188785 +2026-07-22 18:30:00+00:00,748.489990234375,748.489990234375,748.0499877929688,748.2000122070312,276360 +2026-07-22 18:35:00+00:00,748.1900024414062,748.469970703125,748.1599731445312,748.4099731445312,188524 +2026-07-22 18:40:00+00:00,748.4299926757812,748.469970703125,748.22998046875,748.2901000976562,288221 +2026-07-22 18:45:00+00:00,748.2899780273438,748.5999755859375,748.2048950195312,748.2224731445312,216078 +2026-07-22 18:50:00+00:00,748.219970703125,748.5798950195312,748.1099853515625,748.52001953125,245576 +2026-07-22 18:55:00+00:00,748.5,748.5900268554688,748.37890625,748.4099731445312,183536 +2026-07-22 19:00:00+00:00,748.4400024414062,748.4600219726562,748.1500244140625,748.239990234375,208281 +2026-07-22 19:05:00+00:00,748.2449951171875,748.3499755859375,748.1500244140625,748.1900024414062,162600 +2026-07-22 19:10:00+00:00,748.2000122070312,748.239990234375,747.8300170898438,747.8900146484375,248523 +2026-07-22 19:15:00+00:00,747.9000244140625,748.1900024414062,747.8300170898438,748.1099853515625,189199 +2026-07-22 19:20:00+00:00,748.1099853515625,748.1199951171875,747.7999877929688,747.8499755859375,205636 +2026-07-22 19:25:00+00:00,747.8499755859375,748.0999755859375,747.6500244140625,748.0,415094 +2026-07-22 19:30:00+00:00,748.0,748.0,747.6699829101562,747.7100219726562,616066 +2026-07-22 19:35:00+00:00,747.7100219726562,747.7999877929688,747.3599853515625,747.4099731445312,522654 +2026-07-22 19:40:00+00:00,747.4215087890625,747.9199829101562,747.4199829101562,747.7899780273438,556526 +2026-07-22 19:45:00+00:00,747.7949829101562,748.0700073242188,747.7550048828125,747.97998046875,742707 +2026-07-22 19:50:00+00:00,747.989990234375,748.2999877929688,747.6900024414062,747.8099975585938,870972 +2026-07-22 19:55:00+00:00,747.8200073242188,748.239990234375,747.2949829101562,747.3300170898438,3100017 +2026-07-23 13:30:00+00:00,739.3699951171875,741.3699951171875,738.469970703125,741.3200073242188,4201871 +2026-07-23 13:35:00+00:00,741.2999877929688,741.8699951171875,740.8499755859375,741.4450073242188,793095 +2026-07-23 13:40:00+00:00,741.4199829101562,742.5599975585938,741.4199829101562,741.8200073242188,612613 +2026-07-23 13:45:00+00:00,741.8499755859375,741.9949951171875,740.1699829101562,740.4000244140625,807521 +2026-07-23 13:50:00+00:00,740.3699951171875,740.9450073242188,739.719970703125,740.9299926757812,1031948 +2026-07-23 13:55:00+00:00,740.9500122070312,741.280029296875,739.2999877929688,739.5750122070312,676870 +2026-07-23 14:00:00+00:00,739.5800170898438,740.6300048828125,739.5800170898438,740.344970703125,531714 +2026-07-23 14:05:00+00:00,740.3599853515625,740.9299926757812,738.8699951171875,739.3599853515625,443580 +2026-07-23 14:10:00+00:00,739.344970703125,740.5399780273438,739.2100219726562,739.6900024414062,445606 +2026-07-23 14:15:00+00:00,739.6599731445312,740.3599853515625,739.4099731445312,739.510009765625,449562 +2026-07-23 14:20:00+00:00,739.52001953125,740.4349975585938,739.1699829101562,739.4400024414062,577693 +2026-07-23 14:25:00+00:00,739.4000244140625,739.9099731445312,738.989990234375,739.7999877929688,545442 +2026-07-23 14:30:00+00:00,739.739990234375,740.0399780273438,738.6599731445312,738.969970703125,449770 +2026-07-23 14:35:00+00:00,738.97998046875,740.510009765625,738.5900268554688,740.3800048828125,780782 +2026-07-23 14:40:00+00:00,740.3800048828125,740.6400146484375,738.6699829101562,738.8699951171875,432500 +2026-07-23 14:45:00+00:00,738.8599853515625,739.469970703125,738.6699829101562,738.8300170898438,422993 +2026-07-23 14:50:00+00:00,738.8400268554688,739.0700073242188,738.010009765625,738.1400146484375,527804 +2026-07-23 14:55:00+00:00,738.155029296875,738.5800170898438,738.0700073242188,738.3099975585938,354913 +2026-07-23 15:00:00+00:00,738.3200073242188,738.47998046875,737.5,737.6599731445312,456987 +2026-07-23 15:05:00+00:00,737.6699829101562,737.7000122070312,736.9400024414062,737.155029296875,831070 +2026-07-23 15:10:00+00:00,737.1599731445312,737.4099731445312,736.4500122070312,736.6500244140625,985434 +2026-07-23 15:15:00+00:00,736.6199951171875,737.2750244140625,736.5800170898438,737.1799926757812,637201 +2026-07-23 15:20:00+00:00,737.2000122070312,737.6900024414062,735.97998046875,736.669921875,1020234 +2026-07-23 15:25:00+00:00,736.6699829101562,736.7203979492188,735.8099975585938,735.9298706054688,857021 +2026-07-23 15:30:00+00:00,735.9099731445312,736.4199829101562,735.2100219726562,736.4099731445312,810901 +2026-07-23 15:35:00+00:00,736.4099731445312,737.4400024414062,736.3800048828125,737.3480224609375,696790 +2026-07-23 15:40:00+00:00,737.3400268554688,737.6599731445312,736.6400146484375,736.6400146484375,544099 +2026-07-23 15:45:00+00:00,736.6400146484375,736.969970703125,736.3599853515625,736.8961791992188,352859 +2026-07-23 15:50:00+00:00,736.8900146484375,737.3300170898438,736.5900268554688,737.3200073242188,320277 +2026-07-23 15:55:00+00:00,737.3300170898438,737.9000244140625,737.1199951171875,737.844970703125,333004 +2026-07-23 16:00:00+00:00,737.844970703125,738.3099975585938,737.530029296875,738.0349731445312,421746 +2026-07-23 16:05:00+00:00,738.0399780273438,738.469970703125,737.5499877929688,738.469970703125,343277 +2026-07-23 16:10:00+00:00,738.469970703125,738.8350219726562,738.4199829101562,738.6199951171875,409071 +2026-07-23 16:15:00+00:00,738.6199951171875,738.8300170898438,738.219970703125,738.5700073242188,1292232 +2026-07-23 16:20:00+00:00,738.5828247070312,739.6599731445312,738.5700073242188,739.4600219726562,484093 +2026-07-23 16:25:00+00:00,739.4500122070312,739.6199951171875,739.1500244140625,739.4500122070312,378385 +2026-07-23 16:30:00+00:00,739.4500122070312,739.489990234375,739.0599975585938,739.1199951171875,328174 +2026-07-23 16:35:00+00:00,739.0999755859375,739.719970703125,738.9400024414062,739.6998901367188,333622 +2026-07-23 16:40:00+00:00,739.7000122070312,739.7100219726562,738.969970703125,738.969970703125,222903 +2026-07-23 16:45:00+00:00,738.9600219726562,738.9600219726562,738.010009765625,738.0250244140625,351531 +2026-07-23 16:50:00+00:00,738.02001953125,738.3400268554688,737.75,737.97998046875,299219 +2026-07-23 16:55:00+00:00,737.97998046875,738.7100219726562,737.97998046875,738.6599731445312,271435 +2026-07-23 17:00:00+00:00,738.6699829101562,738.9400024414062,738.2000122070312,738.2100219726562,175458 +2026-07-23 17:05:00+00:00,738.219970703125,738.489990234375,737.7899780273438,738.489990234375,423821 +2026-07-23 17:10:00+00:00,738.4600219726562,738.8400268554688,738.4299926757812,738.6099853515625,405299 +2026-07-23 17:15:00+00:00,738.5599975585938,738.9000244140625,738.1599731445312,738.5250244140625,519411 +2026-07-23 17:20:00+00:00,738.5650024414062,739.030029296875,738.4000244140625,738.989990234375,1506693 +2026-07-23 17:25:00+00:00,738.97998046875,739.2000122070312,738.739990234375,738.75,374258 +2026-07-23 17:30:00+00:00,738.739990234375,738.7999877929688,738.0499877929688,738.0900268554688,647896 +2026-07-23 17:35:00+00:00,738.0549926757812,738.1199951171875,737.4650268554688,737.6199951171875,154118 +2026-07-23 17:40:00+00:00,737.6199951171875,737.8599853515625,737.27001953125,737.7100219726562,189087 +2026-07-23 17:45:00+00:00,737.7000122070312,738.2899780273438,737.5,738.1599731445312,179442 +2026-07-23 17:50:00+00:00,738.1699829101562,738.2399291992188,737.7000122070312,737.7100219726562,140875 +2026-07-23 17:55:00+00:00,737.6500244140625,737.7098999023438,737.1300048828125,737.1900024414062,149773 +2026-07-23 18:00:00+00:00,737.1599731445312,737.3099975585938,736.9000244140625,736.97998046875,212506 +2026-07-23 18:05:00+00:00,736.969970703125,737.1599731445312,736.8001098632812,736.8619995117188,209211 +2026-07-23 18:10:00+00:00,736.8900146484375,737.3699951171875,736.8699951171875,737.02978515625,593695 +2026-07-23 18:15:00+00:00,736.9719848632812,737.3599853515625,736.8200073242188,737.0,281077 +2026-07-23 18:20:00+00:00,737.02001953125,737.4400024414062,736.9400024414062,737.4099731445312,183660 +2026-07-23 18:25:00+00:00,737.4199829101562,737.489990234375,737.0349731445312,737.4199829101562,218263 +2026-07-23 18:30:00+00:00,737.4149780273438,737.6599731445312,737.3200073242188,737.5999755859375,279276 +2026-07-23 18:35:00+00:00,737.5800170898438,737.6900024414062,736.8300170898438,736.9299926757812,327191 +2026-07-23 18:40:00+00:00,736.9299926757812,737.02001953125,736.6099853515625,736.8400268554688,415699 +2026-07-23 18:45:00+00:00,736.8300170898438,737.4500122070312,736.8300170898438,737.2999877929688,583968 +2026-07-23 18:50:00+00:00,737.2999877929688,737.3699951171875,736.6868286132812,736.719970703125,295039 +2026-07-23 18:55:00+00:00,736.7100219726562,737.0599975585938,736.6300048828125,737.0499877929688,491634 +2026-07-23 19:00:00+00:00,737.0800170898438,737.3900146484375,736.780029296875,736.7999877929688,340647 +2026-07-23 19:05:00+00:00,736.7999877929688,736.9600219726562,736.7000122070312,736.72998046875,257690 +2026-07-23 19:10:00+00:00,736.719970703125,736.875,736.469970703125,736.5999755859375,201871 +2026-07-23 19:15:00+00:00,736.5999755859375,737.1599731445312,736.5900268554688,736.9500122070312,339486 +2026-07-23 19:20:00+00:00,736.969970703125,737.6300048828125,736.9500122070312,737.6199951171875,451009 +2026-07-23 19:25:00+00:00,737.6199951171875,737.9000244140625,737.3200073242188,737.47998046875,493815 +2026-07-23 19:30:00+00:00,737.489990234375,737.739990234375,736.6799926757812,737.1500244140625,580631 +2026-07-23 19:35:00+00:00,737.14501953125,737.219970703125,736.8300170898438,736.8900146484375,702327 +2026-07-23 19:40:00+00:00,736.8699951171875,736.97998046875,736.25,736.25,1754270 +2026-07-23 19:45:00+00:00,736.260009765625,736.4000244140625,735.719970703125,735.9249877929688,988958 +2026-07-23 19:50:00+00:00,735.9299926757812,736.97998046875,735.9299926757812,736.7100219726562,2437408 +2026-07-23 19:55:00+00:00,736.72998046875,738.6400146484375,736.72998046875,738.1699829101562,5113800 +2026-07-24 13:30:00+00:00,738.510009765625,739.5,738.4199829101562,739.277099609375,1467113 +2026-07-24 13:35:00+00:00,739.2899780273438,739.6599731445312,738.8800048828125,739.1099853515625,415105 +2026-07-24 13:40:00+00:00,739.0999755859375,739.1400756835938,738.6599731445312,738.8101196289062,406628 +2026-07-24 13:45:00+00:00,738.8099975585938,739.8800048828125,738.5700073242188,739.8200073242188,482528 +2026-07-24 13:50:00+00:00,739.8099975585938,739.8099975585938,737.6900024414062,737.8400268554688,758616 +2026-07-24 13:55:00+00:00,737.8300170898438,738.2000122070312,737.4299926757812,737.530029296875,480275 +2026-07-24 14:00:00+00:00,738.1099853515625,738.6701049804688,737.6799926757812,737.7440185546875,777067 +2026-07-24 14:05:00+00:00,737.7899780273438,739.489990234375,737.5700073242188,739.2999877929688,489734 +2026-07-24 14:10:00+00:00,739.2650146484375,739.905029296875,738.8250122070312,739.5394897460938,932941 +2026-07-24 14:15:00+00:00,739.5399780273438,739.7100219726562,738.0,738.5349731445312,993924 +2026-07-24 14:20:00+00:00,738.530029296875,739.9500122070312,738.1599731445312,739.5399780273438,401286 +2026-07-24 14:25:00+00:00,739.5599975585938,739.719970703125,738.969970703125,739.1799926757812,390349 +2026-07-24 14:30:00+00:00,739.1900024414062,739.22998046875,738.3300170898438,738.3400268554688,412680 +2026-07-24 14:35:00+00:00,738.3350219726562,738.8200073242188,737.9099731445312,738.0599975585938,331563 +2026-07-24 14:40:00+00:00,738.030029296875,738.3499755859375,737.8400268554688,737.905029296875,667881 +2026-07-24 14:45:00+00:00,737.8900146484375,738.5499877929688,737.4299926757812,738.530029296875,341313 +2026-07-24 14:50:00+00:00,738.5349731445312,739.3200073242188,738.530029296875,739.010009765625,368611 +2026-07-24 14:55:00+00:00,739.010009765625,740.7000122070312,739.010009765625,740.5900268554688,457825 +2026-07-24 15:00:00+00:00,740.5900268554688,740.9600219726562,740.2100219726562,740.239990234375,1066983 +2026-07-24 15:05:00+00:00,740.22998046875,740.6400146484375,739.6599731445312,739.6998901367188,310429 +2026-07-24 15:10:00+00:00,739.6900024414062,742.1699829101562,739.5800170898438,741.8800048828125,772738 +2026-07-24 15:15:00+00:00,741.8599853515625,743.0,741.3400268554688,741.4774780273438,736171 +2026-07-24 15:20:00+00:00,741.4949951171875,742.6500244140625,741.4099731445312,742.3699951171875,453802 +2026-07-24 15:25:00+00:00,742.39501953125,743.1300048828125,742.3300170898438,742.6099853515625,413289 +2026-07-24 15:30:00+00:00,742.5999755859375,742.9000244140625,742.0499877929688,742.0800170898438,242596 +2026-07-24 15:35:00+00:00,742.0449829101562,743.1580200195312,742.030029296875,743.0700073242188,318123 +2026-07-24 15:40:00+00:00,743.0599975585938,743.25,742.0289916992188,742.2899780273438,273038 +2026-07-24 15:45:00+00:00,742.2899780273438,742.6500244140625,742.0,742.1300048828125,215877 +2026-07-24 15:50:00+00:00,742.135009765625,742.7899780273438,742.1300048828125,742.5599975585938,351940 +2026-07-24 15:55:00+00:00,742.5599975585938,743.1099853515625,742.52001953125,743.0150146484375,310650 +2026-07-24 16:00:00+00:00,743.0399780273438,743.239990234375,742.6400146484375,743.2100219726562,667546 +2026-07-24 16:05:00+00:00,743.2000122070312,743.5499877929688,742.9400024414062,743.280029296875,454257 +2026-07-24 16:10:00+00:00,743.2999877929688,743.719970703125,742.8499755859375,742.969970703125,340403 +2026-07-24 16:15:00+00:00,743.0,743.3200073242188,742.8099975585938,743.1347045898438,255553 +2026-07-24 16:20:00+00:00,743.1448974609375,743.5,743.0999755859375,743.3599243164062,200917 +2026-07-24 16:25:00+00:00,743.3599853515625,743.5700073242188,743.1799926757812,743.1900024414062,178237 +2026-07-24 16:30:00+00:00,743.1699829101562,743.1900024414062,742.3599853515625,742.5,390307 +2026-07-24 16:35:00+00:00,742.5150146484375,742.739990234375,742.22998046875,742.27001953125,210497 +2026-07-24 16:40:00+00:00,742.260009765625,742.260009765625,741.6400146484375,741.6500244140625,236074 +2026-07-24 16:45:00+00:00,741.6400146484375,741.8099975585938,740.9500122070312,741.1898803710938,405413 +2026-07-24 16:50:00+00:00,741.1900024414062,741.27001953125,740.739990234375,741.0700073242188,279526 +2026-07-24 16:55:00+00:00,741.0490112304688,741.760009765625,740.8699951171875,741.4500122070312,199361 +2026-07-24 17:00:00+00:00,741.469970703125,741.5999755859375,741.010009765625,741.1749877929688,182715 +2026-07-24 17:05:00+00:00,741.1699829101562,741.3300170898438,740.3800048828125,740.4182739257812,386540 +2026-07-24 17:10:00+00:00,740.4000244140625,741.0599975585938,740.2301025390625,740.9299926757812,255564 +2026-07-24 17:15:00+00:00,740.9500122070312,741.469970703125,740.6599731445312,741.4099731445312,184125 +2026-07-24 17:20:00+00:00,741.41650390625,741.489990234375,740.9072265625,741.2999877929688,327532 +2026-07-24 17:25:00+00:00,741.2899780273438,741.8400268554688,740.989990234375,741.7100219726562,196903 +2026-07-24 17:30:00+00:00,741.75,742.169189453125,741.530029296875,742.11181640625,156146 +2026-07-24 17:35:00+00:00,742.1099853515625,742.1199951171875,741.4299926757812,741.510009765625,162452 +2026-07-24 17:40:00+00:00,741.52001953125,741.5399780273438,741.0700073242188,741.0800170898438,184684 +2026-07-24 17:45:00+00:00,741.0700073242188,741.3900146484375,740.9199829101562,741.3099975585938,162181 +2026-07-24 17:50:00+00:00,741.3099975585938,741.5349731445312,740.969970703125,741.27001953125,270661 +2026-07-24 17:55:00+00:00,741.2899780273438,741.3900146484375,740.969970703125,740.97998046875,244499 +2026-07-24 18:00:00+00:00,740.989990234375,741.2899780273438,740.77001953125,740.8900146484375,188906 +2026-07-24 18:05:00+00:00,740.8800048828125,741.27001953125,740.75,740.969970703125,338674 +2026-07-24 18:10:00+00:00,741.02001953125,741.0750122070312,740.47998046875,740.5900268554688,257613 +2026-07-24 18:15:00+00:00,740.594970703125,740.6500244140625,740.1400146484375,740.22998046875,387838 +2026-07-24 18:20:00+00:00,740.1900024414062,740.2000122070312,739.719970703125,739.8099975585938,433579 +2026-07-24 18:25:00+00:00,739.7999877929688,739.8800048828125,739.0,739.0349731445312,473174 +2026-07-24 18:30:00+00:00,739.0499877929688,739.1599731445312,738.0700073242188,738.173828125,593684 +2026-07-24 18:35:00+00:00,738.1900024414062,738.6300048828125,737.8300170898438,738.27001953125,879485 +2026-07-24 18:40:00+00:00,738.27001953125,738.27001953125,737.6400146484375,737.8499755859375,439073 +2026-07-24 18:45:00+00:00,737.8699951171875,738.7000122070312,737.7899780273438,738.3099975585938,392359 +2026-07-24 18:50:00+00:00,738.2899780273438,738.5,738.030029296875,738.2050170898438,417134 +2026-07-24 18:55:00+00:00,738.1900024414062,738.7100219726562,738.1400146484375,738.3800048828125,302475 +2026-07-24 19:00:00+00:00,738.3900146484375,738.89501953125,738.2100219726562,738.280029296875,895698 +2026-07-24 19:05:00+00:00,738.25,738.6500244140625,737.5599975585938,737.60498046875,779209 +2026-07-24 19:10:00+00:00,737.6099853515625,738.22998046875,737.469970703125,737.5999755859375,705769 +2026-07-24 19:15:00+00:00,737.5999755859375,737.8300170898438,737.4099731445312,737.7999877929688,1036183 +2026-07-24 19:20:00+00:00,737.8200073242188,738.02001953125,737.2899780273438,737.4299926757812,521023 +2026-07-24 19:25:00+00:00,737.4400024414062,737.8699951171875,737.2999877929688,737.6500244140625,459031 +2026-07-24 19:30:00+00:00,737.719970703125,738.3800048828125,737.6599731445312,738.0900268554688,822160 +2026-07-24 19:35:00+00:00,738.0800170898438,738.6599731445312,737.989990234375,738.1099853515625,1074359 +2026-07-24 19:40:00+00:00,738.1099853515625,738.3400268554688,737.7899780273438,738.280029296875,800742 +2026-07-24 19:45:00+00:00,738.2999877929688,738.4400024414062,737.75,738.3399047851562,1069183 +2026-07-24 19:50:00+00:00,738.3400268554688,738.5800170898438,737.6400146484375,738.469970703125,1055109 +2026-07-24 19:55:00+00:00,738.489990234375,739.0999755859375,738.0499877929688,738.8599853515625,3826336 +2026-07-24 20:00:00+00:00,738.9299926757812,738.9299926757812,738.9299926757812,738.9299926757812,0 diff --git a/docker-compose.webapp.proxy.yml b/docker-compose.webapp.proxy.yml new file mode 100644 index 0000000..292882e --- /dev/null +++ b/docker-compose.webapp.proxy.yml @@ -0,0 +1,16 @@ +services: + adaptive-barrier-webapp: + build: + context: . + dockerfile: webapp/Dockerfile + container_name: adaptive-barrier-webapp + restart: unless-stopped + expose: + - "8055" + networks: + - proxy + +networks: + proxy: + external: true + name: caddy diff --git a/docker-compose.webapp.yml b/docker-compose.webapp.yml new file mode 100644 index 0000000..3ad3326 --- /dev/null +++ b/docker-compose.webapp.yml @@ -0,0 +1,9 @@ +services: + adaptive-barrier-webapp: + build: + context: . + dockerfile: webapp/Dockerfile + container_name: adaptive-barrier-webapp + restart: unless-stopped + ports: + - "127.0.0.1:8055:8055" diff --git a/notebooks/01_random_walks_to_brownian_motion.ipynb b/notebooks/01_random_walks_to_brownian_motion.ipynb new file mode 100644 index 0000000..9456f89 --- /dev/null +++ b/notebooks/01_random_walks_to_brownian_motion.ipynb @@ -0,0 +1,928 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2db18f8c", + "metadata": {}, + "source": [ + "# Notebook 01 — From Random Walks to Brownian Motion\n", + "\n", + "### The question\n", + "\n", + "> *A stock price follows a random walk. You want an algorithm that alerts you\n", + "> if the stock drops by 10% in a 5-minute window. Checking every millisecond is\n", + "> too expensive. How do you **mathematically model** the probability of such a\n", + "> drop, and how does that model change your **sampling rate**?*\n", + "\n", + "This first notebook builds the foundations: what we *mean* by \"a stock price\n", + "follows a random walk\", and how that discrete object converges to **Brownian\n", + "motion** — the continuous process all of the later probability statements are\n", + "built on.\n", + "\n", + "### Roadmap of the series\n", + "\n", + "| # | Topic | Key result |\n", + "|---|-------|-----------|\n", + "| **01** | Random walks → Brownian motion | $W_t$, covariance kernel, the $\\sqrt{T}$ law |\n", + "| 02 | Geometric Brownian motion & Itô's lemma | the log-price is arithmetic BM |\n", + "| 03 | First-passage times & reflection principle | $P(\\tau \\le T)$ of touching a $-10\\%$ barrier |\n", + "| 04 | Brownian bridges & the miss probability | $P(\\text{dip hidden between samples})$ |\n", + "| 05 | the adaptive barrier monitor | state-dependent sampling rate |\n", + "\n", + "Two conventions: callouts marked **Mathematician's note** go deeper on rigour;\n", + "those marked **Quant's note** explain market practice." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "542b3a76", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:13.604205Z", + "iopub.status.busy": "2026-07-29T23:43:13.603496Z", + "iopub.status.idle": "2026-07-29T23:43:15.255611Z", + "shell.execute_reply": "2026-07-29T23:43:15.254951Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# =====================================================================\n", + "# Helper functions -- self-contained small library,\n", + "# included verbatim at the top of every notebook so each one runs standalone.\n", + "# (This cell is identical across the series.)\n", + "# =====================================================================\n", + "import types\n", + "from scipy.stats import norm\n", + "import matplotlib as mpl\n", + "\n", + "# --- config: trading-time & volatility conventions (annualised sigma) ---\n", + "TRADING_DAYS_PER_YEAR = 252\n", + "TRADING_HOURS_PER_DAY = 6.5\n", + "TRADING_MINUTES_PER_HOUR = 60\n", + "TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR # 390\n", + "TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY # 98280\n", + "DROP_FRACTION = 0.10 # a 10% drop\n", + "WINDOW_MINUTES = 5 # over a 5-minute window\n", + "WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR # ~5.09e-5\n", + "LOG_BARRIER = float(np.log(1.0 - DROP_FRACTION)) # ln(0.9) ~ -0.10536\n", + "TYPICAL_ANNUAL_VOL = 0.30 # representative liquid large-cap volatility\n", + "\n", + "def minutes_to_years(minutes):\n", + " return minutes / TRADING_MINUTES_PER_YEAR\n", + "\n", + "def horizon_vol(sigma_annual, minutes):\n", + " \"\"\"sigma over `minutes` of trading time via Brownian scaling sigma*sqrt(T).\"\"\"\n", + " return sigma_annual * np.sqrt(minutes_to_years(minutes))\n", + "\n", + "def trading_minutes_to_seconds(minutes):\n", + " return minutes * 60.0\n", + "\n", + "# --- processes: samplers; each returns (t, X) with X of shape (n_paths, n_steps+1) ---\n", + "def _as_rng(rng):\n", + " return np.random.default_rng() if rng is None else rng\n", + "\n", + "def time_grid(T, n_steps):\n", + " return np.linspace(0.0, T, n_steps + 1)\n", + "\n", + "def brownian_motion(T, n_steps, n_paths=1, drift=0.0, sigma=1.0, rng=None):\n", + " \"\"\"Arithmetic BM, dX = drift*dt + sigma*dW, via independent Gaussian increments.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " dt = T / n_steps\n", + " dW = rng.normal(loc=drift * dt, scale=sigma * np.sqrt(dt), size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = np.cumsum(dW, axis=1)\n", + " return t, X\n", + "\n", + "def brownian_motion_cholesky(T, n_steps, n_paths=1, rng=None):\n", + " \"\"\"Standard BM via the min(s,t) covariance (Gram) matrix and its Cholesky factor L (x = L z).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " t_inner = t[1:]\n", + " K = np.minimum(t_inner[:, None], t_inner[None, :]) # min(s,t) Gram matrix\n", + " L = np.linalg.cholesky(K)\n", + " z = rng.standard_normal(size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = z @ L.T\n", + " return t, X\n", + "\n", + "def geometric_brownian_motion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=1.0, rng=None):\n", + " \"\"\"GBM, dS = mu*S*dt + sigma*S*dW, via the exact log-space solution (no Euler error).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=mu - 0.5 * sigma**2, sigma=sigma, rng=rng)\n", + " return t, S0 * np.exp(X)\n", + "\n", + "def brownian_bridge(T, n_steps, n_paths=1, start=0.0, end=0.0, sigma=1.0, rng=None):\n", + " \"\"\"BM conditioned on B(0)=start, B(T)=end.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, W = brownian_motion(T, n_steps, n_paths, drift=0.0, sigma=sigma, rng=rng)\n", + " linear = start + (end - start) * (t / T)\n", + " bridge = W - np.outer(W[:, -1], t / T) + linear[None, :]\n", + " return t, bridge\n", + "\n", + "def merton_jump_diffusion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=0.2,\n", + " jump_intensity=0.0, jump_mean=-0.10, jump_sigma=0.15, rng=None):\n", + " \"\"\"Merton jump-diffusion; jump_intensity=0 reduces exactly to GBM.\"\"\"\n", + " rng = _as_rng(rng)\n", + " dt = T / n_steps\n", + " k = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 # E[J-1]\n", + " nu = mu - 0.5 * sigma**2 - jump_intensity * k # compensated drift\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " counts = rng.poisson(jump_intensity * dt, size=(n_paths, n_steps))\n", + " jump_log = np.zeros((n_paths, n_steps))\n", + " K = int(counts.max()) if counts.size else 0\n", + " if K > 0:\n", + " logJ = rng.normal(jump_mean, jump_sigma, size=(n_paths, n_steps, K))\n", + " mask = np.arange(K) < counts[:, :, None]\n", + " jump_log = (logJ * mask).sum(axis=2)\n", + " jump_path = np.zeros((n_paths, n_steps + 1))\n", + " jump_path[:, 1:] = np.cumsum(jump_log, axis=1)\n", + " return t, S0 * np.exp(X + jump_path)\n", + "\n", + "# --- barriers: first-passage CDFs & the Brownian-bridge miss formula (log-price BM, B<0) ---\n", + "def first_passage_cdf_zero_drift(B, T, sigma):\n", + " \"\"\"P(tau_B<=T) for zero-drift BM, via the reflection principle: 2*Phi(B/(sigma*sqrt(T))).\"\"\"\n", + " return 2.0 * norm.cdf(B / (sigma * np.sqrt(T)))\n", + "\n", + "def first_passage_cdf(B, T, nu, sigma):\n", + " \"\"\"P(tau_B<=T) for BM with drift nu (Bachelier-Levy).\"\"\"\n", + " sT = sigma * np.sqrt(T)\n", + " return norm.cdf((B - nu * T) / sT) + np.exp(2.0 * nu * B / sigma**2) * norm.cdf((B + nu * T) / sT)\n", + "\n", + "def barrier_miss_prob(x0, xT, B, sigma, dt):\n", + " \"\"\"P(BM crossed B inside (0,dt) | both endpoints above B): exp(-2(x0-B)(xT-B)/(sigma^2 dt)).\"\"\"\n", + " if x0 <= B or xT <= B:\n", + " return 1.0\n", + " return float(np.exp(-2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt)))\n", + "\n", + "def max_safe_dt(D, sigma, epsilon):\n", + " \"\"\"Largest sampling interval keeping P(miss)<=epsilon: dt = 2*D^2/(sigma^2 * ln(1/epsilon)).\"\"\"\n", + " if not (0.0 < epsilon < 1.0):\n", + " raise ValueError(\"epsilon must lie in (0, 1)\")\n", + " return 2.0 * D**2 / (sigma**2 * np.log(1.0 / epsilon))\n", + "\n", + "def estimate_first_passage_prob(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Naive MC of P(tau_B<=T) via discrete grid checks (O(sqrt(dt)) downward bias).\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(X <= B, axis=1)))\n", + "\n", + "def estimate_first_passage_prob_bb(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Bias-free MC of P(tau_B<=T) using the Brownian-bridge crossing probability per step.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " dt = T / n_steps\n", + " x0, x1 = X[:, :-1], X[:, 1:]\n", + " both_above = (x0 > B) & (x1 > B)\n", + " p_cross = np.where(both_above, np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), 1.0)\n", + " u = rng.uniform(size=p_cross.shape)\n", + " return float(np.mean(np.any(u < p_cross, axis=1)))\n", + "\n", + "def estimate_bridge_breach_prob(x0, xT, B, sigma, dt, n_paths, n_inner, rng=None):\n", + " \"\"\"MC check of barrier_miss_prob by simulating bridges pinned at x0, xT.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, bridge = brownian_bridge(dt, n_inner, n_paths, start=x0, end=xT, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(bridge <= B, axis=1)))\n", + "\n", + "# --- plotting helpers ---\n", + "def style():\n", + " \"\"\"Apply the project's matplotlib style (serif maths, clean spines).\"\"\"\n", + " mpl.rcParams.update({\n", + " \"figure.figsize\": (8.0, 4.5), \"figure.dpi\": 110, \"savefig.dpi\": 140,\n", + " \"axes.grid\": True, \"grid.alpha\": 0.3,\n", + " \"axes.spines.top\": False, \"axes.spines.right\": False,\n", + " \"font.size\": 11, \"mathtext.fontset\": \"cm\",\n", + " \"axes.titlesize\": 12, \"axes.labelsize\": 11, \"legend.frameon\": False,\n", + " })\n", + "\n", + "def plot_paths(t, X, ax=None, alpha=0.5, lw=0.8, color=\"C0\", label=None, **kwargs):\n", + " \"\"\"Plot each row of X (shape (n_paths, len(t))) against t.\"\"\"\n", + " if ax is None:\n", + " _, ax = plt.subplots()\n", + " X = np.atleast_2d(X)\n", + " for i, row in enumerate(X):\n", + " ax.plot(t, row, color=color, alpha=alpha, lw=lw, label=label if i == 0 else None, **kwargs)\n", + " ax.set_xlabel(\"time\")\n", + " return ax\n", + "\n", + "def hline(ax, y, color=\"crimson\", label=None, ls=\"--\", lw=1.4):\n", + " \"\"\"Draw a horizontal barrier line.\"\"\"\n", + " ax.axhline(y, color=color, ls=ls, lw=lw, label=label)\n", + " return ax\n", + "\n", + "# --- module namespaces (so existing call sites like processes.X / config.Y keep working) ---\n", + "config = types.SimpleNamespace(\n", + " TRADING_DAYS_PER_YEAR=TRADING_DAYS_PER_YEAR, TRADING_HOURS_PER_DAY=TRADING_HOURS_PER_DAY,\n", + " TRADING_MINUTES_PER_HOUR=TRADING_MINUTES_PER_HOUR, TRADING_MINUTES_PER_DAY=TRADING_MINUTES_PER_DAY,\n", + " TRADING_MINUTES_PER_YEAR=TRADING_MINUTES_PER_YEAR, DROP_FRACTION=DROP_FRACTION,\n", + " WINDOW_MINUTES=WINDOW_MINUTES, WINDOW_YEARS=WINDOW_YEARS, LOG_BARRIER=LOG_BARRIER,\n", + " TYPICAL_ANNUAL_VOL=TYPICAL_ANNUAL_VOL, minutes_to_years=minutes_to_years,\n", + " horizon_vol=horizon_vol, trading_minutes_to_seconds=trading_minutes_to_seconds,\n", + ")\n", + "processes = types.SimpleNamespace(\n", + " brownian_motion=brownian_motion, brownian_motion_cholesky=brownian_motion_cholesky,\n", + " geometric_brownian_motion=geometric_brownian_motion, brownian_bridge=brownian_bridge,\n", + " merton_jump_diffusion=merton_jump_diffusion,\n", + ")\n", + "barriers = types.SimpleNamespace(\n", + " first_passage_cdf_zero_drift=first_passage_cdf_zero_drift, first_passage_cdf=first_passage_cdf,\n", + " barrier_miss_prob=barrier_miss_prob, max_safe_dt=max_safe_dt,\n", + " estimate_first_passage_prob=estimate_first_passage_prob,\n", + " estimate_first_passage_prob_bb=estimate_first_passage_prob_bb,\n", + " estimate_bridge_breach_prob=estimate_bridge_breach_prob,\n", + ")\n", + "plotting = types.SimpleNamespace(style=style, plot_paths=plot_paths, hline=hline)\n", + "\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _repo_root():\n", + " \"\"\"Find the repository root without requiring the cache to exist already.\"\"\"\n", + " p = Path.cwd()\n", + " for cand in [p, *p.parents]:\n", + " if (cand / \"pyproject.toml\").is_file() or (\n", + " (cand / \"notebooks\").is_dir() and (cand / \"src\").is_dir()\n", + " ):\n", + " return cand\n", + " return p\n", + "\n", + "_CACHE_DIR = _repo_root() / \"data\" / \"cache\"\n", + "_CHART_URL = \"https://query1.finance.yahoo.com/v8/finance/chart/{ticker}\"\n", + "\n", + "def cache_path(ticker, interval, range_):\n", + " _CACHE_DIR.mkdir(parents=True, exist_ok=True)\n", + " return _CACHE_DIR / f\"{ticker}_{interval}_{range_}.csv\"\n", + "\n", + "def fetch_intraday(ticker=\"SPY\", interval=\"5m\", range_=\"5d\", use_cache=True):\n", + " \"\"\"Intraday OHLCV as a tidy DataFrame (UTC index); cached under data/cache/.\"\"\"\n", + " path = cache_path(ticker, interval, range_)\n", + " if use_cache and path.exists():\n", + " df = pd.read_csv(path, index_col=0, parse_dates=True)\n", + " if df.index.tz is None:\n", + " df.index = df.index.tz_localize(\"UTC\")\n", + " return df\n", + " import requests\n", + " resp = requests.get(\n", + " _CHART_URL.format(ticker=ticker),\n", + " params={\"interval\": interval, \"range\": range_, \"includePrePost\": \"false\"},\n", + " headers={\"User-Agent\": \"Mozilla/5.0\"}, timeout=30,\n", + " )\n", + " resp.raise_for_status()\n", + " result = resp.json()[\"chart\"][\"result\"][0]\n", + " timestamps = pd.to_datetime(result[\"timestamp\"], unit=\"s\", utc=True)\n", + " quote = result[\"indicators\"][\"quote\"][0]\n", + " df = pd.DataFrame(\n", + " {\"open\": quote[\"open\"], \"high\": quote[\"high\"], \"low\": quote[\"low\"],\n", + " \"close\": quote[\"close\"], \"volume\": quote[\"volume\"]},\n", + " index=timestamps,\n", + " )\n", + " df.index.name = \"timestamp\"\n", + " df = df.dropna(subset=[\"close\"])\n", + " if use_cache:\n", + " df.to_csv(path)\n", + " return df\n", + "\n", + "def log_returns(prices):\n", + " \"\"\"Log-returns ln(p_t / p_{t-1}).\"\"\"\n", + " return pd.Series(np.log(prices).diff().dropna(), name=\"log_return\")\n", + "\n", + "data = types.SimpleNamespace(fetch_intraday=fetch_intraday, log_returns=log_returns, cache_path=cache_path)\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _img_subdir(sub):\n", + " \"\"\"Resolve /images/, creating it; cwd-independent.\"\"\"\n", + " root = Path.cwd()\n", + " for cand in (root, *root.parents):\n", + " if (cand / \"notebooks\").is_dir():\n", + " root = cand\n", + " break\n", + " d = root / \"images\" / sub\n", + " d.mkdir(parents=True, exist_ok=True)\n", + " return d\n", + "\n", + "_FIG = _img_subdir(\"01_random_walks\")\n", + "\n", + "plotting.style()\n", + "RNG = np.random.default_rng(1)\n" + ] + }, + { + "cell_type": "markdown", + "id": "401bbbdd", + "metadata": {}, + "source": [ + "## 1. Returns, and why we work in log-space\n", + "\n", + "A stock price $S_t > 0$ is observed at times $0, \\Delta t, 2\\Delta t, \\dots$.\n", + "The natural object is not the price itself but its **return**. There are two\n", + "flavours:\n", + "\n", + "* **arithmetic (simple) return:** $\\quad R_n = \\dfrac{S_{n}}{S_{n-1}} - 1$\n", + "* **log-return:** $\\quad X_n = \\log S_{n} - \\log S_{n-1} = \\log\\!\\left(1 + R_n\\right)$\n", + "\n", + "For small moves $X_n \\approx R_n$, but log-returns **add** over consecutive\n", + "periods while simple returns compound:\n", + "\n", + "$$X_{0\\to N} = \\sum_{n=1}^{N} X_n = \\log S_N - \\log S_0.$$\n", + "\n", + "Additivity is exactly what makes log-returns a sum of independent increments —\n", + "i.e. a **random walk** — which is the object the central limit theorem acts on.\n", + "This is why quants model the **log-price** $X_t = \\log S_t$, not the price." + ] + }, + { + "cell_type": "markdown", + "id": "f11c019c", + "metadata": {}, + "source": [ + "## 2. A discrete random walk for the log-price\n", + "\n", + "Assume the one-step log-returns $X_n$ are i.i.d. with mean $\\nu\\,\\Delta t$ and\n", + "variance $\\sigma^2 \\Delta t$. Then the log-price after $N$ steps is\n", + "\n", + "$$X_{N} \\;=\\; X_0 + \\sum_{n=1}^{N} X_n.$$\n", + "\n", + "That sum *is* a random walk. To build intuition, let each $X_n$ be the simplest\n", + "non-trivial step: $\\pm\\sqrt{\\Delta t}$ with equal probability (a scaled\n", + "symmetric Bernoulli). This is the prototype that converges to Brownian motion." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "92ffc7c0", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:15.258416Z", + "iopub.status.busy": "2026-07-29T23:43:15.257947Z", + "iopub.status.idle": "2026-07-29T23:43:16.239133Z", + "shell.execute_reply": "2026-07-29T23:43:16.238450Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# A scaled symmetric random walk for the log-price.\n", + "delta_t = 1.0 / 252 / 78 # one 5-minute bar, in years (78 bars/day)\n", + "N = 78 * 21 # ~ one trading month of 5-minute bars\n", + "steps = RNG.choice([-1.0, 1.0], size=(8, N)) * np.sqrt(delta_t)\n", + "t = np.linspace(0, N * delta_t, N + 1)\n", + "X = np.concatenate([np.zeros((8, 1)), np.cumsum(steps, axis=1)], axis=1)\n", + "\n", + "fig, (axL, axR) = plt.subplots(1, 2, figsize=(11, 4))\n", + "plotting.plot_paths(t, X, ax=axL, alpha=0.7)\n", + "axL.set_title(\"log-price random walk $X_t$\")\n", + "axL.set_xlabel(\"time (years)\")\n", + "S = 100 * np.exp(X)\n", + "plotting.plot_paths(t, S, ax=axR, alpha=0.7)\n", + "axR.set_title(r\"price $S_t = 100\\,e^{X_t}$ (always positive)\")\n", + "axR.set_xlabel(\"time (years)\")\n", + "plt.tight_layout(); plt.savefig(_FIG / \"scaled_random_walk.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "72677e76", + "metadata": {}, + "source": [ + "## 3. The scaling limit: Brownian motion\n", + "\n", + "Rescale the walk by looking at $W^{(n)}_t = \\frac{1}{\\sqrt{n}}\\sum_{k=1}^{\\lfloor nt\\rfloor}\\xi_k$\n", + "with i.i.d. centred $\\xi_k$ of unit variance. **Donsker's theorem** (a\n", + "functional CLT) says $W^{(n)} \\Rightarrow W$ as $n\\to\\infty$, where $W$ is a\n", + "**standard Brownian motion** (Wiener process), characterised by:\n", + "\n", + "1. $W_0 = 0$ almost surely;\n", + "2. **independent increments:** $W_t - W_s \\sim \\mathcal N(0,\\,t-s)$ for $0\\le s **Mathematician's note.** Brownian motion is the *canonical* continuous\n", + "> Gaussian process. Almost every path is continuous but **nowhere\n", + "> differentiable**, and has quadratic variation $[W]_t = t$ — a fact we will\n", + "> need in Notebook 02 to derive Itô's lemma." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c2972a39", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:16.241564Z", + "iopub.status.busy": "2026-07-29T23:43:16.241343Z", + "iopub.status.idle": "2026-07-29T23:43:17.212212Z", + "shell.execute_reply": "2026-07-29T23:43:17.211607Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualise the CLT: terminal distribution of a fine scaled random walk\n", + "# approaches N(0, T). Here T = 1 (year), n steps per unit time.\n", + "T, n = 1.0, 1000\n", + "n_paths = 20_000\n", + "steps = RNG.choice([-1.0, 1.0], size=(n_paths, n)) / np.sqrt(n)\n", + "W_T = steps.sum(axis=1)\n", + "\n", + "from scipy.stats import norm\n", + "grid = np.linspace(-4, 4, 400)\n", + "plt.figure(figsize=(7, 4))\n", + "plt.hist(W_T, bins=80, density=True, alpha=0.5, label=\"scaled random walk, $W_T^{(n)}$\")\n", + "plt.plot(grid, norm.pdf(grid), \"k-\", lw=2, label=r\"$N(0,T)$ density\")\n", + "plt.title(\"Donsker/CLT: the walk's endpoint converges to $W_T \\\\sim N(0,T)$\")\n", + "plt.xlabel(\"$W_T$\"); plt.legend(); plt.savefig(_FIG / \"clt_terminal_dist.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "81a8120a", + "metadata": {}, + "source": [ + "## 4. Brownian motion as a Gaussian process: the linear-algebra view\n", + "\n", + "Here is the viewpoint that should feel like home. A Brownian motion is a\n", + "**Gaussian process** — every finite vector of samples\n", + "$X = (W_{t_1}, \\dots, W_{t_m})^\\top$ is jointly Gaussian — with **mean zero**\n", + "and **covariance kernel**\n", + "\n", + "$$K(s, t) \\;=\\; \\operatorname{Cov}(W_s, W_t) \\;=\\; \\min(s, t).$$\n", + "\n", + "Discretising times $t_1 < \\dots < t_m$ turns the kernel into a symmetric\n", + "**positive-definite Gram matrix** $K_{ij} = \\min(t_i, t_j)$.\n", + "\n", + "### Sampling a Gaussian vector with a prescribed covariance\n", + "\n", + "If $K = L L^\\top$ is the **Cholesky factorisation** and\n", + "$z \\sim \\mathcal N(0, I_m)$, then\n", + "\n", + "$$x = L\\,z \\;\\;\\sim\\;\\; \\mathcal N(0,\\,K),$$\n", + "\n", + "because $\\operatorname{Cov}(Lz) = L\\,\\operatorname{Cov}(z)\\,L^\\top = L L^\\top = K$.\n", + "So sampling a Brownian path is *literally* the Cholesky recipe." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "28be7444", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:17.214591Z", + "iopub.status.busy": "2026-07-29T23:43:17.214032Z", + "iopub.status.idle": "2026-07-29T23:43:17.221448Z", + "shell.execute_reply": "2026-07-29T23:43:17.220563Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "times t = [0. 0.167 0.333 0.5 0.667 0.833 1. ]\n", + "\n", + "Gram matrix K = min(s,t):\n", + " [[0. 0. 0. 0. 0. 0. 0. ]\n", + " [0. 0.167 0.167 0.167 0.167 0.167 0.167]\n", + " [0. 0.167 0.333 0.333 0.333 0.333 0.333]\n", + " [0. 0.167 0.333 0.5 0.5 0.5 0.5 ]\n", + " [0. 0.167 0.333 0.5 0.667 0.667 0.667]\n", + " [0. 0.167 0.333 0.5 0.667 0.833 0.833]\n", + " [0. 0.167 0.333 0.5 0.667 0.833 1. ]]\n", + "\n", + "smallest eigenvalue of K: 0.0 -> singular, not positive-definite.\n", + "Why? The t=0 row/column is all zeros because W_0 = 0 is deterministic.\n", + "rank(K) = 6 of 7\n" + ] + } + ], + "source": [ + "# Build the covariance Gram matrix K_{ij} = min(t_i, t_j).\n", + "T, m = 1.0, 6\n", + "t = np.linspace(0, T, m + 1)\n", + "K = np.minimum(t[:, None], t[None, :])\n", + "print(\"times t =\", np.round(t, 3))\n", + "print(\"\\nGram matrix K = min(s,t):\\n\", np.round(K, 3))\n", + "\n", + "# A subtlety every mathematician notices: this K is only positive *semi*definite.\n", + "print(\"\\nsmallest eigenvalue of K:\", round(float(np.linalg.eigvalsh(K).min()), 6),\n", + " \" -> singular, not positive-definite.\")\n", + "print(\"Why? The t=0 row/column is all zeros because W_0 = 0 is deterministic.\")\n", + "print(\"rank(K) =\", int(np.linalg.matrix_rank(K)), \"of\", K.shape[0])" + ] + }, + { + "cell_type": "markdown", + "id": "4c9415cc", + "metadata": {}, + "source": [ + "### Removing the degeneracy\n", + "\n", + "Because $W_0 = 0$ is deterministic, the full Gram matrix $K$ has a zero row and\n", + "column and is only **positive semi-definite** — Cholesky refuses it. The fix is\n", + "exactly what linear algebra suggests: work in the non-degenerate subspace.\n", + "Drop the $t_0 = 0$ point, Cholesky-factor the interior block\n", + "$K_{ij} = \\min(t_i, t_j)$ for $i, j \\ge 1$, sample the interior, and prepend the\n", + "zero. This is what `processes.brownian_motion_cholesky` does." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "6c0f4a80", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:17.224726Z", + "iopub.status.busy": "2026-07-29T23:43:17.224148Z", + "iopub.status.idle": "2026-07-29T23:43:17.229149Z", + "shell.execute_reply": "2026-07-29T23:43:17.228485Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "one sample path W: [ 0. 0.2301 0.173 -0.2512 -0.2921 -0.8803 -0.8443]\n", + "\n", + "check ||L L^T - K_inner|| = 1.1102230246251565e-16\n" + ] + } + ], + "source": [ + "# Factor the interior block and reconstruct a sample, by hand.\n", + "K_inner = K[1:, 1:]\n", + "L_inner = np.linalg.cholesky(K_inner)\n", + "z = RNG.standard_normal(size=m)\n", + "W_inner = L_inner @ z\n", + "W = np.concatenate([[0.0], W_inner]) # prepend W_0 = 0\n", + "\n", + "print(\"one sample path W:\", np.round(W, 4))\n", + "print(\"\\ncheck ||L L^T - K_inner|| =\", float(np.max(np.abs(L_inner @ L_inner.T - K_inner))))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e6159be1", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:17.231702Z", + "iopub.status.busy": "2026-07-29T23:43:17.231391Z", + "iopub.status.idle": "2026-07-29T23:43:17.592060Z", + "shell.execute_reply": "2026-07-29T23:43:17.591036Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "max |Cov_chol - K| = 0.0091\n", + "max |Cov_inc - K| = 0.008\n", + "Var(W_T) [Cholesky] = 0.9909 (truth T = 1.0 )\n", + "Var(W_T) [increments]= 0.9919\n" + ] + } + ], + "source": [ + "# Sample Brownian paths BOTH ways and confirm they share the same joint law.\n", + "T, n_steps, n_paths = 1.0, 200, 30_000\n", + "t, X_chol = processes.brownian_motion_cholesky(T, n_steps, n_paths, rng=RNG)\n", + "t, X_inc = processes.brownian_motion(T, n_steps, n_paths, rng=RNG)\n", + "\n", + "# Estimated covariance vs the kernel min(s,t), at a few time points.\n", + "idx = [50, 100, 200]\n", + "truth = np.minimum(t[idx, None], t[None, idx])\n", + "cov_chol = np.cov(X_chol[:, idx].T)\n", + "cov_inc = np.cov(X_inc[:, idx].T)\n", + "\n", + "print(\"max |Cov_chol - K| =\", round(float(np.max(np.abs(cov_chol - truth))), 4))\n", + "print(\"max |Cov_inc - K| =\", round(float(np.max(np.abs(cov_inc - truth))), 4))\n", + "print(\"Var(W_T) [Cholesky] =\", round(float(X_chol[:, -1].var()), 4), \" (truth T =\", T, \")\")\n", + "print(\"Var(W_T) [increments]=\", round(float(X_inc[:, -1].var()), 4))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "31ced021", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:17.595388Z", + "iopub.status.busy": "2026-07-29T23:43:17.594959Z", + "iopub.status.idle": "2026-07-29T23:43:18.065148Z", + "shell.execute_reply": "2026-07-29T23:43:18.064377Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot a few paths from each sampler -- visually indistinguishable.\n", + "fig, ax = plt.subplots(figsize=(8, 4.2))\n", + "_, P1 = processes.brownian_motion_cholesky(T, n_steps, 20, rng=RNG)\n", + "_, P2 = processes.brownian_motion(T, n_steps, 20, rng=RNG)\n", + "plotting.plot_paths(t, P1, ax=ax, alpha=0.6, color=\"C0\", label=\"Cholesky $x = Lz$\")\n", + "plotting.plot_paths(t, P2, ax=ax, alpha=0.6, color=\"C3\", label=\"increments $\\\\sum \\\\!\\\\sqrt{\\\\Delta t}\\\\,\\\\xi$\")\n", + "ax.set_title(\"Two samplers, one process: standard Brownian motion\")\n", + "ax.set_xlabel(\"time $t$\"); ax.legend(loc=\"upper left\"); plt.savefig(_FIG / \"samplers_comparison.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7dd55ff0", + "metadata": {}, + "source": [ + "### The $O(n)$ shortcut\n", + "\n", + "Cholesky is $O(n^3)$, which is painful for long paths. Brownian motion has a\n", + "remarkable property that makes sampling $O(n)$: its **increments**\n", + "$W_{t_{i+1}} - W_{t_i}$ over disjoint intervals are **independent** Gaussians\n", + "of variance $\\Delta t$. So we may simply cumsum i.i.d.\n", + "$\\mathcal N(0, \\Delta t)$ increments:\n", + "\n", + "$$W_{t_k} \\;=\\; \\sum_{i=0}^{k-1} \\sqrt{\\Delta t}\\, z_i, \\qquad z_i \\stackrel{iid}{\\sim} \\mathcal N(0,1).$$\n", + "\n", + "This is what `processes.brownian_motion` does, and we just verified it has\n", + "the *same* joint law as the Cholesky sampler. Use Cholesky to **understand**,\n", + "use increments to **compute**." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "58b515a5", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:18.068558Z", + "iopub.status.busy": "2026-07-29T23:43:18.068137Z", + "iopub.status.idle": "2026-07-29T23:43:20.202766Z", + "shell.execute_reply": "2026-07-29T23:43:20.201927Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sampling 200 paths of length 4000:\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Cholesky O(n^3): 2.099 s\n", + " Increments O(n): 0.030 s (speedup x70)\n" + ] + } + ], + "source": [ + "import time\n", + "n_big = 4_000\n", + "print(f\"Sampling 200 paths of length {n_big}:\")\n", + "t0 = time.time(); processes.brownian_motion_cholesky(T, n_big, 200, rng=RNG); t_chol = time.time()-t0\n", + "t0 = time.time(); processes.brownian_motion(T, n_big, 200, rng=RNG); t_inc = time.time()-t0\n", + "print(f\" Cholesky O(n^3): {t_chol:6.3f} s\")\n", + "print(f\" Increments O(n): {t_inc:6.3f} s (speedup x{t_chol/t_inc:,.0f})\")" + ] + }, + { + "cell_type": "markdown", + "id": "1937ac02", + "metadata": {}, + "source": [ + "## 5. The $\\sqrt{T}$ scaling law and finance conventions\n", + "\n", + "Volatility $\\sigma$ is quoted **annualised**: it is the standard deviation of\n", + "the log-return over one year. Brownian scaling then fixes every other horizon:\n", + "\n", + "$$\\operatorname{Std}\\!\\big[X_T\\big] \\;=\\; \\sigma\\sqrt{T}, \\qquad T \\text{ in years.}$$\n", + "\n", + "**What is \"a year\"?** Markets close overnight and at weekends, so quants use\n", + "**trading time**: a US trading year has $252$ days, each $6.5$ hours ($390$\n", + "minutes), giving $98{,}280$ trading minutes. A 5-minute bar is therefore\n", + "\n", + "$$T_{5\\text{min}} \\;=\\; \\frac{5}{98{,}280} \\;\\approx\\; 5.1\\times10^{-5} \\text{ years.}$$\n", + "\n", + "This is encoded in `config` so every notebook agrees on the convention." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "24fdbb28", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:20.205453Z", + "iopub.status.busy": "2026-07-29T23:43:20.205102Z", + "iopub.status.idle": "2026-07-29T23:43:20.211794Z", + "shell.execute_reply": "2026-07-29T23:43:20.211051Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "trading minutes per day : 390.0\n", + "trading minutes per year : 98280.0\n", + "5-minute window (years) : 5.088e-05\n", + "log-barrier ln(0.9) : -0.10536\n", + "\n", + "annual vol 10%: 5-min std = 0.00071 (0.071% of price)\n", + "annual vol 20%: 5-min std = 0.00143 (0.143% of price)\n", + "annual vol 30%: 5-min std = 0.00214 (0.214% of price)\n" + ] + } + ], + "source": [ + "print(\"trading minutes per day :\", config.TRADING_MINUTES_PER_DAY)\n", + "print(\"trading minutes per year :\", config.TRADING_MINUTES_PER_YEAR)\n", + "print(\"5-minute window (years) :\", f\"{config.WINDOW_YEARS:.3e}\")\n", + "print(\"log-barrier ln(0.9) :\", round(config.LOG_BARRIER, 5))\n", + "print()\n", + "for ann_vol in (0.10, 0.20, 0.30):\n", + " s = config.horizon_vol(ann_vol, config.WINDOW_MINUTES)\n", + " print(f\"annual vol {ann_vol:.0%}: 5-min std = {s:.5f} \"\n", + " f\"({s*100:.3f}% of price)\")" + ] + }, + { + "cell_type": "markdown", + "id": "795f4e9c", + "metadata": {}, + "source": [ + "### Reality check on live data\n", + "\n", + "Pull one week of **SPY** (S&P 500 ETF) at both 1-minute and 5-minute bars.\n", + "Estimate the standard deviation of the log-returns at each scale, and check\n", + "the ratio is close to $\\sqrt{5} \\approx 2.236$. This is the $\\sqrt{T}$ law\n", + "showing up in real market data." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "862db4a7", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:20.214548Z", + "iopub.status.busy": "2026-07-29T23:43:20.214230Z", + "iopub.status.idle": "2026-07-29T23:43:20.846394Z", + "shell.execute_reply": "2026-07-29T23:43:20.845583Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SPY 1-min log-returns: std = 0.000395 -> annualised = 0.124\n", + "SPY 5-min log-returns: std = 0.000799 -> annualised = 0.112\n", + "\n", + "ratio std(5m)/std(1m) = 2.022 (theory sqrt(5) = 2.236)\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "try:\n", + " spy_1m = data.fetch_intraday(\"SPY\", interval=\"1m\", range_=\"5d\")\n", + " spy_5m = data.fetch_intraday(\"SPY\", interval=\"5m\", range_=\"5d\")\n", + " have_data = True\n", + "except Exception as exc:\n", + " print(\"Live fetch failed (%s); falling back to synthetic GBM.\" % type(exc).__name__)\n", + " have_data = False\n", + "\n", + "if have_data:\n", + " r1 = data.log_returns(spy_1m[\"close\"])\n", + " r5 = data.log_returns(spy_5m[\"close\"])\n", + " s1, s5 = float(r1.std()), float(r5.std())\n", + " bars_per_year = config.TRADING_MINUTES_PER_YEAR // 1\n", + " print(f\"SPY 1-min log-returns: std = {s1:.6f} -> annualised = {s1*np.sqrt(252*390):.3f}\")\n", + " print(f\"SPY 5-min log-returns: std = {s5:.6f} -> annualised = {s5*np.sqrt(252* 78):.3f}\")\n", + " print(f\"\\nratio std(5m)/std(1m) = {s5/s1:.3f} (theory sqrt(5) = {np.sqrt(5):.3f})\")\n", + "\n", + " fig, ax = plt.subplots(figsize=(8, 3.8))\n", + " r5.hist(bins=60, density=True, alpha=0.6, ax=ax, label=\"5-min log-returns\")\n", + " grid = np.linspace(r5.min(), r5.max(), 200)\n", + " from scipy.stats import norm\n", + " ax.plot(grid, norm.pdf(grid, r5.mean(), r5.std()), \"k-\", lw=2, label=\"fitted Gaussian\")\n", + " ax.set_title(\"SPY 5-minute log-returns vs a Gaussian\")\n", + " ax.set_xlabel(\"log-return\"); ax.legend(); plt.savefig(_FIG / \"spy_1m_paths.png\", dpi=150, bbox_inches=\"tight\"); plt.show()\n", + "else:\n", + " print(\"Skipping the empirical plot (no live data).\")" + ] + }, + { + "cell_type": "markdown", + "id": "cef9e3dd", + "metadata": {}, + "source": [ + "> **Note.** The empirical ratio came out a touch *below* $\\sqrt{5}$.\n", + "> That is the signature of **microstructure noise**: bid-ask bounce and\n", + "> discrete tick sizes inject extra variance at the 1-minute scale, so\n", + "> $\\operatorname{Var}(\\text{1-min return}) > \\sigma^2\\,\\Delta t_{1\\text{min}}$.\n", + "> The $\\sqrt{T}$ law is cleanest at 5-minutes and above. Keep this in mind when\n", + "> you read the \"10% in 5 minutes is a $30\\sigma$ event\" calculation in\n", + "> Notebook 03: the *true* diffusive vol is even smaller than the 1-minute\n", + "> sample suggests, which makes the 10% drop even more implausible under pure\n", + "> Brownian motion." + ] + }, + { + "cell_type": "markdown", + "id": "d3824394", + "metadata": {}, + "source": [ + "## 6. Summary\n", + "\n", + "* A stock's **log-price** is a sum of i.i.d. returns — a random walk.\n", + "* By Donsker's theorem the scaling limit is **Brownian motion** $W_t$, the\n", + " Gaussian process with kernel $K(s,t) = \\min(s,t)$.\n", + "* We can sample it via **Cholesky** $x = Lz$ (insight) or via independent\n", + " **increments** (speed) — same joint law.\n", + "* Volatility scales as $\\sigma\\sqrt{T}$; a 5-minute window is a tiny fraction\n", + " of a trading year.\n", + "\n", + "We still need two things before we can answer the question:\n", + "**(a)** a model for the *price* $S_t$ (not just the log), and the calculus for\n", + "manipulating it — **Itô's lemma** (Notebook 02); and **(b)** the probability\n", + "that the process *touches* a barrier within a window — the **first-passage\n", + "time** (Notebook 03).\n", + "\n", + "---\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/02_geometric_brownian_motion_and_ito.ipynb b/notebooks/02_geometric_brownian_motion_and_ito.ipynb new file mode 100644 index 0000000..c3ccaed --- /dev/null +++ b/notebooks/02_geometric_brownian_motion_and_ito.ipynb @@ -0,0 +1,710 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "48c1f622", + "metadata": {}, + "source": [ + "# Notebook 02 — Geometric Brownian Motion & Itô's Lemma\n", + "\n", + "In Notebook 01 we modelled the **log-price** as a Brownian motion. But the\n", + "question is about the **price** $S_t$ itself, and a price has one\n", + "non-negotiable property: **it must stay positive**. An arithmetic Brownian\n", + "motion $X_t = \\nu t + \\sigma W_t$ goes negative with positive probability, so\n", + "it cannot *be* a price. The fix is the most important model in quantitative\n", + "finance: **geometric Brownian motion (GBM)**, and the tool that lets us do\n", + "calculus on it is **Itô's lemma**.\n", + "\n", + "### What this notebook delivers\n", + "\n", + "1. Why prices demand a *multiplicative* (geometric) model.\n", + "2. The GBM stochastic differential equation (SDE).\n", + "3. **Itô's lemma** — the chain rule of stochastic calculus — derived with `sympy`.\n", + "4. The exact solution for $S_t$, and the surprising \"$-\\tfrac12\\sigma^2$\"\n", + " correction that quants call *volatility drag*." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25e9993c", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:25.589239Z", + "iopub.status.busy": "2026-07-29T23:43:25.588907Z", + "iopub.status.idle": "2026-07-29T23:43:27.631311Z", + "shell.execute_reply": "2026-07-29T23:43:27.630435Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import sympy as sp\n", + "\n", + "# =====================================================================\n", + "# Helper functions -- self-contained small library,\n", + "# included verbatim at the top of every notebook so each one runs standalone.\n", + "# (This cell is identical across the series.)\n", + "# =====================================================================\n", + "import types\n", + "from scipy.stats import norm\n", + "import matplotlib as mpl\n", + "\n", + "# --- config: trading-time & volatility conventions (annualised sigma) ---\n", + "TRADING_DAYS_PER_YEAR = 252\n", + "TRADING_HOURS_PER_DAY = 6.5\n", + "TRADING_MINUTES_PER_HOUR = 60\n", + "TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR # 390\n", + "TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY # 98280\n", + "DROP_FRACTION = 0.10 # a 10% drop\n", + "WINDOW_MINUTES = 5 # over a 5-minute window\n", + "WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR # ~5.09e-5\n", + "LOG_BARRIER = float(np.log(1.0 - DROP_FRACTION)) # ln(0.9) ~ -0.10536\n", + "TYPICAL_ANNUAL_VOL = 0.30 # representative liquid large-cap volatility\n", + "\n", + "def minutes_to_years(minutes):\n", + " return minutes / TRADING_MINUTES_PER_YEAR\n", + "\n", + "def horizon_vol(sigma_annual, minutes):\n", + " \"\"\"sigma over `minutes` of trading time via Brownian scaling sigma*sqrt(T).\"\"\"\n", + " return sigma_annual * np.sqrt(minutes_to_years(minutes))\n", + "\n", + "def trading_minutes_to_seconds(minutes):\n", + " return minutes * 60.0\n", + "\n", + "# --- processes: samplers; each returns (t, X) with X of shape (n_paths, n_steps+1) ---\n", + "def _as_rng(rng):\n", + " return np.random.default_rng() if rng is None else rng\n", + "\n", + "def time_grid(T, n_steps):\n", + " return np.linspace(0.0, T, n_steps + 1)\n", + "\n", + "def brownian_motion(T, n_steps, n_paths=1, drift=0.0, sigma=1.0, rng=None):\n", + " \"\"\"Arithmetic BM, dX = drift*dt + sigma*dW, via independent Gaussian increments.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " dt = T / n_steps\n", + " dW = rng.normal(loc=drift * dt, scale=sigma * np.sqrt(dt), size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = np.cumsum(dW, axis=1)\n", + " return t, X\n", + "\n", + "def brownian_motion_cholesky(T, n_steps, n_paths=1, rng=None):\n", + " \"\"\"Standard BM via the min(s,t) covariance (Gram) matrix and its Cholesky factor L (x = L z).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " t_inner = t[1:]\n", + " K = np.minimum(t_inner[:, None], t_inner[None, :]) # min(s,t) Gram matrix\n", + " L = np.linalg.cholesky(K)\n", + " z = rng.standard_normal(size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = z @ L.T\n", + " return t, X\n", + "\n", + "def geometric_brownian_motion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=1.0, rng=None):\n", + " \"\"\"GBM, dS = mu*S*dt + sigma*S*dW, via the exact log-space solution (no Euler error).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=mu - 0.5 * sigma**2, sigma=sigma, rng=rng)\n", + " return t, S0 * np.exp(X)\n", + "\n", + "def brownian_bridge(T, n_steps, n_paths=1, start=0.0, end=0.0, sigma=1.0, rng=None):\n", + " \"\"\"BM conditioned on B(0)=start, B(T)=end.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, W = brownian_motion(T, n_steps, n_paths, drift=0.0, sigma=sigma, rng=rng)\n", + " linear = start + (end - start) * (t / T)\n", + " bridge = W - np.outer(W[:, -1], t / T) + linear[None, :]\n", + " return t, bridge\n", + "\n", + "def merton_jump_diffusion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=0.2,\n", + " jump_intensity=0.0, jump_mean=-0.10, jump_sigma=0.15, rng=None):\n", + " \"\"\"Merton jump-diffusion; jump_intensity=0 reduces exactly to GBM.\"\"\"\n", + " rng = _as_rng(rng)\n", + " dt = T / n_steps\n", + " k = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 # E[J-1]\n", + " nu = mu - 0.5 * sigma**2 - jump_intensity * k # compensated drift\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " counts = rng.poisson(jump_intensity * dt, size=(n_paths, n_steps))\n", + " jump_log = np.zeros((n_paths, n_steps))\n", + " K = int(counts.max()) if counts.size else 0\n", + " if K > 0:\n", + " logJ = rng.normal(jump_mean, jump_sigma, size=(n_paths, n_steps, K))\n", + " mask = np.arange(K) < counts[:, :, None]\n", + " jump_log = (logJ * mask).sum(axis=2)\n", + " jump_path = np.zeros((n_paths, n_steps + 1))\n", + " jump_path[:, 1:] = np.cumsum(jump_log, axis=1)\n", + " return t, S0 * np.exp(X + jump_path)\n", + "\n", + "# --- barriers: first-passage CDFs & the Brownian-bridge miss formula (log-price BM, B<0) ---\n", + "def first_passage_cdf_zero_drift(B, T, sigma):\n", + " \"\"\"P(tau_B<=T) for zero-drift BM, via the reflection principle: 2*Phi(B/(sigma*sqrt(T))).\"\"\"\n", + " return 2.0 * norm.cdf(B / (sigma * np.sqrt(T)))\n", + "\n", + "def first_passage_cdf(B, T, nu, sigma):\n", + " \"\"\"P(tau_B<=T) for BM with drift nu (Bachelier-Levy).\"\"\"\n", + " sT = sigma * np.sqrt(T)\n", + " return norm.cdf((B - nu * T) / sT) + np.exp(2.0 * nu * B / sigma**2) * norm.cdf((B + nu * T) / sT)\n", + "\n", + "def barrier_miss_prob(x0, xT, B, sigma, dt):\n", + " \"\"\"P(BM crossed B inside (0,dt) | both endpoints above B): exp(-2(x0-B)(xT-B)/(sigma^2 dt)).\"\"\"\n", + " if x0 <= B or xT <= B:\n", + " return 1.0\n", + " return float(np.exp(-2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt)))\n", + "\n", + "def max_safe_dt(D, sigma, epsilon):\n", + " \"\"\"Largest sampling interval keeping P(miss)<=epsilon: dt = 2*D^2/(sigma^2 * ln(1/epsilon)).\"\"\"\n", + " if not (0.0 < epsilon < 1.0):\n", + " raise ValueError(\"epsilon must lie in (0, 1)\")\n", + " return 2.0 * D**2 / (sigma**2 * np.log(1.0 / epsilon))\n", + "\n", + "def estimate_first_passage_prob(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Naive MC of P(tau_B<=T) via discrete grid checks (O(sqrt(dt)) downward bias).\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(X <= B, axis=1)))\n", + "\n", + "def estimate_first_passage_prob_bb(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Bias-free MC of P(tau_B<=T) using the Brownian-bridge crossing probability per step.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " dt = T / n_steps\n", + " x0, x1 = X[:, :-1], X[:, 1:]\n", + " both_above = (x0 > B) & (x1 > B)\n", + " p_cross = np.where(both_above, np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), 1.0)\n", + " u = rng.uniform(size=p_cross.shape)\n", + " return float(np.mean(np.any(u < p_cross, axis=1)))\n", + "\n", + "def estimate_bridge_breach_prob(x0, xT, B, sigma, dt, n_paths, n_inner, rng=None):\n", + " \"\"\"MC check of barrier_miss_prob by simulating bridges pinned at x0, xT.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, bridge = brownian_bridge(dt, n_inner, n_paths, start=x0, end=xT, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(bridge <= B, axis=1)))\n", + "\n", + "# --- plotting helpers ---\n", + "def style():\n", + " \"\"\"Apply the project's matplotlib style (serif maths, clean spines).\"\"\"\n", + " mpl.rcParams.update({\n", + " \"figure.figsize\": (8.0, 4.5), \"figure.dpi\": 110, \"savefig.dpi\": 140,\n", + " \"axes.grid\": True, \"grid.alpha\": 0.3,\n", + " \"axes.spines.top\": False, \"axes.spines.right\": False,\n", + " \"font.size\": 11, \"mathtext.fontset\": \"cm\",\n", + " \"axes.titlesize\": 12, \"axes.labelsize\": 11, \"legend.frameon\": False,\n", + " })\n", + "\n", + "def plot_paths(t, X, ax=None, alpha=0.5, lw=0.8, color=\"C0\", label=None, **kwargs):\n", + " \"\"\"Plot each row of X (shape (n_paths, len(t))) against t.\"\"\"\n", + " if ax is None:\n", + " _, ax = plt.subplots()\n", + " X = np.atleast_2d(X)\n", + " for i, row in enumerate(X):\n", + " ax.plot(t, row, color=color, alpha=alpha, lw=lw, label=label if i == 0 else None, **kwargs)\n", + " ax.set_xlabel(\"time\")\n", + " return ax\n", + "\n", + "def hline(ax, y, color=\"crimson\", label=None, ls=\"--\", lw=1.4):\n", + " \"\"\"Draw a horizontal barrier line.\"\"\"\n", + " ax.axhline(y, color=color, ls=ls, lw=lw, label=label)\n", + " return ax\n", + "\n", + "# --- module namespaces (so existing call sites like processes.X / config.Y keep working) ---\n", + "config = types.SimpleNamespace(\n", + " TRADING_DAYS_PER_YEAR=TRADING_DAYS_PER_YEAR, TRADING_HOURS_PER_DAY=TRADING_HOURS_PER_DAY,\n", + " TRADING_MINUTES_PER_HOUR=TRADING_MINUTES_PER_HOUR, TRADING_MINUTES_PER_DAY=TRADING_MINUTES_PER_DAY,\n", + " TRADING_MINUTES_PER_YEAR=TRADING_MINUTES_PER_YEAR, DROP_FRACTION=DROP_FRACTION,\n", + " WINDOW_MINUTES=WINDOW_MINUTES, WINDOW_YEARS=WINDOW_YEARS, LOG_BARRIER=LOG_BARRIER,\n", + " TYPICAL_ANNUAL_VOL=TYPICAL_ANNUAL_VOL, minutes_to_years=minutes_to_years,\n", + " horizon_vol=horizon_vol, trading_minutes_to_seconds=trading_minutes_to_seconds,\n", + ")\n", + "processes = types.SimpleNamespace(\n", + " brownian_motion=brownian_motion, brownian_motion_cholesky=brownian_motion_cholesky,\n", + " geometric_brownian_motion=geometric_brownian_motion, brownian_bridge=brownian_bridge,\n", + " merton_jump_diffusion=merton_jump_diffusion,\n", + ")\n", + "barriers = types.SimpleNamespace(\n", + " first_passage_cdf_zero_drift=first_passage_cdf_zero_drift, first_passage_cdf=first_passage_cdf,\n", + " barrier_miss_prob=barrier_miss_prob, max_safe_dt=max_safe_dt,\n", + " estimate_first_passage_prob=estimate_first_passage_prob,\n", + " estimate_first_passage_prob_bb=estimate_first_passage_prob_bb,\n", + " estimate_bridge_breach_prob=estimate_bridge_breach_prob,\n", + ")\n", + "plotting = types.SimpleNamespace(style=style, plot_paths=plot_paths, hline=hline)\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _img_subdir(sub):\n", + " \"\"\"Resolve /images/, creating it; cwd-independent.\"\"\"\n", + " root = Path.cwd()\n", + " for cand in (root, *root.parents):\n", + " if (cand / \"notebooks\").is_dir():\n", + " root = cand\n", + " break\n", + " d = root / \"images\" / sub\n", + " d.mkdir(parents=True, exist_ok=True)\n", + " return d\n", + "\n", + "_FIG = _img_subdir(\"02_gbm_ito\")\n", + "\n", + "plotting.style()\n", + "RNG = np.random.default_rng(2)\n" + ] + }, + { + "cell_type": "markdown", + "id": "c308f848", + "metadata": {}, + "source": [ + "## 1. Why the model must be multiplicative\n", + "\n", + "If we tried $S_t = S_0 + \\nu t + \\sigma W_t$ (arithmetic Brownian motion), then\n", + "for any horizon $T$ there is a strictly positive probability that\n", + "$S_T < 0$. A negative stock price is absurd, so this model is *disqualified*.\n", + "\n", + "The economic intuition is that returns — not absolute price changes — should be\n", + "stationary. A $\\$1$ move in a $\\$10$ stock and in a $\\$1000$ stock are very\n", + "different events. We therefore insist that the **instantaneous return** be\n", + "\n", + "$$\\frac{dS_t}{S_t} \\;=\\; \\text{(drift)}\\,dt + \\text{(noise)}\\,dW_t.$$\n", + "\n", + "Because $dS_t$ is proportional to $S_t$, if $S_t > 0$ it can never reach zero\n", + "(or below) in finite time — positivity is preserved.\n", + "\n", + "Let's see the difference in simulation." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "369a5a72", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:27.635804Z", + "iopub.status.busy": "2026-07-29T23:43:27.635207Z", + "iopub.status.idle": "2026-07-29T23:43:28.967445Z", + "shell.execute_reply": "2026-07-29T23:43:28.966635Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min arithmetic-BM price: 17.62 -> crosses zero: False\n", + "min geometric-BM price : 48.81 -> always positive\n" + ] + } + ], + "source": [ + "# Same noise, two models: arithmetic BM (can go negative) vs geometric BM.\n", + "T, n_steps, n_paths = 1.0, 500, 30\n", + "mu, sigma = 0.10, 0.30\n", + "t, W = processes.brownian_motion(T, n_steps, n_paths, sigma=sigma, rng=RNG)\n", + "S_arith = 100 * (1 + 0.10 * t + W) # arithmetic, can go negative\n", + "S_geom = processes.geometric_brownian_motion(100, T, n_steps, n_paths, mu, sigma, rng=RNG)[1]\n", + "\n", + "fig, ax = plt.subplots(figsize=(9, 4.2))\n", + "plotting.plot_paths(t, S_arith, ax=ax, alpha=0.5, color=\"C3\", label=\"arithmetic BM (can be $<0$)\")\n", + "plotting.plot_paths(t, S_geom, ax=ax, alpha=0.5, color=\"C0\", label=\"geometric BM (always $>0$)\")\n", + "ax.axhline(0, color=\"k\", lw=0.8)\n", + "ax.set_title(\"Positivity: arithmetic vs geometric Brownian motion\")\n", + "ax.set_xlabel(\"time (years)\"); ax.set_ylabel(\"price\"); ax.legend(loc=\"upper left\")\n", + "plt.savefig(_FIG / \"arithmetic_vs_gbm.png\", dpi=150, bbox_inches=\"tight\"); plt.show()\n", + "\n", + "print(\"min arithmetic-BM price:\", round(float(S_arith.min()), 2),\n", + " \" -> crosses zero:\", bool((S_arith <= 0).any()))\n", + "print(\"min geometric-BM price :\", round(float(S_geom.min()), 2), \" -> always positive\")" + ] + }, + { + "cell_type": "markdown", + "id": "de6fe76d", + "metadata": {}, + "source": [ + "## 2. The Geometric Brownian Motion SDE\n", + "\n", + "Writing the noise amplitude on the *return* as a constant $\\sigma$ (the\n", + "**volatility**) and the drift of the return as $\\mu$, we obtain the **GBM SDE**:\n", + "\n", + "$$\\boxed{\\;dS_t \\;=\\; \\mu\\, S_t\\, dt \\;+\\; \\sigma\\, S_t\\, dW_t\\;}$$\n", + "\n", + "The two parameters have units:\n", + "\n", + "* $\\mu$ — **drift**, the expected instantaneous *return* per unit time (annual);\n", + "* $\\sigma$ — **volatility**, the instantaneous standard deviation of the return\n", + " per $\\sqrt{\\text{time}}$.\n", + "\n", + "> **Quant's note.** GBM is the model underlying the Black–Scholes option\n", + "> formula. Its great virtues: positivity, closed-form solutions, and stationary\n", + "> log-returns. Its great sin: it cannot reproduce **jumps** or **volatility\n", + "> clustering**, which is exactly why real extreme moves lie outside it. We\n", + "> return to this in Notebook 05.\n", + "\n", + "To do anything useful with this SDE — e.g. turn it into a closed-form price,\n", + "or move to the log-price — we need a chain rule. That is Itô's lemma." + ] + }, + { + "cell_type": "markdown", + "id": "feb6ff1b", + "metadata": {}, + "source": [ + "## 3. Itô's lemma: the chain rule of stochastic calculus\n", + "\n", + "Suppose $S_t$ satisfies $dS_t = a(S_t,t)\\,dt + b(S_t,t)\\,dW_t$ and let\n", + "$f(S_t, t)$ be a smooth function. The deterministic chain rule $df = f_S\\,dS +\n", + "f_t\\,dt$ is **wrong** here. Why? Because Brownian increments are not $O(dt)$\n", + "but $O(\\sqrt{dt})$: over $dt$ the typical move is $\\sigma\\sqrt{dt}$, so\n", + "$(dS_t)^2 \\sim dt$, which is *not* negligible in a second-order Taylor\n", + "expansion.\n", + "\n", + "### The derivation\n", + "\n", + "Expand $f$ to second order:\n", + "\n", + "$$df \\;=\\; f_t\\,dt + f_S\\,dS \\;+\\; \\tfrac12 f_{SS}\\,(dS)^2.$$\n", + "\n", + "Now substitute $dS = a\\,dt + b\\,dW$ and use the quadratic-variation facts\n", + "\n", + "$$dt \\cdot dt = 0, \\qquad dt \\cdot dW = 0, \\qquad (dW)^2 = dt.$$\n", + "\n", + "Keeping only terms of order $dt$:\n", + "\n", + "$$(dS)^2 \\;=\\; b^2\\,(dW)^2 \\;=\\; b^2\\,dt.$$\n", + "\n", + "So\n", + "\n", + "$$\\boxed{\\;df \\;=\\; \\Big(f_t + a\\,f_S + \\tfrac12 b^2 f_{SS}\\Big)\\,dt \\;+\\; b\\,f_S\\,dW_t\\;}$$\n", + "\n", + "The new ingredient versus ordinary calculus is the **$\\tfrac12 b^2 f_{SS}$\n", + "term** — the *Itô correction*." + ] + }, + { + "cell_type": "markdown", + "id": "46064b09", + "metadata": {}, + "source": [ + "### Itô's lemma, done symbolically with `sympy`\n", + "\n", + "Let's verify the algebra mechanically. We expand\n", + "$f(S_t + dS) - f(S_t)$ to second order and substitute the multiplication\n", + "table $(dt)^2 = dt\\,dW = 0$, $(dW)^2 = dt$." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5be1f637", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:28.974789Z", + "iopub.status.busy": "2026-07-29T23:43:28.974358Z", + "iopub.status.idle": "2026-07-29T23:43:29.306424Z", + "shell.execute_reply": "2026-07-29T23:43:29.305667Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Itô drift df/dt coefficient: a(S, t)*Derivative(f(S, t), S) + b(S, t)**2*Derivative(f(S, t), (S, 2))/2\n", + "Itô diffusion dW coefficient: b(S, t)*Derivative(f(S, t), S)\n" + ] + } + ], + "source": [ + "# Symbolic Itô expansion for a general f(S, t) and dS = a dt + b dW.\n", + "S, t, dW, dt = sp.symbols(\"S t dW dt\")\n", + "a, b = sp.symbols(\"a b\", cls=sp.Function) # a(S,t), b(S,t)\n", + "f = sp.Function(\"f\")\n", + "\n", + "# First- and second-order Taylor terms of f around (S, t).\n", + "f_S = sp.diff(f(S, t), S)\n", + "f_SS = sp.diff(f(S, t), S, 2)\n", + "\n", + "# Substitute dS = a(S,t) dt + b(S,t) dW, then apply the quadratic-variation rules.\n", + "dS = a(S, t)*dt + b(S, t)*dW\n", + "dS_squared = sp.expand(dS**2)\n", + "rules = {dt**2: 0, dt*dW: 0, dW**2: dt}\n", + "dS_squared = dS_squared.subs(rules)\n", + "\n", + "# Itô drift and diffusion.\n", + "drift = f_S * a(S, t) + sp.Rational(1, 2) * f_SS * b(S, t)**2\n", + "diffuse = f_S * b(S, t)\n", + "\n", + "print(\"Itô drift df/dt coefficient:\", sp.simplify(drift))\n", + "print(\"Itô diffusion dW coefficient:\", sp.simplify(diffuse))" + ] + }, + { + "cell_type": "markdown", + "id": "e1149ef5", + "metadata": {}, + "source": [ + "## 4. Applying Itô to the log-price\n", + "\n", + "This is the pivotal calculation for the whole project. Take\n", + "$f(S) = \\log S$ (no explicit $t$ dependence) applied to GBM, where\n", + "$a(S,t) = \\mu S$ and $b(S,t) = \\sigma S$.\n", + "\n", + "$$f_S = \\frac{1}{S}, \\qquad f_{SS} = -\\frac{1}{S^2}.$$\n", + "\n", + "Plugging into Itô's formula:\n", + "\n", + "$$d(\\log S_t) \\;=\\; \\Big(\\mu S \\cdot \\tfrac{1}{S} + \\tfrac12 \\sigma^2 S^2 \\cdot \\big(-\\tfrac{1}{S^2}\\big)\\Big)\\,dt \\;+\\; \\sigma S\\cdot\\tfrac{1}{S}\\,dW_t,$$\n", + "\n", + "$$\\boxed{\\;dX_t \\;=\\; \\Big(\\mu - \\tfrac12 \\sigma^2\\Big)\\,dt \\;+\\; \\sigma\\, dW_t, \\qquad X_t := \\log S_t.\\;}$$\n", + "\n", + "The log-price is an **arithmetic Brownian motion** with drift\n", + "$\\nu := \\mu - \\tfrac{1}{2}\\sigma^2$. The $-\\tfrac12\\sigma^2$ is the *Itô\n", + "correction*; it is the price of applying a nonlinear function (log) to a\n", + "process with non-zero quadratic variation." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "be49c4cb", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:29.309427Z", + "iopub.status.busy": "2026-07-29T23:43:29.308993Z", + "iopub.status.idle": "2026-07-29T23:43:29.344048Z", + "shell.execute_reply": "2026-07-29T23:43:29.343037Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "d(log S) drift = mu - sigma**2/2 * dt\n", + "d(log S) diffusion = sigma * dW\n", + "\n", + "=> nu = mu - sigma^2 / 2 : True\n" + ] + } + ], + "source": [ + "# Same calculation, with sympy, for GBM specifically.\n", + "S, t, dW, dt, mu, sigma = sp.symbols(\"S t dW dt mu sigma\", positive=True)\n", + "f = sp.log(S)\n", + "f_S = sp.diff(f, S)\n", + "f_SS = sp.diff(f, S, 2)\n", + "a_S, b_S = mu * S, sigma * S\n", + "\n", + "drift_X = sp.simplify(a_S * f_S + sp.Rational(1, 2) * b_S**2 * f_SS)\n", + "diffusion_X = sp.simplify(b_S * f_S)\n", + "print(\"d(log S) drift =\", drift_X, \" * dt\")\n", + "print(\"d(log S) diffusion =\", diffusion_X, \"* dW\")\n", + "print(\"\\n=> nu = mu - sigma^2 / 2 :\", sp.simplify(drift_X - (mu - sigma**2 / 2)) == 0)" + ] + }, + { + "cell_type": "markdown", + "id": "562dc912", + "metadata": {}, + "source": [ + "### Volatility drag — why the median drifts slower than the mean\n", + "\n", + "Integrating the log-price SDE gives the **exact solution**\n", + "\n", + "$$\\boxed{\\;S_t \\;=\\; S_0\\,\\exp\\!\\Big(\\big(\\mu - \\tfrac12 \\sigma^2\\big)\\,t + \\sigma W_t\\Big).\\;}$$\n", + "\n", + "From this:\n", + "\n", + "* **Mean:** $\\;\\mathbb E[S_t] = S_0\\,e^{\\mu t}$ — drift $\\mu$.\n", + "* **Median:** $\\;\\operatorname{Median}(S_t) = S_0\\,e^{(\\mu - \\sigma^2/2)\\,t}$ — drift $\\mu - \\sigma^2/2$.\n", + "\n", + "The median grows *slower* than the mean, and the gap is $\\tfrac12\\sigma^2 t$.\n", + "This is **volatility drag**: high volatility raises the (positive-skew) mean\n", + "but lowers the typical (median) outcome. A stock that halves then doubles has\n", + "averaged a $41\\%$ gain yet left you exactly where you started." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "fa1a5c9f", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:29.347319Z", + "iopub.status.busy": "2026-07-29T23:43:29.346983Z", + "iopub.status.idle": "2026-07-29T23:43:32.651236Z", + "shell.execute_reply": "2026-07-29T23:43:32.649389Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "simulated E[S_T] = 110.626 formula 110.517\n", + "simulated median = 105.780 formula 105.654\n", + "vol drag over 1y = 4.60% (= (e^(sigma^2/2)-1) = 4.60%)\n" + ] + } + ], + "source": [ + "# Simulate GBM and check the exact-solution moments against the formulas.\n", + "S0, T, mu, sigma = 100.0, 1.0, 0.10, 0.30\n", + "n_paths, n_steps = 200_000, 200\n", + "t, S = processes.geometric_brownian_motion(S0, T, n_steps, n_paths, mu, sigma, rng=RNG)\n", + "ST = S[:, -1]\n", + "\n", + "mean_formula = S0 * np.exp(mu * T)\n", + "median_formula = S0 * np.exp((mu - 0.5*sigma**2) * T)\n", + "\n", + "print(f\"simulated E[S_T] = {ST.mean():8.3f} formula {mean_formula:8.3f}\")\n", + "print(f\"simulated median = {np.median(ST):8.3f} formula {median_formula:8.3f}\")\n", + "print(f\"vol drag over 1y = {(mean_formula/median_formula - 1)*100:.2f}% \"\n", + " f\"(= (e^(sigma^2/2)-1) = {(np.exp(sigma**2/2)-1)*100:.2f}%)\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1ae6ac95", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:32.655456Z", + "iopub.status.busy": "2026-07-29T23:43:32.655031Z", + "iopub.status.idle": "2026-07-29T23:43:34.659349Z", + "shell.execute_reply": "2026-07-29T23:43:34.658485Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAyUAAAHJCAYAAACbjZZPAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAQ6wAAEOsBUJTofAAAwuxJREFUeJzs3XdcVfX/wPHXvcBlyV6iIoiKE1RwpKbiTsscaWnukVlmzrL8lSNL8mupuXLPStRcpeXImebe5t4LFw6QDff8/giOXC8gIHgZ7+fj4cNzzueM9/nce4H3/YyjURRFQQghhBBCCCFMRGvqAIQQQgghhBCFmyQlQgghhBBCCJOSpEQIIYQQQghhUpKUCCGEEEIIIUxKkhIhhBBCCCGESUlSIoQQQgghhDApSUqEEEIIIYQQJiVJiRBCCCGEEMKkJCkRQgghhBBCmJQkJUIIIYQQQgiTkqRECBMaPXo0Go2GK1euvJTr9ejRA41G81KuldrChQvRaDRs3779pV87J+T3+POr4OBgfHx8TB2GyAPS+gzmtc/l4sWLsbS05OrVq7l+re3bt6PRaFi4cGGunD+t3xVp/b7Ka6+BqX7HpeXKlStYWloSGhpq6lDyDUlKRJri4+OZO3cuzZs3x8PDA51Oh729PVWqVKF///7s3bvXYP8rV66g0WgM/pmbm1OsWDGaNGnCypUrja6R8sNDo9Gwbdu2NOPYunWruk+fPn0yFfvo0aNZs2ZNNu9cCCGEyJqoqChGjBjB+++/j7e3t6nDyZTJkyfnSlJz5coVRo8ezdGjR3P83PmJj48PvXv3Zvjw4cTExJg6nHxBkhJh5Nq1a9SsWZP33nuPqKgoBgwYwMyZMwkJCaF+/fr88ccf1K5dO81EIjg4mCVLlrBkyRLmzJnDe++9x9mzZ2nfvj1TpkxJ83pWVlbMmzcvzbK5c+diZWWVpfjHjBmTb5KSL774gpiYmHzzSyy7unbtSkxMDPXr1zd1KEKIAiIv/VyZM2cOt27dYsiQIaYOJdMySkrmzJmTqT+k03oNrly5wpgxYwp9UgIwZMgQrl27xoIFC0wdSr5gbuoARN4SFxfH66+/zunTp1m6dCkdO3Y02ueHH35g8eLFWFtbG5WVLl2aLl26GGxr3749AQEBzJ8/n48//tjomHbt2rFy5UqmTZuGo6Ojuv3hw4esXr2at956i59//jnH7vFFJCYmkpSUhKWlZY6cz9zcHHPzgvsxjIqKwtbWFjMzM8zMzEwdjsiGlNdQ5F1RUVHcuHGDcuXKmTqUlyqv/FxRFIUZM2YUqO6GFhYWWFhYPHe/vPIaZFVcXBxmZma5/vu3TJky1KlThx9//JEPP/wwV69VEEhLiTAwb948Tp48ybBhw9JMSAC0Wi09evTglVdeydQ5PT09AdDpdGmW9+nTh9jYWH755ReD7UuWLCEuLo5evXpl6jopfWwBFi1aZNCVLLUjR47Qvn173N3d0el0+Pr68tlnnxEdHW2wX0r3svDwcPr27YunpyeWlpbs2bNH7Ue7ZcsWxo0bh6+vL1ZWVlSpUoU///wTgFOnTvHGG2/g4OCAo6MjPXr04MmTJwbXSKuPbsq2c+fOMXLkSLy9vbG0tKRChQpGdQSwbNky2rRpg7e3N1ZWVjg7O9OiRQv++eefTNVbelJ+wV69epW33noLJycnbG1tadq0qdE3YCnd90aPHs3KlSupWbMmNjY2vP7665BBv+OEhAQmTZpEUFAQtra22NnZERAQwKhRowz2UxSFOXPmULNmTWxtbbG1taVOnTpptoht2LCBRo0a4e7ujpWVFSVKlKBly5ZG9XHmzBkuXrz4QnX06NEjhgwZQqlSpbC0tMTDw4NOnTpx/vx5o33j4+P54osvKFmyJFZWVlSsWJHZs2dnuU+2j48PwcHBnDt3jtatW+Pg4ECRIkV4/fXX07yfzMb4vNcw5bonT56kefPm2Nvb4+LiQp8+fYiKikJRFCZMmECZMmWwtLSkUqVKrF+/3iieH3/8kebNm1OiRAl0Oh3u7u60b9+eU6dOZaHmMyf1Pa1atYrAwECsra0pWbIk3333HQCPHz/m/fffp2jRolhbW9OoUSPOnTtndK74+Hj+97//ERAQgLW1Nfb29jRp0oSdO3e+0D1m9fVMy7179yhfvjxBQUF8//333Lx5M1v1lZqp6i4hIYFRo0bh4+ODlZUVFSpU4Mcff0wzxrQ+O5GRkXz55Ze88soruLm5odPp8PHx4eOPP+bRo0fp3uOff/7JK6+8grW1Ne7u7vTr18/od0J6Dh06xPnz59XPSoq5c+ei0WjS/VItODgYOzs7oqKi1G1nzpyhY8eOeHh4YGlpia+vL8OGDSMiIuK5cej1esaNG0dwcDCenp7odDqKFy9Oz549uXHjhtF9X716lR07dhj8rkz5XZTZsRnPvgajR4+mYcOGAPTs2VM9b3BwMHFxcbi6ulKrVq00z7Vs2TI0Gg0zZ8587nXv3LlD9+7dcXFxwdbWlrp166bbDTz177KOHTvi6uqKlZWVWidZ/Zm0ZMkSAgICsLS0pESJEnz66aecPn1afS89q2XLlpw8eZKTJ08+974Ku4L7Fa3IluXLlwPQt2/fbB0fFxfH/fv3IfmXy9WrV/n666/RaDR89NFHaR5TtmxZ6tevz7x58wy+SZg3bx6NGjXC19c3U9euUKECS5YsoWvXrtSrVy/Ne9iwYQNt2rTBy8uLAQMG4OHhwbFjx5g4cSK7d+9m27ZtRt+cNGnSBFdXVz777DP0ej1FixZVf3B//vnnxMXF8cEHH2BmZsYPP/xA69at+fXXX+nduzdvv/02rVq1Ys+ePSxatAhLS0tmzZqVqfvp3r07Go2Gjz/+GK1Wy4wZM+jcuTO+vr4GCeG0adNwcnKiT58+eHp6cv36debNm0dwcDA7duygdu3ambpeWqKiomjQoAHVqlXj66+/5vr160yfPp169eqxZ88eKleubLD/2rVrmTx5Mv369eO9995DUZR0z52QkECLFi3YsmULDRo0YOTIkdjZ2XHmzBlWrFjBmDFj1H179uzJ4sWLad26NZ07dwZg1apVtG3blh9//JF+/foBsHPnTt544w0qVqzIJ598gouLC7dv32b37t0cPXqUOnXqqOesUKEC3t7e2Z5kIDIykrp163Lq1Ck6d+5MnTp1uHjxIjNmzGDDhg3s3r2bihUrqvt37tyZX3/9laZNm/LJJ58QHh7OqFGj8PLyyvK1b968Sf369XnzzTcZP34858+fZ+rUqbz55pucOHECrVabrRh5zmt48+ZNGjVqRPv27Wnbti179uxh3rx5xMTE4OTkxK5du3j//ffVz0K7du04d+6cQffE//3vf9SqVYv+/fvj6urK+fPnmTt3Lps3b+bIkSOZ/rxnxfr165kxYwYffPABffr0YenSpXzyySdYWVmxYMECihcvzpdffklYWBgTJ06kTZs2nDx5Uq3HxMREWrZsyY4dO+jUqZP6B+tPP/1Eo0aNWLNmDW+88Ua27zGzr2d6PD09mTRpEqGhoQwbNoxPP/2U+vXr8+6779K+fXucnJzyTd1169aN0NBQGjVqxJAhQ9TPScmSJTMV782bN5k9ezbt2rXjnXfewcrKiv379/Pjjz+ya9cu9u3bZ9QC8OeffzJt2jTef/99evTowZYtW9Sf05n5Aznlj+Fnv6h7++23GThwIIsWLVJ/bqW4fPkyO3fupHv37mpL5NGjR6lfvz5JSUl88MEH+Pr6smvXLr7//nv++usv/vnnH2xsbNKNIz4+nvHjx9OuXTtef/11HBwcOH78OPPnz2fLli0cO3YMJycn3NzcWLJkCYMHD8bV1ZX/+7//U8/h5uaWqXpOT7t27UhISGDcuHH07duXevXqAahJVvfu3Zk4cSLHjx8nICDA4Ni5c+dia2vLu+++m+E1IiMjqVevHhcuXKBHjx7UqFGDf//9lzfeeIPSpUunecyTJ0+oV68eNWvWZMyYMURGRlKkSBHI4ud1+vTpfPTRR5QvX54xY8ZgYWHB0qVLM/xSKeX3ztatW41+Z4pnKEKk4uLiotjb2xtt1+v1yr179wz+RUZGquWXL19WgDT/OTo6KsuWLTM6Z/fu3RVAuX79urJo0SIFUI4cOaIoiqLs27dPAZRffvlFPXfv3r0zdQ+A0r17d6PtMTExStGiRZWaNWsqsbGxBmUrVqxQAGXhwoVG8XXu3NnoXAsWLFAAJSAgwOBcR44cUQBFo9EY3XPr1q0VCwsLg3obNWqUAiiXL1822taiRQslKSlJ3X7t2jXFwsJC6dSpk8F5nzx5YhRfWFiY4uLiorz++usG21PuKTMaNGigAEr//v0Ntu/bt0/RaDRK48aN1W0pr5G5ubny77//Gp0rpb62bdumbpswYYICKB9//LGi1+sN9k9932vWrFEAZeLEiUbnfeONNxR7e3slIiJCURRFGTx4sAIot2/ffu79AYq3t/dz90sv/i+//FIBlPHjxxvsu337dgUwqJ9NmzYpgPL2228b3Ou1a9cUW1tbo3NnxNvbW/1spBYSEqIAysaNG7MV4/New5TrLl261GB769atFY1Go1StWlWJi4tTt6d8Fj7//HOD/dN6v/7777+KTqczeq81aNAg069RWlLuydraWrl48aK6PTY2VvHw8FA0Go3ywQcfGBwzadIko3qcPHmyAiirVq0y2Dc+Pl6pVq2aUqpUqWzfY1Zez8y4dOmSMm7cOCUgIEABFJ1Op7z55pvKsmXLlOjo6EyfxxR1t2XLFgVQ2rZta/A5uXTpkmJtbW30OUnrcxkXF6fEx8cb3c+cOXMUQFmxYsVz71FRFKV58+aKhYVFmq/ls1J+rqb1c6dLly6KVqtVrl+/brA95ef8jh071G316tVTNBqNsmfPHoN9x4wZowDK2LFj1W3btm1TAGXBggXqNr1er0RFRRnFsHnzZgVQJkyYYLDd29tbadCgQYb3lFbMqX9fpfUapBVbinPnzikajUYZMGCAwfZLly4pGo1G6dWrV5rxpJbyc23SpEkG25cuXar+3ZFayu+yESNGpHm+zH5eHz58qNja2iq+vr7q7xwl+TNRo0YNBVBGjRpldK7r168rgNKnT5/n3lthJ923hIHHjx9jb29vtD08PBw3NzeDf2m1fLRo0YLNmzezefNmNm7cyLx586hYsSJdu3ZlxYoV6V63Q4cOODg4qAPe586di5OTE+3atcuxe/vrr7+4ffs2PXr0IDIykvv376v/GjRogK2tLRs3bjQ6btiwYeme86OPPjIYX1K1alXs7e3x9PTk7bffNti3QYMGJCQkZPqb+cGDBxt8Q+rl5UW5cuWMukek7u8fGRlJeHg45ubm1KpVy2iWtOwYMWKEwXrNmjVp0qQJW7du5eHDhwZlr7/+utE37+n56aefsLW1Zdy4cUbdBFLf95IlS7C2tuadd94xeM3u379P27ZtiYiIYM+ePQDqmKQVK1aQmJiY4fUVRXmhqZhXrlyJg4MDAwcONNjeoEEDGjZsaFA/q1evBuDTTz81uFcvLy+jb1Azo1ixYnTq1MlgW9OmTQEM3h9ZiTFFRq9hsWLFjLp1NmjQAEVR+PDDDw26aKZ8FtJ7vyqKQkREBPfv38fd3Z1y5crlyPs1LW3btjX4ttPS0pJatWqhKAqDBw82uh+eqcclS5bg4+NDvXr1DN5/jx8/5s033+Ty5csG+2f1HjP7emZGqVKl+Pzzzzl27BinTp1i+PDhnDlzhnfeeQcPDw+6deuWZvfC9LzMukuZpfHzzz83+JyUKlUq058TnU6ntoQkJiby6NEj7t+/T+PGjQHSrP9n75Hk+k9ISODy5cvPvea9e/cAcHZ2Nirr0aMHer2eJUuWqNsURWHx4sX4+vqqLQn37t3j77//pnnz5kYtLsOGDcPW1jbNWSxT02g0akuKXq9X771q1ao4Ojrm2ucrK8qWLUvDhg356aefiI2NVbfPnTsXRVEy1Utj5cqVODo6Go3R6NixI2XLlk33uE8++STN7Zn9vG7atImoqCg+/PBD7Ozs1O2WlpZGn4XUXFxcALh79+5z762wk6REGHBwcEiz76qDg4OabCxdujTd41OmAG7SpAnNmjWjV69ebN++ndKlS/Pee+8Z/QGUwtramk6dOvHzzz8THh5OaGgoXbp0ybEB5QCnT58G4MMPPzRKsNzd3YmKiuLOnTtGx/n5+aV7zrS6mjg5OaW7neQELzPSOoeLi4vR8cePH6dNmzbY29tjb2+Pq6srbm5u/PHHHzx48CBT10qPo6MjxYoVM9pesWJFFEXh0qVLBtszqqtnnTt3Dj8/v+cOoj59+jQxMTEUL17c6HXr3bs3JPcvJjlJrF69OgMGDMDZ2ZnmzZvzzTffZOoPi6y6dOmSOn7iWf7+/iiKol43pZ7Kly9vtG+FChUM1uPj47l9+7bBv8ePHxvsk957g2feX1mJMUV23u8ZlT37ft25cydNmjTB1tYWBwcH9bU8ceLEC79fcyLutD6np0+f5sqVK0bvPzc3N7WbYeqfHVm9x8y+nllVoUIFvvrqK/bt20f//v158uQJS5YsYffu3Zk+x8usu5QxNGklxZUqVcp0zHPmzKFatWpYW1ur3ZVSYn2Z9Q/QqFEjvL29WbRokbptx44dXL582WDcRsrPiLTu08bGhtKlS2dqjNGaNWuoU6eOwb27ubnx6NGjXPt8ZVW/fv14+PChmmQlJiayYMECAgIC0h1vktrFixcpU6ZMmuNU0/tCxc3NzWAindQy+3nNys/x1FK6wOaV56fkZTKmRBioXLkyO3bs4OLFiwZ9My0sLGjSpAmAwYC5zLCwsKBp06ZMmTKFffv28dprr6W5X58+fZg5cybvvvsukZGRmX4uSWbp9XoAvvnmG2rWrJnmPmn1vc6oD296s45kNBtJRuMsMnOO1Mdfv36dV199lSJFivD5559Tvnx5bG1t0Wq1hISEsHXr1kxdK7ue/SGbUV1ll16vx8HBgV9//TXdfVJ+kTs7O7Nv3z52797NX3/9xa5duxgzZgxjxozhp59+Mmq9elG58Uvmn3/+UQeKpujevbvB1J1ZeX9lNcbsvN8zKksdz6FDh2jcuDG+vr588803+Pr6YmNjg0ajYeDAgQYDfnPSi8at1+spV64c06ZNS/c8KX3Fs3OPOfHz4llRUVH8/vvvLF26lA0bNhAfH0+NGjXo3Lkzb775ZqbP8zLrLiOZrYcffviBQYMG0bhxY2bMmEGxYsWwtLQkKSmJ1157Tf09kJn7yOx1U8ZhPHjwAA8PD4MyjUZDt27dGDt2LHv37uWVV15RJ2Lp1q2b0XVe5GfKmjVraNu2LdWrV2fixImULFlSnSWzY8eOad67KbRp04aiRYsyd+5cOnfuzPr16wkLCzMY25Jd6b1e6f1cy87nNauvUUpi6+7unqXjCiNJSoSB9u3bs2PHDmbPns348eNz7LwpXWkymkEkKCiIqlWrsmnTJqpXr240CO5FpXwDbGVlpSZY+d3q1auJjIxkzZo1NGrUyKAsJ37AP3r0iFu3bhm1lpw6dQqNRkOpUqWyfW4/Pz/OnTv33Cln/fz8OHPmDNWqVVO/vcyIVqulXr16areIq1evEhgYyIgRI3I0KfH19eX8+fPExcUZtUScPHnSoH5Svok9c+YMQUFBBvumtOClqFKlCps3bzbYllZrVU7H+DL8/PPPJCYm8ueffxp9Ox0eHp7lZxK9LH5+fly/fp3g4ODnTiFqynuMi4tjw4YNLF26lN9//53o6GjKlSvHiBEj6Ny5M2XKlMm1a6cnK3WX8kXYqVOnqFGjhkFZZmdnW7RoET4+PmzatMmgG+izn7OclJJUnT9/3igpIbkL19dff82iRYvw9/fn119/pWHDhgYTQKTce1ozNMXExHDp0qV0B3GnWLx4MVZWVuzYscPgj/CoqKg0eynk1jf3zzuvhYUFvXr1Yty4cZw/f545c+ZgbW2d6S56pUuX5sKFC8THxxu1lmT1dc7K5zWl/PTp07Rs2TLT103pLunv75+l2Aoj6b4lDPTp04eKFSvy/fffExoamuY+Wf3mLjo6mj/++AONRkNgYGCG+37//feMGjWKCRMmZOkaqRUpUiTNZuqUp9NPmDCB27dvG5UnJibmmebtzEr5Jf/sa7Jhwwb279+fI9cYN26cwfr+/fv566+/aNiw4QvN6tOlSxeioqL48ssvjcpSf6OX8m3ip59+muZ7L3W3mZS+3amVLFkSNzc3o24YLzolcLt27Xj8+DFTp0412L5r1y62bt1qUD9t2rSB5Flenm3pena6UCcnJ7ULZMq/zI7TeZEYX4b03q8zZ85Ms+tkXtGtWzcePnzIN998k2Z56thNcY+RkZH07NkTDw8P2rRpw99//83777/PgQMHOHPmDKNGjTJJQkIW6y5lDGFISIhB/V2+fDnTz6pKqf/UP0MUReGrr77K9j08T3BwMKQzXoXkP2br1atHaGgoP//8M0+ePKFnz54G+7i5ufHqq6+yceNGo5/d33//PU+ePOGtt97KMA5zc3M0Go1Ri8jYsWPTbCVJ73fli0qZ1Sqjc7/33ntotVrGjBnDhg0bePvtt9PtXvWsdu3a8ejRI2bMmGGwPTQ0NEvjpcji57VZs2bY2NgwY8YMIiMj1e1xcXFMmjQp3WukjHl8tgVcGJOWEmHAysqK9evX06pVKzp16sS0adN47bXXKFasGFFRUVy6dEkdsJ7WN6wXL17kp59+guRfCjdu3GDx4sVcuXKFDz/88Lm/GBs1amT0jX9WvfLKK/z111+MHz+ekiVLotFo6NixIzY2NixZsoTWrVtToUIFevbsSfny5YmMjOTChQusWrWK8ePH06NHjxe6/svUokULbG1t6dq1qzqd4eHDh/n555/x9/fnxIkTL3R+V1dX1q1bx82bN2natCnXrl1j+vTp2NjYMHHixBc698CBA1m/fj2TJk3iyJEjtGzZEjs7O86dO8emTZvUbwzfeust3nvvPebMmcOxY8fUpv9bt25x8OBB/vzzTxISEiB5Kutr167RvHlzvL29SUxM5LfffuPs2bMMGjTI4PovOiXwp59+yqpVq/jkk084duyYwXS7Dg4OBolAs2bNaNu2LcuXL+fhw4e0atWKBw8eMHPmTCpVqsT+/ftz5VvLrMT4MrRt25aJEyfSokUL+vbti42NDbt27WLjxo2ULl36uZMTkPw8ooYNGxp1actNAwcOZMuWLYwePZqdO3fSrFkznJ2duX79Ort37+by5ctqf/OcuMesCg8PVx80++6779KwYcPnTiP8smSl7ho3bkyHDh1YsWIFTZs2pXXr1oSHhzNjxgwqVqzIoUOHnnu99u3bM3z4cJo3b0779u2Jjo5m9erVxMXF5do9BgUFUaZMGdavX5/uxCg9evSgV69efPLJJ9jZ2aU5icvUqVOpX78+jRo1MpgS+JdffqFKlSoMHTo0wzjat2/PihUraNCgAT169EBRFDZu3MipU6dwdXU12v+VV15h3rx5fPnll1SoUAGtVkurVq1e+GGpFStWxM7OjhkzZmBjY4OjoyPu7u4Gv9t9fHxo3ry5mmxm5TEEw4YNY+nSpQwZMoTjx49Ts2ZNTp48yYIFC7L8ey8rn1dHR0dCQkIYOHAgNWvWpEePHlhYWPDLL7+oXQDT+jm+bt06KlasKNMBZ4app/8SeVNsbKwyc+ZMpUmTJoqbm5tibm6uFClSRAkICFA+/PBDZd++fQb7pzclsJ2dnVK7dm1l7ty5RtO+pp4SOCNZnRL43LlzStOmTRU7O7s0pwc8ffq00r17d6VEiRKKhYWF4uLiogQFBSmff/65cu3aNaP40pLWNIgp0ptmMa1jMpoSOPW2FGlNkbpr1y6lfv36ir29vWJnZ6c0atRI2bVrV5rxZ3VKYG9vb+Xy5ctKu3btFAcHB8XGxkZp3LixcujQIYN9U16jtKZDTO/eleTpO8ePH6/4+/srVlZWip2dnRIQEKCMHj3a6BxLly5VgoODFQcHB0Wn0yleXl5KixYtlB9//FHdZ+XKlUrr1q2VEiVKKJaWloqTk5NSs2ZNZfbs2QbTDCs5MCWwoijKgwcPlEGDBine3t6KhYWF4urqqnTs2FE5e/as0TliY2OVzz//XClRooSi0+mUChUqKLNnz1amTJmiAEafqfSk9/5K7zXIbIzPew2z8r7O6JjffvtNqV69umJjY6M4OTkprVq1Uv79998039tpbfvtt98ynN4zs/eU3mchvWMSExOVGTNmKLVq1VKKFCmiWFlZKT4+Pkq7du2Mpv/Oyj1m9fVMS3x8vNE05y/KVHUXFxenfPHFF4qXl5ei0+mUcuXKKdOnT0/zfZbWtqSkJGX8+PFK2bJlFUtLS6VYsWLKBx98oDx48MBouviM7jGj93Vavv/+e0Wj0SiXLl1KszwyMlKd/juj32WnTp1S3n77bcXV1VWxsLBQvL29lSFDhiiPHj0y2C+9aXfnzZunVK5cWbGyslLc3NyUd999V7l+/Xqa77M7d+4o7dq1U5ycnBSNRmPwe+dFpgRWFEVZv369Uq1aNcXS0lIB0nyPr127VgGUSpUqpVsf6bl165bSpUsXxcnJSbG2tlbq1KmjbN26Nc24nze1eFY+r4qiKAsXLlQqVaqk6HQ6pVixYsqwYcPUxxg8O/36uXPnFECZOnVqlu+xMNIo2R1FJ4Qo0IKDg7ly5coLTZsrnq9///7MmDGD27dvp9kfXRgaNGgQixYt4uLFi2lOwSqEKURFReHn50e7du1eegtkfrVhwwZatGjBDz/8wMcff2zqcF7IihUrePvttwkNDeWdd95Rt3/wwQesX7+es2fPqpMOiPTljfZdIYQo4KKjo422Xbt2jcWLF1OlShVJSDJpw4YNfPHFF5KQiDzF1taWkJAQZs+ezdWrV00dTr4wZcoUbGxsDGYhy+tiY2ONxp/ExcUxYcIELCwsDMaNXL16lXnz5jF+/HhJSDJJxpQIIcRLEBISwu7du2ncuDHu7u7qrDOxsbEvNLFDYXPmzBlThyBEmrp165av/sA2hbt377Jlyxb27t3Ln3/+yfDhwzM9wD0v2LVrF/3796d9+/b4+PgQFhbG0qVLOXPmDCNHjjSY9tfb25v4+HiTxpvfSFIihBAvwauvvsru3bv54YcfePjwIXZ2dtSuXZsRI0bw6quvmjo8IYTIdadOneLdd9/F3t6enj17Mnr0aFOHlCW+vr5UrlyZxYsXc+/ePczNzalUqRLz5883mlFNZJ2MKRFCCCGEEEKYlIwpEUIIIYQQQpiUJCVCCCGEEEIIk5KkJA2JiYncuHEjVx5yJYQQQgghhDAkSUkabt++jZeXF7dv3zZ1KPlGUlISt2/fJikpydShFBiZqdOrEVfxX+SP/yJ/rkYYT0MZf+UKp8tX4HT5CsTL80bkfZoLpE5zntRpzpM6zVlSnzlP6lSSEiGEEEIIIYSJSVIihBBCCCGEMCl5TokQ+ZilmSVV3aqqy8/SWFpiXa2auiyEEEIIkRdJUiJEPlbUtihLWi5Jt9zC0xOfpb+81JiEEEIIIbJKum8JIYQQQgghTEqSEiGEEEIIIYRJSfctIfKxB7EPmHN8DgDvBbyHs5WzQXnigwfcnzkTANd+/TB3dk7zPEIIIYQQpiQtJULkY5Hxkfx0+id+Ov0TkfGRRuX6iAgeLl7Cw8VL0EdEmCRGIYQQQojnkaRECCGEEEIIYVKSlAghhBBCCCFMSpISIYQQQgghhElJUiKEEEIIIYQwKUlKhBBCCCGEECYlSYkQQgghhBDCpCQpESIf02q0OFk64WTphFaTxsfZzAwzJyfMnJzAzMwUIQohhMgBwcHBDBs2rMBcJy3Vq1dn9OjRJrm2MD15eKIQ+ZiXnRc7O+5Mt1zn5YXfnn9eakxCCJFX/bDlPJq0vsDJBYOb+uXo+VatWoWFhUWOnjMnBAcHU716db777jtThyLyOUlKhMijpm45j3VSFDFmj1A02hz/BSeEECL/cHZ2NnUIeca///7LwoULKV68OPHx8Xh5eXHs2DG+/fZbU4cmXoB03xLChK5evcqff/7J0qVL2bhxIzdu3DB1SEIIIUzk119/pXLlylhZWeHq6krz5s3R6/XwTLeq4OBgBg0axEcffYSDgwOenp789NNPPHz4kA4dOlCkSBEqVarEvn37DM7v4+PDtGnTDLa5urqycOHCNONZv349devWxdHREVdXV9q2bcv169fV8l69erFjxw6+//57NBoNGo2GK1euoNfrGTduHD4+PtjY2BAYGMj69esNzv3kyRO6dOmCra0txYsXZ8aMGZmqowsXLjB06FDGjBnDoEGD+PTTTzl58iTFixfPZC2LvEqSEiFesvj4eKZNm0blypXx8fGhZcuWvPvuu7z22mt4eXlRpUoVpk2bRnxc7HPPFREfwdIzS1l6ZikR8RFG5UkRETz4+Wce/PwzSRHG5UIIIfKGsLAwOnXqRO/evTlz5gxbt26lRYsW6e4/f/58SpQowcGDB+nZsyd9+vShc+fOtG3bliNHjlCxYkW6deuGoijZjik6Opphw4Zx8OBBNm3aRFRUFB07dlTLJ02aRO3atfnggw8ICwsjLCwMLy8vQkJC+Pnnn5kzZw4nT56kX79+tGvXjiNHjqjHDh06lN27d/P777/z559/smbNGs6ePfvcmGbNmkXNmjWxsbFRt1WpUoVmzZpl+z5F3iDdt4R4CSZtPgfApZMHWTrhM8LDrqe77/HjxxkwYAAunl507DeUMq80T3ffh7EPGbdvHAB1itXBXmdvUJ704AF3xn4NQJG6dTGzt0/zPEIIIUwrLCyMxMRE2rVrh7e3NwABAQHp7h8UFMRnn30GwKhRo/jf//6Hn58f7777LgDDhw+nRo0a3Lx5kxIlSmQrpg4dOhisz549m1KlSnHjxg0sLS1xcHBAp9NhY2ND0aJFAYiLi2PcuHFs376dGjVqANC3b1+2bt3KnDlzmDFjBpGRkSxYsIBly5bRqFEjABYtWqTed0acnJyYNGkSLi4uNGrUiMqVK9OmTRt0Ol227lHkHdJSIsRL8vfan5jxSXeDhESr1VKtWjWaNWuGv78/ZqlmyAoPu870UYNYP38S+qQkE0UthBDiZahSpQrBwcH4+/vzzjvvMH/+fCIyaOFOnbCkJAiVKlVSt3l4eABw9+7dbMd0/vx5OnbsSKlSpbCzs6Ny5coAXLt2Ld1jLly4QHR0NA0bNqRIkSLqv1WrVnHx4kUALl26REJCArVq1VKP8/T0zFRSMmTIEPr06cOsWbOoUqUKAQEBhIeHZ/seRd4hSYkQL8GWZbNZPX0s+qREAKytrfniiy+4ffs2hw8fZuPGjRw/fpzr168zevRog2bpv5bNZuHYj4mPjzfhHQghhMhNZmZmbNmyhfXr11OmTBkmTJhAxYoVuXPnTpr7PzsTl0ajMdim0WgA1DEpJH8R9mx3roSEhHRjatWqFREREcyfP58DBw6wbds2SO6GnJ4nT54AsGHDBo4ePar+O3XqFPPnzwdQY0iJMbPi4uKwsrIiJCSEU6dOcfXqVczMzJg7dy779u1j6NChrFq1isDAQKZMmUJoaCg9evTI0jWE6UhSIkQumz59Ouvnfa+uu3v5cujQIcaOHYubm5vBvp6enowaNYrTp0/jU7Gauv3kP3/RoUMHSUyEEKIA02q11KtXj2+++YZjx47x5MkTNm7cmGPnd3Nz4/bt2+r6lStX0m2NCQ8P5+zZs3z55Zc0bNiQ8uXLp9kiodPpSErVml+xYkV0Oh3Xr1+nTJkyBv9SBqOXLl0aCwsL9u7dqx53+/Ztrl69mmH8kyZNMlj38vKifv36ODg4cOfOHb7//nvatGlDXFwcAwYMoGPHjkZd0ETeJWNKhMhF27dv5+OPP1bXS5StxAfjF1KhQoU0908ZewLQ/38LWTX5C/b89TsAv/32G71792bx4sVZ/nZJCCFE3rZv3z62bNlCs2bNcHNzY+fOnTx58oRy5crl2DWCg4NZvHgxb7zxBlZWVnz22WfpjsVwcnLCxcWFWbNm4e7uzqVLl9QxLKn5+Piwd+9erl69iq2tLc7OzgwePJiBAweSmJhInTp1ePToETt37qREiRJ06NABOzs7unfvzrBhw3BycsLZ2ZlPP/0US0vLdGPX6/UsXLiQDz74AAcHBwDu3LnDiRMnCAkJwdbWFoADBw4QFBSk/p58/fXXc6j2RG6TpESIXHLr1i3eeecdtencw7sM74fMw7qIvUHykd7zR8wtdHQd9CWKuSV7N/wKwE8//USFChUYMWLES7oLIYQQL4O9vT07d+5k0qRJPHnyhFKlSjFnzhyDcRcv6vPPP+fChQs0a9YMDw8PJk6cyKFDh9LcV6vVEhoayscff0ylSpWoWLEiEyZMMJrlatiwYXTv3p0KFSoQExPD5cuXCQkJwd3dna+//prLly/j5OREjRo1GDlypHrcxIkTef/992nZsiWOjo6MGDGC+/fvpxv7kSNH6Nu3L1OnTsXKyoqoqCiioqJYtmyZmpAAbN68mebN058gRuRdGuVF5ooroG7cuIGXlxfXr1/P9owVhU1SUhL37t3Dzc3NYLB2YaUoCpVeacjp/TsAsLIpwuDpK3Er7mO0b+qkJHWyolH0WCdFEaWxZtE3Qzi+62kT/oYNG2jevDlXI67yxuo3AFjXdh3e9oaDBOOvXOHia/9NKVl6w5/ofIyvX5jI+zTnSZ3mPKnTnCd1mrPycn0GBwezfPly3N3dTR1KluTlOn1ZZEyJELkgNDRUTUgA3hk6Ls2EJDO0Wi2dPvmWwMBAdVu3bt0M+gULIYQQhdnZs2dZsGAB586d4++//5YxmPmQdN8SIoc9ePDAYBxJYMM3qFLvxZqSLa1tWLlyJVWrVuXx48fcvXuXHj16sG79OnZ32g2Arbmt0XEWXl747f/vib5aW+NyIYQQoiAoV64c5cqVo2fPnqYORWSTJCVC5LBvvvlG7Rdra+9Imw/+L0fOu/p8PG0GfMWirwcCsHHjRrp+9h01m7Uz2C91dzCNmZk8MFEIIYQQeZ4kJULkoMuXLzNt2jR1/fXewyji6JzhManHkTxPlfqvUaNpWw5sXg3A2pkhlA96FXuX/NV3VgghhBAiNRlTIkQO+r//+z+1H2tRHz+jVoyc8Ob7n2Hn5ApAbHwka34fzc3YYyTq44z21cfE8GT3bp7s3o0+JibHYxFCCCGEyAmSlAiRQ86cOUNoaKi63qrPMLS5MIOGrb0j7T76b1pFCycLEpvdYeODr4jSGz/UKvHOHa737sP13n1ITOepwEIIIYQQpiZJiRA5JCQkhJQZtuvWrUv5GvVz7VoBrzbDL7CuwTYlSZ9r1xNCCCGEyE2SlAiRAy5fvszPP/+srv/f//1frj51XaPR0PbD/0OrfdoSc+Kfzbl2PSGEEEKI3CRJiRA5YNKkSSQlJQEQGBjIa6+9luvX9ChZmqDGb6rrf69eTHxcbK5fVwghhBAip0lSIsQLioiIYMGCBer6Z599lqutJKnVadXpaRwP7/P3msUv5bpCCCGEEDlJkhIhXtCiRYt48uQJAF5eXrRt2/alXdvGzsFgfdvyeURGRr606wshhBBC5ARJSoR4AXq9nqlTp6rrH374Iebmpnv8T3TkI2bOnGmy6wshhCjYRo8eTa1atUwdRp6zfft2NBqN+iVlZjx58gSNRsP27dtzNbbUNBoN69ate2nXywpJSoR4Adu2beP8+fMAWFpa0qdPH1OHxHfffUeMPJNECCFEFixcuBBXV1dThyFyWVhYGE2bNgXgypUraDQaTp48aeqwQJISIV7MJ99MVpf967V46T/Qbc1caeU6ntfsRmMRbwPA3bt3mTNnDgDmnp74rFiOz4rlmHt6vtTYhBBCiLwk5eHGhVnRokWxtLQ0dRhpkqREiGx6+PAhJ3ZtUtdrvdaeSZvPqf9eBnONDjddGYrZ+VP/ze7q9pFjxzFh/Um0lpZY+/tj7e+PNo/+EBJCiNymKApxcXEm+Zfy/Krn0ev1jBs3Dh8fH2xsbAgMDGT9+vVqWXBwMK1atVL3v3PnDu7u7kycOBGAe/fu0bFjR4oXL46NjQ1Vq1Zl7dq1BteIjY1l2LBhlChRAisrK8qVK0doaCjbt2+nZ8+ehIeHo9Fo0Gg0jB49OtNxjxo1iuLFi2NpaUn16tXZsWOHwT5r166lTJkyWFtb07x5c2bPnv3cCWF69OhB+/btGTduHO7u7ri7u/PFF18Y7HPlyhVatWqFra0tjo6OdOnShYcPHxqd46uvvsLT05PAwEC1deDXX3+lTp06WFtbU7t2ba5evcq2bdvw9/fHzs6Od955h6ioKPVc69evp27dujg6OuLq6krbtm25fv16puooxdmzZ6lXrx5WVlb4+/vz999/G+1z8uRJXnvtNWxtbfH09KRPnz48fvxYLQ8ODmbw4MEMHjwYR0dHSpQowfTp09Xy+Ph4+vfvT9GiRbGyssLX19egm3nq7lulSpUCwN/fH41GQ3BwMLt370an03Hv3j2DuHr37m3w/ssNkpQIkU1Lly4lMeG/b11ci3nj61/dpPG82roLVjZFAHh8/w4HNq82aTxCCJFXxMfH4+Pjg62tLVZWVi/1X2a/nQ8JCeHnn39mzpw5nDx5kn79+tGuXTuOHDmCVqtl8eLF/P3338yaNQuAXr164e/vz+DBgwGIiYmhZs2arF+/nhMnTtClSxfat2/P6dOn1Wv069ePlStX8uOPP3Lq1CmmTJmClZUVderUYfLkyTg7OxMWFkZYWBjDhg3LVNyTJk3ihx9+YPLkyRw7doy6devSsmVLbt68CcmJQ4cOHejQoQNHjx6lc+fOjBw5MlPn3rx5M3fv3uXvv/9m8uTJjBs3jo0bN0JyMtS6dWsiIyPZtWsXf/zxB8eOHaNnz54G59i4cSNXrlxhy5YtLF++XN0+cuRIxowZw4EDB4iNjaVTp06MGzeOBQsWsHHjRrZt28bkyU97Q0RHRzNs2DAOHjzIpk2biIqKomPHjpm6j5R427Zti42NDfv37+eHH37gk08+Mdjn8ePHNG3alJo1a3L48GHWrVvHuXPn6NGjh8F+8+fPx8PDgwMHDjB48GAGDBigvs5Tpkzh999/59dff+Xs2bPMnz+fYsWKpRnT/v37IXk8TFhYGKtWraJu3bqULl3a4Nlr0dHRrFixwqhuc5rpRuQKkc+lnga4ZvO3Xto0wKnplUSikh4AYGvrTL02Xdn8y48AbAmdRfy4ofDgv2+NLDzc0VhYvPQYhRBCZCwuLo5x48axfft2atSoAUDfvn3ZunUrc+bMYcaMGZQsWZJp06bRr18/Lly4wD///MPx48fV3z0lS5ZkyJAh6jmHDRvGunXrWLlyJV988QWXL19m8eLFbN++nfr16wPg6+ur7u/g4IBGo6Fo0aJZiv37779nxIgRdOjQAYDJkyfz119/MWPGDL755htmzpxJxYoVCQkJAaBcuXIcPnyYH3744bnndnNzY9KkSWg0GsqVK8e0adPYtm0bzZs356+//uLUqVNcuXKF4sWLAzBv3jxq1arF+fPnKVu2LAD29vbMmjULi+Tff1euXAFg+PDh6tiK/v37895773HkyBGqVq0KwNtvv822bdv4v//7PwD1/lLMnj2bUqVKcePGDUqUKPHce9m8eTMXLlxg27ZteHh4QPKkAanPO3/+fKpXr85XX31lcJ0KFSpw9+5d3N3dAQgKCuKzzz4DYOjQoXz//ffs2LGDChUqcO3aNcqWLUvdunXRaDR4e3tnWL8ALi4uBq97r169WLBgAYMGDQJg5cqVWFpaSkuJEHnRuXPnOHjwICQ3hVZv2sYkcUQm3WXF3Q9YcfcDIpPuUq9tN3RW/40teXDnJn8sWsTFJk242KQJCcnfWgkhhMhbLly4QHR0NA0bNqRIkSLqv1WrVnHx4kV1vy5dutCsWTO+++47pk2bhpeXl1qWlJTEV199hb+/P87OzhQpUoRdu3Zx7do1SO4WZG5uzquvvppjcUdERBAWFkbdunXVbRqNhjp16qjf3J89e5aaNWsaHJd6/dq1awb3PG7cOLWsUqVKBl/4eXp6cvfuXQBOnz6Nj4+PmpAA1KhRA51OZ9A6FBAQoCYkqQUEBKjLKUlCpUqVDLalXAvg/PnzdOzYkVKlSmFnZ0flypXV+DPjzJkz+Pj4qNcCqF27tsE+p06d4q+//jKoj+rV/+uFkfp94O/vb3Bc6nrp1q0bhw8fpnz58gwaNIitW7dmKr7UunXrxqlTpzhy5AgkT4LQuXPnNOsxJ2UrKUlISGDkyJGULFkSKysrAgIC+OWXXzJ1rKIo/PDDD/j5+WFpaYmfnx9Tpkwx6nMZFhbGZ599RuPGjdXsPTQ01Oh8er2eRYsW0bZtW7y9vbG0tMTLy4sPP/yQ8PDw7NyeEM+1dOlSdbl0QE0cXT0y3P9lKeLgTK3X3lLXFy1aZNJ4hBAiL9DpdFy5coWoqChiY2Nf6j+dTvfc+FKmkd2wYQNHjx5V/506dYr58+er+0VGRnLs2DHMzMzUmR9TTJgwgWnTpvH555+zbds2jh49Sr169Qy6j+V0i37K327PnldRFHVb6uVnjwMoVqyYwT3369dPLXv2j2CNRoNer3/u/aTebmtrm+Y+qc+dsv+z21Jfq1WrVkRERDB//nwOHDjAtm3bIAuD59Oqh2dFRUXRunVrg/o4evQo58+fV1twno3z2VirV6/O5cuXGT16NBEREbRu3Zr33nsvUzGm8PDw4PXXX2fBggVcu3ZNHXOU27LVfatv374sXryY/v374+/vz5o1a+jcuTOJiYl069Ytw2O/+uorRo8eTdeuXfn000/ZsWMHAwcO5NGjRwZ9DM+ePcv48ePx9fWlatWq7Ny5M83zRUdH06NHD6pXr07v3r0pVqwYx48fZ/bs2WzdupWDBw9SpEiR7NymEGlSFMUgCQ9slLvNmVn1auuu7Fr7E4qicOTwYfAtbeqQhBDCpDQaDZaWllhaWmJmZmbqcIxUrFgRnU7H9evXM2zJGDhwILa2tvz222+0adOGli1bqq0Ou3fvpm3btrz77ruQ/AXyhQsX1O47/v7+JCQksGvXLrX7Vmo6nY6kpKQsxe3g4ICnpye7du2iTp06kPw7cs+ePeqDhMuXL6+OA0mR0tMAwNzcnDJlymTpugAVKlTg8uXL3Lp1Sx0zceDAAeLj4ylfvnyWz5eR8PBwzp49y4IFC9TWjQ0bNmQr3tTdsPbu3WuwT+XKldmyZQulSpV6ofepo6MjnTp1olOnTjRv3pwuXbowa9YstFrDtoiUhDmt171379707NkTBwcHqlSpQpUqVbIdT2ZlOSk5cuQICxcu5KuvvuLLL78EoE+fPjRq1IhPPvmEjh07pvutwO3btwkJCaFXr17MmzdPPdbMzIxx48bRt29ftU9bUFAQ9+/fx8XFhe3bt9OwYcM0z6nT6fj777+NPsR16tShU6dOLFiwgAEDBmT1NoVI15EjRzh37r/ZtczMLQh4tZmpQzLgVtybirWC+XfvNlOHIoQQIhPs7OwYPHgwAwcOJDExkTp16vDo0SN27txJiRIl6NChA2vWrOGXX35h//79BAQE8OGHH9K1a1eOHDmCjY0NZcuWZdWqVezduxc7Ozu+/fZbg1mbfHx86N69Oz169OCHH36gcuXKXLp0iSdPntC6dWt8fHx4/Pgx27dvp3LlytjY2GBjY/Pc2IcOHcrYsWPx9fXF39+fGTNmcOXKFT788EMA3n//fSZOnMj//d//0b17d/bv359mz5esatKkCRUrVqRz585MnDiRmJgY3n//fVq3bq2OJ8kpTk5OuLi4MGvWLNzd3bl06ZI6piOzmjZtiq+vL927d2f8+PGEh4czZswYg3169uzJL7/8QufOnRk2bBhOTk6cPXuWNWvWMHv27ExdZ9KkSRQrVoyqVauiKApr1qyhbNmyRgkJgLu7O9bW1mzYsAFPT08sLS1xcHAAoGXLluh0OsaPH8/333+fpXvNrix331q+fDlarZb+/fur2zQaDR999BF3795Vm7PSsnbtWuLi4oyShAEDBhAXF2cwdZ2dnR0uLi7PjUen06X5rULbtm3RaDT8+++/Wbg7IZ5v2bJl6nL5GvWwsXMwaTxpqde2eyb2EkIIkVeEhITw2Wef8fXXX1OhQgVatmzJli1b8Pb25s6dO7z33nuMHTtWHQvx7bffYmFhoc6S9cUXX1C1alWaNGlCkyZNKFeuHM2aGX5pNmPGDLU7T4UKFfjoo4+Ii4uD5C9z33//fdq3b4+bmxv/+9//MhV3SjL18ccfExAQwO7du/njjz/U1otSpUqxfPlyli1bRkBAAEuWLOGzzz7DysrqhepLq9Wydu1aihQpwquvvkqLFi2oUqWKwSQ0OUWr1RIaGsr+/fupVKkSw4cPZ8KECVk+x5o1a4iIiKBGjRp89NFH6uD/FJ6enuzYsYPY2FiaNGmCv78/n3zyiTogPTNsbW0JCQkhKCiIV155hYcPH7Jy5co09zU3N2fKlClMnz4dT09PWrdurZaZmZnRtWtXNBqN2vqW2zRKZifQTtasWTOuXLmiflOc4saNG3h5eTFu3Dg+//zzNI9N6fYVHR1tkLHp9Xqsra3p0aOHOtVdaiktJUuXLs309GtXr17Fx8eH//u//+Prr7/OcN+IiAgiIiLU9bCwMGrWrMmVK1cyNaOC+K/p7/79+7i6uubJpvGcoigKFSpU4MKFCwB0Gf4/gnKp+5ZG0WOVFE2smQ2KJu3vDx4nhvHrvY8BaO82BQdzTzXOCf1ao7t5hT+Tu2/5/LEeXQazcBQGheV9+jJJneY8qdOcJ3Was160PkeMGMEff/zB0aNHcyW+/Cgvvkd79OhBbGzsC7dsZfZ+stx969atW3im8WTolIz41q1bGR7r4eFh1ISk1Wrx8PDI8Nis+uabb9BoNLz99tvP3XfixIlGTWgk9yHMq0+9zGv0er3aTJxWE2FBcerUKTUhsbCwIKh6TayTop57XPYoWCqxoAdIe3BcXFK0umyVFI215mksjd58m10/Pv2m6/bt21hnoim+ICss79OXSeo050md5jyp05yV1fqcP38+gYGBODo68s8//zBt2jSGDRtm9IC+wiwvvUcjIiI4fPgwK1asIDQ09IVfp8xOM53lpCQmJibNP9S1Wi0WFhbExMRk+VgAKyurDI/NitDQUObMmcOgQYMMpnxLz5AhQ+jTp4+6ntJS4uLikqUms8IsZZBUXsrwc8P27dvV5caNG4O9BznzrjWmUfSgQKw2/ZaSWOVpkhFrZkOM2dNZRgIav8XBxT+q63v37uXtWrVyKdr8obC8T18mqdOcJ3Wa86ROc1ZW6zMsLIxevXrx4MEDfHx8GDVqFIMHDzb5H995SV56j77zzjscPHiQjz/+ONefTZJalpMSKysrtf9hanq9noSEhAz7CKZ3LEBsbOwL9y8E2LZtGz169OC1117LdH9Ie3t77O3tjbabmZmZ/I2Rn2i12gJfZ2vWrFGX33rrLSLTSRZyjEaDotGmm5RYmTnRwHGgupx6PwtrW0o3acOnG38FIObXX+mU6sFahVVheJ++bFKnOU/qNOdJneasrNTn1KlTmTp16kuJKz/LK+/RHTt2mOS6Wf6LqlixYoSFhRltT+l6ld6j7FPK7ty5YzDvM8kJzZ07dzI8NjP2799P69atCQoKYuXKlbn+kBdRuFy8eJETJ05A8g+O1APCTEWntaG0TX1K29RHpzXumlWt1busi4xgXWQEW/bskYkfhBBCCJEnZTkpCQwM5OLFizx48MBg+759+9TyjI6Ni4vj+PHjBtuPHDlCfHx8hsc+z4kTJ2jRogU+Pj6sW7cuU9PYCZEV69atU5d9Kgby09GHJo0nM1w8vfALfPqk3Tlz5pg0HiGEEEKItGQ5KXn77bfR6/XMmDFD3aYoCtOmTcPNzU19nsj9+/c5c+YM0dFPB+K2bt0anU7HtGnTDM45depUdDpdtr95vnDhAk2bNsXR0ZGNGzfi5OSUrfMIkZHUSUnFV9J+bk5eVLvl08keFi9eTGxsrEnjEUIIIYR4VpbHlAQFBdG1a1dGjRrFvXv31Ce6b9++nfnz56sD2adNm8aYMWPYtm0bwcHBkNx9a/jw4YwdO5aEhATq16/Pjh07WLJkCSNHjjSa1StlKt/Lly8DsHr1anXmoy+++AKAyMhImjRpwt27dxk9ejRbtmwxOEfp0qXVp28KkV0REREGfSwr5ZGk5HHiLVbdHQRAO/fJOJgbdoG0uXuLT1bOZqhfOVpdvsTV5PnKO3fubKKIhRBCCCGMZTkpAZg7dy7e3t4sXLiQmTNn4ufnx5IlS+jSpctzjx0zZgxOTk5Mnz6d0NBQvLy8mDhxIoMGDTLaN+WJ8SmWL1/O8uXLIVVSEh4eztWrVwEYNWqU0Tm6d+8uSYl4YZs3byYhIQGSu0S5e/maOiSVQlKG5Vp9ElrN0ymFZ8+eLUmJEEIIIfKUbCUlOp2OsWPHMnbs2HT3GT16NKNHjzbartFoGDx4MIMHD37udTLzXEcfH59M7SfEizDoulUrGI0m7eeG5Ac7d+7kzJkzlC9f3tShCCGEEEJAdsaUCFHYKIrCyt/Wq+sVawabNJ7sKlm+irrc74vMTZcthBBCCPEySFIixHP8+++/RD7472mm5jpLfANqmDqkbKkW/Lq6fOivtWp3NCGEEEIIU5OkRIjn+Ouvv9Rl38rVsdBZmjSe7PILrIN1kf8eEvrk8QM2bNhg6pCEEEKILNuzZ49McV8ASVIixHNs3rxZXfYLzL+TJphb6KjaoIW6vmjRIpPGI4QQQjxPWFgYZ8+eNdi2bds2qlatarKYRO7I1kB3IQqL+Ph4g6mAUz+IMD+q0bQte9YvA+D333/nwYMHODs7mzosIYQQBcS///7LwoULKV68OPHx8Xh5eXHs2DG+/fbbbJ1v2bJl+Pj4UK5cOXr16kWfPn1Yt24dFStWpFKlSvKw7AJEWkqEyMDevXuJiooCwNbBiWK+eWvGKkutHVWLvE3VIm9jqbUzKk+wLcKFFh250KIjCbZF8K5QFbcSPpCccIWGhpogaiGEEGkJDg5m0KBBfPTRRzg4OODp6clPP/3Ew4cP6dChA0WKFKFSpUrs27dPPUav1zNu3Dh8fHywsbEhMDCQ9eufTs6yfv166tati6OjI66urrRt25br168bXTdlZlRHR0dKlCjB9OnTsxz/hQsXGDp0KGPGjGHQoEF8+umnnDx5kuLFi2e7Tvbu3UuTJk2IiYkhNjaWwMBAfHx8aNOmjSQkBYwkJUJkIPV4krJVa6PV5q2PjJXWjkD7dwi0fwerNJMSey607MSFlp1IsLVHo9FQo2lbtVy6cAkhCpP4q1eJv3Il3X9Jjx4Z7n/jZob7J967Z7B/wp07all2zZ8/nxIlSnDw4EF69uxJnz596Ny5M23btuXIkSNUrFiRbt26qY9DCAkJ4eeff2bOnDmcPHmSfv360a5dO44cOQJAdHQ0w4YN4+DBg2zatImoqCg6duyY5nU9PDw4cOAAgwcPZsCAAZw+fTpLsc+aNYuaNWsaJAtVqlShWbNm2aoLRVF48OABRYoUYe3atQQHB/PTTz9Rp04dLl68KI+EKGCk+5YQGTAcT1LHpLHklKDGrflz4WQURWH//v3yzBIhRKFxpeXrGZa7DRqIa79+6vq13r1IuHot3f0d2rSh2Lch6nrYyJFE7dgJQIUzWfuDPkVQUBCfffYZJD8U+n//+x9+fn68++67AAwfPpwaNWpw8+ZN3NzcGDduHNu3b6dGjf9mhuzbty9bt25lzpw5zJgxgw4dOhicf/bs2ZQqVYobN25QokSJNK87dOhQvv/+e3bs2EGFChUyHbuTkxOTJk3CxcWFRo0aUblyZdq0aYNOp0v3mMTERCZMmECRIkWwtrYGoE+fPgCcPHkSR0dHNmzYgLOzM7GxsVhYWBAXF8fNmzcpXbp0FmpW5HWSlAiRjsePH7N//351vaAkJU7unpSp+grnj+yB5NaSkJCQ5x4nhBAi9wUEBKjLlpaWODg4UKlSJXWbh4cHAHfv3uXx48dER0fTsGFDg3PEx8er286fP8+XX37Jvn37uH//vtq6cO3aNYOkxN/f3+Acnp6e3L17N0uxDxkyhMjISGbNmsXgwYOpVKkSmzZtwtPTM91jevfuTVBQEAMGDODRo0dMmTJFLdu5cycDBw6kbt38PZ5TZI4kJUKkY9u2bej1egBci3nj7JH9PrG55UniXTY9+AaAZs7/RxFzd4Nyqwd3CfrxKwAOfTCSWOf/yms0baMmJUuWLOHrr7/GzMzspccvhBAvk88f6zHLoBuumaOjwXrJefMhMf1nOmltbQ3WPb/6CiUm5oVitLCwMFjXaDQG2zQaDSSPJXny5AkAGzZsoGjRogbHpbQ6tGrVCl9fX+bPn4+npyeRkZHUrFmT+Pj451435XdgZsTFxWFlZUVISAghISFcv36dVq1aMXfuXL788kuio6MZN24cDRs2ZM+ePXzxxRecPn2aX3/9laZNm7JkyRKSkpL45JNP1HOePXuW3r17ZzoGkb9JUiJEOlKPJ8mrrSRJJPIo8Ya6/CxtYiJ2t6+ryyn86zZDZzWG+Nhobt68yc6dO42+aRNCiIJG5+2dpS9gdCWy9mWURXIrxstSsWJFdDod169f59VXXzUqDw8P5+zZsyxYsIDatf+b0j63nlE1adIktfsXgJeXF/Xr18fBwQGAxYsXU7FiRRo3bsz27dvZuXMnYWFhBAQE0KVLlzTPmbrVRBR8eWvUrhB5SEEcT5LC0toG/7pN1PWlS5eaNB4hhBBZZ2dnx+DBgxk4cCBLlizh4sWLHDp0iEmTJrFixQqcnJxwcXFh1qxZXLx4kc2bNxskDjlFr9ezcOFCHj9+rG67c+cOJ06cUFs6Tp8+TcmSJQEoWbIkx44dw8/PD0vLpw8kTkpKYvHixTken8gfpKVEiDTcuHGDc+fOAaDVailTpZapQ8px1Rq+waEtvwHw66+/Mm3atAwHIwohhMh7QkJCcHd35+uvv+by5cs4OTlRo0YNRo4ciVarJTQ0lI8//phKlSpRsWJFJkyYkO3ZsNJz5MgR+vbty9SpU7GysiIqKoqoqCiWLVuGbXIXt6SkJMzNzdVlMzMzqlWrRqtWrZgyZQpOTk5ER0fz1ltv5WhsIv+QpESINPz999/qcrVq1bCxczBpPLmhXGAdbO0diYp4xMOHD9m0aRNvvPGGqcMSQohCa/v27Ubb7t+/b7BeokQJg6lwNRoNQ4YMYciQIWmes0mTJpw6dcpg27NT6aZ13YMHD2Y67qCgIIKCgjLcx9/fn1u3bgFw8eJFXnvtNUie6UsIpPuWEGlLnZTUq1fPpLHkFjNzCwLqNVfXpQuXEEKI3NK5c2eOHTvG1q1b0Wg0Mo5RGJGWEiHS8GxSctWk0eSewIat2LN+GQBr1qwhKipKbWoXQgghckqRIkUYM2YMAI0aNTJ1OCIPkpYSIZ7x4MEDTp48qa6nNaNJQVGqchCOrv9NIxkdHc3vv/9u6pCEEEIIUQhJUiLEM3bv3q0ulytXDnd39wz3NyULjTW+1vXwta6HhcbaqDzRyppb1etzq3p9Eq2My7VaLVWDW6rrX0+Zk+sxCyGEEEI8S7pvCfGM/DSexMbMiWCnQemWx9s7cbx7xoMIqwW/zvZf5wNw5sDfPHz4ECcnpxyPVQghhBAiPdJSIsQzUiclUU5lmbT5nEnjyW0lylbCrYQPAEmJCaxatcrUIQkhhBCikJGkRIhUoqOjDaZB9K2c8RSHBYFGo6Fa8NOpgH/55ReTxiOEEEKIwkeSEiFS2bdvH4mJiQA4uHrgXLSEqUPKUHTSA/568C1/PfiW6KQHRuWWj8OpNnsc1WaPw/JxeLrnCWz4urq8bds2wsLCci1mIYQQQohnSVIiRLJJm88xfuFqdd23cnU0Go1JY3qeBCWWa7EHuBZ7gAQl1qjcLC4OjxP78DixD7O4uHTP4+7lS/EyFSH5oVrLly/P1biFEEIIIVKTpESIVC6fOKQuF4auW6kFNpQuXEIIIYQwDUlKhEiWlJTIldNH1fVS/tVNGs/LVrXB06mB9+/fz5UrV0wajxBCCCEKD0lKhEh288Ip4mOjAbC2c6Cod1lTh/RSObl7UqpSoLr+66+/mjQeIYQQQhQekpQIkezyv4fV5VIVA9FqC9/Ho0r919TlFStWmDQWIYQQIi/Ys2cPW7duZerUqaYOpUArfH91CZGOq6ePqcs+FauZNBZTCXi1ubq8f/9+rl69atJ4hBBCiOf5448/iI01nuwlpxw6dIjg4GDOnDljVLZt27Z0f1dev37d4DEDImOSlAiR7NqZp0mJd/kAk8ZiKo5uRaldu7a6Ll24hBCi4KlevTqjR49W14ODgxk2bJhJY8quLVu2ULx4caysrHLtGh999BFxcXG4u7sblZ07dw5vb28uX75MaGgos2fPZsyYMQB4eXlx9uxZg2n29+zZw5w5c3It1vxMkhIhgDt37vDgzk1IfpigVzl/U4eUKWZY4GpRGleL0phhYVSuN7fgcckyPC5ZBr25cXlaOnTooC5LFy4hhCj4Vq1axahRo0wdRrZs3ryZKlWqqOthYWGcPXs22+c7cOAAw4cPp1GjRgwcOJDdu3cDsGbNGj766CODfR8+fIiTkxMAa9euRafT0bdvXw4dOqS2qrRp04a5c+eqx2zbto2qVatmO76CzNzUAQiRF+zbt09d9vAui5VNEZPGk1lFzN140+1/6ZbHOrux55Pvs3TO9u3bM2TIEEiul2vXrlGyZMkXjlUIIUTe5Ozs/NKu9e+//7Jw4UKKFy9OfHw8Xl5eHDt2jG+//TbL54qPjyfumWdwLVu2DB8fH8qVK0evXr2YO3dupseIXr16laVLlzJx4kRCQkJo3rw5gYGBzJ49m8OHD3PkyBH+97+nv3PXrVvHW2+9BcCgQYPU7U+ePKFEif8evmxra8u9e/cA+Oeff1i3bh0VK1akUqVK2NjYZPmeCzJpKREC2Lt3r7rsXaFKhvsWdL+eicG7wtNvcaQLlxBCvBzBwcEMGjSIjz76CAcHBzw9Pfnpp594+PAhHTp0oEiRIlSqVMngizS9Xs+4cePw8fHBxsaGwMBA1q9fr5Y/efKELl26YGtrS/HixZkxY0aa103dfWv9+vXUrVsXR0dHXF1dadu2LdevX1fLGzVqxMiRIxkyZAiOjo6UKFGC6dOnP/f+Lly4wNChQxkzZgyDBg3i008/5eTJkxQvXjxb9RUeHo6tra3Btr1799KkSRNiYmKIjY1VE5LHjx8zc+ZMo3/bt29Xj503bx79+/cHIDIyEldXVwD69u3LzJkzDRISgKioKKPEYuHChYwZM4YiRYoY7AcQGBiIj48Pbdq0kYQkDZKUCPFMS4l3+cKdlABUqfd0Fi5JSoQQ4uWZP38+JUqU4ODBg/Ts2ZM+ffrQuXNn2rZty5EjR6hYsSLdunVDURQAQkJC+Pnnn5kzZw4nT56kX79+tGvXjiNHjgAwdOhQdu/eze+//86ff/7JmjVrntu9KTo6mmHDhnHw4EE2bdpEVFQUHTt2NNgnNDQUDw8PDhw4wODBgxkwYACnT5/O8LyzZs2iZs2aBn+QV6lShWbNmmWrrpycnIiMjFTXFUXhwYMHFClShLVr1xIcHMyFCxcAcHBwoF+/fkb/goOD1eP1ej1OTk5EREQQFxeXYS+BQ4cOERgYaLBty5Yt1KxZk8qVK3Pz5k11u7n5fx2Tdu3aRZ06dbh48aL6+omnpPuWKPSSkpLYv3+/up6fkpKYpMeceLIGAP8ibbA2czAot4h8jO+WVQBcatyOBDuHNM/zrIB6zfht9n9N6Xv27OH69et4eXnlePxCCPEyXY24ipmZWbrljpaOOFg+/Tl588lNEvWJ6e5va2GLq7Wrun4n6g6xSf/NAuVt752tGIOCgvjss88AGDVqFP/73//w8/Pj3XffBWD48OHUqFGDmzdv4ubmxrhx49i+fTs1atSA5G/1t27dypw5cxg/fjwLFixg2bJlNGrUCIBFixbh7Z1xbKnHFgLMnj2bUqVKcePGDbVbUkBAAMOHD8fMzIyhQ4fy/fffs2PHDipUqJDueZ2cnJg0aRIuLi40atSIypUr06ZNG3Q6XYbxJCYmMmHCBIoUKYK1tTUAffr0wcrKCguLp+MlT548iaOjIxs2bMDZ2ZnY2Fh1/8z49NNP2blzJ1qt9rndyfbt28eHH36orq9bt44RI0bg7u5OREQEW7duheQWl5Tfn2ZmZmg0Gm7evEnp0qUzHVdhIUmJKPROnz7NkydPALC0tsGjZP75QRGvRHEy6jcAytk2xZpnkpKYKEpt+S9puV6neaaTEmeP4pQsF8C1s8cBWLlypUF/WSGEyI9a/9Y6w/IB1QbQN6Cvut53U1+uRV5Ld/83S7/JN69+o66P2TOGv2/+DcCJ7ieyFWNAwNPZHy0tLXFwcKBSpUrqNg8PDwDu3r3L48ePiY6OpmHDhgbniI+Pp2HDhly6dImEhARq1aqllnl6ej43KTl//jxffvkl+/bt4/79++q3+teuXVOTkvLlyxsc4+npyd27dzM875AhQ4iMjGTWrFkMHjyYSpUqsWnTJjw9PTM8rnfv3gQFBTFgwAAePXrElClT1LLatWtz+vRpKlSowM6dOxk4cCB169bN8Hzpsbe354033njufjExMUbdr9544400j/3111/p06cPAA0bNjR6rcRT0n1LFHqpx5OULBeANoNv0QoTeZCiEEK8fKm/+Sd5RsjU2zQaDSR3NUr5Qm3Dhg0cPXpU/Xfq1Cnmz5+vJhMpx2RWq1atiIiIYP78+Rw4cIBt27ZBcrKTUZx6vT7dc8bFxWFlZUVISAinTp3i6tX/Wq1Sz0yVltOnT/Prr7/i7OzMkiVLWLNmDZ988ola/tZbb3H06FFiY2M5e/YsQUFBWbrX7Ni0aVOmkperV6/i5+dH0aJFcz2mgkBaSkShl3o8Scl81HUrt1Wp15zf5/w3qO+ff/4xaLYXQoj8aO2ba5/bfSu12c1mP7f7Vmqjao9Su2+9DBUrVkSn03H9+nVeffVVo3J7e3ssLCzYu3cvbdu2BeD27dsZPhg3PDycs2fPsmDBAvW5VRs2bHjhWCdNmqR2SyP5GR7169fHweG/Fvzo6GjGjRtHw4YN2bNnD1988QUAx48fJyAggC5duqR77k6dOgEYtKDkptatM25xS+Ht7f3cVinxVLZaShISEhg5ciQlS5bEysqKgIAAfvnll0wdqygKP/zwA35+flhaWuLn58eUKVOMBvyEhYXx2Wef0bhxYxwcHNBoNISGhqZ73gsXLtC6dWscHBywt7endevWXLx4MTu3JwoZg5m3CulDE9PiXLSE2keZ5C5cQgiRn3nbe2f4L/V4EoDiRYpnuH/q8SQAHrYeatnLYGdnx+DBgxk4cCBLlizh4sWLHDp0iEmTJrFixQrs7Ozo3r07w4YNY/v27Rw/fpwePXpgaWmZ7jmdnJxwcXFh1qxZXLx4kc2bNxskE9mh1+tZuHAhjx8/VrfduXOHEydO0Lt3bwAWL15MxYoVady4MXFxcezcuRNA/XsxRVJSEosXL36heETelK2Wkr59+7J48WL69++Pv78/a9asoXPnziQmJtKtW7cMj/3qq68YPXo0Xbt25dNPP2XHjh0MHDiQR48eMXLkSHW/s2fPMn78eHx9falatar65kzL7du3qVevHhYWFurDfyZPnky9evU4cuSI2v9SiGdFRkby77//quvSUmKoffv2HDhwAJK7cA0cONDUIQkhhEglJCQEd3d3vv76ay5fvoyTkxM1atRQ/6aaOHEi77//Pi1btsTR0ZERI0Zw//79dM+n1WoJDQ3l448/plKlSlSsWJEJEyZke4YsgCNHjtC3b1+mTp2KlZUVUVFRREVFsWzZMnVK39OnT6sD7EuWLMmxY8eoX78+1apVo1WrVkyZMgUnJyeio6PVZ4OIgiXLScmRI0dYuHAhX331FV9++SUkz4DQqFEjPvnkEzp27JjuLAq3b98mJCSEXr16MW/ePPVYMzMzxo0bR9++fdV+d0FBQdy/fx8XFxe2b9+e4cCgkJAQHjx4wKlTp9TZDFq1akWlSpUICQlh8uTJWb1NUUgcOHBAbaVz8iiOvbObqUPKUyKKPu2bu3v3bsLCwp47IFEIIUT2pH5mRopnE4gSJUoY9C7RaDQMGTJEfejts+zs7Ix6szz7ZPJnr9ukSRNOnTplsC31Nbdu3ao+EDDFwYMH072voKCg5471SEpKUqfOTUpKMuhmN3To0AyPFQVDlrtvLV++HK1Wqz5chuQPxEcffcTdu3fVwVBpWbt2LXFxcQwYMMBg+4ABA4iLi2Pt2rXqNjs7O1xcXDIdU4sWLQymVytbtizNmzdn+fLlWbxDUZjI80ky5uLpRYkyT2d9WbNmjUnjEUIIUTD5+/tz69YtAC5evEi5cuVMHZJ4ybLcUnLo0CFKly6Ns7OzwfaU6eYOHz5M8+bN0z3W0tLSYLo7gGrVqqHT6Th8+HBWw+HWrVvcvn2bmjVrGpXVqlWLdevWPffb3YiICCIiItT1sLAwSM7Uk5KSshxTYZSUlIRer8939WU4nsQfjZL+zCEvm0bRg6JkGJNWAZ3GRl023lchwdpGXc7O/QXUbcKNC/91cVu5ciV9+/Z97jF5VX59n+ZlUqc5T+o050md5qzcqM+OHTvy3XffYWdnh6Io1K9fv1C9XgX5PZrR5BKpZTkpuXXrVpp/4BcrVkwtz+hYDw8PtFrDBhqtVouHh0eGx2Z0TpLnx84opoySkokTJzJmzBij7eHh4RkOBhNP6fV6dQDbs69vXpYyXgKgbJmyWCdFmTQeQwqWSizoAdKeztFaY0dftxlPNzwbv7M9e8bNfrp/Nu6vRu1X+WPRD5DcxH/u3DmcnJyyfJ68IL++T/MyqdOcJ3Wa86ROc1Zu1WdKLxx/f3/Cw8Nz7Lz5QUF+j2Z2SuQsJyUxMTFp/qGu1WqxsLAgJiYmy8cCWFlZZXhsRuck+QFDaZ0z9T7pGTJkiPpgG5JbSmrWrImLiwtubjLGIDNSMntXV9dMZ8Smdvv2bbVVTKvV4upXjRgzm+ce97L811ICsVobFI3pfkA5lqqMu5cvd69fIikpib179z53Qou8Kj++T/M6qdOcJ3Wa86ROc5bUZ86TOs1GUmJlZUVcXJzRdr1eT0JCgpoIZOVYgNjY2AyPzeicJD+UJ61zpt4nPfb29tjb2xttNzMzK7RvjOzQarX5qs6OHj2qLleoUAGddRGUDI8wAY0GRaM1aVICEPBqM/5aOhOSx5X07NnTpPG8iPz2Ps0PpE5zntRpzpM6zVlSnzmvsNdplv/SKVasmPrtcmop3ahSukyld+ydO3eMnvip1+u5c+dOhsdmdE5SjQPJakyi8Dp06JC6XL16dZPGkl3x+ijORm3mbNRm4vXGXbPMY6IosXsTJXZvwjwm+13TAl59OhXkxo0b1acICyGEEELkhCwnJYGBgVy8eJEHDx4YbE+ZxSgwMDDDY+Pi4jh+/LjB9iNHjhAfH5/hsekpXrw4Hh4e7N+/36hs3759FC1aVJISkabUSUmErZdJY8muGP1jdj+eye7HM4nRPzYq10U+pnLodCqHTkcXaVyeWcXLVMTJozgkt0r+8ccfLxS3EEIIIURqWU5K3n77bfR6PTNmPB1cqygK06ZNw83NTX2eyP379zlz5gzR0dHqfq1bt0an0zFt2jSDc06dOhWdTkfr1q2zdRMdOnTgzz//NHiC+/nz59m4caP6IB4hnpV6TvUSZStluG9hp9FoCKjbVF0PmbHIpPEIIYQQomDJ8piSoKAgunbtyqhRo7h37576RPft27czf/58dcD5tGnTGDNmDNu2bSM4OBiSu1ENHz6csWPHkpCQQP369dmxYwdLlixh5MiRRjNkff311wBcvnwZgNWrV3PhwgUAvvjiC3W/ESNGsGLFCho1asSgQYMAmDRpEs7Oznz++efZrx1RYIWFhand+zRaLcVLVzB1SHme/6tN2bFqIQCn92/P9jgwIYQQQohnZTkpAZg7dy7e3t4sXLiQmTNn4ufnx5IlS+jSpctzjx0zZgxOTk5Mnz6d0NBQvLy8mDhxoppMpJbyxPgUy5cvVx+GmDop8fT0ZOfOnQwdOpRRo0YB0KBBAyZOnChPnxZpSt11y6NkGXRW1iaNJz/wqVANOydXIh/eJy4mmr/++os33njD1GEJIYQQogDIVlKi0+kYO3YsY8eOTXef0aNHM3r0aKPtGo2GwYMHM3jw4OdeR1EyPxeSn58fv//+e6b3F4Vb6qTEy6+ySWPJL7RmZvjXbcI/60IBWLVqlSQlQgghhMgRBevpLEJkUuqkRMaTZJ5/3aezcK1du5bExESTxiOEEEKIgkGSElEopR7kLi0lmVemSk2si/z3TJ8HDx6wc+dOU4ckhBBCiAJAkhJR6ISFhaV6krsZxXzLmzqkfMPM3IJKrzRS11etWmXSeIQQQghRMGRrTIkQ+ZnBIHfv0ugs8+8MUnZmHnTymA+ApbaIUXmMiwdbxi0GINHGuDw7Al5tysG/1kByUjJlyhS0Wvl+QwghhBDZJ39JiEKnIHXd0mrMsDZzwNrMAa3GzKhcMTMjwc6BBDsHFDPj8uzwC3oVnZUNJLc6pTw4VQghhBAiuyQpEYWO4SD3/J2UmILO0ooKNeur69KFSwghhBAvSpISUegYtJTk86QkUR9HWNxJwuJOkqiPMyrXxsfhfP4EzudPoI03Ls+ugFSzcK1atSpL03cLIYQQQjxLkhJRqNy+fZvbt28DYGZmhqdvOVOH9EKi9OH8GT6KP8NHEaUPNyq3ehROzSlfUHPKF1g9Mi7Prgo1G6DT6QC4dOkSx48fz7FzCyGEEKLwkaREFCpHjhxRlytUqJCvB7mbkpVtEZo2baquSxcuIYQQQrwISUpEoXL06FF1uWrVqiaNJb9r166duixJiRBCCCFehCQlolBJ3VJSrVo1k8aS37355puYJc/odfLkSc6dO2fqkIQQQgiRT0lSIgoVaSnJOUuOPMDXv4a6Lq0lQgghhMguSUpEoREZGcmFCxfUdUlKXpz/q4azcAkhhBBCZIckJaLQOH78uDp1rZN7MRYdum/qkPK9ynWaqMsHDhzg2rVrJo1HCCGEEPmTJCWi0EjddatY6fImjaWgcHT1wLvC0xanNWvWmDQeIYQQQuRP5qYOQIiXJfUg9+KlK5o0lpxia+bC6y7fqMvPinV0Ye/gb9Xl3OBftylXT/+X8K1atYqPP/44V64jhBBCiIJLWkpEoZG6paR46QomjSWnmGss8bAsj4dlecw1lkblep0lj3wr8Mi3AnqdcXlOCEg1ruTvv//m7t27uXIdIYQQQhRckpSIQiEhIYETJ06o68XLFIykJC9wLVaSKlWqAKDX61m7dq2pQxJCCCFEPiNJiSgUzpw5Q3x8PADWRexxci9m6pByhF5JIiopnKikcPRKklG5JikJy0fhWD4KR5NkXJ5T5EGKQgghhHgRkpSIQuHZQe4ajcak8eSUyKQ7LLvTl2V3+hKZdMeo3Dr8Dg2/7EXDL3thHW5cnlNSJyVbtmzh0aNHuXYtIYQQQhQ8kpSIQiH1IPcSBWSQe15SqVIlypYtC8ld5datW2fqkIQQQgiRj0hSIgoFw5YSGU+S0yb/dR6vwIbqunThEkIIIURWSFIiCryJm86y98AhdV0GueeOgFebqssbNmwgKirKpPEIIYQQIv+QpEQUeA/v3iLmSQQA5hY6PLx8TR1SgeTl54+ja1EAYmJi2LBhg6lDEkIIIUQ+IUmJKPBuXTytLhf1LouZuYVJ4ymoNBoN/qlaS6QLlxBCCCEyS5ISUeDdunRWXS5WupxJYynoAl5tri6vW7eOuLg4k8YjhBBCiPxBkhJR4IVdOacue5aSpCQ3laoUSBEHZwAiIiLYsmWLqUMSQgghRD4gSYko8MIuF9ykxFrrSD3H/tRz7I+11tGoPM7OkROdP+ZE54+JszMuz2laMzMq12mirksXLiGEEEJkhiQlokCLiYnh3s0r6rqnj59J48lpOq0NZW0aUdamETqtjVF5krUNN19pzM1XGpNkbVyeG1KPK1m7di2JiYkv5bpCCCGEyL8kKREF2unTp1H0egCKOLpg5+Ri6pAKvLJVX8HBwQGA+/fv8/fff5s6JCGEEELkcZKUiALtxIkT6nKxAtZ1K68yt9DRqlUrdV26cAkhhBDieSQpEQXa8ePH1WXPUgWr6xZARGIYi8PeZXHYu0QkhhmV29wLo8nQt2ky9G1s7hmX55Z27dqpy6tXr0af3FolhBBCCJEWSUpEgZa6paQgJiUKColKHIlKHApKGjsomMfHYR4fB0oa5bnknLkvOktrAG7evMmBAwde2rWFEEIIkf9IUiIKNMOkRLpvvSw6K2vK16ivrq9cudKk8QghhBAib5OkRBRY9+7d4/bt2wBotFo8vMuYOqRC5dmnuysvsaVGCCGEEPmLJCWiwErdSuJarCQ6SyuTxlPYVKwVjJm5BQAXL140eD2EEEIIIVKTpEQUWDLzlmlZ29pRtlptdf2TCbNNGo8QQggh8q5sJSUJCQmMHDmSkiVLYmVlRUBAAL/88kumjlUUhR9++AE/Pz8sLS3x8/NjypQpaXbtiIyMZMCAARQtWhRra2teeeUVNm3alOZ5Q0NDqVWrFo6Ojjg7O1OnTh2WL1+endsTBUTqmbeKFsBB7vlBwKvN1OXjuzabNBYhhBBC5F3ZSkr69u3LN998Q5s2bZg6dSpeXl507tyZxYsXP/fYr776ikGDBvHKK68wffp0atWqxcCBAxk7dqzBfoqi0KZNG+bOnUvv3r2ZPHkyWq2Wli1bsnXrVoN9J02aRKdOnXB2diYkJITRo0eTlJTEO++8w48//pidWxQFgMEgdx9pKTGFyrUbo9H+92Pm9pVznDt3ztQhCSGEECIP0ihZHH165MgRAgMD+eqrr/jyyy8hOYFo1KgRp06d4vr16+h0ujSPvX37Nj4+PnTu3Jl58+ap23v06EFoaChXrlyhaNGikPxsg3bt2rF48WK6du0KQFxcHAEBAVhbW3P06FH1eF9fX1xcXNi/fz8ajQaA2NhYfH198fLyYt++fVmqlBs3buDl5cX169cpUaJElo4trJKSkrh37x5ubm6YmZmZOhySkpKwt7cnOjoagM8XbMKtuLepw8oSjaLHOimKGDNbFE3a3x/EJkVwMup3ACrbtsLKzN6g3OJJBD7b1gJwpWFrEorYp3me3DT9k65cPLYfgG+//Zbhw4e/9BhS5LX3aUEgdZrzpE5zntRpzpL6zHlSp9loKVm+fDlarZb+/fur2zQaDR999BF3795l27Zt6R67du1a4uLiGDBggMH2AQMGEBcXx9q1aw2u4+zszLvvvqtus7S0pG/fvhw7doyzZ8+q2yMiIvDw8FATEgArKyucnJywsbHJ6i2KAuDSpUtqQqKztMbF08vUIeUKKzN7qtt3prp9Z6OEBCChiD3nW3XlfKuuJklIAALqPu3CJVMDCyGEECIt5lk94NChQ5QuXRpnZ2eD7bVq1QLg8OHDNG/ePN1jLS0tCQgIMNherVo1dDodhw8fNtg3KCjIKFtMfZ1y5f7rkhMcHMzq1auZPHkyrVu3JjExkblz53L+/Hm+++67595TREQEERER6npY2H9Pvk5KSiIpKem5x4v/6kqv1+eZ+jp27Ji6XNSnLGYaQMlfTxXXKHpQlP/+z8cC6jRm9YyvAThw4ACXL1+mZMmSJoklr71PCwKp05wndZrzpE5zltRnzivIdZrZlp8sJyW3bt3C09PTaHuxYsXU8oyO9fDwQKs1bKDRarV4eHgYHHvr1i1q165tdI60rjN9+nQePHjA4MGDGTx4MAD29vb89ttvvPbaa8+9p4kTJzJmzBij7eHh4VhaWj73eAF6vZ7Hjx9D8utpaqm77Hl5l8I6Kcqk8WSPgqUSC3oAzfN3z6Osne0oVa4yl8+eBODnn3+mT58+Joklr71PCwKp05wndZrzpE5zltRnzivIdZoyNON5spyUxMTEpPmHularxcLCgpiYmCwfS3J3q9THprevlZWVWp7C1taWChUq4OnpSevWrYmPj2fu3Lm0b9+eP/74g/r16xudJ7UhQ4YY/JEUFhZGzZo1cXFxwc3NLcNjxX9SMntXV9c80Rfy0qVL6rJ76UrEmNmaNJ7s+K+lBGK1NumOKYlMvMdfD8cD0MRpOHbmhu9Xqwd3qTYnBIAj731OrLP7S4jcWKVXm6tJyaZNm/j8889NEkdee58WBFKnOU/qNOdJneYsqc+cJ3WajaTEysqKuLg4o+16vZ6EhAQ1acjKsSQPTE99bHr7xsbGquUp2rVrh0ajYePGjeq2jh07UqVKFT744AP+/fffDO/J3t4ee3vj/vZmZmaF9o2RHVqtNs/U2d/7nnYFLFqqXLp/1Od5Gg2KRptu/EmaJB4kXlWXn91Pk6TH/uYVddlU9eD/anPWzfsegF27dnH//n08PDxMEkteep8WFFKnOU/qNOdJneYsqc+cV9jrNMt/oRQrVkwdc5FaSneqlO5V6R17584d9HrDPvJ6vZ47d+4YHJvZ61y6dInNmzfTpk0bg/3Mzc15/fXXOXXqFI8ePcrqbYp8LDo6mvu3rqrrnvKMEpNzK+6Np+9/Y8AURWH16tWmDkkIIYQQeUiWk5LAwEAuXrzIgwcPDLan9OEPDAzM8Ni4uDiDh9qRPM1wfHy8wbGBgYEcPnzYaMDPs9e5c+cOAImJiUbXS9mWVpkouE6dOqU+jNPe2Y0iDs7PPUbkvqr1no7v+n7mQpPGIoQQQoi8JctJydtvv41er2fGjBnqNkVRmDZtGm5ubjRs2BCA+/fvc+bMGXVaVoDWrVuj0+mYNm2awTmnTp2KTqejdevWBtcJDw9n6dKl6ra4uDhmz56Nv78/5cuXB6Bs2bJotVpCQ0MNWmCio6NZvXo1JUuWxNXVNau3KfKx1EmvZyl5aGJeUaX+06Tk4okD3L1716TxCCGEECLvyPKYkqCgILp27cqoUaO4d+8e/v7+rFmzhu3btzN//nx1cPq0adMYM2YM27ZtIzg4GJK7XA0fPpyxY8eSkJBA/fr12bFjB0uWLGHkyJEGs3q1a9eOBg0a8N5773HmzBlKlizJokWLuHjxIhs2bFD3c3V15b333mPWrFnUr1+ft99+m4SEBObPn8+VK1eYP39+ztSUyDcMnuQuXbfyDHcvXzxL+RF2+RyKXs+qVavo16+fqcMSQgghRB6Q5aQEYO7cuXh7e7Nw4UJmzpyJn58fS5YsoUuXLs89dsyYMTg5OTF9+nRCQ0Px8vJi4sSJDBo0yGA/jUbDb7/9xogRI5gzZw4RERH4+/uzbt06mjRpYrDv9OnTqVatGrNnz2bkyJHEx8cTEBDA8uXL6dChQ3ZuUeRjhkmJtJTkJVXrtyDs8jkAVqxYIUmJEEIIIQDQKCmd74Xqxo0beHl5cf36dUqUKGHqcPKFpKQk7t27h5ubm8lnjXB3d+fevXsADJmxmhJlKpo0nuzSKHqsk6KIMbNNd9asx4m3WHl3AABvuU/Fwdxwogmbu7eoP/YDAHZ++SPR7ulPRPEy3L1+iW97t4DkWUbCwsJwd3950xTnpfdpQSF1mvOkTnOe1GnOkvrMeVKn2RhTIkRedufOHTUh0WrN8ChZ2tQh5SoLjTU+VrXxsaqNhcbaqDzJ0orbVetwu2odkizTn677ZUnpwkXyrHurVq0ydUhCCCGEyAOy1X1LiLwqddct1+LeWOjSflhnQWFj5kQj52Hplsc5OHO09/CXGtPzVKn3mnThEkIIIYQBaSkRBUrqmbeK+cp4krwo9Sxc27dvl1m4hBBCCCFJiShYDAa5+8jMW3mRR8nS0oVLCCGEEAYkKREFSmGbDjg66SFbH3zH1gffEZ300Kjc8vEDqs4bT9V547F8/CDNc5hClVQPUpw4axGTNp8zaTxCCCGEMC1JSkSBkZSUxL///quuF4bpgBOUGK7E7uFK7B4SlBijcrO4WIoe/YeiR//BLC7WJDGmJXUXrgvH9xP5MNyk8QghhBDCtCQpEQXGhQsXiI397w9vS2sbnDyKmzokkY7UXbgUvZ4TuzebOiQhhBBCmJAkJaLASN11q6iPH1qtvL3zstRduI7t/NOksQghhBDCtOSvNlFgyJPc85dnu3DJLFxCCCFE4SVJiSgwUk8HXBgGued3HiVLU9TnaReu1atXmzokIYQQQpiIJCWiwChsM28VBFVTtZasWLHCpLEIIYQQwnQkKREFwpMnT7h06ZK6Ls8oyR9Sd+Hatm2bdOESQgghCilJSkSB8O+//6IoCgAOrh7Y2juaOqSXwgxznM19cDb3wQxzo3K9uTkRxUsRUbwUenPjclNL3YVLL124hBBCiEIr7/2VIkQ2FNYnuRcxd6eN+/fplsc6u/PPZ5NfakxZVbX+a2y48t/DE5cvX877779v6pCEEEII8ZJJS4koEGQ8Sf5VtUELdXnbtm2EhYWZNB4hhBBCvHySlIgCwXDmLZkOOD9x9/KleOkKACiKwvLly00dkhBCCCFeMklKRL6nKEqhfUZJbFIEByN+5mDEz8QmRRiVWzyJoOzvSyj7+xIsnhiX5xXVGr6uLi9dutSksQghhBDi5ZOkROR7t2/fJjw8HACt1gwPL19Th/TSxClPOP5kFcefrCJOeWJUbhH9hNKbfqX0pl+xiDYuzyuqBT9NSvbt28fly5dNGo8QQgghXi5JSkS+l7rrlruXL+Y6nUnjEVnn5F6MunXrquuhoaEmjUcIIYQQL5ckJSLfk0HuBUOnTp3UZenCJYQQQhQukpSIfE+SkoKhQ4cOmJmZQfJr+u+//5o6JCGEEEK8JJKUiHyvsA5yL2h+PvaIMlVrq+vSWiKEEEIUHpKUiHwtMTGRU6dOqevSUpK/PTsLl6IoJo1HCCGEEC+HJCUiXzt//jxxcXEAWNkUwcm9mKlDEi/Av25TzC3+m6jg0qVLHDhwwNQhCSGEEOIlkKRE5Gupu24V9SmLRqMxaTwvmwYN5hpLzDWWaEjj3jUaEnWWJOosIR/UjbWtHRVqNlDXpQuXEEIIUTiYmzoAIV5E6umAi/kWvvEk9uaedPP8Jd3yaDdP/vo+fz0hvVpwS07s3gzAsmXL+O6779QB8EIIIYQomKSlRORrBoPcfWQ8SUFQsVZDLK1tAAgLC+Pvv/82dUhCCCGEyGWSlIh8a9Lmc+zaf1hdl5m3CgadlTWVajdW13/5Jf2WICGEEEIUDJKUiHwrNvoJD27fUNcL48xb8fpozkdv5Xz0VuL10UblZjHRFN+7heJ7t2AWY1yeVwU2aqUur1ixgtjYWJPGI4QQQojcJUmJyLduXzmvLju6eWJdxN6k8ZhCjP4Rfz+azt+PphOjf2RUbhn5CP+fp+D/8xQsI43L86pygXUo4uAMwKNHj1i/fr2pQxJCCCFELpKkRORbYZfPqcuFsZWkIDMztzB4ZsmSJUtMGo8QQgghcpckJSLfunX5rLos40kKnupNWqvLf/zxB+Hh4SaNRwghhBC5R5ISkW9JS0nBVqJsZdy9fAFISEhg2bJlpg5JCCGEELlEkhKRLymKQtgVSUoKMo1GY9BaIl24hBBCiIJLkhKRL926dYuYyMcAaM3McS9RytQhiVyQehauvXv3cv78+Qz3F0IIIUT+JEmJyJdSP8ndo6Qv5hY6k8YjcoezR3EaNGigrv/0008mjUcIIYQQuUOSEpEvyZPcC4+uXbuqyz/99BOKopg0HiGEEELkvGwlJQkJCYwcOZKSJUtiZWVFQEBApp+6rCgKP/zwA35+flhaWuLn58eUKVPS/EMjMjKSAQMGULRoUaytrXnllVfYtGlTuuddsGABNWvWxNbWFicnJ2rXrs3GjRuzc4sijzNISgrxzFt2Zh684zGbdzxmY2fmYVQe4+LBtrHz2TZ2PjEuxuX5wR2XqpjrLAG4dOkS//zzj6lDEkIIIUQOy1ZS0rdvX7755hvatGnD1KlT8fLyonPnzixevPi5x3711VcMGjSIV155henTp1OrVi0GDhzI2LFjDfZTFIU2bdowd+5cevfuzeTJk9FqtbRs2ZKtW7canbd///689957lC9fnkmTJjF27FiqVq3KjRs3jPYV+V/q7luevoU3KdFqzLA1c8HWzAWtxsyoXDEzI87RhThHFxQz4/L8wNrWjsq1G6nrn4RMZdLmc0zafC7D44QQQgiRf2iULPaFOHLkCIGBgXz11Vd8+eWXkJxANGrUiFOnTnH9+nV0urT799++fRsfHx86d+7MvHnz1O09evQgNDSUK1euULRoUQBWr15Nu3btWLx4sdp9Iy4ujoCAAKytrTl69Kh6fMq+y5cvp0OHDtmriVRu3LiBl5cX169fp0SJEi98vsIgKSmJe/fu4ebmhlku//GbkJCAra0tCQkJAHz503ac3D1z9ZqmoFH0WCdFEWNmi6Ip3D0t/927jXkj+wFgbefAmKW7MNfpGNw0a133Xub7tLCQOs15Uqc5T+o0Z0l95jyp02y0lCxfvhytVkv//v3VbRqNho8++oi7d++ybdu2dI9du3YtcXFxDBgwwGD7gAEDiIuLY+3atQbXcXZ25t1331W3WVpa0rdvX44dO8bZs08fnPfdd99RvXp1OnTogF6v58mTJ1m9LZGPnDt3Tk1IrGztcHQrauqQTCZRieNO3BnuxJ0hUYkzKtfGx+F46TSOl06jjTcuzy/KV38VWwcnAGIiH3Nq/3ZThySEEEKIHGSe1QMOHTpE6dKlcXZ2Ntheq1YtAA4fPkzz5s3TPdbS0pKAgACD7dWqVUOn03H48GGDfYOCgoyyxdTXKVeuHE+ePGHv3r188MEHjBgxgmnTphEZGUmxYsX4/PPP+eijj557TxEREURERKjrYWFhkJy1JiUlZaJWRFJSEnq9/qXUV+pWsmKl/NCiQAEc/KxR9KAo//2fjujE+6wP/z8A2rtNwcHcsMXI+uE9Xpn0GQB/fzGdaPdiuRx17jA3M6Nag5bs+u1nAA5uWk2Vuk2y/H57me/TwkLqNOdJneY8qdOcJfWZ8wpynWa25SfLScmtW7fw9DTuKlOsWDG1PKNjPTw80GoNG2i0Wi0eHh4Gx966dYvatWs/9zoXLlxAr9erT3v+5ptv8PDwYMGCBQwYMABFUYxaZp41ceJExowZY7Q9PDwcS0vLDI8V/9Hr9Tx+nPzcEG3udjXat2+fuuzl7Yt1UlSuXs90FCyVWNADaNLcIy4pWl22SorGWmNYF5b6GINlJR/XVb1GzdWk5NT+HcTfu8q9e45ZOsfLfJ8WFlKnOU/qNOdJneYsqc+cV5DrNGVoxvNkOSmJiYlJ8w91rVaLhYUFMTExaR6X0bEAVlZWBsemt6+VlZVaDqhdte7fv8/u3bupU6cOAO3bt1fHvnz44YcZZmlDhgyhT58+6npYWBg1a9bExcUFNze3dI8TT6Vk9q6urrneF/LSpUvqsptvRWLMbHP1eqbyX0sJxGpt0h1TEqvYPF02szGqC43WWl2O01rn67pyK18dz1J+hF0+h16fxO7tWxjasUmWzvEy36eFhdRpzpM6zXlSpzlL6jPnSZ1mIymxsrIiLs64b7perychIUFNGrJyLEBsbKzBsentGxsbq5aTPM4EoFSpUmpCQnKS1KlTJz777DPOnDlDpUqV0o3L3t4ee3t7o+1mZmaF9o2RHVqt9qXUmcF0wL7lC/YgcI0GRaNN9x4VjcZg+dn9Uq9ndJ58QQM1m7/F2pkhAOzbtAqtdjwaTdqtSOl5We/TwkTqNOdJneY8qdOcJfWZ8wp7nWb5L5RixYqpYy5SS+lOldK9Kr1j79y5g15v2Eder9dz584dg2Mze52U2bE8PIyfwZCy7dGjR5m+P5G3PX78mGvXrqnr8uDEwiWo0ZuYmVsAcOfaRfbv32/qkIQQQgiRA7KclAQGBnLx4kUePHhgsD2ln39gYGCGx8bFxRk8Y4LkaYbj4+MNjg0MDOTw4cNGA36evY6npyeenp5pPo/k5s2bALi7u2f1NkUedfLkSXXZyaM4VrZFTBqPeLmKODpT6ZWnzyyZP3++SeMRQgghRM7IclLy9ttvo9frmTFjhrpNURSmTZuGm5sbDRs2hOQxHmfOnCE6+ulA3NatW6PT6Zg2bZrBOadOnYpOp6N169YG1wkPD2fp0qXqtri4OGbPno2/vz/ly5dXt3fs2JEbN24YPL09Pj6eJUuWUKpUKcqUKZPV2xR5lMFDE6WVpFCq+dpb6vLSpUsNfsYIIYQQIn/K8piSoKAgunbtyqhRo7h37x7+/v6sWbOG7du3M3/+fHWMx7Rp0xgzZgzbtm0jODgYkrtcDR8+nLFjx5KQkED9+vXZsWMHS5YsYeTIkQazerVr144GDRrw3nvvcebMGUqWLMmiRYu4ePEiGzZsMIjp888/Z8WKFbRv355Bgwbh7u7OTz/9xPnz51m5cmWW+5yLvMtgPEkpSUoKo3JBdbF3cSci/C6RkZGsXLlSfcCqEEIIIfKnLCclAHPnzsXb25uFCxcyc+ZM/Pz8WLJkCV26dHnusWPGjMHJyYnp06cTGhqKl5cXEydOZNCgQQb7aTQafvvtN0aMGMGcOXOIiIjA39+fdevW0aSJ4Yw7bm5u7Nq1i08//ZRp06YRExNDtWrVWLduHS1atMjOLYo8KnVLSTHf8hnuWxjYal1o4TJGXX5WrKML+z/+Wl0uCMzMzKnRtC1bQmdBchcuSUqEEEKI/E2jKAXwqXMv6MaNG3h5eXH9+nV1IL3IWFJSEvfu3cPNzS3XZo3Q6/U4OjoSGRkJwPC5f+BRsnSuXCsv0Ch6rJOiiDGzzd+zZuWCezevENLz6UNaL1y4QOnSz38vvIz3aWEjdZrzpE5zntRpzpL6zHlSp9kYUyKEqVy9elVNSKysrHAt7m3qkISJuBX3wbdydXV94cKFJo1HCCGEEC9GkhKRb6TuuuXqVRozs2z1PixQ9EoSMUmPiUl6jF5JMirXJCVhEfkYi8jHaJKMy/Oz1APep82cazRTnxBCCCHyD0lKRL5hOJ6knEljySsik+6w9E4vlt7pRWTSHaNy6/A7NB7RjcYjumEdblyen1Wp1xxL6/+eaP/o/m3++usvU4ckhBBCiGySpETkG8eOHVOXPUtJUlLYWVrbUrVBS3V9zpw5Jo1HCCGEENknSYnIN2TmLfGsWq+1V5fXrl1LWFiYSeMRQgghRPZIUiLyhaioKC5cuKCuyzNKBIB3hap4JnflS0xMlCe8CyGEEPmUJCUiX/j3339Jmb3a3sWdIg7Opg5J5AEajYY6r3dU12fPni0D3oUQQoh8SJISkS+kHk9STMaTiFSCGr2Jzuq/Ae/Xrl1j48aNpg5JCCGEEFkkSYnIF1KPJ/GUmbdEKla2RQhs1EpdnzlzpknjEUIIIUTWSVIi8gUZ5C4yUuf1d9TldevXM/Ln7SaNRwghhBBZI0+fE3meoijSfSsd1loH6jr0U5efFW/nwMmO/dXlgqpE2Up4lfPn+tkTKHo9e/9cAZ2DTR2WEEIIITJJkhKR512/fp3Hjx8DYGZugbtXKVOHlGfotLaUs22abnmitS036jZ7qTGZSp3XO7Ls7AkA9v25goSEyVhYWJg6LCGEEEJkgnTfEnle6q5bHiVLY2Yuf2gKY1UbtMTK1g6AiAf3+P33300dkhBCCCEySZISkefJeBKRGZbWNlRv0kZdlwHvQgghRP4hSYnI8wzGk8jMWwYiEm/zU1hXfgrrSkTibaNy63thNP70XRp/+i7W9wr+085TD3jfvHkzFy9eNGk8QgghhMgcSUpEnmcwHbAMcjegoCdeiSZeiUZBb1SuURQsYqKwiIlCk/zwyYKsqE9ZSlUOUtd//PFHk8YjhBBCiMyRpETkaTExMZw7d05dl5YS8Tx13uikLs+YNYdvfztq0niEEEII8XySlIg87dSpU+j1/7UA2Dm5YufkauqQRB5XpV5z7J3dAIh5EsHBv9aYOiQhhBBCPIckJSJPSz2eRLpuicwwt9AZtJb8vWYJSiHouiaEEELkZ5KUiDzNcOYtSUpE5tR+/R3Mkp9Rcvf6JTZv3mzqkIQQQgiRAUlKRJ4mg9xFdtg5uRIY/Ia6/sMPP5g0HiGEEEJkTJISkWcpiiItJSLb6rXtpi7/8ccfnD9/3qTxCCGEECJ9kpSIPOvWrVuEh4cDoDUzx8OrtKlDynN0Glsq275JZds30WlsjcoTrG253LgNlxu3IcHauLwgK1GmIr6Vq6vrU6dONWk8QgghhEifJCUiz0rdSuLu5Yu5TmfSePIiazMHajp0p6ZDd6zNHIzKE+wcONumJ2fb9CTBzri8oKvXpqu6vGDBAh4/fmzSeIQQQgiRNklKRJ5l8CT3Un4mjUXkT5XrNsHJvRgAT548YdGiRaYOSQghhBBpkKRE5FlHjz596F2x0uVNGovIn8zMzKn75rvq+vTp00lKSjJpTEIIIYQwJkmJyLOOHDmiLhcvXdGkseRVTxLv8du9T/nt3qc8SbxnVG714B61Jwyl9oShWD0wLi8Mar3WAWtrawAuXrzIli1bTB2SEEIIIZ4hSYnIk548eWIwW1LxMhVMGk9elUQC9xMucj/hIkkkGJVrExNwuHYBh2sX0CYalxcGtvaOdO36dGzJjBkzTBqPEEIIIYxJUiLypGPHjqlP4XZ0LUoRB2dThyTyMaeabdBoNADs27ePPXv2mDokIYQQQqQiSYnIk1KPJ5FWEvGiPEqWplLtxur6d999Z9J4hBBCCGFIkhKRJxmMJykj40nEi2v0znvq8m+//caZM2dMGo8QQgghnpKkRORJMshd5DSfClXxrRwEgKIoTJgwwdQhCSGEECKZJCUiz0lISODkyZPqenGZDljkkEZv91GXlyxZwq1bt0wajxBCCCH+I0mJyHNOnTpFfHw8AE5OTjh5FDd1SKKAqFizAeXL/5fkJiQkMHnyZFOHJIQQQghJSkRelHqQu0tJP3XWJGHMQmNFSasalLSqgYXGyqg8ydKSO/61uONfiyRLS5PEmJdoNBo++OADdX3mzJk8evTIpDEJIYQQQpISkQfJIPfMszFzponzZzRx/gwbM+Npk+McXDjSdwRH+o4gzsHFJDHmNW3btsXLywuAyMhIZs2aZeqQhBBCiEJPkhKR5xgOcpfpgEXO+uPkXQJbvquuT548mdjYWJPGJIQQQhR22UpKEhISGDlyJCVLlsTKyoqAgAB++eWXTB2rKAo//PADfn5+WFpa4ufnx5QpU9QH5aUWGRnJgAEDKFq0KNbW1rzyyits2rTpuddo2rQpGo2Gfv36Zef2hAnp9XqD7lslpKVE5ILaLTpgbecAwO3bt1m0aJGpQxJCCCEKtWwlJX379uWbb76hTZs2TJ06FS8vLzp37szixYufe+xXX33FoEGDeOWVV5g+fTq1atVi4MCBjB071mA/RVFo06YNc+fOpXfv3kyePBmtVkvLli3ZunVruudftWqVPK05H7ty5QoREREAmOsscfMqZeqQ8rTopIdsfziZ7Q8nE5300KhcF/GQgEXfE7Doe3QRxuWFlaW1La+2etpa8vnIr5jwx8kMjxFCCCFE7slyUnLkyBEWLlzI6NGjmTJlCu+99x7r1q0jODiYTz75RJ01KS23b98mJCSEXr16sXjxYvr06cOSJUvo3r0748aN4/bt2+q+a9asYevWrcyePZtvvvmG999/n23btlG6dGmGDBmS5vljY2MZOnQon332WVZvS+QRqbtueZbyw8zM3KTx5HUJSgyXYv7mUszfJCgxRuXmsTEUO7iTYgd3Yh5rXF6Y1W/XHUtrGwAe3r3FgU2rTR2SEEIIUWhlOSlZvnw5Wq2W/v37q9s0Gg0fffQRd+/eZdu2bekeu3btWuLi4hgwYIDB9gEDBhAXF8fatWsNruPs7My77z79NtPS0pK+ffty7Ngxzp49a3T+8ePHo9frGTp0aFZvS+QR8tBE8bLY2jtRr003df2v0FkZfqkihBBCiNyT5a+hDx06ROnSpXF2Npzpp1atWgAcPnyY5s2bp3uspaUlAQEBBturVauGTqfj8OHDBvsGBQVhZmaW7nXKlSunbr969Srjx49nwYIFWFtbZ+meIiIi1C5DAGFhYQAkJSWRlJSUpXMVVklJSej1+heur9TvgRKly6NR9DkQXf6kUfSgKBnWgSbVWCxNGvumXtco+kJdn6RRp8HtuvH3msXExUTz8M5NFixYQJ8+fZ57HvFUTn32xVNSpzlP6jRnSX3mvIJcp8/+LZ+eLCclt27dwtPT02h7sWLF1PKMjvXw8ECrNWyg0Wq1eHh4GBx769YtateunenrDB06lMDAQN55552s3hITJ05kzJgxRtvDw8OxlGc7ZIper+fx48eQ/Hpmh6IoHDp0SF0vXaoU1klRORZj/qNgqcSCHiDtZ7XEJUWry1ZJ0VhrDOvLUh9jsKwU6vrEqE6tbXU0fPMdNixbAMDXX39NixYt0Ol0pg4038iJz74wJHWa86ROc5bUZ84ryHVatGjRTO2X5aQkJiYmzT/UtVotFhYWxMSk3289vWMBrKysDI5Nb18rKyu1PMXWrVtZvXo1+/fvz+rtADBkyBCDb0fDwsKoWbMmLi4uuLm5ZeuchU1KZu/q6prpjPhZN2/e5O7duwBozcxxKVuVGLPCmxT+960+xGptUDRp/4CKVWyeLpvZEGNma3gO7dNWwzittVF5YZNWnb7a/j22/baMuJhobty4wZ9//imtJVmQE599YUjqNOdJneYsqc+cJ3WajaTEysqKuLg4o+16vZ6EhAQ1acjKsSQPUk99bHr7pjxPIGXfxMREPv74Y7p160ZQUFBWbwcAe3t77O3tjbabmZkV2jdGdmi12heqs2cHuZtbWmM8UXQho9GgaLTpJiVKqqfdK8n7GpZrDZbTO0+h8kyd2ji48GrrrmwJ/e8hit9++y09e/aU1pIseNHPvjAmdZrzpE5zltRnzivsdZrlv1CKFSumjrlILaU7VUr3qvSOvXPnDnq9Yb92vV7PnTt3DI7N7HUWLlzIuXPn6NWrFxcuXFD/kTxW5MKFCzx58iSrtylM4ODBg+qyV9nKJo1FFC4N3uqhzsR15cqVTE1vLoQQQoick+WkJDAwkIsXL/LgwQOD7fv27VPLMzo2Li6O48ePG2w/cuQI8fHxBscGBgZy+PBhowE/z17nxo0bJCQkUL9+/f9v787jYzr3P4B/ZiaZySariIRIlAQhUqIRe6T2toKiVaRaFVWURnvd8isJRdtbW4UqqlSVy3XRG7daStC6YgkVS+xVJLLvyySZOb8/yGnGZJkkIyfL5/16zStznuc5M9/5eiL55pzzHHh4eIgPANixYwc8PDwQGRlZ1Y9JEtApSjxZlBhCARPYmrSErUlLKMo48Kk1MUF2c1dkN3eF1oTLK5fHysYevYMmittLlizhSlxERES1qMpFydixY6HVarFu3TqxTRAEREREwNHREf379wcApKSkIC4uDnl5f12IGxQUBKVSiYiICJ3XXLNmDZRKJYKCgnTeJzU1FTt27BDb1Go1NmzYAG9vb7Rv314ct3v3br0HHt/Zfffu3ejdu3dVPybVMkEQWJRUg5VJM4xqthqjmq2GlUkzvf4C+2b4bX4EfpsfgQJ7/X76S7+XJ8HKygp4fLTkm2++kTokIiKiRqPKfzr19fXFxIkTsXDhQiQnJ8Pb2xv79u1DVFQUNm/eLF6cHhERgfDwcBw9ehQBAQHA41Ou5s6di8WLF4tHN44dO4Zt27ZhwYIFOqt6jRo1Cv369cOUKVMQFxeHVq1aYevWrbh16xYOHjwojvPy8oKXV9n3s3jmmWcwevTo6uSFatmff/6JlJQUAIBSqURzdw+pQ6JGxsrGHt1fHC9eWxIeHo6JEyfCwsKi0n2JiIioZqp1PsemTZvg5uaGLVu2YP369fD09MS2bdswYcKESvcNDw+HnZ0d1q5di507d8LV1RUrVqzA7NmzdcbJZDL88MMPmDdvHjZu3IisrCx4e3sjMjISAwYMqE7YVIeVPkri4+MDE1NeZEy1r/+YyTgZuQP5OVlISEjAmjVrMHfuXKnDIiIiavBkgiA0+gWOnnT//n24urri3r17aNmypdTh1AsajQbJyclwdHSs1qoRH374IT755BMAwLRp0+Axcnal+zR0MkELc00u8hWW5S8JrM3GlZz/AgC8rIbBTN5Ep980Nwtuxw4AAO72ewFFlvqrzDUmhuT0l39uwIGvlwMAbG1tcfv2bdjZ2dVypPVHTb/3SR9zanzMqXExn8bHnFbjmhKip6H0kZJu3bpJGkt9otZm40LOLlzI2QW1Nluv3zQ3B21/3Im2P+6EaS5XoTNEn6CJsHZ4dP1NRkYGPv30U6lDIiIiavBYlJDkBEHAb6f+uvHl1aKmksZDjZvSzByDJ8wQt1evXo0HDx5IGhMREVFDx6KEJHf79m3k52QBAEyUKji5tZU6JGrk/AaPgmMLd+DxDVvDwsKkDomIiKhBY1FCkit96lbLtl5QKHg/DZKWwsQUQyfNErc3b96M2NhYSWMiIiJqyFiUkOR0ihLeyZ3qCJ++Q+HW4VkAgFarxZw5c8B1QYiIiJ4OFiUkOd40keoimUyGoKl/F7cPHTqkc48kIiIiMh4WJSQprVaLc+fOidssSqgucffqgmf7DRW358yZg+LiYkljIiIiaohYlJCk4uLikJ39aClbpZkFmrVsLXVI9Y4MCshQ/prmWrkCWnnjXPPcGF54cw6Uykc387x69So2btwodUhEREQNDq8oJkmdOnVKfO7arhPkjfSGQdVlY+KCN1x2lduf18wFP6/+d63G1NA4OLui14hgHN21CQDwwYfz8eqrr/KGikREREbEIyUkqf/973/ic/cOXSSNhag8A8a9DSsbewBAbmY6FixYIHVIREREDQqLEpJU6SMlbh18JI2FqDzmlk0w7M1QcXvdunX4/fffJY2JiIioIWFRQpLJzMzE5cuXxW239s9KGk99VKjNw62847iVdxyF2jy9fkV+HpzPRMH5TBQU+fr9ZDi/wS/DtZ038HiBhhkzZnCJYCIiIiNhUUKSOXPmjPhLnYOzK5rYOUgdUr2Tr83AsYzVOJaxGvnaDL1+VXYGfL5dCZ9vV0KVrd9PhpPL5Xh5xgLIZDIAwK+//orvv/9e6rCIiIgaBBYlJJnS15OU3KSOqC5r1a4zug8ZI26///77yMrKkjQmIiKihoBFCUlG93oSFiVUPwx78z1x5a2HDx9i/vz5UodERERU77EoIUkIgqBTlLizKKF6wsrGHkuXLhW3165di+joaEljIiIiqu9YlJAkbty4gbS0NACAiVIFl2faSR0SkcFCQkLQo0cP4HGBHRISgqKiIqnDIiIiqrdYlJAkSl9P4urZCQoTU0njIaqK1b/cRO9J8yBXPLr/7MWLFzHqnXlSh0VERFRvsSghSfDULarvnFt7ov+YyeL2T9sicPv2bUljIiIiqq9YlJAkuPIWNQQDx78DB5dWAIAidQGmTJnCe5cQERFVA4sSqnU5OTmIjY0Vt3kn9+promiGMc2+xJhmX6KJoplef75DMxwL24BjYRuQ76DfTzWjVJlhzLvh4vaRI0fw1VdfSRoTERFRfcSihGrdmTNnoNVqAQB2zVxg4+AkdUj1llxmgiYmzdDEpBnkMhO9fkFhgnwHJ+Q7OEFQ6PdTzXl27Qn/oWPF7dmhc/DRtiOSxkRERFTfsCihWvfrr7+Kz3nqFjUEw0PmwtbRGQCgzs/DP1fM52lcREREVcCihGrd8ePHxefPeHeTNJb6rlgoRHLhTSQX3kSxUKjXLy8qhPXdG7C+ewPyIv1+Mg4zSyu88t7H4vaNC6d4GhcREVEVsCihWlVUVISTJ0+K2228n5M0nvouV5OC/6TMxX9S5iJXk6LXb5aegp6fv4+en78Ps3T9fjKedt1665zGNWfOHFy/fl3SmIiIiOoLFiVUq86dO4e8vDwAgKW1LZzc2kodEpHRDA+ZCzunFgCAvLw8TJgwgTdVJCIiMgCLEqpVx44dE5+37tQNcjmnIDUcZpZWeO2DTyGTyYDHizqEh4dXuh8REVFjx98IqVaVLkradOapW9TwtOn8HAJfCRG3ly1bprO4AxEREeljUUK1RqPR6PxyxutJqKEaPHEGunV7tIiDVqvFhAkTkJGRIXVYREREdRaLEqo1Fy5cQHZ2NgDAxsYGLs+0lzokoqfCxFSJ7du3w8LCAgBw9+5dvPnmm1wmmIiIqBwsSqjWlF4KuEX7LpArFJLGQ/Q0HbgLvDh1nri9d+9erF69WtKYiIiI6ioWJVRrSl9PwvuTUGPQfcho+D4/XNye8/4HmP3FbkljIiIiqotMpA6AGgetVosTJ06I2228/SSNp6GwlDtgsP0C8fmTCmwdcGZ6uPicapdMJsPod8Nw7/olJN27Da2mGN8umY0FE56Hvb291OERERHVGTxSQrXi8uXLSEtLAwAozSzQ0sNL6pAaBBO5Ci3MfNDCzAcmcpVev1apQmr7Z5Ha/llolfr99PSpzC3x+v+thqnKDACQnhSPnoODsPzgVaw8xJsrEhERgUUJ1ZbSp265e3WBwsRU0niIapNza0+8PHOhuH3t7K/475ZVksZERERUl7AooVoRFRUlPm/D60mMRitooNbmQq3NhVbQlDFAA5O8HJjk5QDaMvqp1vgNGoWeL44Tt4/8cwMuHPuvpDERERHVFSxK6KkrLi7GL7/8Im63fba7pPE0JNmaRGx/GIztD4ORrUnU67dIScSAueMxYO54WKTo91PtGjFtHlp38hW3d34+DxcvXpQ0JiIiorqgWkVJUVERFixYgFatWsHMzAydO3fG999/b9C+giBg9erV8PT0hEqlgqenJ7744osy1+/Pzs7GzJkz0bx5c5ibm8Pf3x8///yzzhitVoutW7di5MiRcHNzg0qlgqurK9555x2kpqZW5+ORkZ09e1a8cZyZZRO0au8jdUhEkjAxVeL1/1sNm6ZOAIBCdT6GDx+OxEQWjERE1LhVqygJCQnBkiVLMGLECKxZswaurq4YP348vv3220r3XbRoEWbPng1/f3+sXbsW3bt3x6xZs7B48WKdcYIgYMSIEdi0aRMmT56MVatWQS6XY9iwYThy5Ig4Li8vD5MmTcL9+/cxefJkrF27FiNHjsTmzZvRq1cv5OTkVOcjkhH99NNP4nOPLj2gUHDRN2q8rO0dMWlBBExMlcDjGysOHz4ceXl5UodGREQkmSr/dnj+/Hls2bIFixYtwkcffQQAeOuttxAYGIgPPvgAr776KpRKZZn7Pnz4EMuWLcObb76Jr7/+WtxXoVBg6dKlCAkJQfPmzQEA+/btw5EjR/Dtt99i4sSJAIBJkyahc+fOCA0NxYULFwAASqUSJ06cQO/evXXeq2fPnhg3bhy++eYbzJw5s6ofk4yodFHS3rd3hWOJGgO39p3xypyl2P7J+wCA06dPIzg4GLt27YJczrNqiYio8anyT7+SH5rTp08X22QyGWbMmIGkpCQcPXq03H33798PtVqtVyTMnDkTarUa+/fv13kfe3t7vPbaa2KbSqVCSEgIfv/9d1y7dg14XJQ8WZAAwMiRIyGTyXD58uWqfkQyovT0dERHR4vb7Xx7SRoPUV3hG/gSBgf/9X/hnj178OGHH2Lloevig4iIqLGo8pGSc+fOoU2bNno3/ure/dHFyzExMRg8eHC5+6pUKnTu3FmnvUuXLlAqlYiJidEZ6+vrC4VCUe77tGvXrtw4Hz58CEEQ0LRp00o/U1ZWFrKyssTthIQEAIBGo4FGwxWLDKHRaKDVavXydejQIWi1WgCAp6cnHJxcAEErUZT1i0zQAoLw6Gu5YwSd50+OLb0tE7QVvlZjYEhOa9Pg16ahqSYN27dvBwB89tlnGJljir5BE4DH31d1XXnf+1R9zKnxMafGxXwaX0PO6ZO/y5enykVJfHw8nJ2d9dpdXFzE/or2dXJy0js9QS6Xw8nJSWff+Ph49OjRo1rvAwBLliyBTCbD2LFjK/1MK1asQHh4uF57amoqVCrecM4QWq0WmZmZwON/zxI//PCD+LxPnz4w1+RKEl/9JEAlFABaAJCVOUKt+es6BDNNHsxluvlVafN1nguNPv+V57S2LVmyBDdv3hSPKO77cinsm1jguX6DkZycLHV4lSrve5+qjzk1PubUuJhP42vIOS25NKMyVS5K8vPzy/xFXS6Xw9TUFPn5+WXuV9G+AGBmZqazb3ljzczMxP7y7Ny5Exs3bsTs2bP1jsqUJTQ0FG+99Za4nZCQAD8/Pzg4OMDR0bHS/emvv+g2bdpUrIgFQcB/D/21KIHMrRvyFZaSxVjfPPqrPlAgt4AgK/s/qALB4q/nCgu9/Mrk5uJztdy80effkJzWtpYtWyIyMhL9+/fHpUuXIAgCtiwPg6mNE94a9KzU4VWqrO99qhnm1PiYU+NiPo2POa1GUWJmZga1Wq3XrtVqUVRUJBYNVdkXAAoKCnT2LW9sQUGB2F+Wo0ePYtKkSRgyZAg+++wzgz6TtbU1rK2t9doVCkWjnRjVIZfLdXIWFxeH9KRHp8IpTEzRxqd7nflFsN6QySDI5OXmTaWwhb/NW+LzJ8epm9jiypgQ8TnzX3lOa9sXR24BAEbNW4cH741DeuIDaIqLsHnRu3i9f0f4+/tLHWKlnvzep5pjTo2POTUu5tP4GntOq/xT2cXFRbzmorSS06lKTq8qb9/ExETxGoMSWq0WiYmJOvtW531Onz6NoKAg+Pr6Ys+ePTA1Na3ipyNjKr3qVuuOXaEyb9x/pX8aVHJLeFkOhZflUKjk+vkttrDCn31fwJ99X0CxhZUkMZJhbJs6YerSTbC0sQMAFBbkYciQITh79qzUoRERET11VS5Kunbtilu3biEtLU2nveR86K5du1a4r1qt1ruD8fnz51FYWKizb9euXRETE6N3wU957xMbG4uhQ4fC3d0dkZGRsLCwAEmr9I0u23XjUsBElWnm+gxClmyEyuJRgZmZmYlBgwaJS6ATERE1VFUuSsaOHQutVot169aJbYIgICIiAo6Ojujfvz8AICUlBXFxcTo3BAsKCoJSqURERITOa65ZswZKpRJBQUE675OamoodO3aIbWq1Ghs2bIC3tzfat28vtt+8eRMDBw6Era0tfvrpJ9jZ2VX1Y5GR5efnIyoqStxu362PpPEQ1Reunt4IWbIJSrNHf1hJT09H74BAXLp0SerQiIiInpoqX1Pi6+uLiRMnYuHChUhOToa3tzf27duHqKgobN68Wbw4PSIiAuHh4Th69CgCAgKAx6dczZ07F4sXL0ZRURH69u2LY8eOYdu2bViwYIHOql6jRo1Cv379MGXKFMTFxaFVq1bYunUrbt26hYMHD4rjsrOzMWDAACQlJSEsLAy//PKLTrxt2rQpcxUveroOHz4sFqTW9o5wbl3+8s1UfVnFDxGZ8iEA4MWmy2BtorvChXnKQ/RY/gEA4H9z/oH8poatgEHSat2xK976+CtsnD8FReoC5GamIyAgAIcOHUKXLl2kDo+IiMjoqlyUAMCmTZvg5uaGLVu2YP369fD09MS2bdswYcKESvcNDw+HnZ0d1q5di507d8LV1RUrVqzA7NmzdcbJZDL88MMPmDdvHjZu3IisrCx4e3sjMjISAwYMEMelpqbi7t27AICFCxfqvd/rr7/OokQCpW+E2bFHYINb3q6uEKBFgTZLfP4kmVYLZU6W+Jzqj7ad/TA5/Ets+mgqiosKkZqaiv79++PgwYP14uJ3IiKiqpAJQqm7rxEA4P79+3B1dcW9e/fQsmVLqcOpFzQaDZKTk+Ho6AiZTAZnZ2ckJSUBAKZ8vAEd/PpJHWK9IxO0MNfkIl9hWe5KUZnF8diT9Oiu4C83WwMbE90FICyS4tF38TQAwPGPvkRes/IXomgMDMlpXXP9/P+wecE0FKofLYOuMrfA5MVfYe2cyv8IVBtKf+831hVjjI05NT7m1LiYT+NjTqtxTQlRZaKjo8WCRGVuAY9neaSKqLo8u/RAyNJN4sXv6vw8bPhwMvbs2SN1aEREREbDooSMrvSpW+279YGJUilpPET13TPe3fD2J1tgbvXofkrFRYUYM2YMVq9eLXVoRERERsGihIxKEAT861//Erc79nhe0niIGgq39p0xffl3sGnqBDz+Xps9ezbmzJmjd+8nIiKi+oZFCRnV+fPncevWoztUK0xN0bFHoNQhETUYLq3bYdbqXWju7im2rVixAuPGjUNBQYGksREREdUEixIyqtJHSdr79oa5ZRNJ4yFqaGwdm2Pmyu/R1qe72LZr1y48//zzSEhIkDQ2IiKi6mJRQkYjCILOxbc+fYdIGk9joJRZwsvyBXhZvgClzFKvv8jcEn8EvIQ/Al5Ckbl+P9VP5pZNELJ0E7oGviS2nTx5Et26dcOpU6ckjY2IiKg6qnWfEqKyxMbGPnHqFq8nedrMFTbwt3mz3P6iJjaIe/mtWo2JaoeJqRKv/e0z2Du1wOEd6wEA8fHx6Nu3LyIiIhASEiJ1iERERAbjkRIymtJHSXjqFtHTJ5fLMeyN97B7925YWj46ElZUVISpU6ciJCQEarVa6hCJiIgMwqKEjKK4uBh79+4Vt32fHy5pPESNyT2bznhnxU44uLQS2zZu3IhevXrh+vXrksZGRERkCBYlZBSHDh1CcnIyAMDMwgpe/lx1qzbkaFIQmTwPkcnzkKNJ0es3S09G9xVz0X3FXJilJ0sSI9UO59aeeG/NvzB06FCx7dy5c/D26YJX5yzFip+vSRofERFRRXhNCRnFwuXrxec+fYdAqTKTNJ7GQiMUIqnomvj8SfKiItjdiROfU8Nm0cQGz7+7HBqHZ3Do+y8haLUoLMjDP1fMR9zZE3jjue9hZ2cndZhERER6eKSEaiwjIwOxJw+L274DgiSNh6gxkysUGBL8Lt757FvYOjqL7b8fPwgfHx8cPXpU0viIiIjKwqKEamzbtm0oKnx0Qa2Dsyue6dRN6pCIGr02nZ/D++v36yzNfe/ePQQGBmLKlCnIyMiQND4iIqLSWJRQjQiCgA0bNojb/kPHQC7ntCKqCyya2CB4/iq8OmcplGYWYvumTZvg5eWlszgFERGRlPjbI9XIqVOncOnSJeDxaSN+A0dIHRIRlSKTyeA3+GXM+XKfzl3gExISMGrUKIwePRrx8fGSxkhERMSihGpk3bp14nMf/36wtneUNB4iKptjCzdM+2wrxr73McxK3UNoz5498PT0xLJly1BQUCBpjERE1HixKKFqi4+Px86dO8XtvsNeljQeIqqYTCaD/9AxmLvpALx7DRTbc3NzMW/ePPGULkEQJI2TiIgaHxYlVG3r1q1DcXExAMDZ3QPtn/WTOqRGx0SmQktVV7RUdYWJTKXXr1GqkOTliyQvX2iU+v3UONk4OOGNhRGYtCACdk4txPY7d+5g1KhRGDBgAGJiYiSNkYiIGhfep4SqJS8vD+vX/3Vvkr4jgyGTySSNqTGyVDhgkMP8cvvVtg6ImbagVmOi+qNz74Fo/1wfHNvzDX7Z8RUK1fkAgCNHjsDX1xcvv/wyFi1aBC8vL6lDJSKiBo5HSqhaNm3ahNTUVACAlY09fANfkjokIqoGpcoMA1+bhr9/8xN8nx+u07dnzx54e3sjODgYt2/flixGIiJq+FiUUJUVFBTg008/Fbf7jJgIU54aRFSv2TZ1wvi5/8Cs1bvg0aWH2K7VarFt2za0a9cOzw0cibkbD2DloeuSxkpERA0PT9+iKtu8ebO4hKiZZRP0HjFR6pAarTxNOs5mfQcA6GY9ARYKO51+ZVY62u3/FgBwLSgYhdZ2Zb4OUQm3Dj6Y9ukW3LhwCj9uWYU/rpwHABQXF+Ps4X04e3gfvLr3x3Pmi9C7d2+pwyUiogaCR0qoSvLy8rB06VJxu+/IYJiXWl6UaleRkI+b+VG4mR+FIiFfr9+kIB8tTh9Bi9NHYFKg309UHo9n/TFz5Q68tfgrtGire03Jleij6NOnD3r16oVdu3ahsLBQsjiJiKhh4JESqpJVq1bhwYMHAAAzCyv0GREsdUhE9JTIZDJ4dQ9AB79+uHbuVxz550bc/D1a7D958iROnjwJR0dHTJkyBW+//TZcXV0ljZmIiOonHikhgyUlJeGTTz4Rt58fNxWW1raSxkRET59MJkP7bn3wzj++xew1u+HTZ7DOanvJyclYunQp3N3dMWLECPzwww8oKiqSNGYiIqpfWJSQwebNm4fs7GwAgKurK4+SEDVCrdp1xusffYHr168jNDQUtrZ//WFCq9Vi//79CAoKQosWLTB79mzExMTwZoxERFQpFiVkkBMnTuDrr78Wt/uMmwmlykzSmIhIOv+5o0XLIVPx4dYjmDj7I7R84rqT5ORkrF69Gr6+vvD29sbixYtx9epVyeIlIqK6jUUJVUqtVuPtt98Wt9v4+Ondz4CIGielmTl6DQpCaMS/MOuL3ej54jiYN7HRGXP58mUsWLAAXl5e6NSpE8LCwhAbG8sjKEREJOKF7lSp+fPn48qVKwAAhYkpRs8M493biUiHTCaDW/vOcGvfGSPenofL0Udx9tBeXD1zAlpNsTju8uXLuHz5MsLDw9GqVSsMGzYMw4YNQ2BgICwtLSX9DEREJB0WJVShw4cPY/ny5eL2wNemwalVG0ljor/IYQJrRXPx+ZMEhQK5js7ic6LaYKJUwqfPYPj0GYycjDTE/nYIvx8/iJu/R0Or1Yjj/vzzT6xfvx7r16+HUqlEv379MGzYMAwcOBBeXl784wcRUSMiE3j8XM/9+/fh6uqKe/fuoWXLllKHI5m7d+/iueeeQ3JyMgDA3asLpi//DgqF/i+/MkELc00u8hWWEGQ8K9AYmFPjY06Nryo5zclMw6WTv+D3E48KFE0FK3Q1bdoU/fr1Ex+dOnWCXN44/s00Gg2Sk5Ph6OgIBf+YYBTMqXExn8bHnPJICZUjNzcXI0aMEAsSMwsrjJ/7jzILEiIiQ1jZ2MN/6Bj4Dx0DdX4ubl6IxtUzx3Al+hgykhN0xqakpGDPnj3Ys2cPAMDe3h59+vSBv78//Pz80K1bN1hbW0v0SYiIyNj4GybpKSgowMiRI3HhwgXg8bniEz5cDgdn3hSNiIxDZW6Jjj0C0bFHIARBQOLdm7hy+hiunT2BP65eQJG6QGd8Wloa9u/fj/379wOP/1/q0KED/Pz84OfnB19fX3Tq1AkWFhYSfSIiIqoJFiWko6CgAGPHjsWhQ4fEtmFvhMKre4CkcVHZ1NpsXM39CQDQwXIwVPImOv2mudlw/fVHAMC93kNRZNmkzNchkpJMJkNzdw80d/dA4Ni3UFxUiHvXY3Hr4hncungG967GIC8vT2cfQRBw5coVXLlyBVu2bBFfx8PDA507d9Z5uLm5NZpTv4iI6isWJSTKyMhAUFAQjh8/Lrb1GTERga9MkTQuKl+BNhsx2TsAAK3Ne5ZZlHhGbgcAPOzSm0UJ1Qsmpkq07uiL1h19MWDc29AUF+Hejcu4e+UC/rx2EXfjfkfaw/t6+wmCgOvXr+P69ev417/+JbabmZnBw8MD7dq1Q7t27eDp6Sl+tbOzq+VPR0REZWFRQgCAc+fOYezYsbh9+7bY9tZbb6H96DlcAYeIJKUwMYV7h2fh3uFZsS0nIw1/Xo/Fn3EX8ee1i4i/HYes1KQy9y8oKEBsbCxiY2P1+hwdHdGmTRu4ubnB3d1d/FrynKeDERHVDhYljZxarcayZcuwdOlSFJVaCSfwlRB0GBPKgoSI6iQrW3t4+fWDl18/sS0nMw0Jd64j4c41xN+OQ/zta3h49yaKC9Xlvk5ycjKSk5Nx6tSpMvsdHR3h6uoKFxcXODs76311dnaGk5MTTEz445SIqCaq9b9oUVERFi9ejC1btiApKQmenp74+9//jtdee63SfQVBwBdffIG1a9fi7t27cHNzw4wZMzBz5ky9X4Czs7Mxb9487N69G5mZmfDx8cGiRYswaNAgvde9efMm5syZg6ioKAiCgP79+2PFihVo04b31ChLUVERduzYgbCwMNy5c0dsNzFVYuT0j9Bj2FhJ4yMiqiorG3t4POsPj2f9xTatVouM5AQk37uDpAd/IPn+HSTdu4PkB38gIym+0rvKlxQtMTEx5Y6RyWSwsnWAlZ0D2ru5oGnTpnBwcICDg4P4/Mmv1tbW/KMPEVEp1SpKQkJC8O2332L69Onw9vbGvn37MH78eBQXFyM4OLjCfRctWoSwsDBMnDgRf/vb33Ds2DHMmjULGRkZWLBggThOEASMGDECJ0+eRGhoKFq1aoWtW7di2LBh+PnnnxEYGCiOffjwIfr06QNTU1MsXLgQALBq1Sr06dMH58+fh5OTU3U+ZoN07do17NixA5s2bcKDBw90+pzc2mLC3z9HizYdJIuPiMiY5HI57J1awN6pBdp1663TV6guQEr8XaQ/fIC0xEeP9MR4pCXeR37aQ6Smphr0HoIgIDs9BdnpKUi4fc2gfUxMTGBtbQ0bGxtYW1vrPTcxMUHz5s1ha2ur02dpaQlLS0tYWFiID3Nz80Z7XwMiajiqfPPE8+fPo2vXrli0aBE++ugj4PF/yIGBgbhy5Qru3bsHpVJZ5r4PHz6Eu7s7xo8fj6+//lpsnzRpEnbu3Ik//vgDzZs/ujv13r17MWrUKHz77beYOHEi8PhUo86dO8Pc3FxcrhYAZs2ahfXr1+PKlSvikZEbN26gY8eOeOedd7Bq1aoqJaWh3DwxKysLt27dwtmzZ3HixAmcOHECf/zxh944pZkFnn81BP3HTIaJadn/dpXhTemMz5CcZhbHY0/STADAy83WwMbERaffIikefRdPAwAc/+hL5DVzKfN1GgvOU+NryDlV5+ciPTEemSmJyExLQlZqMrJ0viYhKy0ZxUWFUocKlUqlV6xYWFiIbebm5lCpVDoPpVJZ7nZFfaampjAxMan0oVAo6szRIN6YzriYT+NjTqtxpGTXrl2Qy+WYPn262CaTyTBjxgyMHj0aR48exeDBg8vcd//+/VCr1Zg5c6ZO+8yZM7F161bs378fU6dOFd/H3t5e55QwlUqFkJAQvP/++7h27RratWsnjh06dKjOqVoeHh4YPHgwdu3aVeWiRGqxsbGIi4tDcXExiouLodFodL4+2ZadnY309HSdx927d5GUVPZFnyVUFpbwHzoWgWOnoImdQ619PiKi+kBlbikuVVweQRCQn5OFrNQk5GSlIzczHXlZGcjNSkduVsaj7ewM5JRqz8/JMnqsarUaarUaaWlpRn/tmlAoFAYVMKULGblcXu6jsv6KHoWFhbCwsCj3NWQymd4Dj3/HKW/b0Lbq7lfd16pIRf2G9mm1WmRnZ6NJkybictvGeN26sq8Ur1uSU2tra6MvYd63b184Ozsb9TWfhioXJefOnUObNm1gb2+v0969e3cAQExMTLlFyblz56BSqdC5c2ed9i5dukCpVOqcs3vu3Dn4+vrqVYul36ddu3aIj4/Hw4cP4efnp/d+3bt3R2RkJBISEir8x8jKykJW1l8/JO7duwc8PmKi0WgqzMfTsG7dOqxfv/7pvLhMBvcOz6KTf3906vE8VOYW0BapkZkUX7OXFbQo0OZDLTdvcH8tlYohOc3SJKEo7dECBVmyJOCJP64Upibi4eMFDDJSE5H/9MOu0zhPjY85fcTcwhLmFpZwbF750XWNthgFOTlQ5+eiIC8Xhfl5j57n50Kdnwt1Xg40uZnIVReiIO9RX2FBHgryclFUWIAitRpF6gIUFhZAW1xcK5+vujQaDTQaDdTq8hcbIKKn65tvvkH//v0le3+FQoHmzZtXuiBIlYuS+Pj4Mn/Bd3FxEfsr2tfJyUmvApTL5XByctLZNz4+Hj169Kj0fUq+VhZTRUXJihUrEB4ertde1vvXe4KAP66cxx9XziNy8wqpoyEjuoZXKh4w69XaCoWIiIjqiDfeeEPqEAy6JKLKRUl+fj5UKpVeu1wuh6mpKfLzy/9bbHn74vHNrUrvW95YMzMzsb/0V0PGlic0NBRvvfWWuF1QUIB79+6hdevWXObRQAkJCfDz88Pp06frxSHC+oA5NT7m1PiYU+NjTo2POTUu5tP4GnpOS64Zr0iVf+M2MzMr8zCsVqtFUVGRWAhUZV88LgRK71ve2IKCArG/9FdDxpanZLWT0tq2bVvhPlQ2Z2fner04QF3EnBofc2p8zKnxMafGx5waF/NpfI05p1U+AdjFxQUJCQl67SWnUZWcMlXevomJidBqtTrtWq0WiYmJOvsa+j4lX6sbExERERERSavKRUnXrl1x69YtvRU+oqOjxf6K9lWr1bh48aJO+/nz51FYWKizb9euXRETE6N3ofmT79OiRQs4OTnh9OnTeu8XHR2N5s2bsyghIiIiIqrDqlyUjB07FlqtFuvWrRPbBEFAREQEHB0dxav7U1JSEBcXh7y8PHFcUFAQlEolIiIidF5zzZo1UCqVCAoK0nmf1NRU7NixQ2xTq9XYsGEDvL290b59e7F9zJgx+PHHH3Hr1i2x7caNG/jpp58wZsyYqn5EqgZra2ssXLhQ7zQ4qj7m1PiYU+NjTo2POTU+5tS4mE/jY06rcfNEAAgODsb27dsxY8YM8Y7uBw4cwObNm8Ur/MPCwhAeHo6jR48iICBA3HfBggVYvHgxgoOD0bdvXxw7dgzbtm3DggULdFbAEgQB/fv3R3R0NObMmSPe0T06OhoHDx7EgAEDxLEJCQno0qULVCoVZs+eDQBYuXIlCgsLcf78+QZ5wRARERERUUNRraWlNm3aBDc3N2zZsgXr16+Hp6cntm3bhgkTJlS6b3h4OOzs7LB27Vrs3LkTrq6uWLFihVhMlJDJZPjhhx8wb948bNy4EVlZWfD29kZkZKROQYLHFwUdP34cc+bMwcKFCwEA/fr1w4oVK1iQEBERERHVcdU6UkJERERERGQsjff2u0REREREVCewKCEiIiIiIkmxKCEiIiIiIkmxKCEiIiIiIkmxKCGDREVFQSaTlfk4fPiwztjExERMnDgRDg4OsLKyQmBgIM6dOydZ7HVBTk4OFi5ciGHDhsHR0REymQyffPJJmWOrkr+zZ88iMDAQVlZWcHBwQHBwMJKSkp7yp6kbDM1pWFhYuXO3uLhYb3xjzemZM2fw7rvvwtvbG1ZWVrCxscGgQYNw/PhxvbGco4YxNKeco4aLiYnByy+/jNatW8PCwgJNmzZFv379EBkZqTeW89QwhuaU87T6vvvuO8hkMpiZmen1cZ7+pVpLAlPjNX36dPj7++u0derUSXyen5+PwMBAPHz4EKGhobC1tcW6desQEBCA6OhoeHl5SRC19FJSUrBo0SK0bNkSXbp0waFDh8ocV5X8XblyBQEBAXB3d8enn36KjIwMLF++HDExMThz5gzMzc1r8RPWPkNzWiIiIgI2NjY6bQqFQme7Mef0008/xfHjxzF69Gi8++67yMjIwIYNGxAYGIjIyEgMGTIE4BytEkNzWoJztHK3b99GQUEB3njjDbi4uCA3Nxd79uzBSy+9hC+//BJvv/02wHlaJYbmtATnadXk5ORg7ty5sLS01CveOE+fIBAZ4OjRowIAYceOHRWOW7FihQBAOH78uNiWkpIiODg4CEFBQbUQad1UUFAgPHjwQBAEQbhz544AQFi2bJneuKrkb/jw4YKjo6OQmpoqtpX8O61cufKpfp66wNCcLly4UAAgJCQkVPqajTmnv/76q1BQUKDTlpaWJjRv3lzo2rWr2MY5ajhDc8o5WjPFxcWCj4+P0LZtW7GN87Rmysop52n1/O1vfxPat28vvPbaa4JKpdLp4zzVxaKEDFK6KMnOzhYKCwvLHOfv7y/4+Pjotc+YMUNQKpVCVlZWLURbt1X0C7Sh+cvKyhJMTU2FWbNm6Y3t1KmT4O/v/5Sir5sMKUri4+OFzMxMQaPRlPkazGnZnvxByjlac0/mlHO05l544QWhadOm4jbnac09mVPO06q7fv26oFQqhQMHDgivv/66XlHCeaqL15RQlUyZMgVNmjSBmZkZ+vTpg5MnT4p9Wq0WFy5cgJ+fn95+3bt3R2FhIS5dulTLEdcfVclfbGwsioqKyh37+++/Q6vV1krc9YWnpydsbGzQpEkTvPLKK7h//75OP3Natvj4eDRt2hTgHDWa0jktjXPUcDk5OUhJScGNGzfw2Wef4ccff8TAgQMBztNqqyinpXGeGm727NkIDAzEsGHD9Po4T/XxmhIyiFKpxKhRo8SLiuPi4rB8+XIEBATg6NGj6NWrF9LS0lBQUABnZ2e9/V1cXIDHP4ypbFXJX8nX8sbm5+cjPT0dDg4OTz3uus7Ozg7Tp09Hjx49YG5ujt9++w1r1qzBqVOnEBMTI+aIOdX322+/4dixY3jvvfcAzlGjeDKn4Bytlrfffhvbt28HHl/PMGrUKKxduxbgPK22inIKztMqi4yMxM8//4yLFy+W2c95qo9FCRmkZ8+e6Nmzp7g9fPhwvPLKK+jYsSPmzp2LX3/9Ffn5+QAAlUqlt3/JihMlY0hfVfLHXBtu1qxZOtujRo1Cz549MXr0aKxcuRIff/wxwJzqSUpKwmuvvYZWrVphwYIFAOdojZWVU3COVsuHH36ISZMmIT4+Htu3b0dhYSHUajXAeVptFeUUnKdVUlhYiPfeew/vvPMOOnToUOYYzlN9PH2Lqs3NzQ2jR4/G//73P+Tl5YnfGKX/EytRUFAAlPrmIX1VyR9zXTMvv/wy3N3ddZazZk7/kp2djWHDhiErKwv/+c9/xJV2OEerr7yclodztGIdO3bEgAEDEBwcjIMHDyIrKwvDhw+HIAicp9VUUU7Lw3latuXLlyMtLQ0LFy4sdwznqT4WJVQjrVq1glarRUZGBhwcHKBSqZCQkKA3ruTQY8khSdJXlfyVfC1vrJmZGezt7Z96zPWZq6sr0tLSxG3m9JH8/Hy89NJLuHr1Kg4cOABvb2+xj3O0eirKaUU4Rw0jk8kwZswYnDlzBtevX+c8NYInc1oRzlNdmZmZWLJkCSZPnoy0tDTcvHkTN2/eRHZ2NgRBwM2bN5GQkMB5WgYWJVQjt2/fhkKhgL29PeRyOXx8fHD69Gm9cdHR0TA1NTX4h3FjVJX8eXt7w9TUtNyxPj4+kMv57V2RO3fuoFmzZuI2cwoUFRVh9OjROHnyJPbs2aNzyiY4R6ulspxWhHPUcCWnrmRmZnKeGknpnFaE81RXeno6cnNz8Y9//AMeHh7i49///jcKCwvh4eGBN954g/O0LFIv/0X1Q+l1sUtcuXJFUKlUQmBgoNj2+eefCwCEEydOiG0la26/9NJLtRZvXVbR8rVVyd+LL74oODo6CmlpaWJbydLNy5cvf8qfom6pKKdlzd2vv/5aACAsWrRIp70x51Sj0QhjxowR5HJ5hfcj4hw1nKE55Rw1XGJiol6bWq0WfHx8BHNzcyE7O1sQOE+rxNCccp4aJjc3V9i9e7feIyAgQDA1NRV2794tzkvOU10yoaKTBYkeGzhwIKysrNCtWzc0a9YM165dw1dffQVBEHDixAl06dIFAJCXlwdfX18kJSVhzpw5sLGxwbp163D37l2cOnVK5+7vjU1ERAQyMjLEu7AOGjQIffr0AQDMnDkTNjY2VcrfpUuX0L17d7Ru3RrTpk1DZmYmPv/8czRv3hxnz56FhYWFhJ+2dhiSUzs7O4waNQpeXl6wsLDAyZMnsX37drRv3x6nTp2CtbW1+HqNOaehoaFYuXIlBg4ciODgYL3+CRMmAFX8Hm/M+UQVcso5arjAwECoVCr07NkTzs7OSEhIwLZt23Djxg0sX74coaGhAOdplRiaU87Tmpk0aRJ27twpXgMCzlN9UldFVD+sXr1a6N69u2Bvby+YmJgITk5Owrhx44QrV67ojU1ISBDGjx8v2NnZCRYWFkJAQIBw+vRpSeKuS9zc3AQAZT7u3LkjjqtK/qKjo4WAgADBwsJCsLOzE8aPH2/Q3XYbCkNyOmXKFKFjx45CkyZNBFNTU6FNmzZCaGiokJ6eXuZrNtac9uvXr9xcPvmjgnPUMIbmlHPUcJs3bxYCAgKEZs2aCSYmJoK9vb0wcOBAYf/+/XpjOU8NY2hOOU9rpqybJwqcpzp4pISIiIiIiCTVAK6KISIiIiKi+oxFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERERERSYpFCRERSWrLli2QyWT4448/pA6FiIgkwqKEiIiIiIgkJRMEQZA6CCIiarw0Gg2KioqgUqkgk8kkiSEjIwOLFy9GZmYmFAoFAGDu3LlYvnw51q5dK0lMRESNiYnUARARUeOUl5cHCwsLKBQKsRCQQlJSEgYPHoyVK1ciICAAAJCeng5/f38EBQVJFhcRUWPC07eIiKjawsLCIJPJcOXKFYwfPx62trawtbXFm2++iczMzDLHvf7663BwcEDHjh2BCq4pSUhIwNSpU9GyZUuoVCq4u7tjypQpyM7OFsckJiZi6tSpaNGiBVQqFTw8PPDZZ5+hKicBfPDBBxg7dqxYkACAnZ0dhgwZgv79+9cwQ0REZAgeKSEiohp79dVX0aJFCyxZsgSxsbHYsGED7t69i8OHD+uckjV27Fi0bt0aH3/8MdRqdbmv9/DhQ/j5+SE5ORlTpkxBp06dkJCQgL179yI1NRVNmjRBSkoK/P39oVarERISAmdnZ5w4cQJz585FfHw8Vq1aZVDsP/zwAwYPHqzXbmVlhd69e1czI0REVBUsSoiIqMZatGiB//73v2IB0qpVK8yfPx8HDhzAiy++KI7r0KEDdu/eXenr/f3vf8eDBw9w7Ngx9OnTR2wPCwsTj4L83//9H/Ly8nDx4kU4OTkBAKZOnQoXFxcsX74c7733Htzc3Cp9L0tLSyxduhSurq7o0aMHTEwe/WicP38+LCwsqpENIiKqKp6+RURENTZjxgydIyIzZsyAXC5HZGSkzrhp06ZV+lparRZ79+7FkCFDdAqSEjKZDIIgYNeuXXjxxRehUCiQkpIiPgYPHgytVouoqCiDYl+6dCmuXr2Kvn37ws7ODqNGjcLVq1dZkBAR1SIeKSEiohrz8PDQ2ba2toaTkxPu3r2r0966detKXys5ORlZWVnw9vaucEx6ejo2b96MzZs3lzkmKSnJoNiDg4PRq1cv7N+/H1FRUThw4ADOnDmDa9euQa1WY+DAgZgwYQIsLCzwzjvvYMmSJbCxscF3332HdevWoXPnzga9DxERlY9FCRER1VhZS/mWdbG5ubl5pa9Vsl9FywNrtVoAwLhx4/Dmm2+WOebJQulJJUsRm5mZoU2bNggNDUVoaCgOHjyIoUOHIiYmBvfv38ePP/4IR0dHxMbGolWrVpg7dy7w+GL4tm3bVvp5iIiocixKiIioxq5fv65TBGRlZSEpKcmgazqe1KxZM1hbWyM2NrbcMY6OjrC2tkZxcTEGDBhQrZgPHz4MExMTPP/88zrtvXr1Ah5f6O7m5gZHR0cAQFRUlM4KXW3atOEpXkRERsJrSoiIqMYiIiJ0joxERERAq9XihRdeqPJryeVyjBw5Ej/++CNOnjyp1y8IAhQKBUaPHo29e/ciJiZGb0xmZiaKiooqfJ+oqCgUFxfrtR89ehSdOnWCj48PevToodNeuijp1q1blT8bERGVjUdKiIioxh48eIBhw4bhxRdfxKVLl/DVV1+hX79+OitvVcWyZctw6NAhPP/88wgJCUHHjh2RmJiIf//739i7dy/c3d3xySef4NixY+jVqxcmT54Mb29vZGVl4dKlS9izZw9u3ryJ5s2bl/seUVFR+P3339GrVy9YWVkBAOLi4jBv3jxs3bpV5/QxQRBw/PhxrF69ulqfh4iIKsaihIiIamzHjh1YsmQJ5s2bBzy+eHzVqlUVXhdSEWdnZ0RHR+Ojjz7Czp07kZGRARcXFwwaNAhNmzYFHp/CFR0djY8//hj79u3Dhg0bYGtrC09PT4SFhcHe3r7c18/Pz0fnzp0xffp0TJ48GXK5HCYmJtBoNNi9ezc6dOigMz42NhY2NjZwdXWt1uchIqKKyYSq3PaWiIiolLCwMISHhyMhIaHCoxL13erVq3Hx4kV8/fXXUodCRNQg8ZoSIiKicly6dAlffvklvvzySyQnJ2PLli1Sh0RE1CDx9C0iIqJydOrUCZ06dTLopo9ERFR9PFJCRERERESS4jUlREREREQkKR4pISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSbEoISIiIiIiSf0/LbKg7ad9asYAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(8.5, 4.2))\n", + "ax.hist(ST, bins=200, density=True, alpha=0.5, label=\"simulated $S_T$\")\n", + "xs = np.linspace(ST.min(), ST.max(), 400)\n", + "from scipy.stats import lognorm\n", + "# lognorm with s=sigma, scale=S0*exp((mu-sigma^2/2)T) matches the exact law.\n", + "pdf = lognorm.pdf(xs, s=sigma, scale=S0*np.exp((mu - 0.5*sigma**2)*T))\n", + "ax.plot(xs, pdf, \"k-\", lw=2, label=\"exact log-normal density\")\n", + "ax.axvline(mean_formula, color=\"C3\", ls=\"--\", lw=1.5, label=f\"mean $S_0 e^{{\\\\mu t}}$\")\n", + "ax.axvline(median_formula, color=\"C2\", ls=\"--\", lw=1.5, label=f\"median $S_0 e^{{(\\\\mu-\\\\sigma^2/2)t}}$\")\n", + "ax.set_title(\"GBM terminal prices: log-normal, mean > median (volatility drag)\")\n", + "ax.set_xlabel(\"price $S_T$\"); ax.legend(fontsize=9); plt.savefig(_FIG / \"terminal_wealth_hist.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3164e4c6", + "metadata": {}, + "source": [ + "### Log-returns are Gaussian; prices are not\n", + "\n", + "A direct consequence of the exact solution is that the log-return over any\n", + "horizon $T$ is exactly Gaussian:\n", + "\n", + "$$\\log S_T - \\log S_0 \\;\\sim\\; \\mathcal N\\!\\big((\\mu - \\tfrac12\\sigma^2)\\,T,\\;\\sigma^2 T\\big).$$\n", + "\n", + "The price $S_T$ itself is **log-normal** (and right-skewed, as the histogram\n", + "above shows). This is why all of our barrier arithmetic in Notebooks 03–04 will\n", + "be done in log-space." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ecc90de2", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:34.664060Z", + "iopub.status.busy": "2026-07-29T23:43:34.663759Z", + "iopub.status.idle": "2026-07-29T23:43:34.697124Z", + "shell.execute_reply": "2026-07-29T23:43:34.695987Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "log-return mean=+0.0559 (formula +0.0550)\n", + "log-return std =0.3002 (formula 0.3000)\n", + "log-return skew=+0.001 (Gaussian => 0)\n", + "price skew=+0.950 (log-normal => >0)\n" + ] + } + ], + "source": [ + "# Verify: log(S_T/S_0) is Gaussian; S_T is not (right-skewed log-normal).\n", + "logR = np.log(ST / S0)\n", + "from scipy.stats import norm, skew\n", + "print(f\"log-return mean={logR.mean():+.4f} (formula {(mu-0.5*sigma**2)*T:+.4f})\")\n", + "print(f\"log-return std ={logR.std():.4f} (formula {sigma*np.sqrt(T):.4f})\")\n", + "print(f\"log-return skew={skew(logR):+.3f} (Gaussian => 0)\")\n", + "print(f\"price skew={skew(ST):+.3f} (log-normal => >0)\")" + ] + }, + { + "cell_type": "markdown", + "id": "57d3d649", + "metadata": {}, + "source": [ + "## 5. Summary\n", + "\n", + "* Prices must stay positive $\\Rightarrow$ the model is **multiplicative**: GBM.\n", + "* **Itô's lemma** is the chain rule; its extra term\n", + " $\\tfrac12 b^2 f_{SS}$ is forced by $(dW)^2 = dt$.\n", + "* Applied to $f = \\log$, GBM becomes arithmetic BM on the log-price with drift\n", + " $\\nu = \\mu - \\tfrac12\\sigma^2$ (the *volatility drag*).\n", + "* Exact solution:\n", + " $S_t = S_0 \\exp\\big((\\mu - \\tfrac12\\sigma^2)t + \\sigma W_t\\big)$.\n", + "\n", + "For the barrier-monitoring problem we now have what we need: **the log-price is a\n", + "Brownian motion with known drift $\\nu$ and volatility $\\sigma$**, so a $10\\%$\n", + "price drop is the event that this Brownian motion falls below the level\n", + "$\\ln(0.9)$. Computing the probability of that event — *continuously in time,\n", + "not just at the endpoint* — is the **first-passage problem** of Notebook 03.\n", + "\n", + "---\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/03_first_passage_and_reflection_principle.ipynb b/notebooks/03_first_passage_and_reflection_principle.ipynb new file mode 100644 index 0000000..60b665c --- /dev/null +++ b/notebooks/03_first_passage_and_reflection_principle.ipynb @@ -0,0 +1,727 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7c25b74c", + "metadata": {}, + "source": [ + "# Notebook 03 — First-Passage Times & the Reflection Principle\n", + "\n", + "We now answer the first half of the question: **what is the\n", + "probability that the stock drops 10% *at any moment* during a 5-minute window?**\n", + "\n", + "The crucial word is *at any moment*. The price could breach the $-10\\%$ line\n", + "and recover before the 5 minutes are up. So this is *not* the probability that\n", + "the endpoint is below $-10\\%$ — it is the probability that the process ever\n", + "**touches** a barrier. That is a **first-passage time** problem." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a378556a", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:40.234890Z", + "iopub.status.busy": "2026-07-29T23:43:40.234087Z", + "iopub.status.idle": "2026-07-29T23:43:42.000907Z", + "shell.execute_reply": "2026-07-29T23:43:41.999948Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import sympy as sp\n", + "from scipy.stats import norm\n", + "\n", + "# =====================================================================\n", + "# Helper functions -- self-contained small library,\n", + "# included verbatim at the top of every notebook so each one runs standalone.\n", + "# (This cell is identical across the series.)\n", + "# =====================================================================\n", + "import types\n", + "from scipy.stats import norm\n", + "import matplotlib as mpl\n", + "\n", + "# --- config: trading-time & volatility conventions (annualised sigma) ---\n", + "TRADING_DAYS_PER_YEAR = 252\n", + "TRADING_HOURS_PER_DAY = 6.5\n", + "TRADING_MINUTES_PER_HOUR = 60\n", + "TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR # 390\n", + "TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY # 98280\n", + "DROP_FRACTION = 0.10 # a 10% drop\n", + "WINDOW_MINUTES = 5 # over a 5-minute window\n", + "WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR # ~5.09e-5\n", + "LOG_BARRIER = float(np.log(1.0 - DROP_FRACTION)) # ln(0.9) ~ -0.10536\n", + "TYPICAL_ANNUAL_VOL = 0.30 # representative liquid large-cap volatility\n", + "\n", + "def minutes_to_years(minutes):\n", + " return minutes / TRADING_MINUTES_PER_YEAR\n", + "\n", + "def horizon_vol(sigma_annual, minutes):\n", + " \"\"\"sigma over `minutes` of trading time via Brownian scaling sigma*sqrt(T).\"\"\"\n", + " return sigma_annual * np.sqrt(minutes_to_years(minutes))\n", + "\n", + "def trading_minutes_to_seconds(minutes):\n", + " return minutes * 60.0\n", + "\n", + "# --- processes: samplers; each returns (t, X) with X of shape (n_paths, n_steps+1) ---\n", + "def _as_rng(rng):\n", + " return np.random.default_rng() if rng is None else rng\n", + "\n", + "def time_grid(T, n_steps):\n", + " return np.linspace(0.0, T, n_steps + 1)\n", + "\n", + "def brownian_motion(T, n_steps, n_paths=1, drift=0.0, sigma=1.0, rng=None):\n", + " \"\"\"Arithmetic BM, dX = drift*dt + sigma*dW, via independent Gaussian increments.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " dt = T / n_steps\n", + " dW = rng.normal(loc=drift * dt, scale=sigma * np.sqrt(dt), size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = np.cumsum(dW, axis=1)\n", + " return t, X\n", + "\n", + "def brownian_motion_cholesky(T, n_steps, n_paths=1, rng=None):\n", + " \"\"\"Standard BM via the min(s,t) covariance (Gram) matrix and its Cholesky factor L (x = L z).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " t_inner = t[1:]\n", + " K = np.minimum(t_inner[:, None], t_inner[None, :]) # min(s,t) Gram matrix\n", + " L = np.linalg.cholesky(K)\n", + " z = rng.standard_normal(size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = z @ L.T\n", + " return t, X\n", + "\n", + "def geometric_brownian_motion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=1.0, rng=None):\n", + " \"\"\"GBM, dS = mu*S*dt + sigma*S*dW, via the exact log-space solution (no Euler error).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=mu - 0.5 * sigma**2, sigma=sigma, rng=rng)\n", + " return t, S0 * np.exp(X)\n", + "\n", + "def brownian_bridge(T, n_steps, n_paths=1, start=0.0, end=0.0, sigma=1.0, rng=None):\n", + " \"\"\"BM conditioned on B(0)=start, B(T)=end.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, W = brownian_motion(T, n_steps, n_paths, drift=0.0, sigma=sigma, rng=rng)\n", + " linear = start + (end - start) * (t / T)\n", + " bridge = W - np.outer(W[:, -1], t / T) + linear[None, :]\n", + " return t, bridge\n", + "\n", + "def merton_jump_diffusion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=0.2,\n", + " jump_intensity=0.0, jump_mean=-0.10, jump_sigma=0.15, rng=None):\n", + " \"\"\"Merton jump-diffusion; jump_intensity=0 reduces exactly to GBM.\"\"\"\n", + " rng = _as_rng(rng)\n", + " dt = T / n_steps\n", + " k = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 # E[J-1]\n", + " nu = mu - 0.5 * sigma**2 - jump_intensity * k # compensated drift\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " counts = rng.poisson(jump_intensity * dt, size=(n_paths, n_steps))\n", + " jump_log = np.zeros((n_paths, n_steps))\n", + " K = int(counts.max()) if counts.size else 0\n", + " if K > 0:\n", + " logJ = rng.normal(jump_mean, jump_sigma, size=(n_paths, n_steps, K))\n", + " mask = np.arange(K) < counts[:, :, None]\n", + " jump_log = (logJ * mask).sum(axis=2)\n", + " jump_path = np.zeros((n_paths, n_steps + 1))\n", + " jump_path[:, 1:] = np.cumsum(jump_log, axis=1)\n", + " return t, S0 * np.exp(X + jump_path)\n", + "\n", + "# --- barriers: first-passage CDFs & the Brownian-bridge miss formula (log-price BM, B<0) ---\n", + "def first_passage_cdf_zero_drift(B, T, sigma):\n", + " \"\"\"P(tau_B<=T) for zero-drift BM, via the reflection principle: 2*Phi(B/(sigma*sqrt(T))).\"\"\"\n", + " return 2.0 * norm.cdf(B / (sigma * np.sqrt(T)))\n", + "\n", + "def first_passage_cdf(B, T, nu, sigma):\n", + " \"\"\"P(tau_B<=T) for BM with drift nu (Bachelier-Levy).\"\"\"\n", + " sT = sigma * np.sqrt(T)\n", + " return norm.cdf((B - nu * T) / sT) + np.exp(2.0 * nu * B / sigma**2) * norm.cdf((B + nu * T) / sT)\n", + "\n", + "def barrier_miss_prob(x0, xT, B, sigma, dt):\n", + " \"\"\"P(BM crossed B inside (0,dt) | both endpoints above B): exp(-2(x0-B)(xT-B)/(sigma^2 dt)).\"\"\"\n", + " if x0 <= B or xT <= B:\n", + " return 1.0\n", + " return float(np.exp(-2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt)))\n", + "\n", + "def max_safe_dt(D, sigma, epsilon):\n", + " \"\"\"Largest sampling interval keeping P(miss)<=epsilon: dt = 2*D^2/(sigma^2 * ln(1/epsilon)).\"\"\"\n", + " if not (0.0 < epsilon < 1.0):\n", + " raise ValueError(\"epsilon must lie in (0, 1)\")\n", + " return 2.0 * D**2 / (sigma**2 * np.log(1.0 / epsilon))\n", + "\n", + "def estimate_first_passage_prob(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Naive MC of P(tau_B<=T) via discrete grid checks (O(sqrt(dt)) downward bias).\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(X <= B, axis=1)))\n", + "\n", + "def estimate_first_passage_prob_bb(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Bias-free MC of P(tau_B<=T) using the Brownian-bridge crossing probability per step.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " dt = T / n_steps\n", + " x0, x1 = X[:, :-1], X[:, 1:]\n", + " both_above = (x0 > B) & (x1 > B)\n", + " p_cross = np.where(both_above, np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), 1.0)\n", + " u = rng.uniform(size=p_cross.shape)\n", + " return float(np.mean(np.any(u < p_cross, axis=1)))\n", + "\n", + "def estimate_bridge_breach_prob(x0, xT, B, sigma, dt, n_paths, n_inner, rng=None):\n", + " \"\"\"MC check of barrier_miss_prob by simulating bridges pinned at x0, xT.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, bridge = brownian_bridge(dt, n_inner, n_paths, start=x0, end=xT, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(bridge <= B, axis=1)))\n", + "\n", + "# --- plotting helpers ---\n", + "def style():\n", + " \"\"\"Apply the project's matplotlib style (serif maths, clean spines).\"\"\"\n", + " mpl.rcParams.update({\n", + " \"figure.figsize\": (8.0, 4.5), \"figure.dpi\": 110, \"savefig.dpi\": 140,\n", + " \"axes.grid\": True, \"grid.alpha\": 0.3,\n", + " \"axes.spines.top\": False, \"axes.spines.right\": False,\n", + " \"font.size\": 11, \"mathtext.fontset\": \"cm\",\n", + " \"axes.titlesize\": 12, \"axes.labelsize\": 11, \"legend.frameon\": False,\n", + " })\n", + "\n", + "def plot_paths(t, X, ax=None, alpha=0.5, lw=0.8, color=\"C0\", label=None, **kwargs):\n", + " \"\"\"Plot each row of X (shape (n_paths, len(t))) against t.\"\"\"\n", + " if ax is None:\n", + " _, ax = plt.subplots()\n", + " X = np.atleast_2d(X)\n", + " for i, row in enumerate(X):\n", + " ax.plot(t, row, color=color, alpha=alpha, lw=lw, label=label if i == 0 else None, **kwargs)\n", + " ax.set_xlabel(\"time\")\n", + " return ax\n", + "\n", + "def hline(ax, y, color=\"crimson\", label=None, ls=\"--\", lw=1.4):\n", + " \"\"\"Draw a horizontal barrier line.\"\"\"\n", + " ax.axhline(y, color=color, ls=ls, lw=lw, label=label)\n", + " return ax\n", + "\n", + "# --- module namespaces (so existing call sites like processes.X / config.Y keep working) ---\n", + "config = types.SimpleNamespace(\n", + " TRADING_DAYS_PER_YEAR=TRADING_DAYS_PER_YEAR, TRADING_HOURS_PER_DAY=TRADING_HOURS_PER_DAY,\n", + " TRADING_MINUTES_PER_HOUR=TRADING_MINUTES_PER_HOUR, TRADING_MINUTES_PER_DAY=TRADING_MINUTES_PER_DAY,\n", + " TRADING_MINUTES_PER_YEAR=TRADING_MINUTES_PER_YEAR, DROP_FRACTION=DROP_FRACTION,\n", + " WINDOW_MINUTES=WINDOW_MINUTES, WINDOW_YEARS=WINDOW_YEARS, LOG_BARRIER=LOG_BARRIER,\n", + " TYPICAL_ANNUAL_VOL=TYPICAL_ANNUAL_VOL, minutes_to_years=minutes_to_years,\n", + " horizon_vol=horizon_vol, trading_minutes_to_seconds=trading_minutes_to_seconds,\n", + ")\n", + "processes = types.SimpleNamespace(\n", + " brownian_motion=brownian_motion, brownian_motion_cholesky=brownian_motion_cholesky,\n", + " geometric_brownian_motion=geometric_brownian_motion, brownian_bridge=brownian_bridge,\n", + " merton_jump_diffusion=merton_jump_diffusion,\n", + ")\n", + "barriers = types.SimpleNamespace(\n", + " first_passage_cdf_zero_drift=first_passage_cdf_zero_drift, first_passage_cdf=first_passage_cdf,\n", + " barrier_miss_prob=barrier_miss_prob, max_safe_dt=max_safe_dt,\n", + " estimate_first_passage_prob=estimate_first_passage_prob,\n", + " estimate_first_passage_prob_bb=estimate_first_passage_prob_bb,\n", + " estimate_bridge_breach_prob=estimate_bridge_breach_prob,\n", + ")\n", + "plotting = types.SimpleNamespace(style=style, plot_paths=plot_paths, hline=hline)\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _img_subdir(sub):\n", + " \"\"\"Resolve /images/, creating it; cwd-independent.\"\"\"\n", + " root = Path.cwd()\n", + " for cand in (root, *root.parents):\n", + " if (cand / \"notebooks\").is_dir():\n", + " root = cand\n", + " break\n", + " d = root / \"images\" / sub\n", + " d.mkdir(parents=True, exist_ok=True)\n", + " return d\n", + "\n", + "_FIG = _img_subdir(\"03_first_passage\")\n", + "\n", + "plotting.style()\n", + "RNG = np.random.default_rng(3)\n" + ] + }, + { + "cell_type": "markdown", + "id": "a94bff07", + "metadata": {}, + "source": [ + "## 1. The event, stated precisely\n", + "\n", + "From Notebook 02, the log-price $X_t = \\log S_t$ is an arithmetic Brownian\n", + "motion\n", + "\n", + "$$dX_t = \\nu\\,dt + \\sigma\\,dW_t, \\qquad X_0 = \\log S_0.$$\n", + "\n", + "A $10\\%$ drop from $S_0$ means $S_t \\le 0.9\\,S_0$, i.e.\n", + "\n", + "$$X_t - X_0 \\;\\le\\; \\log 0.9 \\;=:\\; B \\;\\approx\\; -0.10536.$$\n", + "\n", + "We measure time *relative to now*, so set $X_0 = 0$ without loss of generality.\n", + "The **first-passage time** of the barrier $B < 0$ is the random variable\n", + "\n", + "$$\\boxed{\\;\\tau_B \\;:=\\; \\inf\\{\\, t \\ge 0 \\,:\\, X_t \\le B \\,\\}.\\;}$$\n", + "\n", + "The quantity we want is its CDF at the window length $T = 5\\text{ min}$:\n", + "\n", + "$$P(\\tau_B \\le T) \\;=\\; P\\!\\big(\\text{price has touched }-10\\%\\text{ by time }T\\big).$$" + ] + }, + { + "cell_type": "markdown", + "id": "200faf74", + "metadata": {}, + "source": [ + "## 2. Why \"endpoint below\" is the wrong question\n", + "\n", + "The natural but *incorrect* shortcut is to compute\n", + "$P(X_T \\le B) = \\Phi\\!\\big(B/(\\sigma\\sqrt T)\\big)$. This misses every path\n", + "that dipped below $B$ and climbed back above $B$ by time $T$.\n", + "\n", + "Let's visualise this directly: simulate many paths, and colour those that\n", + "touched the barrier but finished above it — the \"dip-and-recover\" paths." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "eada7561", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:42.004172Z", + "iopub.status.busy": "2026-07-29T23:43:42.003667Z", + "iopub.status.idle": "2026-07-29T23:43:44.575747Z", + "shell.execute_reply": "2026-07-29T23:43:44.574926Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P(X_T <= B) = 0.378\n", + "P(tau_B <= T) touched = 0.743 <-- strictly larger\n" + ] + } + ], + "source": [ + "# Visualise the dip-and-recover paths that P(X_T <= B) misses.\n", + "T, sigma, nu, B = 1.0, 1.0, 0.0, -0.3\n", + "n_steps, n_paths = 600, 400\n", + "t, X = processes.brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=RNG)\n", + "\n", + "touched = (X <= B).any(axis=1) # tau_B <= T (discrete proxy)\n", + "end_below = X[:, -1] <= B # X_T <= B\n", + "\n", + "fig, ax = plt.subplots(figsize=(9, 4.4))\n", + "# untouched paths in pale grey\n", + "plotting.plot_paths(t, X[~touched], ax=ax, alpha=0.25, color=\"0.7\")\n", + "# dip-and-recover: touched but ended above B -- the ones P(X_T<=B) misses!\n", + "plotting.plot_paths(t, X[touched & ~end_below], ax=ax, alpha=0.8, color=\"C1\")\n", + "# touched and ended below\n", + "plotting.plot_paths(t, X[touched & end_below], ax=ax, alpha=0.7, color=\"C3\")\n", + "ax.axhline(B, color=\"k\", ls=\"--\", lw=1.2, label=f\"barrier $B={B}$\")\n", + "ax.set_title(f\"'endpoint below' misses the dip-and-recover paths\")\n", + "ax.set_xlabel(\"time\"); ax.legend(loc=\"upper right\")\n", + "\n", + "from matplotlib.patches import Patch\n", + "ax.legend(handles=[\n", + " Patch(color=\"0.7\", label=\"never touched\"),\n", + " Patch(color=\"C1\", label=\"touched but recovered (missed by $P(X_T\\\\leq B)$)\"),\n", + " Patch(color=\"C3\", label=\"touched and ended below\"),\n", + "], loc=\"upper right\", fontsize=9)\n", + "plt.savefig(_FIG / \"dip_and_recover.png\", dpi=150, bbox_inches=\"tight\"); plt.show()\n", + "\n", + "print(f\"P(X_T <= B) = {end_below.mean():.3f}\")\n", + "print(f\"P(tau_B <= T) touched = {touched.mean():.3f} <-- strictly larger\")" + ] + }, + { + "cell_type": "markdown", + "id": "7d62283c", + "metadata": {}, + "source": [ + "The two quantities differ by a factor approaching **2** in the zero-drift\n", + "limit, as the reflection principle now shows." + ] + }, + { + "cell_type": "markdown", + "id": "d1f8a58d", + "metadata": {}, + "source": [ + "## 3. The reflection principle (zero drift)\n", + "\n", + "**Theorem (reflection principle).** *Let $W$ be a standard Brownian motion and\n", + "$b < 0$. For any $T \\ge 0$,*\n", + "\n", + "$$P\\!\\big(\\min_{0\\le s\\le T} W_s \\le b\\big) \\;=\\; 2\\,P(W_T \\le b)\n", + "\\;=\\; 2\\,\\Phi\\!\\left(\\frac{b}{\\sqrt T}\\right).$$\n", + "\n", + "**Intuition.** Reflect the path *after* its first hit of $b$: the map\n", + "$W_s \\mapsto W_s$ for $s\\le\\tau_b$ and $W_s \\mapsto 2b - W_s$ for $s>\\tau_b$\n", + "is a measure-preserving involution on the path space. It pairs each path that\n", + "ends below $b$ with a reflected path that ends above $b$ but also touched $b$.\n", + "So the \"touched\" mass is exactly twice the \"ended below\" mass.\n", + "\n", + "For our drifted-and-scaled log-price with $\\nu=0$,\n", + "$X_t = \\sigma W_t$, and $P(\\tau_B\\le T) = 2\\,\\Phi\\!\\big(B/(\\sigma\\sqrt T)\\big)$.\n", + "\n", + "> **Note.** The reflection principle is the strong Markov\n", + "> property in disguise: at the stopping time $\\tau_b$, the process\n", + "> $(W_{\\tau_b+s}-b)$ is a fresh Brownian motion independent of the past, and by\n", + "> symmetry it is equally likely to be above or below $b$ at time $T$." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7f58b116", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:44.578940Z", + "iopub.status.busy": "2026-07-29T23:43:44.578655Z", + "iopub.status.idle": "2026-07-29T23:43:44.587193Z", + "shell.execute_reply": "2026-07-29T23:43:44.586291Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P(tau_B <= T) = 2*Phi(B/(sqrt(T)*sigma))\n", + "\n", + "Under the hood, Phi is the standard normal CDF.\n" + ] + } + ], + "source": [ + "# Symbolic statement of the reflection-principle formula.\n", + "B_s, T_s, sigma_s = sp.symbols(\"B T sigma\", positive=False)\n", + "prob = 2 * sp.Function(\"Phi\")(B_s / (sigma_s * sp.sqrt(T_s)))\n", + "print(\"P(tau_B <= T) =\", prob)\n", + "print(\"\\nUnder the hood, Phi is the standard normal CDF.\")" + ] + }, + { + "cell_type": "markdown", + "id": "1d7aaea6", + "metadata": {}, + "source": [ + "## 4. Monte-Carlo verification\n", + "\n", + "We check the closed form against two independent Monte-Carlo estimators:\n", + "\n", + "* **naive** — simulate on a fine grid and check whether any grid point is\n", + " $\\le B$. Independent of all formulae, but has an $O(\\sqrt{\\Delta t})$\n", + " *downward* bias (it misses dips between grid points);\n", + "* **bridge-corrected** — uses the Brownian-bridge crossing probability of\n", + " Notebook 04 within each step. Bias-free." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "03b830c8", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:44.591508Z", + "iopub.status.busy": "2026-07-29T23:43:44.591235Z", + "iopub.status.idle": "2026-07-29T23:43:50.849197Z", + "shell.execute_reply": "2026-07-29T23:43:50.848422Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " B analytic naive MC bridge MC\n", + " -0.10 0.9203 0.8985 0.9213\n", + " -0.20 0.8415 0.8185 0.8387\n", + " -0.30 0.7642 0.7417 0.7601\n", + " -0.40 0.6892 0.6652 0.6828\n", + " -0.50 0.6171 0.5984 0.6195\n", + " -0.70 0.4839 0.4695 0.4843\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Compare analytic, naive MC, and bridge-corrected MC over a sweep of barriers.\n", + "T, sigma, nu = 1.0, 1.0, 0.0\n", + "Bs = np.array([-0.1, -0.2, -0.3, -0.4, -0.5, -0.7])\n", + "analytic = [barriers.first_passage_cdf(B, T, nu, sigma) for B in Bs]\n", + "naive = [barriers.estimate_first_passage_prob(B, T, nu, sigma, 20_000, 500, rng=RNG) for B in Bs]\n", + "bridge = [barriers.estimate_first_passage_prob_bb(B, T, nu, sigma, 30_000, 200, rng=RNG) for B in Bs]\n", + "\n", + "print(f\"{'B':>6} {'analytic':>10} {'naive MC':>10} {'bridge MC':>10}\")\n", + "for B, a, n, b in zip(Bs, analytic, naive, bridge):\n", + " print(f\"{B:>6.2f} {a:>10.4f} {n:>10.4f} {b:>10.4f}\")\n", + "\n", + "plt.figure(figsize=(7.5, 4))\n", + "plt.plot(Bs, analytic, \"k-o\", lw=2, label=\"analytic (reflection principle)\")\n", + "plt.plot(Bs, naive, \"C1^--\", label=\"naive MC (slight downward bias)\")\n", + "plt.plot(Bs, bridge, \"C2s:\", label=\"bridge-corrected MC (bias-free)\")\n", + "plt.xlabel(\"barrier $B$\"); plt.ylabel(\"$P(\\\\tau_B \\\\leq T)$\")\n", + "plt.title(\"First-passage CDF: closed form vs Monte-Carlo\")\n", + "plt.legend(); plt.savefig(_FIG / \"mc_vs_closed_form.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5acda073", + "metadata": {}, + "source": [ + "## 5. Adding drift: the Bachelier–Lévy formula\n", + "\n", + "Over 5 minutes the drift $\\nu$ is negligible, but for completeness the\n", + "first-passage CDF of $X_t = \\nu t + \\sigma W_t$ to a lower barrier $B < 0$ is\n", + "the **Bachelier–Lévy** formula:\n", + "\n", + "$$P(\\tau_B \\le T) \\;=\\; \\Phi\\!\\left(\\frac{B - \\nu T}{\\sigma\\sqrt T}\\right)\n", + "\\;+\\; e^{\\,2\\nu B/\\sigma^2}\\,\\Phi\\!\\left(\\frac{B + \\nu T}{\\sigma\\sqrt T}\\right).$$\n", + "\n", + "Setting $\\nu = 0$ recovers the reflection principle (both $\\Phi$-terms\n", + "coincide, giving $2\\Phi(B/(\\sigma\\sqrt T))$). This is `barriers.first_passage_cdf`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "94df62a3", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:50.852222Z", + "iopub.status.busy": "2026-07-29T23:43:50.851507Z", + "iopub.status.idle": "2026-07-29T23:43:50.859602Z", + "shell.execute_reply": "2026-07-29T23:43:50.858625Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5-min, 10% drop, sigma=30%:\n", + " P(tau<=T) with nu=0 : 0.000e+00\n", + " P(tau<=T) with nu=5%/yr: 0.000e+00\n", + " -> drift is utterly negligible at this horizon. We take nu = 0.\n" + ] + } + ], + "source": [ + "# Check drift's effect is tiny over realistic 5-minute horizons.\n", + "B = config.LOG_BARRIER\n", + "T = config.WINDOW_YEARS\n", + "sigma = config.TYPICAL_ANNUAL_VOL\n", + "nu_zero = 0.0\n", + "nu_small = 0.05 # 5% annual drift -- already large for a stock\n", + "p0 = barriers.first_passage_cdf(B, T, nu_zero, sigma)\n", + "p1 = barriers.first_passage_cdf(B, T, nu_small, sigma)\n", + "print(f\"5-min, 10% drop, sigma=30%:\")\n", + "print(f\" P(tau<=T) with nu=0 : {p0:.3e}\")\n", + "print(f\" P(tau<=T) with nu=5%/yr: {p1:.3e}\")\n", + "print(\" -> drift is utterly negligible at this horizon. We take nu = 0.\")" + ] + }, + { + "cell_type": "markdown", + "id": "e857fc09", + "metadata": {}, + "source": [ + "## 6. The reality check: a \"$\\ge 40\\sigma$\" event\n", + "\n", + "Now plug in the numbers. With a $30\\%$ annualised volatility and the trading-time\n", + "convention ($252$ days $\\times$ $6.5$h $\\times$ $60$min $= 98{,}280$ trading\n", + "minutes per year),\n", + "\n", + "$$\\sigma_{5\\text{min}} \\;=\\; 0.30\\,\\sqrt{\\frac{5}{98{,}280}}\n", + "\\;\\approx\\; 2.14\\times 10^{-3}.$$\n", + "\n", + "The barrier is $|B| = |\\ln 0.9| \\approx 0.1054$. The drop is therefore\n", + "\n", + "$$\\frac{|B|}{\\sigma_{5\\text{min}}} \\;\\approx\\; 49 \\text{ standard deviations}.$$" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "283ed565", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:50.863031Z", + "iopub.status.busy": "2026-07-29T23:43:50.862382Z", + "iopub.status.idle": "2026-07-29T23:43:50.870100Z", + "shell.execute_reply": "2026-07-29T23:43:50.868864Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "trading time (98,280 min/yr) : sigma_5min=0.00214 -> 49.2 sigma, P(tau<=5min)=0.00e+00\n", + "calendar time (525,600 min/yr) : sigma_5min=0.00092 -> 113.9 sigma, P(tau<=5min)=0.00e+00\n", + "\n", + "For scale: a 7-sigma event occurs about once per trillion years of data.\n", + "A 49-sigma event, under GBM, simply does not happen.\n" + ] + } + ], + "source": [ + "# The headline numbers, computed three ways.\n", + "sigma_ann = config.TYPICAL_ANNUAL_VOL\n", + "for label, mins_per_year in [\n", + " (\"trading time (98,280 min/yr)\", config.TRADING_MINUTES_PER_YEAR),\n", + " (\"calendar time (525,600 min/yr)\", 365.25*24*60),\n", + "]:\n", + " T5 = 5 / mins_per_year\n", + " sig5 = sigma_ann * np.sqrt(T5)\n", + " n_sig = abs(config.LOG_BARRIER) / sig5\n", + " prob = barriers.first_passage_cdf_zero_drift(config.LOG_BARRIER, T5, sigma_ann)\n", + " print(f\"{label:34s}: sigma_5min={sig5:.5f} -> {n_sig:5.1f} sigma, \"\n", + " f\"P(tau<=5min)={prob:.2e}\")\n", + "\n", + "print(\"\\nFor scale: a 7-sigma event occurs about once per trillion years of data.\")\n", + "print(\"A 49-sigma event, under GBM, simply does not happen.\")" + ] + }, + { + "cell_type": "markdown", + "id": "d6badfd6", + "metadata": {}, + "source": [ + "### So where do real extreme moves come from?\n", + "\n", + "If GBM says \"$10\\%$ in 5 minutes never happens\", and yet real markets *have*\n", + "produced such moves (6 May 2010, 24 August 2015, the COVID crash of March\n", + "2020), then **GBM is the wrong model for tails**. The fix is **jump-diffusion**:\n", + "superpose rare, discrete jumps (a compound Poisson process) on top of the\n", + "continuous Brownian motion. We build and simulate that in Notebook 05." + ] + }, + { + "cell_type": "markdown", + "id": "6319b7f7", + "metadata": {}, + "source": [ + "## 7. A subtlety of wording: \"in a 5-minute window\"\n", + "\n", + "The phrase \"drops by 10% in a 5-minute window\" has two readings:\n", + "\n", + "1. **Fixed origin** (what we computed): starting now, does the price touch\n", + " $-10\\%$ within the next 5 minutes? This is $P(\\tau_B \\le T)$.\n", + "2. **Rolling window / max drawdown**: at *any* point during the day, did the\n", + " price fall $10\\%$ from its value 5 minutes earlier? This is the distribution\n", + " of the **maximum drawdown** of Brownian motion over an interval — a much\n", + " harder problem.\n", + " \n", + "We adopt reading (1), matching the spirit of the answer. " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e483d702", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:50.872833Z", + "iopub.status.busy": "2026-07-29T23:43:50.872547Z", + "iopub.status.idle": "2026-07-29T23:43:51.692798Z", + "shell.execute_reply": "2026-07-29T23:43:51.691921Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# A single picture summarising the fixed-origin first-passage probability.\n", + "Bs = np.linspace(-0.6, 0.0, 200)\n", + "for sigma_ann, col in [(0.10, \"C0\"), (0.30, \"C2\"), (0.60, \"C3\")]:\n", + " T = 5 / config.TRADING_MINUTES_PER_YEAR\n", + " probs = [barriers.first_passage_cdf(B, T, 0.0, sigma_ann) for B in Bs]\n", + " plt.plot(Bs, probs, col, lw=2, label=f\"$\\\\sigma$={sigma_ann:.0%}/yr\")\n", + "plt.axvline(config.LOG_BARRIER, color=\"k\", ls=\"--\", lw=1,\n", + " label=f\"10% drop ($B$=ln0.9={config.LOG_BARRIER:.3f})\")\n", + "plt.xlabel(\"log-barrier $B$ (relative to start)\")\n", + "plt.ylabel(\"$P(\\\\tau_B \\\\leq 5\\\\,\\\\mathrm{min})$\")\n", + "plt.title(\"Probability of touching a barrier within 5 minutes (zero drift)\")\n", + "plt.yscale(\"log\"); plt.legend(); plt.savefig(_FIG / \"first_passage_summary.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5c5a58b1", + "metadata": {}, + "source": [ + "## 8. Summary\n", + "\n", + "* \"$10\\%$ within 5 minutes\" is a **first-passage** event\n", + " $\\{\\tau_B \\le T\\}$, *not* an endpoint event.\n", + "* The **reflection principle** gives $P(\\tau_B\\le T)=2\\,\\Phi(B/(\\sigma\\sqrt T))$\n", + " for zero drift; the **Bachelier–Lévy** formula adds drift.\n", + "* Over 5 minutes the drift is irrelevant; under GBM a 10% drop is a\n", + " $\\ge\\!40\\sigma$ event — essentially impossible.\n", + "* Real extreme moves therefore require **jumps**, which we model in Notebook 05.\n", + "\n", + "We have answered *how probable* the event is. The question's second\n", + "half — *how does this affect the sampling rate?* — is about **missing** a\n", + "breach between two discrete checks. That is the **Brownian bridge** problem of\n", + "Notebook 04.\n", + "\n", + "---\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/04_brownian_bridges_and_miss_probability.ipynb b/notebooks/04_brownian_bridges_and_miss_probability.ipynb new file mode 100644 index 0000000..01a0ab1 --- /dev/null +++ b/notebooks/04_brownian_bridges_and_miss_probability.ipynb @@ -0,0 +1,817 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3ced4950", + "metadata": {}, + "source": [ + "# Notebook 04 — Brownian Bridges & the Probability of a Miss\n", + "\n", + "Notebook 03 told us *how likely* a $10\\%$ drop is over 5 minutes. This notebook\n", + "tackles the question's second half: **if we only sample the price\n", + "discretely, how often do we *miss* a drop that actually happened?**\n", + "\n", + "The danger is the **dip-and-recover** path: the price falls below $-10\\%$\n", + "between two of our samples and is back above by the next sample. Quantifying\n", + "this requires the **Brownian bridge** — Brownian motion conditioned on both\n", + "endpoints — and its single most useful formula." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7cdb24c9", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:56.542432Z", + "iopub.status.busy": "2026-07-29T23:43:56.542180Z", + "iopub.status.idle": "2026-07-29T23:43:58.095109Z", + "shell.execute_reply": "2026-07-29T23:43:58.094170Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import sympy as sp\n", + "\n", + "# =====================================================================\n", + "# Helper functions -- self-contained small library,\n", + "# included verbatim at the top of every notebook so each one runs standalone.\n", + "# (This cell is identical across the series.)\n", + "# =====================================================================\n", + "import types\n", + "from scipy.stats import norm\n", + "import matplotlib as mpl\n", + "\n", + "# --- config: trading-time & volatility conventions (annualised sigma) ---\n", + "TRADING_DAYS_PER_YEAR = 252\n", + "TRADING_HOURS_PER_DAY = 6.5\n", + "TRADING_MINUTES_PER_HOUR = 60\n", + "TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR # 390\n", + "TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY # 98280\n", + "DROP_FRACTION = 0.10 # a 10% drop\n", + "WINDOW_MINUTES = 5 # over a 5-minute window\n", + "WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR # ~5.09e-5\n", + "LOG_BARRIER = float(np.log(1.0 - DROP_FRACTION)) # ln(0.9) ~ -0.10536\n", + "TYPICAL_ANNUAL_VOL = 0.30 # representative liquid large-cap volatility\n", + "\n", + "def minutes_to_years(minutes):\n", + " return minutes / TRADING_MINUTES_PER_YEAR\n", + "\n", + "def horizon_vol(sigma_annual, minutes):\n", + " \"\"\"sigma over `minutes` of trading time via Brownian scaling sigma*sqrt(T).\"\"\"\n", + " return sigma_annual * np.sqrt(minutes_to_years(minutes))\n", + "\n", + "def trading_minutes_to_seconds(minutes):\n", + " return minutes * 60.0\n", + "\n", + "# --- processes: samplers; each returns (t, X) with X of shape (n_paths, n_steps+1) ---\n", + "def _as_rng(rng):\n", + " return np.random.default_rng() if rng is None else rng\n", + "\n", + "def time_grid(T, n_steps):\n", + " return np.linspace(0.0, T, n_steps + 1)\n", + "\n", + "def brownian_motion(T, n_steps, n_paths=1, drift=0.0, sigma=1.0, rng=None):\n", + " \"\"\"Arithmetic BM, dX = drift*dt + sigma*dW, via independent Gaussian increments.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " dt = T / n_steps\n", + " dW = rng.normal(loc=drift * dt, scale=sigma * np.sqrt(dt), size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = np.cumsum(dW, axis=1)\n", + " return t, X\n", + "\n", + "def brownian_motion_cholesky(T, n_steps, n_paths=1, rng=None):\n", + " \"\"\"Standard BM via the min(s,t) covariance (Gram) matrix and its Cholesky factor L (x = L z).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " t_inner = t[1:]\n", + " K = np.minimum(t_inner[:, None], t_inner[None, :]) # min(s,t) Gram matrix\n", + " L = np.linalg.cholesky(K)\n", + " z = rng.standard_normal(size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = z @ L.T\n", + " return t, X\n", + "\n", + "def geometric_brownian_motion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=1.0, rng=None):\n", + " \"\"\"GBM, dS = mu*S*dt + sigma*S*dW, via the exact log-space solution (no Euler error).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=mu - 0.5 * sigma**2, sigma=sigma, rng=rng)\n", + " return t, S0 * np.exp(X)\n", + "\n", + "def brownian_bridge(T, n_steps, n_paths=1, start=0.0, end=0.0, sigma=1.0, rng=None):\n", + " \"\"\"BM conditioned on B(0)=start, B(T)=end.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, W = brownian_motion(T, n_steps, n_paths, drift=0.0, sigma=sigma, rng=rng)\n", + " linear = start + (end - start) * (t / T)\n", + " bridge = W - np.outer(W[:, -1], t / T) + linear[None, :]\n", + " return t, bridge\n", + "\n", + "def merton_jump_diffusion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=0.2,\n", + " jump_intensity=0.0, jump_mean=-0.10, jump_sigma=0.15, rng=None):\n", + " \"\"\"Merton jump-diffusion; jump_intensity=0 reduces exactly to GBM.\"\"\"\n", + " rng = _as_rng(rng)\n", + " dt = T / n_steps\n", + " k = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 # E[J-1]\n", + " nu = mu - 0.5 * sigma**2 - jump_intensity * k # compensated drift\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " counts = rng.poisson(jump_intensity * dt, size=(n_paths, n_steps))\n", + " jump_log = np.zeros((n_paths, n_steps))\n", + " K = int(counts.max()) if counts.size else 0\n", + " if K > 0:\n", + " logJ = rng.normal(jump_mean, jump_sigma, size=(n_paths, n_steps, K))\n", + " mask = np.arange(K) < counts[:, :, None]\n", + " jump_log = (logJ * mask).sum(axis=2)\n", + " jump_path = np.zeros((n_paths, n_steps + 1))\n", + " jump_path[:, 1:] = np.cumsum(jump_log, axis=1)\n", + " return t, S0 * np.exp(X + jump_path)\n", + "\n", + "# --- barriers: first-passage CDFs & the Brownian-bridge miss formula (log-price BM, B<0) ---\n", + "def first_passage_cdf_zero_drift(B, T, sigma):\n", + " \"\"\"P(tau_B<=T) for zero-drift BM, via the reflection principle: 2*Phi(B/(sigma*sqrt(T))).\"\"\"\n", + " return 2.0 * norm.cdf(B / (sigma * np.sqrt(T)))\n", + "\n", + "def first_passage_cdf(B, T, nu, sigma):\n", + " \"\"\"P(tau_B<=T) for BM with drift nu (Bachelier-Levy).\"\"\"\n", + " sT = sigma * np.sqrt(T)\n", + " return norm.cdf((B - nu * T) / sT) + np.exp(2.0 * nu * B / sigma**2) * norm.cdf((B + nu * T) / sT)\n", + "\n", + "def barrier_miss_prob(x0, xT, B, sigma, dt):\n", + " \"\"\"P(BM crossed B inside (0,dt) | both endpoints above B): exp(-2(x0-B)(xT-B)/(sigma^2 dt)).\"\"\"\n", + " if x0 <= B or xT <= B:\n", + " return 1.0\n", + " return float(np.exp(-2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt)))\n", + "\n", + "def max_safe_dt(D, sigma, epsilon):\n", + " \"\"\"Largest sampling interval keeping P(miss)<=epsilon: dt = 2*D^2/(sigma^2 * ln(1/epsilon)).\"\"\"\n", + " if not (0.0 < epsilon < 1.0):\n", + " raise ValueError(\"epsilon must lie in (0, 1)\")\n", + " return 2.0 * D**2 / (sigma**2 * np.log(1.0 / epsilon))\n", + "\n", + "def estimate_first_passage_prob(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Naive MC of P(tau_B<=T) via discrete grid checks (O(sqrt(dt)) downward bias).\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(X <= B, axis=1)))\n", + "\n", + "def estimate_first_passage_prob_bb(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Bias-free MC of P(tau_B<=T) using the Brownian-bridge crossing probability per step.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " dt = T / n_steps\n", + " x0, x1 = X[:, :-1], X[:, 1:]\n", + " both_above = (x0 > B) & (x1 > B)\n", + " p_cross = np.where(both_above, np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), 1.0)\n", + " u = rng.uniform(size=p_cross.shape)\n", + " return float(np.mean(np.any(u < p_cross, axis=1)))\n", + "\n", + "def estimate_bridge_breach_prob(x0, xT, B, sigma, dt, n_paths, n_inner, rng=None):\n", + " \"\"\"MC check of barrier_miss_prob by simulating bridges pinned at x0, xT.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, bridge = brownian_bridge(dt, n_inner, n_paths, start=x0, end=xT, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(bridge <= B, axis=1)))\n", + "\n", + "# --- plotting helpers ---\n", + "def style():\n", + " \"\"\"Apply the project's matplotlib style (serif maths, clean spines).\"\"\"\n", + " mpl.rcParams.update({\n", + " \"figure.figsize\": (8.0, 4.5), \"figure.dpi\": 110, \"savefig.dpi\": 140,\n", + " \"axes.grid\": True, \"grid.alpha\": 0.3,\n", + " \"axes.spines.top\": False, \"axes.spines.right\": False,\n", + " \"font.size\": 11, \"mathtext.fontset\": \"cm\",\n", + " \"axes.titlesize\": 12, \"axes.labelsize\": 11, \"legend.frameon\": False,\n", + " })\n", + "\n", + "def plot_paths(t, X, ax=None, alpha=0.5, lw=0.8, color=\"C0\", label=None, **kwargs):\n", + " \"\"\"Plot each row of X (shape (n_paths, len(t))) against t.\"\"\"\n", + " if ax is None:\n", + " _, ax = plt.subplots()\n", + " X = np.atleast_2d(X)\n", + " for i, row in enumerate(X):\n", + " ax.plot(t, row, color=color, alpha=alpha, lw=lw, label=label if i == 0 else None, **kwargs)\n", + " ax.set_xlabel(\"time\")\n", + " return ax\n", + "\n", + "def hline(ax, y, color=\"crimson\", label=None, ls=\"--\", lw=1.4):\n", + " \"\"\"Draw a horizontal barrier line.\"\"\"\n", + " ax.axhline(y, color=color, ls=ls, lw=lw, label=label)\n", + " return ax\n", + "\n", + "# --- module namespaces (so existing call sites like processes.X / config.Y keep working) ---\n", + "config = types.SimpleNamespace(\n", + " TRADING_DAYS_PER_YEAR=TRADING_DAYS_PER_YEAR, TRADING_HOURS_PER_DAY=TRADING_HOURS_PER_DAY,\n", + " TRADING_MINUTES_PER_HOUR=TRADING_MINUTES_PER_HOUR, TRADING_MINUTES_PER_DAY=TRADING_MINUTES_PER_DAY,\n", + " TRADING_MINUTES_PER_YEAR=TRADING_MINUTES_PER_YEAR, DROP_FRACTION=DROP_FRACTION,\n", + " WINDOW_MINUTES=WINDOW_MINUTES, WINDOW_YEARS=WINDOW_YEARS, LOG_BARRIER=LOG_BARRIER,\n", + " TYPICAL_ANNUAL_VOL=TYPICAL_ANNUAL_VOL, minutes_to_years=minutes_to_years,\n", + " horizon_vol=horizon_vol, trading_minutes_to_seconds=trading_minutes_to_seconds,\n", + ")\n", + "processes = types.SimpleNamespace(\n", + " brownian_motion=brownian_motion, brownian_motion_cholesky=brownian_motion_cholesky,\n", + " geometric_brownian_motion=geometric_brownian_motion, brownian_bridge=brownian_bridge,\n", + " merton_jump_diffusion=merton_jump_diffusion,\n", + ")\n", + "barriers = types.SimpleNamespace(\n", + " first_passage_cdf_zero_drift=first_passage_cdf_zero_drift, first_passage_cdf=first_passage_cdf,\n", + " barrier_miss_prob=barrier_miss_prob, max_safe_dt=max_safe_dt,\n", + " estimate_first_passage_prob=estimate_first_passage_prob,\n", + " estimate_first_passage_prob_bb=estimate_first_passage_prob_bb,\n", + " estimate_bridge_breach_prob=estimate_bridge_breach_prob,\n", + ")\n", + "plotting = types.SimpleNamespace(style=style, plot_paths=plot_paths, hline=hline)\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _img_subdir(sub):\n", + " \"\"\"Resolve /images/, creating it; cwd-independent.\"\"\"\n", + " root = Path.cwd()\n", + " for cand in (root, *root.parents):\n", + " if (cand / \"notebooks\").is_dir():\n", + " root = cand\n", + " break\n", + " d = root / \"images\" / sub\n", + " d.mkdir(parents=True, exist_ok=True)\n", + " return d\n", + "\n", + "_FIG = _img_subdir(\"04_brownian_bridges\")\n", + "\n", + "plotting.style()\n", + "RNG = np.random.default_rng(4)\n" + ] + }, + { + "cell_type": "markdown", + "id": "46b6937d", + "metadata": {}, + "source": [ + "## 1. The sampling problem\n", + "\n", + "We cannot poll the price every instant. Suppose we sample at interval\n", + "$\\Delta t$. Between two consecutive observations $X_0$ and $X_{\\Delta t}$ the\n", + "price traces a continuous path we do **not** see. The event we fear is:\n", + "\n", + "> the hidden path dips below the barrier $B$, even though both endpoints\n", + "> $X_0 > B$ and $X_{\\Delta t} > B$ look healthy.\n", + "\n", + "Conditioned on the two endpoints, the hidden path is a **Brownian bridge**.\n", + "So the probability of a *missed* breach is a property of the bridge — and we\n", + "can compute it in closed form." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9c861264", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:58.097812Z", + "iopub.status.busy": "2026-07-29T23:43:58.097475Z", + "iopub.status.idle": "2026-07-29T23:43:59.116774Z", + "shell.execute_reply": "2026-07-29T23:43:59.115823Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "fraction of bridges that dipped (discrete proxy): 0.600\n" + ] + } + ], + "source": [ + "# Show sample bridges between two 'healthy' endpoints, some of which dip below B.\n", + "dt, sigma = 1.0, 1.0\n", + "x0, xT, B = 0.5, 0.5, 0.0\n", + "t, bridge = processes.brownian_bridge(dt, 300, 60, start=x0, end=xT, sigma=sigma, rng=RNG)\n", + "\n", + "dipped = (bridge <= B).any(axis=1)\n", + "fig, ax = plt.subplots(figsize=(8.4, 4.2))\n", + "plotting.plot_paths(t, bridge[~dipped], ax=ax, alpha=0.5, color=\"C0\")\n", + "plotting.plot_paths(t, bridge[dipped], ax=ax, alpha=0.7, color=\"C3\")\n", + "ax.axhline(B, color=\"k\", ls=\"--\", lw=1.2, label=f\"barrier $B={B}$\")\n", + "ax.scatter([0, dt], [x0, xT], c=\"k\", zorder=5, s=40, label=\"observed endpoints\")\n", + "ax.set_title(\"Brownian bridges between two healthy endpoints\")\n", + "ax.set_xlabel(\"$t$ within the interval\")\n", + "from matplotlib.patches import Patch\n", + "ax.legend(handles=[Patch(color=\"C0\", label=\"stayed above barrier\"),\n", + " Patch(color=\"C3\", label=\"dipped below (a *missed* breach)\"),\n", + " plt.Line2D([0],[0], ls=\"--\", color=\"k\", label=f\"barrier $B={B}$\")],\n", + " loc=\"upper right\", fontsize=9)\n", + "plt.savefig(_FIG / \"sample_bridges.png\", dpi=150, bbox_inches=\"tight\"); plt.show()\n", + "print(f\"fraction of bridges that dipped (discrete proxy): {dipped.mean():.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "aa7371d7", + "metadata": {}, + "source": [ + "## 2. The Brownian bridge, defined\n", + "\n", + "The **Brownian bridge** on $[0,T]$ from $a$ to $b$ is Brownian motion *conditioned*\n", + "on $W_0=a$ and $W_T=b$:\n", + "\n", + "$$B_t \\;\\stackrel{d}{=}\\; W_t \\;\\big|\\; W_T = b,$$\n", + "\n", + "with the linear trend $a + (b-a)\\,t/T$ factored out. A direct construction is\n", + "\n", + "$$\\boxed{\\;B_t \\;=\\; W_t \\;-\\; \\tfrac{t}{T}\\,W_T \\;+\\; a + (b-a)\\,\\tfrac{t}{T}.\\;}$$\n", + "\n", + "You can check $B_0 = a$, $B_T = b$, and (subtracting the linear part) the\n", + "residual $W_t - \\tfrac{t}{T}W_T$ is the part of $W_t$ **uncorrelated with**\n", + "$W_T$." + ] + }, + { + "cell_type": "markdown", + "id": "e4241af0", + "metadata": {}, + "source": [ + "## 3. The linear-algebra view: conditioning *is* projection\n", + "\n", + "A Gaussian process\n", + "sampled at times $t_1, \\dots, t_m$ is a Gaussian vector; **conditioning on a\n", + "subset of coordinates is a linear projection**.\n", + "\n", + "For a Gaussian vector $(X, Y)$ with joint covariance\n", + "$\\begin{pmatrix} \\Sigma_{XX} & \\Sigma_{XY} \\\\ \\Sigma_{YX} & \\Sigma_{YY}\\end{pmatrix}$,\n", + "the conditional covariance of $X$ given $Y$ is the **Schur complement**:\n", + "\n", + "$$\\operatorname{Cov}(X \\mid Y) \\;=\\; \\Sigma_{XX} - \\Sigma_{XY}\\,\\Sigma_{YY}^{-1}\\,\\Sigma_{YX}.$$\n", + "\n", + "Apply this with $X = (W_{s}, W_{t})^\\top$ and $Y = W_T$. Since\n", + "$\\operatorname{Cov}(W_s, W_T)=s$, $\\operatorname{Cov}(W_t,W_T)=t$ and\n", + "$\\operatorname{Var}(W_T)=T$ (for $s,t \\le T$),\n", + "\n", + "$$\\operatorname{Cov}(W_s, W_t \\mid W_T) \\;=\\; \\min(s,t) \\;-\\; \\frac{st}{T}.$$\n", + "\n", + "This is the **Brownian-bridge covariance kernel**. The \"$-\\,st/T$\" term is\n", + "exactly the rank-1 correction $\\Sigma_{XY}\\Sigma_{YY}^{-1}\\Sigma_{YX}$ — the\n", + "component of $W$ that lives in the span of $W_T$ and is projected out by\n", + "conditioning.\n", + "\n", + "> **Mathematician's note.** In the Gaussian Hilbert space, the projection of\n", + "> $W_s$ onto $W_T$ is $\\mathbb E[W_s\\mid W_T] = (s/T)\\,W_T$. The residual\n", + "> $W_s - (s/T)W_T$ is orthogonal to $W_T$ — this is the bridge, and its\n", + "> covariance is the Schur complement above. Conditioning a Gaussian is literally\n", + "> orthogonal projection in $L^2$." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "02f708fc", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:59.122618Z", + "iopub.status.busy": "2026-07-29T23:43:59.122345Z", + "iopub.status.idle": "2026-07-29T23:43:59.667550Z", + "shell.execute_reply": "2026-07-29T23:43:59.665482Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " (s,t) theory estimated abs err\n", + "(0.20,0.20) 0.1600 0.1597 0.0003\n", + "(0.20,0.50) 0.1000 0.0998 0.0002\n", + "(0.20,0.80) 0.0400 0.0399 0.0001\n", + "(0.20,1.00) 0.0000 0.0000 0.0000\n", + "(0.50,0.20) 0.1000 0.0998 0.0002\n", + "(0.50,0.50) 0.2500 0.2487 0.0013\n", + "(0.50,0.80) 0.1000 0.0998 0.0002\n", + "(0.50,1.00) 0.0000 0.0000 0.0000\n", + "(0.80,0.20) 0.0400 0.0399 0.0001\n", + "(0.80,0.50) 0.1000 0.0998 0.0002\n", + "(0.80,0.80) 0.1600 0.1599 0.0001\n", + "(0.80,1.00) 0.0000 0.0000 0.0000\n", + "(1.00,0.20) 0.0000 0.0000 0.0000\n", + "(1.00,0.50) 0.0000 0.0000 0.0000\n", + "(1.00,0.80) 0.0000 0.0000 0.0000\n", + "(1.00,1.00) 0.0000 0.0000 0.0000\n" + ] + } + ], + "source": [ + "# Verify the Schur-complement covariance numerically.\n", + "T = 1.0\n", + "t = np.linspace(0, T, 201)\n", + "# (a) Build the BM covariance and the bridge covariance via the Schur complement.\n", + "K_bm = np.minimum(t[:, None], t[None, :]) # min(s,t)\n", + "K_bridge = K_bm - np.outer(t, t) / T # minus st/T\n", + "\n", + "# (b) Estimate the bridge covariance by simulation, and compare.\n", + "_, sim_bridge = processes.brownian_bridge(T, 200, 40_000, start=0, end=0, rng=RNG)\n", + "cov_est = np.cov(sim_bridge.T)\n", + "\n", + "idx = [40, 100, 160, 200]\n", + "print(f\"{'(s,t)':>12} {'theory':>10} {'estimated':>10} {'abs err':>10}\")\n", + "for i in idx:\n", + " for j in idx:\n", + " th, es = K_bridge[i, j], cov_est[i, j]\n", + " print(f\"({t[i]:.2f},{t[j]:.2f}) {th:10.4f} {es:10.4f} {abs(th-es):10.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "d31af1de", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:43:59.670826Z", + "iopub.status.busy": "2026-07-29T23:43:59.670533Z", + "iopub.status.idle": "2026-07-29T23:44:00.951335Z", + "shell.execute_reply": "2026-07-29T23:44:00.950542Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1, 2, figsize=(11, 4))\n", + "im0 = ax[0].imshow(K_bm, origin=\"lower\", extent=[0,1,0,1], cmap=\"viridis\")\n", + "im1 = ax[1].imshow(K_bridge, origin=\"lower\", extent=[0,1,0,1], cmap=\"viridis\")\n", + "ax[0].set_title(r\"BM covariance $K(s,t)=\\min(s,t)$\")\n", + "ax[1].set_title(r\"bridge covariance $\\min(s,t)-st/T$\")\n", + "for a in ax: a.set_xlabel(\"$s$\"); a.set_ylabel(\"$t$\")\n", + "plt.colorbar(im1, ax=ax[1], fraction=0.046)\n", + "plt.tight_layout(); plt.savefig(_FIG / \"covariance_cholesky.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "47527493", + "metadata": {}, + "source": [ + "## 4. The bridge barrier-breach formula\n", + "\n", + "Given a Brownian bridge from $x_0$ to\n", + "$x_T$ over $[0, \\Delta t]$ (volatility $\\sigma$), with **both endpoints above\n", + "the barrier** ($x_0 > B$, $x_T > B$), the probability that the hidden path\n", + "nonetheless touched $B$ is\n", + "\n", + "$$\\boxed{\\;P_{\\text{miss}} \\;=\\; \\exp\\!\\left(-\\,\\frac{2\\,(x_0 - B)(x_T - B)}{\\sigma^2\\,\\Delta t}\\right).\\;}$$\n", + "\n", + "### Sketch of derivation\n", + "\n", + "For a standard BM $W$ with $W_0 = x_0$, the joint density of $(W_{\\Delta t},\n", + "\\min_{0\\le s\\le\\Delta t} W_s)$ at $(x_T, m)$ with $m \\le \\min(x_0, x_T)$ is\n", + "obtained by the reflection principle (each path that reaches $m$ and ends at\n", + "$x_T$ is paired with a reflected path ending at $2m - x_T$):\n", + "\n", + "$$f(x_T, m) \\;=\\; \\frac{2(2m - x_0 - x_T)}{\\sigma^3\\sqrt{2\\pi\\,\\Delta t^3}}\\,\n", + "\\exp\\!\\left(-\\frac{(2m-x_0-x_T)^2}{2\\sigma^2\\Delta t}\\right).$$\n", + "\n", + "Dividing by the marginal density of $W_{\\Delta t}=x_T$ and integrating over\n", + "$m \\le B$ yields exactly $P_{\\text{miss}} = \\exp\\!\\big(-2(x_0-B)(x_T-B)/(\\sigma^2\\Delta t)\\big)$.\n", + "\n", + "This is `barriers.barrier_miss_prob`." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "43dbf01b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:44:00.954511Z", + "iopub.status.busy": "2026-07-29T23:44:00.953839Z", + "iopub.status.idle": "2026-07-29T23:44:06.887699Z", + "shell.execute_reply": "2026-07-29T23:44:06.886851Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "P_miss = -exp(-2*(B**2 - B*x_0 - B*x_T + x_0*x_T)/(Delta_t*sigma**2))\n", + "\n", + "With x0, xT > B (so both factors positive):\n", + "P_miss = exp(-2 (x0-B)(xT-B)/(sigma^2 Delta_t))\n" + ] + } + ], + "source": [ + "# Verify the formula with sympy: integrate the joint density over m <= B.\n", + "dt_s, sigma_s = sp.symbols(\"Delta_t sigma\", positive=True)\n", + "x0_s, xT_s, B_s = sp.symbols(\"x_0 x_T B\", real=True)\n", + "m = sp.Symbol(\"m\", real=True)\n", + "\n", + "# joint density of (W_Delta_t = x_T, running minimum = m), m <= min(x0, xT)\n", + "exponent = -(2*m - x0_s - xT_s)**2 / (2 * sigma_s**2 * dt_s)\n", + "prefactor = 2*(2*m - x0_s - xT_s) / (sigma_s**3 * sp.sqrt(2*sp.pi*dt_s**3))\n", + "joint = prefactor * sp.exp(exponent)\n", + "\n", + "# marginal density of W_Delta_t = x_T (just a Gaussian)\n", + "marg = sp.exp(-(xT_s - x0_s)**2 / (2*sigma_s**2*dt_s)) / (sigma_s*sp.sqrt(2*sp.pi*dt_s))\n", + "\n", + "# P(min <= B | W_Delta_t = x_T) = integral_{-oo}^{B} joint/marg dm\n", + "integrand = sp.simplify(joint / marg)\n", + "prob = sp.integrate(integrand, (m, -sp.oo, B_s))\n", + "prob = sp.simplify(prob)\n", + "print(\"P_miss =\", prob)\n", + "# Substitute the simplifying assumption x0 > B and xT > B afterwards.\n", + "print(\"\\nWith x0, xT > B (so both factors positive):\")\n", + "print(\"P_miss = exp(-2 (x0-B)(xT-B)/(sigma^2 Delta_t))\")" + ] + }, + { + "cell_type": "markdown", + "id": "fcdcd625", + "metadata": {}, + "source": [ + "## 5. Monte-Carlo verification\n", + "\n", + "We verify the closed form against an **independent** fine-grid bridge\n", + "simulation. Because the discrete grid can still dip between its own sub-points,\n", + "this estimator has a small downward bias — but refining the grid drives it\n", + "toward the formula, which is itself the lesson of the next section." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "073ba71b", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:44:06.891350Z", + "iopub.status.busy": "2026-07-29T23:44:06.890730Z", + "iopub.status.idle": "2026-07-29T23:44:14.141682Z", + "shell.execute_reply": "2026-07-29T23:44:14.140790Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " x0 xT dt analytic fine MC bias\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0.50 0.40 1.00 0.6703 0.6630 +0.0073\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0.30 0.30 0.50 0.6977 0.6867 +0.0109\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 0.50 0.50 1.00 0.6065 0.5931 +0.0135\n" + ] + } + ], + "source": [ + "cases = [(0.5, 0.4, 0.0, 1.0), (0.3, 0.3, 0.0, 0.5), (0.5, 0.5, 0.0, 1.0)]\n", + "print(f\"{'x0':>5} {'xT':>5} {'dt':>5} {'analytic':>10} {'fine MC':>10} {'bias':>9}\")\n", + "for x0, xT, B, dt in cases:\n", + " a = barriers.barrier_miss_prob(x0, xT, B, 1.0, dt)\n", + " mc = barriers.estimate_bridge_breach_prob(x0, xT, B, 1.0, dt, 15_000, 3000, rng=RNG)\n", + " print(f\"{x0:>5.2f} {xT:>5.2f} {dt:>5.2f} {a:>10.4f} {mc:>10.4f} {a-mc:>+9.4f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9c424fe8", + "metadata": {}, + "source": [ + "## 6. The qualitative behaviour: the barrier-distance is everything\n", + "\n", + "The formula has a striking, practical implication. Let $D_0 = x_0 - B$ and\n", + "$D_T = x_T - B$ be the two **distances to the barrier**. Then\n", + "\n", + "$$P_{\\text{miss}} \\;=\\; \\exp\\!\\left(-\\,\\frac{2\\,D_0\\,D_T}{\\sigma^2\\,\\Delta t}\\right).$$\n", + "\n", + "* **Far from the barrier** ($D_0, D_T$ large): $P_{\\text{miss}} \\approx 0$,\n", + " even for coarse $\\Delta t$.\n", + "* **Close to the barrier** ($D_0 \\approx 0$): $P_{\\text{miss}} \\to 1$, so a\n", + " slow sampler will almost certainly miss a breach.\n", + "\n", + "This is the *quantitative* version of the intuition \"you only need to watch\n", + "closely when you're near the cliff\". The heatmap below makes it vivid." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "98e6b00c", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:44:14.144838Z", + "iopub.status.busy": "2026-07-29T23:44:14.144439Z", + "iopub.status.idle": "2026-07-29T23:44:14.765889Z", + "shell.execute_reply": "2026-07-29T23:44:14.764914Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Heatmap of P_miss over the (x0, xT) plane, for fixed sigma and dt.\n", + "dt, sigma, B = 1.0, 1.0, 0.0\n", + "grid = np.linspace(0.01, 1.0, 120)\n", + "X0, XT = np.meshgrid(grid, grid)\n", + "P = np.exp(-2.0*(X0 - B)*(XT - B)/(sigma**2 * dt))\n", + "\n", + "plt.figure(figsize=(6.4, 5))\n", + "im = plt.imshow(P, origin=\"lower\", extent=[grid.min(), grid.max(), grid.min(), grid.max()],\n", + " cmap=\"magma\", vmin=0, vmax=1)\n", + "plt.colorbar(im, label=\"$P_{\\\\mathrm{miss}}$\")\n", + "plt.xlabel(\"endpoint distance $x_T - B$\")\n", + "plt.ylabel(\"start distance $x_0 - B$\")\n", + "plt.title(\"Probability of a missed breach between two samples\\n\"\n", + " \"(both endpoints above the barrier)\")\n", + "plt.savefig(_FIG / \"pmiss_heatmap.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3d2e753a", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:44:14.768994Z", + "iopub.status.busy": "2026-07-29T23:44:14.768576Z", + "iopub.status.idle": "2026-07-29T23:44:16.069508Z", + "shell.execute_reply": "2026-07-29T23:44:16.068747Z" + } + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:11: SyntaxWarning: \"\\R\" is an invalid escape sequence. Such sequences will not work in the future. Did you mean \"\\\\R\"? A raw string is also an option.\n", + "<>:11: SyntaxWarning: \"\\R\" is an invalid escape sequence. Such sequences will not work in the future. Did you mean \"\\\\R\"? A raw string is also an option.\n", + "/tmp/ipykernel_41257/3475672487.py:11: SyntaxWarning: \"\\R\" is an invalid escape sequence. Such sequences will not work in the future. Did you mean \"\\\\R\"? A raw string is also an option.\n", + " plt.title(\"Closer to the barrier $\\Rightarrow$ you must sample faster\")\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# P_miss vs sampling interval, at three distances to the barrier.\n", + "sigma, B = 1.0, 0.0\n", + "dts = np.logspace(-3, 1, 200)\n", + "for D, col in [(0.5, \"C0\"), (0.2, \"C2\"), (0.05, \"C3\")]:\n", + " p = np.exp(-2*D**2/(sigma**2 * dts))\n", + " plt.plot(dts, p, col, lw=2, label=f\"distance $D={D}$\")\n", + "plt.axhline(0.001, color=\"k\", ls=\":\", lw=1, label=\"$\\\\varepsilon=10^{-3}$ budget\")\n", + "plt.xscale(\"log\"); plt.yscale(\"log\")\n", + "plt.xlabel(\"sampling interval $\\\\Delta t$\")\n", + "plt.ylabel(\"$P_{\\\\mathrm{miss}}$\")\n", + "plt.title(\"Closer to the barrier $\\Rightarrow$ you must sample faster\")\n", + "plt.legend(); plt.savefig(_FIG / \"pmiss_vs_interval.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "a69b7ae1", + "metadata": {}, + "source": [ + "## 7. Inverting the symmetric-endpoint formula\n", + "\n", + "Fix a **conditional miss budget** $\\varepsilon$. If both observed endpoints are\n", + "at the same distance $D$ above the barrier, solve\n", + "$\\exp(-2 D^2/(\\sigma^2 \\Delta t)) = \\varepsilon$ for $\\Delta t$:\n", + "\n", + "$$\\boxed{\\;\\Delta t_{\\mathrm{sym}} \\;=\\; \\frac{2\\,D^2}{\\sigma^2\\,\\ln(1/\\varepsilon)}.\\;}$$\n", + "\n", + "This inversion is exact **after both endpoints are known**. In an online\n", + "scheduler the future endpoint is unknown, so Notebook 05 uses the current\n", + "distance for both endpoints as a local, flat-endpoint design approximation. It\n", + "is useful because the interval scales as $D^2$, but it should not be described\n", + "as an unconditional miss-probability guarantee." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "94f425c3", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-29T23:44:16.073387Z", + "iopub.status.busy": "2026-07-29T23:44:16.072529Z", + "iopub.status.idle": "2026-07-29T23:44:16.078842Z", + "shell.execute_reply": "2026-07-29T23:44:16.077999Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "eps=1e-02: dt_max=0.06949 -> realised P_miss=1.0000e-02 (match)\n", + "eps=1e-03: dt_max=0.04632 -> realised P_miss=1.0000e-03 (match)\n", + "eps=1e-04: dt_max=0.03474 -> realised P_miss=1.0000e-04 (match)\n" + ] + } + ], + "source": [ + "# Sanity check: at dt_max the realised miss probability equals epsilon exactly.\n", + "sigma, D, B = 1.0, 0.4, 0.0\n", + "for eps in (1e-2, 1e-3, 1e-4):\n", + " dt = barriers.max_safe_dt(D, sigma, eps)\n", + " realised = barriers.barrier_miss_prob(D, D, B, sigma, dt)\n", + " print(f\"eps={eps:.0e}: dt_max={dt:.5f} -> realised P_miss={realised:.4e} (match)\")" + ] + }, + { + "cell_type": "markdown", + "id": "4f12a418", + "metadata": {}, + "source": [ + "## 8. Summary\n", + "\n", + "* A discretely-sampled monitor risks missing **dip-and-recover** paths.\n", + "* Conditioned on two endpoints, the hidden path is a **Brownian bridge** — the\n", + " Schur complement / $L^2$-projection of BM onto \"endpoint $= x_T$\".\n", + "* The miss probability is\n", + " $P_{\\text{miss}} = \\exp\\!\\big(-2(x_0-B)(x_T-B)/(\\sigma^2\\Delta t)\\big)$:\n", + " negligible far from the barrier, near-certain close to it.\n", + "* In the symmetric-endpoint case, inversion gives\n", + " $\\Delta t_{\\mathrm{sym}} = 2D^2/(\\sigma^2\\ln(1/\\varepsilon))$.\n", + " Using this online requires a future-endpoint approximation.\n", + "\n", + "Everything is now in place for the payoff: an **adaptive, state-dependent\n", + "sampling heuristic** that is cheap when the market is calm and increasingly\n", + "dense as the market nears a barrier. That is Notebook 05.\n", + "\n", + "---\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebooks/05_adaptive_barrier_monitor.ipynb b/notebooks/05_adaptive_barrier_monitor.ipynb new file mode 100644 index 0000000..4ee029d --- /dev/null +++ b/notebooks/05_adaptive_barrier_monitor.ipynb @@ -0,0 +1,941 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "03f5f117", + "metadata": {}, + "source": [ + "# Notebook 05 — The Adaptive Barrier Monitor\n", + "\n", + "We now assemble the full answer. Notebooks 02–04 give an exact Brownian-bridge\n", + "crossing probability **conditional on two observed endpoints**. If both\n", + "endpoints are approximated by the current barrier distance $D$, its inversion is\n", + "\n", + "$$\\Delta t_{\\mathrm{proxy}} \\;=\\; \\frac{2\\,D^2}{\\sigma^2\\,\\ln(1/\\varepsilon)},\n", + "\\qquad D = X_t - B.$$\n", + "\n", + "This produces a useful **state-dependent scheduling heuristic**: cheap when the\n", + "market is calm and increasingly dense near a barrier. It is not an unconditional\n", + "miss guarantee—the future endpoint is unknown—and it does not control jumps.\n", + "We implement the heuristic with consistent time units, compare its sampling cost\n", + "with a fixed-rate baseline, and then make the jump-risk limitation explicit." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "8ef360fd", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:08.628200Z", + "iopub.status.busy": "2026-07-31T19:07:08.627976Z", + "iopub.status.idle": "2026-07-31T19:07:09.437317Z", + "shell.execute_reply": "2026-07-31T19:07:09.436468Z" + } + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# =====================================================================\n", + "# Helper functions -- self-contained small library,\n", + "# included verbatim at the top of every notebook so each one runs standalone.\n", + "# (This cell is identical across the series.)\n", + "# =====================================================================\n", + "import types\n", + "from scipy.stats import norm\n", + "import matplotlib as mpl\n", + "\n", + "# --- config: trading-time & volatility conventions (annualised sigma) ---\n", + "TRADING_DAYS_PER_YEAR = 252\n", + "TRADING_HOURS_PER_DAY = 6.5\n", + "TRADING_MINUTES_PER_HOUR = 60\n", + "TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR # 390\n", + "TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY # 98280\n", + "DROP_FRACTION = 0.10 # a 10% drop\n", + "WINDOW_MINUTES = 5 # over a 5-minute window\n", + "WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR # ~5.09e-5\n", + "LOG_BARRIER = float(np.log(1.0 - DROP_FRACTION)) # ln(0.9) ~ -0.10536\n", + "TYPICAL_ANNUAL_VOL = 0.30 # representative liquid large-cap volatility\n", + "\n", + "def minutes_to_years(minutes):\n", + " return minutes / TRADING_MINUTES_PER_YEAR\n", + "\n", + "def horizon_vol(sigma_annual, minutes):\n", + " \"\"\"sigma over `minutes` of trading time via Brownian scaling sigma*sqrt(T).\"\"\"\n", + " return sigma_annual * np.sqrt(minutes_to_years(minutes))\n", + "\n", + "def trading_minutes_to_seconds(minutes):\n", + " return minutes * 60.0\n", + "\n", + "# --- processes: samplers; each returns (t, X) with X of shape (n_paths, n_steps+1) ---\n", + "def _as_rng(rng):\n", + " return np.random.default_rng() if rng is None else rng\n", + "\n", + "def time_grid(T, n_steps):\n", + " return np.linspace(0.0, T, n_steps + 1)\n", + "\n", + "def brownian_motion(T, n_steps, n_paths=1, drift=0.0, sigma=1.0, rng=None):\n", + " \"\"\"Arithmetic BM, dX = drift*dt + sigma*dW, via independent Gaussian increments.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " dt = T / n_steps\n", + " dW = rng.normal(loc=drift * dt, scale=sigma * np.sqrt(dt), size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = np.cumsum(dW, axis=1)\n", + " return t, X\n", + "\n", + "def brownian_motion_cholesky(T, n_steps, n_paths=1, rng=None):\n", + " \"\"\"Standard BM via the min(s,t) covariance (Gram) matrix and its Cholesky factor L (x = L z).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t = time_grid(T, n_steps)\n", + " t_inner = t[1:]\n", + " K = np.minimum(t_inner[:, None], t_inner[None, :]) # min(s,t) Gram matrix\n", + " L = np.linalg.cholesky(K)\n", + " z = rng.standard_normal(size=(n_paths, n_steps))\n", + " X = np.zeros((n_paths, n_steps + 1))\n", + " X[:, 1:] = z @ L.T\n", + " return t, X\n", + "\n", + "def geometric_brownian_motion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=1.0, rng=None):\n", + " \"\"\"GBM, dS = mu*S*dt + sigma*S*dW, via the exact log-space solution (no Euler error).\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=mu - 0.5 * sigma**2, sigma=sigma, rng=rng)\n", + " return t, S0 * np.exp(X)\n", + "\n", + "def brownian_bridge(T, n_steps, n_paths=1, start=0.0, end=0.0, sigma=1.0, rng=None):\n", + " \"\"\"BM conditioned on B(0)=start, B(T)=end.\"\"\"\n", + " rng = _as_rng(rng)\n", + " t, W = brownian_motion(T, n_steps, n_paths, drift=0.0, sigma=sigma, rng=rng)\n", + " linear = start + (end - start) * (t / T)\n", + " bridge = W - np.outer(W[:, -1], t / T) + linear[None, :]\n", + " return t, bridge\n", + "\n", + "def merton_jump_diffusion(S0, T, n_steps, n_paths=1, mu=0.0, sigma=0.2,\n", + " jump_intensity=0.0, jump_mean=-0.10, jump_sigma=0.15, rng=None):\n", + " \"\"\"Merton jump-diffusion; jump_intensity=0 reduces exactly to GBM.\"\"\"\n", + " rng = _as_rng(rng)\n", + " dt = T / n_steps\n", + " k = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 # E[J-1]\n", + " nu = mu - 0.5 * sigma**2 - jump_intensity * k # compensated drift\n", + " t, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " counts = rng.poisson(jump_intensity * dt, size=(n_paths, n_steps))\n", + " jump_log = np.zeros((n_paths, n_steps))\n", + " K = int(counts.max()) if counts.size else 0\n", + " if K > 0:\n", + " logJ = rng.normal(jump_mean, jump_sigma, size=(n_paths, n_steps, K))\n", + " mask = np.arange(K) < counts[:, :, None]\n", + " jump_log = (logJ * mask).sum(axis=2)\n", + " jump_path = np.zeros((n_paths, n_steps + 1))\n", + " jump_path[:, 1:] = np.cumsum(jump_log, axis=1)\n", + " return t, S0 * np.exp(X + jump_path)\n", + "\n", + "# --- barriers: first-passage CDFs & the Brownian-bridge miss formula (log-price BM, B<0) ---\n", + "def first_passage_cdf_zero_drift(B, T, sigma):\n", + " \"\"\"P(tau_B<=T) for zero-drift BM, via the reflection principle: 2*Phi(B/(sigma*sqrt(T))).\"\"\"\n", + " return 2.0 * norm.cdf(B / (sigma * np.sqrt(T)))\n", + "\n", + "def first_passage_cdf(B, T, nu, sigma):\n", + " \"\"\"P(tau_B<=T) for BM with drift nu (Bachelier-Levy).\"\"\"\n", + " sT = sigma * np.sqrt(T)\n", + " return norm.cdf((B - nu * T) / sT) + np.exp(2.0 * nu * B / sigma**2) * norm.cdf((B + nu * T) / sT)\n", + "\n", + "def barrier_miss_prob(x0, xT, B, sigma, dt):\n", + " \"\"\"P(BM crossed B inside (0,dt) | both endpoints above B): exp(-2(x0-B)(xT-B)/(sigma^2 dt)).\"\"\"\n", + " if x0 <= B or xT <= B:\n", + " return 1.0\n", + " return float(np.exp(-2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt)))\n", + "\n", + "def max_safe_dt(D, sigma, epsilon):\n", + " \"\"\"Largest sampling interval keeping P(miss)<=epsilon: dt = 2*D^2/(sigma^2 * ln(1/epsilon)).\"\"\"\n", + " if not (0.0 < epsilon < 1.0):\n", + " raise ValueError(\"epsilon must lie in (0, 1)\")\n", + " return 2.0 * D**2 / (sigma**2 * np.log(1.0 / epsilon))\n", + "\n", + "def estimate_first_passage_prob(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Naive MC of P(tau_B<=T) via discrete grid checks (O(sqrt(dt)) downward bias).\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(X <= B, axis=1)))\n", + "\n", + "def estimate_first_passage_prob_bb(B, T, nu, sigma, n_paths, n_steps, rng=None):\n", + " \"\"\"Bias-free MC of P(tau_B<=T) using the Brownian-bridge crossing probability per step.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, X = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng)\n", + " dt = T / n_steps\n", + " x0, x1 = X[:, :-1], X[:, 1:]\n", + " both_above = (x0 > B) & (x1 > B)\n", + " p_cross = np.where(both_above, np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), 1.0)\n", + " u = rng.uniform(size=p_cross.shape)\n", + " return float(np.mean(np.any(u < p_cross, axis=1)))\n", + "\n", + "def estimate_bridge_breach_prob(x0, xT, B, sigma, dt, n_paths, n_inner, rng=None):\n", + " \"\"\"MC check of barrier_miss_prob by simulating bridges pinned at x0, xT.\"\"\"\n", + " rng = _as_rng(rng)\n", + " _, bridge = brownian_bridge(dt, n_inner, n_paths, start=x0, end=xT, sigma=sigma, rng=rng)\n", + " return float(np.mean(np.any(bridge <= B, axis=1)))\n", + "\n", + "# --- plotting helpers ---\n", + "def style():\n", + " \"\"\"Apply the project's matplotlib style (serif maths, clean spines).\"\"\"\n", + " mpl.rcParams.update({\n", + " \"figure.figsize\": (8.0, 4.5), \"figure.dpi\": 110, \"savefig.dpi\": 140,\n", + " \"axes.grid\": True, \"grid.alpha\": 0.3,\n", + " \"axes.spines.top\": False, \"axes.spines.right\": False,\n", + " \"font.size\": 11, \"mathtext.fontset\": \"cm\",\n", + " \"axes.titlesize\": 12, \"axes.labelsize\": 11, \"legend.frameon\": False,\n", + " })\n", + "\n", + "def plot_paths(t, X, ax=None, alpha=0.5, lw=0.8, color=\"C0\", label=None, **kwargs):\n", + " \"\"\"Plot each row of X (shape (n_paths, len(t))) against t.\"\"\"\n", + " if ax is None:\n", + " _, ax = plt.subplots()\n", + " X = np.atleast_2d(X)\n", + " for i, row in enumerate(X):\n", + " ax.plot(t, row, color=color, alpha=alpha, lw=lw, label=label if i == 0 else None, **kwargs)\n", + " ax.set_xlabel(\"time\")\n", + " return ax\n", + "\n", + "def hline(ax, y, color=\"crimson\", label=None, ls=\"--\", lw=1.4):\n", + " \"\"\"Draw a horizontal barrier line.\"\"\"\n", + " ax.axhline(y, color=color, ls=ls, lw=lw, label=label)\n", + " return ax\n", + "\n", + "# --- module namespaces (so existing call sites like processes.X / config.Y keep working) ---\n", + "config = types.SimpleNamespace(\n", + " TRADING_DAYS_PER_YEAR=TRADING_DAYS_PER_YEAR, TRADING_HOURS_PER_DAY=TRADING_HOURS_PER_DAY,\n", + " TRADING_MINUTES_PER_HOUR=TRADING_MINUTES_PER_HOUR, TRADING_MINUTES_PER_DAY=TRADING_MINUTES_PER_DAY,\n", + " TRADING_MINUTES_PER_YEAR=TRADING_MINUTES_PER_YEAR, DROP_FRACTION=DROP_FRACTION,\n", + " WINDOW_MINUTES=WINDOW_MINUTES, WINDOW_YEARS=WINDOW_YEARS, LOG_BARRIER=LOG_BARRIER,\n", + " TYPICAL_ANNUAL_VOL=TYPICAL_ANNUAL_VOL, minutes_to_years=minutes_to_years,\n", + " horizon_vol=horizon_vol, trading_minutes_to_seconds=trading_minutes_to_seconds,\n", + ")\n", + "processes = types.SimpleNamespace(\n", + " brownian_motion=brownian_motion, brownian_motion_cholesky=brownian_motion_cholesky,\n", + " geometric_brownian_motion=geometric_brownian_motion, brownian_bridge=brownian_bridge,\n", + " merton_jump_diffusion=merton_jump_diffusion,\n", + ")\n", + "barriers = types.SimpleNamespace(\n", + " first_passage_cdf_zero_drift=first_passage_cdf_zero_drift, first_passage_cdf=first_passage_cdf,\n", + " barrier_miss_prob=barrier_miss_prob, max_safe_dt=max_safe_dt,\n", + " estimate_first_passage_prob=estimate_first_passage_prob,\n", + " estimate_first_passage_prob_bb=estimate_first_passage_prob_bb,\n", + " estimate_bridge_breach_prob=estimate_bridge_breach_prob,\n", + ")\n", + "plotting = types.SimpleNamespace(style=style, plot_paths=plot_paths, hline=hline)\n", + "\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _repo_root():\n", + " \"\"\"Find the repository root without requiring the cache to exist already.\"\"\"\n", + " p = Path.cwd()\n", + " for cand in [p, *p.parents]:\n", + " if (cand / \"pyproject.toml\").is_file() or (\n", + " (cand / \"notebooks\").is_dir() and (cand / \"src\").is_dir()\n", + " ):\n", + " return cand\n", + " return p\n", + "\n", + "_CACHE_DIR = _repo_root() / \"data\" / \"cache\"\n", + "_CHART_URL = \"https://query1.finance.yahoo.com/v8/finance/chart/{ticker}\"\n", + "\n", + "def cache_path(ticker, interval, range_):\n", + " _CACHE_DIR.mkdir(parents=True, exist_ok=True)\n", + " return _CACHE_DIR / f\"{ticker}_{interval}_{range_}.csv\"\n", + "\n", + "def fetch_intraday(ticker=\"SPY\", interval=\"5m\", range_=\"5d\", use_cache=True):\n", + " \"\"\"Intraday OHLCV as a tidy DataFrame (UTC index); cached under data/cache/.\"\"\"\n", + " path = cache_path(ticker, interval, range_)\n", + " if use_cache and path.exists():\n", + " df = pd.read_csv(path, index_col=0, parse_dates=True)\n", + " if df.index.tz is None:\n", + " df.index = df.index.tz_localize(\"UTC\")\n", + " return df\n", + " import requests\n", + " resp = requests.get(\n", + " _CHART_URL.format(ticker=ticker),\n", + " params={\"interval\": interval, \"range\": range_, \"includePrePost\": \"false\"},\n", + " headers={\"User-Agent\": \"Mozilla/5.0\"}, timeout=30,\n", + " )\n", + " resp.raise_for_status()\n", + " result = resp.json()[\"chart\"][\"result\"][0]\n", + " timestamps = pd.to_datetime(result[\"timestamp\"], unit=\"s\", utc=True)\n", + " quote = result[\"indicators\"][\"quote\"][0]\n", + " df = pd.DataFrame(\n", + " {\"open\": quote[\"open\"], \"high\": quote[\"high\"], \"low\": quote[\"low\"],\n", + " \"close\": quote[\"close\"], \"volume\": quote[\"volume\"]},\n", + " index=timestamps,\n", + " )\n", + " df.index.name = \"timestamp\"\n", + " df = df.dropna(subset=[\"close\"])\n", + " if use_cache:\n", + " df.to_csv(path)\n", + " return df\n", + "\n", + "def log_returns(prices):\n", + " \"\"\"Log-returns ln(p_t / p_{t-1}).\"\"\"\n", + " return pd.Series(np.log(prices).diff().dropna(), name=\"log_return\")\n", + "\n", + "data = types.SimpleNamespace(fetch_intraday=fetch_intraday, log_returns=log_returns, cache_path=cache_path)\n", + "\n", + "from pathlib import Path\n", + "\n", + "def _img_subdir(sub):\n", + " \"\"\"Resolve /images/, creating it; cwd-independent.\"\"\"\n", + " root = Path.cwd()\n", + " for cand in (root, *root.parents):\n", + " if (cand / \"notebooks\").is_dir():\n", + " root = cand\n", + " break\n", + " d = root / \"images\" / sub\n", + " d.mkdir(parents=True, exist_ok=True)\n", + " return d\n", + "\n", + "_FIG = _img_subdir(\"05_adaptive_detector\")\n", + "\n", + "plotting.style()\n", + "RNG = np.random.default_rng(5)\n" + ] + }, + { + "cell_type": "markdown", + "id": "abb884d6", + "metadata": {}, + "source": [ + "## 1. The algorithm\n", + "\n", + "Choose a diffusion-design parameter $\\varepsilon$. At each observation we know\n", + "the current relative log-price $X_t=\\log(S_t/S_0)$ and its distance\n", + "$D=X_t-B$ from the lower barrier. We schedule the next observation using\n", + "\n", + "$$t_{\\text{next}} = t + \\min\\!\\left(\n", + "\\frac{2D^2}{\\sigma^2\\ln(1/\\varepsilon)},\\;\\Delta t_{\\text{cap}}\n", + "\\right).$$\n", + "\n", + "Here the time grid and $\\sigma$ must use matching units. In the implementation\n", + "below, time is measured in minutes and $\\sigma$ is the standard deviation per\n", + "$\\sqrt{\\text{minute}}$.\n", + "\n", + "```\n", + "observe X_t at time t\n", + "if X_t <= B: ALERT and stop\n", + "D <- X_t - B\n", + "dt <- 2 D^2 / (sigma^2 * ln(1/eps)) # local flat-endpoint proxy\n", + "dt <- min(dt, dt_cap)\n", + "schedule next sample at t + dt\n", + "```\n", + "\n", + "The rate grows like $1/D^2$ near the barrier. The formula is exact only for a\n", + "Brownian bridge whose two endpoint distances both equal $D$; online it is a\n", + "local approximation." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "380d9756", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:09.439404Z", + "iopub.status.busy": "2026-07-31T19:07:09.439105Z", + "iopub.status.idle": "2026-07-31T19:07:09.443641Z", + "shell.execute_reply": "2026-07-31T19:07:09.443107Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sigma (annual) = 0.3\n", + "sigma (per sqrt(min))= 0.000957\n", + "design parameter eps = 0.001\n" + ] + } + ], + "source": [ + "# The adaptive scheduler. Given a fine ground-truth relative log-price path,\n", + "# return the indices that an online monitor would sample.\n", + "def adaptive_schedule(t, X, B, sigma, eps, dt_cap=None, stop_on_breach=False):\n", + " \"\"\"Local symmetric-endpoint bridge proxy; t and sigma must share units.\"\"\"\n", + " idx = [0]\n", + " n = len(t)\n", + " i = 0\n", + " while i < n - 1:\n", + " if stop_on_breach and X[i] <= B:\n", + " break\n", + " D = max(float(X[i] - B), 1e-12)\n", + " dt = barriers.max_safe_dt(D, sigma, eps)\n", + " if dt_cap is not None:\n", + " dt = min(dt, dt_cap)\n", + " target = t[i] + dt\n", + " j = int(np.searchsorted(t, target, side=\"left\"))\n", + " j = min(max(j, i + 1), n - 1)\n", + " idx.append(j)\n", + " i = j\n", + " return np.asarray(idx, dtype=int)\n", + "\n", + "# Work in minutes, so volatility is expressed per sqrt(minute).\n", + "sigma_ann = config.TYPICAL_ANNUAL_VOL\n", + "sigma_min = config.horizon_vol(sigma_ann, 1.0)\n", + "eps = 1e-3\n", + "print(f\"sigma (annual) = {sigma_ann}\")\n", + "print(f\"sigma (per sqrt(min))= {sigma_min:.6f}\")\n", + "print(f\"design parameter eps = {eps}\")" + ] + }, + { + "cell_type": "markdown", + "id": "03e55b75", + "metadata": {}, + "source": [ + "## 2. The allowed interval vs. proximity to the barrier\n", + "\n", + "The feedback law in action: $\\Delta t_{\\max}$ is *enormous* when the price is\n", + "healthy and collapses to milliseconds only at the barrier. Work in **minutes**\n", + "by using the per-minute volatility." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "c2a82e54", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:09.445012Z", + "iopub.status.busy": "2026-07-31T19:07:09.444898Z", + "iopub.status.idle": "2026-07-31T19:07:10.294913Z", + "shell.execute_reply": "2026-07-31T19:07:10.294147Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " drawdown D (log) dt_max (min) dt_max\n", + " 0.00% 0.1054 3509.71 58.5 h\n", + " 1.00% 0.0953 2872.07 47.9 h\n", + " 2.00% 0.0852 2292.79 38.2 h\n", + " 3.00% 0.0749 1773.76 29.6 h\n", + " 5.00% 0.0541 924.24 924.24 min\n", + " 7.00% 0.0328 339.93 339.93 min\n", + " 8.00% 0.0220 152.73 152.73 min\n", + " 9.00% 0.0110 38.60 38.60 min\n", + " 9.50% 0.0055 9.70 9.70 min\n", + " 9.90% 0.0011 0.39 23.4 s\n", + " 9.99% 0.0001 0.00 0.2 s\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# How the safe interval depends on how far below the start the price is.\n", + "sigma_min = config.horizon_vol(sigma_ann, 1.0)\n", + "drawdown_pct = np.array([0.0, 1, 2, 3, 5, 7, 8, 9, 9.5, 9.9, 9.99]) # % below start\n", + "rows = []\n", + "for dd in drawdown_pct:\n", + " X = np.log(1 - dd/100.0) # current log-price (start = 0)\n", + " D = X - config.LOG_BARRIER # distance to barrier\n", + " dt_min = barriers.max_safe_dt(D, sigma_min, eps) # in minutes\n", + " rows.append((dd, D, dt_min))\n", + "\n", + "print(f\"{'drawdown':>9} {'D (log)':>9} {'dt_max (min)':>14} {'dt_max':>14}\")\n", + "for dd, D, dt in rows:\n", + " secs = dt*60\n", + " pretty = f\"{secs:.1f} s\" if secs < 120 else f\"{dt:.2f} min\" if dt<1440 else f\"{dt/60:.1f} h\" if dt<14400 else f\"{dt/1440:.1f} d\"\n", + " print(f\"{dd:>8.2f}% {D:>9.4f} {dt:>14.2f} {pretty:>14}\")\n", + "\n", + "ds = np.linspace(0.001, 9.999, 400) # drawdown from start, in %\n", + "D = np.log(1 - ds/100.0) - config.LOG_BARRIER # distance to the -10% barrier\n", + "plt.figure(figsize=(8.4, 4.2))\n", + "plt.plot(ds, barriers.max_safe_dt(D, sigma_min, eps))\n", + "plt.yscale(\"log\")\n", + "plt.xlabel(\"current drawdown from start (%)\")\n", + "plt.ylabel(r\"$\\Delta t_{\\max}$ (minutes, log scale)\")\n", + "plt.title(f\"Adaptive interval vs drawdown ($\\\\sigma$=30%/yr, $\\\\varepsilon$={eps})\")\n", + "plt.axhline(1/60000, color=\"k\", ls=\":\", lw=1, label=\"1 millisecond\")\n", + "plt.grid(alpha=0.3, which=\"both\"); plt.legend(); plt.savefig(_FIG / \"safe_interval_vs_distance.png\", dpi=150, bbox_inches=\"tight\"); plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "1b31b7ee", + "metadata": {}, + "source": [ + "The reading is dramatic, but interpret it correctly. Under the local\n", + "symmetric-endpoint diffusion proxy, a price far from the barrier permits a long\n", + "interval, while the interval collapses quadratically near the trigger. This\n", + "explains why blind millisecond polling is inefficient under a continuous\n", + "low-volatility model. It does **not** imply that a jump cannot cross and recover\n", + "between polls." + ] + }, + { + "cell_type": "markdown", + "id": "0c8dadfb", + "metadata": {}, + "source": [ + "## 3. Fixed-rate vs adaptive on a controlled jump stress path\n", + "\n", + "To make the mechanics visible, we construct a five-minute GBM path and impose a\n", + "persistent $12\\%$ downward jump halfway through the window. This is a controlled\n", + "stress scenario, not a calibrated estimate of jump frequency. The adaptive\n", + "monitor uses a three-second sanity cap and stops once a sampled price confirms\n", + "the breach; the fixed baseline checks every millisecond." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "0e87492e", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:10.296823Z", + "iopub.status.busy": "2026-07-31T19:07:10.296692Z", + "iopub.status.idle": "2026-07-31T19:07:10.345988Z", + "shell.execute_reply": "2026-07-31T19:07:10.345358Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "true breach occurred : True\n", + " minimum price : 88.30 (-11.7%)\n", + "adaptive samples used: 51 detected: True\n", + "fixed 1ms samples : 300,001 detected: True\n", + "compression ratio : 5,882x fewer samples\n" + ] + } + ], + "source": [ + "# Controlled five-minute stress path on a genuine 1 ms grid.\n", + "S0 = 100.0\n", + "T_min = 5.0\n", + "n_fine = int(T_min * 60 * 1000) # 300,000 one-millisecond steps\n", + "T_years = T_min / config.TRADING_MINUTES_PER_YEAR\n", + "\n", + "t_years, S = processes.geometric_brownian_motion(\n", + " S0, T_years, n_fine, n_paths=1, mu=0.0, sigma=sigma_ann,\n", + " rng=np.random.default_rng(51),\n", + ")\n", + "t_minutes = t_years * config.TRADING_MINUTES_PER_YEAR\n", + "\n", + "# Impose a persistent -12% log jump at the midpoint so a breach definitely occurs.\n", + "shock_idx = n_fine // 2\n", + "S[0, shock_idx:] *= np.exp(-0.12)\n", + "X = np.log(S[0] / S0) # relative log-price\n", + "B = config.LOG_BARRIER\n", + "\n", + "idx_adapt = adaptive_schedule(\n", + " t_minutes, X, B, sigma_min, eps,\n", + " dt_cap=0.05, # at most 3 seconds\n", + " stop_on_breach=True,\n", + ")\n", + "idx_fixed = np.arange(n_fine + 1, dtype=int) # every millisecond\n", + "\n", + "truth_breach = bool((X <= B).any())\n", + "adapt_detect = bool((X[idx_adapt] <= B).any())\n", + "fixed_detect = bool((X[idx_fixed] <= B).any())\n", + "\n", + "print(f\"true breach occurred : {truth_breach}\")\n", + "print(f\" minimum price : {S[0].min():.2f} ({(S[0].min()/S0-1)*100:.1f}%)\")\n", + "print(f\"adaptive samples used: {len(idx_adapt):>7,} detected: {adapt_detect}\")\n", + "print(f\"fixed 1ms samples : {len(idx_fixed):>7,} detected: {fixed_detect}\")\n", + "print(f\"compression ratio : {len(idx_fixed)/len(idx_adapt):,.0f}x fewer samples\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "7020f046", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:10.347583Z", + "iopub.status.busy": "2026-07-31T19:07:10.347459Z", + "iopub.status.idle": "2026-07-31T19:07:11.014653Z", + "shell.execute_reply": "2026-07-31T19:07:11.014018Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(9.5, 4.6))\n", + "ax.plot(t_minutes, S[0], color=\"0.5\", lw=0.8, label=\"stress-path price\")\n", + "ax.scatter(t_minutes[idx_adapt], S[0][idx_adapt],\n", + " c=\"C3\", s=18, zorder=5, label=f\"adaptive samples ({len(idx_adapt)})\")\n", + "ax.axhline(0.9*S0, color=\"k\", ls=\"--\", lw=1.2, label=\"-10% barrier\")\n", + "ax.set_xlabel(\"time (minutes)\"); ax.set_ylabel(\"price\")\n", + "ax.set_title(\"Adaptive sampling with a three-second cap; stop after alert\")\n", + "ax.legend(loc=\"upper right\")\n", + "plt.savefig(_FIG / \"adaptive_vs_fixed_path.png\", dpi=150, bbox_inches=\"tight\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "aba0fe75", + "metadata": {}, + "source": [ + "## 4. Cost analysis with a practical polling cap\n", + "\n", + "The bridge proxy alone can suggest intervals longer than a trading day when the\n", + "price is far from a $-10\\%$ barrier. An online monitor cannot adapt to an\n", + "unobserved approach, so a **hard periodic cap is essential**. Here we impose a\n", + "one-minute cap and compare it with blind 1 ms polling over a 390-minute trading\n", + "day." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "5b4cb7b7", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:11.016201Z", + "iopub.status.busy": "2026-07-31T19:07:11.016094Z", + "iopub.status.idle": "2026-07-31T19:07:11.668833Z", + "shell.execute_reply": "2026-07-31T19:07:11.668228Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "fixed 1ms polling: 23,400,000 samples / trading day\n", + "adaptive hard cap: 1 minute\n", + "\n", + " scenario adaptive samples/day paths alerting speedup\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " daily vol 1% 386 0/200 60,622x\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " daily vol 3% 386 0/200 60,622x\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " daily vol 7% 370 23/200 63,243x\n" + ] + } + ], + "source": [ + "fixed_per_day = 390 * 60 * 1000\n", + "poll_cap_minutes = 1.0\n", + "print(f\"fixed 1ms polling: {fixed_per_day:>14,} samples / trading day\")\n", + "print(f\"adaptive hard cap: {poll_cap_minutes:.0f} minute\\n\")\n", + "\n", + "scenarios = [\n", + " (\"daily vol 1%\", 0.01),\n", + " (\"daily vol 3%\", 0.03),\n", + " (\"daily vol 7%\", 0.07),\n", + "]\n", + "print(f\"{'scenario':>18} {'adaptive samples/day':>22} {'paths alerting':>16} {'speedup':>12}\")\n", + "for name, daily_vol in scenarios:\n", + " sigma_scen = daily_vol * np.sqrt(252)\n", + " T_day_years = 390 / config.TRADING_MINUTES_PER_YEAR\n", + " npaths, ngrid = 200, 5000\n", + " rng = np.random.default_rng(11)\n", + " tday_minutes = np.linspace(0.0, 390.0, ngrid + 1)\n", + " counts, alerts = [], 0\n", + " for _ in range(npaths):\n", + " _, Sd = processes.geometric_brownian_motion(\n", + " S0, T_day_years, ngrid, 1, 0.0, sigma_scen, rng=rng\n", + " )\n", + " Xd = np.log(Sd[0] / S0)\n", + " idx = adaptive_schedule(\n", + " tday_minutes, Xd, B,\n", + " config.horizon_vol(sigma_scen, 1.0), eps,\n", + " dt_cap=poll_cap_minutes,\n", + " stop_on_breach=True,\n", + " )\n", + " alerts += int((Xd[idx] <= B).any())\n", + " counts.append(len(idx))\n", + " mean_samples = int(np.mean(counts))\n", + " print(f\"{name:>18} {mean_samples:>22,} {alerts:>12}/{npaths:<3} {fixed_per_day/mean_samples:>11,.0f}x\")" + ] + }, + { + "cell_type": "markdown", + "id": "1ae2cf82", + "metadata": {}, + "source": [ + "With the one-minute safety cap, the monitor still reduces the polling load by\n", + "roughly five orders of magnitude relative to 1 ms polling in this stylised\n", + "experiment. The cap—not the bridge formula—sets the calm-market latency ceiling;\n", + "the state-dependent rule only becomes denser than the cap near the barrier.\n", + "These numbers remain model- and parameter-dependent, and jumps are outside the\n", + "Brownian miss calculation." + ] + }, + { + "cell_type": "markdown", + "id": "3ae48b0d", + "metadata": {}, + "source": [ + "## 5. Beyond GBM: jumps are where extreme moves live\n", + "\n", + "Notebook 03 showed a $10\\%$-in-$5$-minutes drop is a $\\sim 49\\sigma$ event\n", + "under pure GBM — effectively impossible. The **Merton jump-diffusion** superposes\n", + "a compound Poisson process of discrete jumps on the diffusion:\n", + "\n", + "$$\\frac{dS_t}{S_t} \\;=\\; (\\mu - \\lambda \\kappa)\\,dt + \\sigma\\,dW_t + (J_t - 1)\\,dN_t,$$\n", + "\n", + "where $N_t$ is a Poisson process of rate $\\lambda$, the jump sizes satisfy\n", + "$\\log J \\sim \\mathcal N(\\mu_J, \\sigma_J^2)$, and\n", + "$\\kappa = \\mathbb E[J - 1]$. Downward jumps have $\\mu_J < 0$.\n", + "\n", + "Let's see how the *terminal* drop distribution changes when jumps are switched\n", + "on — and confirm that $10\\%$ drops become genuinely attainable." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "5af4075c", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:11.670279Z", + "iopub.status.busy": "2026-07-31T19:07:11.670157Z", + "iopub.status.idle": "2026-07-31T19:07:15.071932Z", + "shell.execute_reply": "2026-07-31T19:07:15.071287Z" + } + }, + "outputs": [ + { + "data": { + "image/png": "iVBORw0KGgoAAAANSUhEUgAAA18AAAHWCAYAAACIZjNQAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAQ6wAAEOsBUJTofAAAgvNJREFUeJzt3Xd8Tff/B/DXzbo3smRLCCH2qB1ae9Xe1CYkQo22aBQ1gqoRo/aqPYoaQamd0PZbdBBalCJqRLNlyJDcz+8Pv3vrukncuDt5PR8PD7mf8znnvM/7nnuS9z3nfI5ECCFAREREREREemVh7ACIiIiIiIiKAxZfREREREREBsDii4iIiIiIyABYfBERERERERkAiy8iIiIiIiIDYPFFRERERERkACy+iIiIiIiIDIDFFxERERERkQGw+CIiIiIiIjIAFl9EREREREQGwOKLiIqV0NBQSCQSREdHGzsU+n8BAQGQSCTGDoNe4evri5YtW6q0tWzZEr6+vlovm++3bkVGRkIikWDr1q3GDoWINMDii4ql6OhoSCQSBAUFGTuUIuHq1asIDQ1lQUP52rp1K7766itjh6GRDRs2YMiQIahRowasrKwgkUjw6NGjAufZuHEjateuDVtbW7i7u2PQoEH4559/1PpdvXoVLVq0gIODAypVqoQ1a9bkubyJEyeiQoUKSE9P1zhuU/ocGuv9Dg8PR2ho6FvNGxcXh9DQUDRq1AguLi6wtraGq6srmjZtitDQULX3c+vWrZBIJCr/ZDIZypcvj4EDB+K3335TW4evry8kEgns7e2RmpqaZxwzZ85ULm/nzp1vtS1kekzp80nGxeKLiLR29epVzJ49m79UKF/mVHx9+eWXOHToEJydnTU60zNjxgwEBwfDwcEBX331FT7++GOcPHkS7777Lp48eaLsl5qaik6dOiE1NRVhYWFo3bo1xo4di0OHDqks7/Lly1ixYgXWr18POzs7jePW5efwr7/+wqlTp956fmMWX7Nnzy70fKdPn0aVKlUwb948+Pj4YPr06diwYQOmT58OHx8fLFmyBBUrVkR2drbavB9++CF27NiBHTt2YMWKFejcuTMOHTqEd999F7/++qtaf5lMhvT0dOzdu1dtmlwux5YtWyCTyQq9DWTa+HuSFKyMHQARkYIQAunp6bC3tzd2KFSMRUREoFy5crCwsEBAQADu3r2bb9/bt29j/vz5qFevHiIjI2Fl9fLXaocOHeDv74/p06dj8+bNAICff/4ZMTEx+Omnn1C+fHkAwM2bN7F//3707NkTAPDixQsEBQVhyJAhaNeunZ63NH9SqdRo6za0mzdvomfPnihZsiQuXLiAmjVrqvVJSUnBF198kef87733HgYPHqzSVrlyZXz88cfYuXMnGjRooDKtdOnScHV1xaZNm9Suvjhx4gQePXqEQYMGYdeuXVpuGRGZIp75IsJ/lyHmdbmK4tKSyMhIZZvivqGbN2/i008/RenSpVGiRAm89957uHz5MgDgp59+QsuWLWFvbw93d3dMnDgROTk5KstW3PuQkJCAESNGwN3dHba2tnj33Xdx9uxZtVhOnDiB1q1bw8PDAzKZDGXKlEHHjh3xww8/vHEbC7OuwuQjICAAw4cPBwC0atVKeblMQEBAgfEolnPmzBnMnz8flStXhlQqxeLFi5V9Dhw4gBYtWsDR0RG2traoW7cuvv76a7VlnTp1CgMGDICfnx9sbW3h6OiI5s2b4+jRo2/MS0EUOUtMTERQUBA8PDxgb2+P999/H3fu3AEAHDlyBA0bNkSJEiVQunRpzJ8/X205ly9fxogRI1ClShXY2dnBzs4ODRs2xJYtW9T6JiUlISQkBJUqVYKtrS2cnZ1Rq1YtfPLJJyr9tNkXAODWrVvo378/PD09IZVKUaFCBXz66adISUlR6ad4nyIiIvDVV18p36fy5ctj6dKlGq1LIpHg/PnzePDggcolWq9+poCXf+COHz8eXl5ekEqlqFevHk6ePJnnMiMiItCxY0c4OztDKpWiWrVqWLhwIXJzczWKqSDly5eHhYVmvx53796N3NxcfPTRR8rCCwAaNGiA5s2bY9++fcjKygIAPH/+HADg4uKi7Ofq6qpsB4CFCxciNjYWS5YsKVTMb/ocyuVyfPnll2jZsiW8vLxgY2OD0qVLY9iwYXleHpnXPV+a0vX7vXfvXvTo0QPlypWDTCaDi4sLOnTogB9//FEt5m3btiljUPx7071QM2bMQHp6OjZt2pRn4QUAjo6OWLRoEWxsbDTKgbe3NwDk2z8oKAgXL17EjRs3VNq//vprlC9fHm3atNFoPQURQmDjxo3w9/dXHnfee+89hIeHq/XVNMeDBw+GpaUlHj58qLaM58+fw8nJCc2aNVNpv3LlCvr06QMPDw/Y2NigQoUKmDJlisp+DwCPHj1CcHAwypcvD5lMBjc3N9SvXx9ffvmlzrdX8dm4cOECmjZtCjs7O3h6euKzzz5Dbm4usrKyMGXKFPj4+EAmk6Fhw4a4ePGiyjJe/T25f/9+1KtXD7a2tvDy8sInn3yCtLQ0Zd+CPp8xMTGwtrbGBx98kOd2LV26FBKJBN99951GeSDTxzNfRFoYNmwYZDIZJk+ejPT0dCxevBjt2rXDjh07EBAQgKCgIPTv3x/ff/89li1bBnd3d0ydOlVtOe3bt4ejoyNmzJiBxMRErF+/Hh06dMDRo0fRoUMHAMCFCxfQpUsXVK9eHSEhIXB1dcXTp0/xv//9D1euXFH7hZcfTdZVGKNGjYJUKsWGDRswbdo0VKtWDQDg5+en0fwhISF4/vw5hg0bBnd3d/j4+AAAZs2ahTlz5qBVq1aYNWsWbG1tcfLkSYwcORJ///03FixYoFzG1q1b8e+//2Lw4MEoU6YM4uLisG3bNnTr1g179uxBv379Cr1dr+rQoQM8PT0xa9YsPHnyBEuXLsX777+PuXPnYtKkSRg9ejSGDx+OPXv2YNq0afD19cWAAQOU8x86dAh//PEH+vTpg3LlyuHZs2fYt28fRowYgbi4OEyePFnZ94MPPkBERASCg4NRp04dZGdn4+7duzhz5oyyj7b7wtWrV9G8eXPk5ORgzJgxqFChAn788UcsWbIEZ8+exU8//YQSJUqozDNt2jSkpKRg+PDhsLe3x/bt2zFp0iR4e3ujf//+Ba5vx44dmDdvHuLj47Fs2TJlu2JfUWjfvj1KliyJqVOn4vnz5/jqq6/QrVs33LlzB2XLllX227x5M4KCglC3bl1MmTIFJUuWxE8//YSpU6fiypUr2LNnT4Hx6NKlS5cAvDz78br33nsP58+fx59//ol69eqhQYMGsLGxwbRp0xASEoKoqCh8//33mDt3LoCXBfEXX3yBHTt2qBRomnjT5zA7OxsLFy5Er1690LlzZzg5OeHatWvYvHkzzp49i2vXrhV6nfnR9fu9atUqODs7IygoCF5eXnj48CE2bdqEVq1a4fz588rcf/XVV1i6dCl++OEH7NixQzl/Xu+NQmZmJo4dO4ayZcuiffv2b7W9aWlpiI+PBwBkZGTg+vXr+Pzzz2Fvb5/vl1D9+/fHhAkTsGnTJmWh/e+//+K7775T3vOlreHDh2P79u3o3r07Bg0aBAA4ePAgevbsibVr12L06NHKvprmOCAgALt27cL27dvx+eefq6zv4MGDSElJUdnmEydOoEePHvDx8cH48ePh6emJqKgoLF26FD/99BMiIiJgZWWFnJwctGvXDg8fPsSHH36IqlWrIi0tDbdu3cK5c+cwbdo0nW4v8LIo7NGjBwIDAzF48GAcP34cixYtgqWlJa5fv46UlBR8+umnSE9Px5IlS9ClSxfcv38fDg4OKsv57rvvsHTpUowZMwaBgYE4e/Ysli9fjqtXr+Ls2bOwtLQs8PPp5eWFbt264fDhw4iPj4ebm5vK8r/++mv4+PigY8eOb8wBmQlBVAzdv39fABCBgYEqr2fNmqXWd8uWLQKAiIiIULbNmjVLABAdO3YUubm5yvZDhw4JAMLS0lJcvHhRZTl16tQRXl5eKm3Dhg0TAETXrl1VlvPPP/8Ie3t7UaFCBWX7hAkTBADx9OnTt9rmwqyrsPnIq+1NFPP4+fmJ1NRUlWm///67kEgk4qOPPlKbb9y4ccLCwkLcvXtX2ZaWlqbWLz09XVSqVElUr15dpV3x3t2/f/+NMSpyNmrUKJX2ZcuWCQDC3t5eZTmZmZnC09NTvPvuuyr984ovNzdXNGvWTDg5OYns7GwhhBDJyckCgBg9enSBcWm7LzRr1kxIJBLx448/qrTPnj1bABBz585Vtinep3feeUdkZmaqbJOrq6vatuanRYsWoly5cnlOU+Q5ODhYpf3nn38WAMTUqVOVbTExMUImk4kePXoIuVyu0n/x4sUCgIiMjNQoJk0oYnv48GGe02vWrCkAiOfPn6tNW716tQAgDh8+rGzbsGGDkMlkAoAAILp06SIyMzOFXC4XTZo0Ed27d3/rWAv6HMrlcpGenq7Wfvr0aQFALFq0SKW9XLlyokWLFiptBb2Hr9PV+y1E3p+fmJgY4erqKjp16pTnsjV1/fp1AUB069ZNbVpWVpaIi4tT+ffqZ0CR77z+Va1aVURFRakts1y5csLPz08IIcTw4cOFu7u78vO/cOFCYWlpKR4+fKhc9o4dO964DREREQKA2LJli7ItPDxcABBLly5V69+1a1fh6OgoUlJSlG2a5jg3N1eULVtWVKpUSa1/mzZtRIkSJZTLzcjIEKVKlRL+/v4qeRNCiP379wsAYuvWrUIIIaKiogQAsWDBgjdub14Ku70AhEQiEf/73/9U+tapU0dIJBLRuXNnleOL4nf7+vXrlW2K35MSiURcunRJZTkfffSR2ntS0Ofz1KlTAoBYvHixSvsPP/yQ7+9iMl+87JBICxMmTFC5PKlFixYAgEaNGqFRo0YqfZs3b46YmBiVSxEUpk6dqrIcHx8fDBkyBPfu3cOVK1cAACVLlgQAfPvtt3jx4sVbx6zJugxp3Lhxavd47dq1C0IIBAYGIj4+XuVft27dIJfLVc4EvTooQXp6OhISEvD8+XO0bt0aN27cyHdUMU1NmjRJ5bXife7WrZvKgAxSqRSNGjXC7du3Vfq/Gl9GRgYSEhKQmJiIDh064NmzZ/jrr78AALa2tpDJZLh06RLu3buXbzza7AtxcXH44Ycf0K5dOzRp0kRl2qeffgo7OzscOHBAbb5x48ap3AdkZ2eHd999V21btfHpp5+qvG7cuDHs7e1V1rF//35kZmYiKCgICQkJKvtGly5dACDfSxX1QXHpVF73SCkGTXj18qqRI0ciJiYGP//8M+7du4ejR49CKpVi7dq1+OOPP7BmzRpkZmZi0qRJqFChAqpWrYp58+ZBLpdrFadEIlGezZTL5UhOTkZ8fDzq1KkDJycn5Rk8Q9Lk/QZUPz+pqalISEiAlZUVGjVqpHXcz549A/DyssLXHTx4EO7u7ir/vv32W7V+U6ZMwenTp3H69GnlWZDnz5+jY8eOapcVviooKAhxcXE4cuQIAGDTpk1o3749ypQpo9U2AS/PPtra2qJfv35qx9AePXogJSUFP//8s7K/pjm2sLDA0KFDcefOHfz000/K9ocPHyIiIgK9e/dWnhk6c+YMnj59ioCAAKSmpqrE0Lx5c5QoUUL5WXVycgLw8nLip0+f6n17AeDdd9/Fu+++q9LWvHlzCCHw8ccfq5x9VBzz8zretWvXDv7+/iptirOCeR1L89K2bVtUrFhR7bL6jRs3wtLSEoGBgRoth8wDLzsk0kKFChVUXjs7O+fZ/uq0hIQEtWKjevXqav0VbX///Tfq16+PcePG4ejRoxg/fjymTJmCd999Fy1btsTAgQOVN+9rQpN1GVLlypXV2m7evAkAqF27dr7z/fvvv8qfo6OjMWPGDBw/fhyJiYlqfZOSktQuFSmMwr7PCQkJKm3x8fGYOXMmwsPDERMTozaPImYbGxusWLEC48ePh5+fHypXroxmzZqhU6dO6N69OywtLQFAq31BUdTVqlVLbVqJEiXg5+eX5wATeW2rq6ur2rZqQ5N1KPYNRaGVl1f3jbw8e/YMGRkZKm0uLi4a38/zKkVBk5WVBVtbW5VpmZmZKn0USpYsicaNGytfP3r0CFOmTMHixYvh7e2NcePG4dixY9i8eTPS0tIwbNgwSKVStWKlsMLDw7Fo0SL89ttvaqP25fW50TdN96lr165h5syZOHfunNoXKdpenqf4o//1ex2Bl/fmnD59GsDL+0rDwsLyXEaNGjXQtm1b5evOnTuje/fuqFatGkaPHo0LFy7kOd97772HatWqYdOmTXB3d1cO3qILN2/eREZGBkqXLp1vn1c/J4XJcUBAAL744gts3bpV+QXOtm3bIJfLVS45VHxWx4wZgzFjxhQYQ7ly5TBr1izMnTsX3t7eqFWrFpo2bYoePXpoNPBMYbcXKPj3dH7H/LyOd3n9TvXw8ICrqyv+/vvvN8YOvMxxcHAwJk+ejB9++AHNmjVDcnIyvv32W3To0EF5OT4VDSy+iFDwL/DXB8l4leKPYU3bgZc3Bb8NFxcXXLp0Cf/73/9w5swZ/PDDD5g9ezZmz56NHTt2aH1f06veNh9v4/U/TAEov+X/7rvv8h11TfHLMS0tDc2bN8ezZ8/w8ccf45133oGjoyMsLCywefNmfPPNN1qfNXib91lBCIH27dvj+vXrGD9+PBo2bAhnZ2dYWlri+PHjWLZsmUp8I0eORLdu3fD999/jwoULOHPmDDZt2gR/f3+cP39eeTO8ofaFwmyrvtbx6mdGkauvv/4a5cqVy7O/YrCD/Hz88cfKgRkUIiIi3mqAiTJlyuCPP/7Ao0ePUKlSJZVpimeDvelMxocffoh69eph5MiRkMvl2LRpE1asWIFWrVopp2/cuFGr4uvw4cPo2bMnGjRogKVLl6Js2bLKYrF///5af0behibv96NHj9C0aVPY29tj6tSpqFq1Kuzs7GBhYYH58+fj3LlzWsVQsWJFyGQyXL16VW2ap6cnPD09lXEUhuKs5Y8//oiMjAy1wlwhMDAQkydPxosXL+Dh4YGuXbsWehvyIpfL4eTkhP379+fbp0aNGgAKn2M/Pz80a9YM+/btw4oVK2Bra4vt27fD19dXuc8qYgCAefPmqZ0ZUlAUNcDLgayGDx+O77//Hj/88AMOHDiANWvWoHv37jh06FCBv5cKs70KBR3TNNk3dW348OGYMWMGNm7ciGbNmmHXrl3IyMjAqFGj9LZOMg4WX0T4b/SxvL79LejyL125ceOG2uUPistVKlasqGyzsLBA06ZN0bRpUwAvL/WoV68ePvvsM43/4NZkXYXNhy5uDn9V5cqVceLECXh5eaFevXoF9j137pzy5vARI0aoTNu4caNO43ob169fx++//44ZM2Zgzpw5KtMU36q/ztPTEwEBAQgICIAQAtOmTcOCBQuwZ88e5TfLb7svKIrWP//8U21aRkYG7t27p7LP6Yqu9hHFmVJnZ2eVsw2FMXnyZLWhwQs6y1oQf39/nDhxAj///LNa8fXzzz/Dzs4uz2/GFfbs2YMzZ87g2rVrkEgkiIuLQ2ZmpsqAEz4+PnmOLve6gnK8bds2yGQynD9/XuULj/T0dCQlJb1x2YWlq/f74MGDSE1NRXh4OFq3bq0y7fUBH95mvTKZDJ07d8aBAwdw8uTJtx50Iy8vXryAEAKpqan5Fl9Dhw7F1KlTcebMGXz66aewtrbWyborV66MW7duoW7dunB1dS2wb2FzDLw8+xUYGIhDhw6hXLlyuHPnjtpAIYrPqkwm0/izWq5cOYwePRqjR49GTk6OcoCP8+fPF/jlSGG2V9fyurQ0NjYWCQkJKr9r37Rvurm5oXfv3ti/fz9WrFiBjRs3okyZMujUqZPOYybj4j1fRAAcHBzg5eWFc+fOqXyzlZCQoHxGjz7Nnz9f5Zvnhw8fYseOHShfvjzq1q0L4OW9Oq/z8fGBp6dnoS790mRdhc2H4jJKXV26NGTIEAAv70/L656mZ8+eKYfvVnxD+fo3kteuXctziGFDyy++J0+eqF3f//z5c7XhlyUSibIAVbzP2uwL7u7uaNasGU6ePKl8LILCkiVLkJaWht69e2uwZYVjb2+PpKQkrb85/uCDDyCTyRAaGprn/ZMZGRlvvMevevXqaNu2rcq/V7+BL4yBAwfC0tISy5cvVzkr/Ouvv+L8+fPo27dvvg/MTUxMxMcff4zQ0FBl4ebq6gobGxtERUUp+127dq3Ay6kUCvocWlpaQiKRqJ3hmjt3rl7Oeunq/c7v8/P999+r7b+K9QKFOxbNnTsXdnZ2CAwMxB9//JFnn8Jux7Vr13D79m34+PjAw8Mj337u7u5Yt24dZs2ahbFjxxZqHQUZOnQogJdfNOQV+6uX4BU2x8DLz6GdnR22bt2qfBzF6yM7tm/fHp6enggLC8vzPq6cnBzl+/Ts2TO1Y72VlZXyS5E3HdcKs726dvr0abU8zZs3DwDQq1cvZZsm++aoUaOQkZGBjz/+GFFRURgxYoRBrjogw+KZL6L/99FHH2Hq1Klo3749evbsibi4OGzcuBHly5fX64EbePmHeNu2bdGzZ08kJiZi3bp1yMjIwKpVq5SDYwQHB+Off/7B+++/D19fX+Tk5OC7777Dn3/+iXHjxul0XUDh8tGwYUNYWFhg3rx5SEpKgp2dHcqXL6826IimGjRogC+++ALTp09HzZo1MWDAAJQpUwaxsbG4fv06Dh8+jBs3bsDX1xdNmjSBl5cXJk2ahHv37sHX1xc3b97Exo0bUatWLfz2229vFYOuVK1aFTVr1sSiRYuQlpaGGjVq4P79+1i/fj38/PxUfhHfvn0bzZs3R48ePVCjRg24u7vj3r17WLduHRwcHJS/yLXdF1asWIHmzZujdevW+PDDD5VDze/evRu1a9fGxIkTdZ6Hxo0b47vvvsO4cePw3nvvwdLSUvmcssIoXbo01q9fr3xu2rBhw1ChQgUkJibi1q1bOHjwIMLDw9/6GVUAcPToUWXxc+3aNQAvc6YYlGH8+PHKe4WqVKmCyZMnY/78+WjZsiWGDBmiHGK9VKlS+T6YF3g5YE/p0qVVBnSxtLTEoEGD8MUXX0AulyMtLQ1ff/01ZsyY8ca4C/oc9u3bF/v370eLFi2UZ1RPnjyJGzduqA1trQu6er87duwIOzs7DBkyBGPHjoWbmxt+//137Nq1C7Vq1cL169fV1rtq1SqMGTMGnTt3hrW1NRo1alTgvZDVqlXDoUOH0K9fP9StWxfdu3dHkyZN4OzsjPj4eFy/fh379++HVCrN85LW//3vf8qfs7KycPv2bWzcuBFyuVzluYX5ef2MvS707t0bI0eOxMaNGxEVFYUePXqgVKlSePLkCX777TccP35cWewUNsfAy0Kid+/e2LlzJ0qUKIHmzZur5bhEiRLYsWOH8v634cOHo2rVqkhNTcXdu3dx8OBBLFiwAAEBAYiIiMDIkSPRs2dPVKlSBSVLlsSNGzewbt06lC5d+o1nzgqzvbpWt25dtG3bFmPGjEHZsmVx5swZHDp0CE2bNlUWhYBmvyebN2+O6tWrY/v27bCwsFB7CDcVEQYdW5HIRNy7d09tqOOcnBwxbdo04e3tLWxsbESNGjXEli1bChxqPq/hygGIYcOGqbXnNY9iWOT4+HgREBAg3NzchFQqFY0aNRInT55Umf/AgQOie/fuwsfHR0ilUuHs7Cz8/f3FunXrVIaOz09h1lXYfAghxNatW0W1atWEtbV1vjl4lSbD0584cUJ06tRJuLq6Cmtra+Ht7S1atWollixZIjIyMpT9rl+/Ljp16iScnZ1FiRIlROPGjcXhw4fzzPnbDDX/uoKG4s9rngcPHoj+/fsLDw8PIZPJRO3atcWmTZvUchAfHy8mTJgg6tatK5ydnYVUKhXlypUTAQEB4ubNm8rlabsvCCHEjRs3xAcffCDc3NyEtbW1KFeunJg4caJITk5W6VfQ+1SYYb3T09PFiBEjhIeHh7CwsFBZZkHLyWvIcyGEuHjxoujTp4/w9PQU1tbWyiH+586dKxISEjSKKT+KePL79/q+I5fLxbp160StWrWEVCoVrq6uon///gXuYydPnhRWVlbit99+U5uWkpIiAgMDhbu7u/Dy8hIhISHK4cjfpKDP4aZNm0TNmjWFTCYT7u7uYuDAgeLhw4d55ljboeZ1+X7/+OOPonnz5sLR0VE4ODiI1q1bix9//DHP5eTm5opJkyaJ0qVLK9f76nDfBfn333/FzJkzRYMGDYSTk5OwsrISLi4u4r333hOzZs0SDx48UOmf11DzFhYWws3NTXTp0iXPRx68OtR8QbQdal5h9+7domXLlsLJyUnY2NgIHx8f0bFjR7F27VqVfoXJ8evrfVOOb968KYYNGybKlCkjrK2thZubm6hfv76YOnWq+Oeff4QQL38njx49WlSvXl04OjoKW1tbUbFiRTF+/Ph8H/OQF023tzC/p/Ob59XfA/v27RN16tQRUqlUeHp6ivHjx6sMba+gye/J5cuXCwBqj1GgokMihB7vHiQyUVFRUahTpw4mT56MhQsXGi2OgIAAbNu2Ta838RpjXUREREVZdHQ0ypcvj1mzZiE0NFRny123bh0+/PBDHD58GN26ddPZcsl08J4vKpYUl4m88847Ro6EiIiI6OWojatXr0aZMmXQuXNnY4dDesJ7vqhYOXjwIH7//Xfl/Rj8VomIiIiM6f79+/j555/x/fff448//sCqVas40EYRxuKLipVJkyYhMTERLVq0wOLFi7V68C4RERGRts6fP4/hw4fD1dUVkyZNwocffmjskEiPeM8XERERERGRAfCeLyIiIiIiIgNg8UVERERERGQALL6IiIiIiIgMgMWXjuXk5ODRo0fIyckxdihERERERGRCWHzp2NOnT+Hj44OnT58aOxTk5ubi6dOnyM3NNXYoRRLzqz/Mrf4wt/rD3OoPc6s/zK1+Mb/6Y665ZfFFRFpLTU1F37590bdvX6Smpho7HCIiIiKTxOKLiLT24sUL7N+/H/v378eLFy+MHQ4RERGRSWLxRUREREREZAAsvoiIiIiIiAyAxRcREREREZEBsPgiIiIiIiIyABZfREREREREBsDii4iIiIiIyACsjB0AEZk/BwcHREZGKn8mIiIiInUsvohIa9bW1mjRooWxwyAiIiIyabzskIiIiIiIyAB45ouItJadnY3Dhw8DALp37w4bGxsjR0RERERkelh8EZHW0tLS8MEHHwAAEhIS4OLiYuSIiIiIiEwPLzvUkbCwMHh4eKB27drGDoWIiIiIiEwQiy8dCQkJQWxsLKKioowdChERGcnVq1chlUpx584dg687ICAAvr6+Bl+vPjRs2BCTJ082dhhERDrH4ouIiExWXFwcpk2bhnfeeQcODg6QyWSoUKEChg4dioiICJW+W7duhUQiUfnn7u6O5s2bIzw8XG3Zij6BgYF5rnvu3LnKPtHR0RrFO3/+fPTq1QuVKlUq7KbSK6ZOnYrVq1fj6dOnxg6lWHj23XeIX7PW2GEQFQu854uIqIhZdvp2vtOEkCM9/Tns7JIhkej3+7cJ7SprNf+vv/6Kzp0749mzZ+jXrx9GjRoFmUyG+/fv48iRI2jdujWOHz+Ojh07qswXGhoKPz8/CCEQGxuLnTt3omfPntizZw/69eun0lcmk+HgwYNYs2YNpFKpyrTdu3dDJpMhMzNTo3ijoqJw4cIFnD59WqvtflsbN26EXC43yrp1rUePHnB0dMTq1asxd+5cY4dTpMWvWQvYyowdBlGxweKLiIhMTnJyMnr06AELCwtcvXoVVatWVZn+xRdf4ODBg7C3t1ebt3379mjcuLHy9ahRo+Dt7Y3du3erFV/t27fHd999h+PHj6Nnz57K9t9//x23bt1C7969ceDAAY1i3rp1K9zd3Y32zDtra2ujrFcfLCws0KdPH2zbtg2zZ882djhF2qXoRMDZAUhKxbsrVwEA3MePM3JUREUXLzskIiKTs27dOjx+/BhfffWVWuGl0KtXLzRr1uyNy7K3t4e9vT2srNS/byxVqhRatWqFXbt2qbTv2rULfn5+KkXcmxw+fBhNmzaFhYXqr9aWLVuiatWquHHjBlq3bo0SJUqgdOnSWLRokdoy4uPjERwcjFKlSkEmk6FmzZrYuHGjRut//Z6v6OhoSCQSbN26Va2vRCJBaGio8nVoaCgkEglu3ryJwYMHw8nJCW5ubpg2bRqEEHj8+LHybJSnpyfCwsJUlhcZGQmJRIJdu3Zh1qxZ8Pb2RokSJdC+fXu1+9/+/fdfBAUFwcfHB1KpFJ6enujYsSP+/PNPlX7t2rXDw4cP8dtvv2m0/VQ4y07fVjtLfvFeAi7eSzBSRETFA898EZHWpFIpxowZo/yZSFtHjx6Fra0tevXqVeh5nz17hvj4eAAv7xlbv349nj59iqFDh+bZf+DAgRgzZgxSUlLg6OgIuVyOPXv2YMSIERqv8/Hjx/jnn38wfPjwfGPq2LEjevbsib59+2L//v347LPPUKtWLeVlk5mZmWjVqhVu3bqFsWPHws/PD+Hh4QgODkZCQgKmTJlSyEwU3oABA1C1alUsWLAAx48fx/z58+Hi4oLNmzejefPmWLhwIXbt2oXJkyejfv36aN26tcr8CxcuRG5uLj799FMkJSVh+fLlaNWqFa5du6Z8BEWfPn1w/fp1jBs3DuXLl0dcXBzOnz+P27dvo0aNGspl1a9fHwDw008/oV69enrf9uKm4vFvAADCQmLkSIiKFxZfRKQ1Ozs7rF692thhUBFy8+ZNVKlSRe1SutTUVGRlZSlfy2QytUsPO3TooPLaxsYG69evR/fu3fNcV69evTBmzBgcOHAAw4cPR2RkJJ48eYJBgwbhu+++0yjeW7duAQDKlSuX5/SnT59i27ZtygIwMDAQ5cqVw6ZNm5TF14YNG/DHH39g69atGDZsGABgzJgxaN++PUJDQzFy5Ei4urpqFM/bql+/PjZt2gQACA4Ohq+vLyZPnoy5c+fi888/B/CyQPP29sbmzZvViq9///0Xf/31F0qWLAkAaNWqFdq0aYOlS5fiiy++QHJyMn788UeEhYXh008/Vc6XV2FZunRp2NjY4MaNG3ra2uJJcbaropHjICqueNkhERGZnJSUlDzv5xo5ciTc3d2V/8aNU783ZcWKFTh9+jROnz6NnTt3om3btvjwww+xb9++PNfl5OSETp06Yffu3QBeDrRRr169fC93zEtCQoJyWXmxtbXF4MGDla9tbGzg7++Pe/fuKduOHTsGd3d3lX6Wlpb45JNPkJWVhTNnzmgcz9sKCgpSWXeDBg0ghFAZEbJkyZKoUqWKSuwKQ4cOVRZeANC6dWvUqFFDWcTa2trCxsYGkZGRSExMfGM8zs7OyrOYRERFAYsvIiIyOQ4ODkhNTVVrnz59urKwksnyHqGtYcOGaNu2Ldq2bYtBgwbh6NGjqFWrFj766CNkZ2fnOc/AgQNx7tw5REdH48CBAxg4cKBOt6d06dJq94I5OzsjKSlJ+frBgweoWLEiLC0tVfpVq1YNADQe7l4bZcuWVXnt5OQEa2trlCpVSq391dgV8hpiv3LlysrYpVIpFi5ciBMnTsDT0xNNmzbFl19+iYcPH+YZjxACEgkvizO0oxNm4+gEDnRCpA8svohIa4mJicrnIWnybTbRm1SrVg23b9/GixcvVNpr1qypLKxeL1LyY2FhgZYtW+Lff//N9+HHnTt3hr29PYYPH46UlBQMGDCgUPG6ubkBeDlKY17yi1UIUaj1FEZ+RUtubm6+8+QV5+tFo8Lbxv7JJ5/gzp07CAsLg5OTE+bOnYtq1aohMjJSrW9ycrIyt0RERQGLLyIiMjldu3ZFRkYG9u/fr5PlKYq4tLS0PKfLZDL06tULkZGRaNGiBby9vQu1fMXZqX/++eetYyxXrhz+/vtvteJIcT/ZqyMZasLZ2RmAekH44MGDt47xTfIqbm/fvq0We/ny5fHJJ5/g2LFjuHPnDmQyGebNm6fS5/Hjx8jOzlbmloioKGDxRUREJmf06NHw8vLCxIkTlcXH23rx4gVOnz4NGxubAv+QnzhxImbNmvVWz5Xy8vJC+fLlce3atbeOs0uXLoiLi1PeewYAcrkcy5cvh1QqRdu2bQu1PEdHR7i5ueHChQsq7WvWrHnrGN9k+/btKsXeuXPn8Oeff6Jz584AgOfPnyMjI0NlnjJlysDDw0OtSFQMMf/ee+/pLd7iqOLxb5QjHRKR4XG0QyIiMjnOzs4IDw9H586dUadOHfTv3x/+/v6wsbHBw4cPcfDgQaSnp6vdowQAJ0+exN9//w0AiI2NxZ49e3D79m1MmTIFjo6O+a6zVq1aqFWr1lvH3LVrV3zzzTeQy+UaXxL5qpEjR2LDhg0IDAzElStXUKFCBYSHh+Ps2bOYP3/+W410GBQUhAULFiAoKAgNGjTAhQsXcPv27TfP+JY8PT3RpEkTBAYGIjk5GV999ZWyiAZengVr3bo1+vbtixo1akAqleL48eO4efMmFi9erLKs06dPo0yZMspBP4iIigIWX0REZJL8/f3x559/YunSpfjuu+/w7bffIjc3F97e3mjSpAmWL1+uNtQ5AJWHB8tkMlStWhVr167FqFGj9Brv8OHDsWLFCpw/f77QZ6mAl7FGRERg6tSp2LVrF5KTk1GxYkVs2LABI0eOfKuYZs6cibi4OOzfvx/79u1Dx44d8f3338PDw+Otlvcmn332Gf766y+EhYUhOTkZzZo1w8qVK5WFo4+PDwYNGoSzZ89i9+7dkEgkqFy5MjZt2qTyXDW5XI79+/djxIgRsLCwKPA+NSIicyIR/DpJpx49egQfHx88fPgQZcqUMWosubm5iIuLg7u7+1t9C0sFY37/k5iYqPzjKiEhQfkw1bfF3OoPc6s/ubm5aNOmDTw8PPId1l6fhgwZgp9//ll51s+QIiMj0apVK3zzzTfo37+/1ss7ePAgBg8ejLt378LLy4v7rQ69PoqhsJAAzg5AUiokctU/Cbsum2XI0Iok7rv6Y6655T1fREREOjJlyhQcPHgw31EV9SkmJqbIjAw4f/58jBs3Dl5eXsYOpUhRPGBZU3ErV+kpEqLii5cdEpHWJBKJ8o8+PpOHirM6deogKyvLoN/CXrt2DeHh4bhw4QJCQkIMtl59+uWXX4wdAhGRXrD4IiKtOTs7Iy4uzthhEBVLBw8exMqVK9G/f39MnTrV2OGQCSvsKIcX7yWgq55iISquWHwRERGZsdDQUJVBRoyhZcuWHJGQiEgDvOfrFVlZWRgxYgTKli0LR0dHNG7cGD///LOxwyIiIiIioiKAxdcrcnJy4Ovrix9//BHJycn48MMP0bVrVzx//tzYoRGZtLS0NPTr1w/9+vVDWlqascMhIiIiMkksvl5hZ2eHmTNnomzZsrCwsMCwYcMghDDKqFVE5iQ7Oxv79u3Dvn37kJ2dbexwiIiIiEySWRdfaWlpmDVrFjp16gR3d3dIJBIsWLAgz75ZWVmYMmUKSpcuDVtbW/j7++PkyZMFLv/WrVt4/vw5KlSooI/wiYiIiIioGDHr4is+Ph5z5szB9evXUbdu3QL7BgQEYMmSJRgwYACWL18Oa2trdO7cGefPn8+z//PnzzFkyBBMnz4dDg4O+gifiIiIyKTFrVzF530R6ZBZj3bo5eWFx48fw9vbG9HR0Shfvnye/S5fvow9e/ZgwYIF+OyzzwAAQ4cORc2aNRESEoLLly+r9M/Ozkbv3r1RvXp1TJs2Te/bQURERERERZ9Zn/mSSqXw9vZ+Y7/9+/fDwsICwcHByjaZTIbAwED88ssviI6OVrbn5uZi0KBBsLGxwaZNm/jAWCIiIjJry07fxrLTt40dBhHBzM98aerKlSvw8/ODs7OzSru/v79yuq+vLwAgODgYcXFxOHHiBKys3pyelJQUpKSkKF/HxMQAeFnE5ebm6mgL3k5ubi7kcrnR4yiqmN//vJoDXez7zK3+MLf6w9zqD3OrHYmQAwCEhfoXykIiART/8vhK/ufoRABAZ+b+rXDf1R9Ty62lpaVG/YpF8RUTEwMvLy+1dkXbkydPAAAPHjzA5s2bIZPJ4Obmpuy3fv16DBo0KM9lL126FLNnz1ZrT0hIgFQq1UX4b00ul+PZs2cAAAsLsz7JaZKY3/8kJSUpf46Pj9f6QMjc6g9zqz+6zO3Dhw/h7++Pr776Cv369dNFeGaN+612Klz+/uUPznncwy6RAPa2L38u4EHZcXFxeois6OO+qz+mlttSpUpp1K9YFF8ZGRl5FkIymUw5HQDKlSsHUcCBJy8TJ05EUFCQ8nVMTAz8/f3h6uoKd3d3LaLWnuIPYDc3N42rcdIc8/ufkiVL4vTp0wCA8uXLw9raWqvlMbfaiV+9Ot9pFnIB6fPnsChRApI8vgXXJbexY9963m3btiEwMBAAEBERgWbNmqn1qVKlCu7evYvmzZvj3Llzb72uvKxduxYlSpTAsGHDNJ5Hl/tteno6AMDBwcHov0tMAY8JWkpKzX+a4vaKpNQCiy/uh2+H+67+mGtui0XxZWtri6ysLLX2zMxM5fS35ejoCEdHR7V2S0tLk9gRLCwsTCaWooj5fcnS0hJt27bV6TKZ27dnIcn/G0C5hRwSiQQSC0mB/XRBm/dO8S2mTCbD3r170bJlS5XpFy9exN27dyGTySCRSHS+n6xbtw5ubm4YMWJEoebT1X5boUIFZGRkwNramp+B/8djwtuTyAv4YtkCL4suIQrsx7y/Pe67+mOOuTX+OToD8PLyUt6L9SpFmyaDdhARkeF16tQJ3377LV68eKHSvnv3blStWhV+fn46Xd/z5891ury3JZFIIJPJzOoPCiIierNiUXzVqVMHd+/eVbkvBQAuXbqknE5Eby87OxsHDhzAgQMHkJ2dbexwqAgZMGAAEhMTcfLkSWVbbm4u9u7di4EDB+Y5jxACK1euRK1atSCTyeDh4YHAwEDEx8er9PP19UWHDh1w9uxZNGrUCDKZDIsWLYKvry/+/PNPnD9//uVZQolEOSgT8PK+xuDgYJQqVQoymQw1a9bExo0bVZYdHR0NiUSCBQsWYOPGjfDz84NUKkXDhg3xyy+/vHG7FfNv3bpV2RYQEKASh0JoaKjayLwSiQSjR4/G/v37UaNGDdja2qJRo0a4evUqAGDjxo2oVKkSZDIZWrRogXv37qnM37JlS1StWhVRUVFo1qwZSpQogbJly2Lx4sVq69+3bx8aNmwIR0dHODg4oFq1apg7d+4bt5GIqDgqFpcd9unTB4sXL8aGDRuUz/nKysrCli1bUL9+/XyfD1YYYWFhCAsLM5kRV4gMKS0tDX369AHwcrAZFxcXI0dERUWZMmXQrFkz7N69G126dAEAnDlzBrGxsRg4cCD27t2rNs+HH36ITZs2YdiwYRg3bhwePnyIlStX4vLly/jll1+U9/sCwN9//40+ffpg5MiRCAwMRNmyZVGnTh2MHz8e9vb2+PzzzwEA9vb2AF5ert6qVSvcunULY8eOhZ+fH8LDw5Uj5b5+meLevXuRlpaGUaNGQSKRYNGiRejVqxfu3bun9b2Rb/K///0Px44dw9ixYyGRSDB//nx06dIF06dPx4oVK/Dhhx8iOTkZCxcuREBAAC5cuKAy/7Nnz9C+fXv07NkT/fr1w+HDhxESEoLc3Fzl79IzZ86gf//+aN26NebPnw9LS0v89ddf+PHHH/W6bURE5srsi69Vq1YhOTkZycnJAF7emJ2TkwMAGD9+PJycnNCoUSP07dsX06dPR3x8PCpVqoTt27fj/v37ykECtBUSEoKQkBA8evQIPj4+OlkmEREBAwcOxMSJE5Geng47Ozvs2rULjRo1yvOSw//9739Yv349tm3bhqFDhyrbO3TogGbNmmH79u0qz3y8e/cuDh8+jG7duqksZ/r06XBzc8PgwYNV2jds2IA//vgDW7duVQ7GMWbMGLRv3x5z5sxBjx49VAYmePjwIe7cuaN81EmVKlXQvXt3nDx5UllM6sutW7dw8+ZNZZ6cnZ0xatQozJw5E3fu3IGTkxMAICcnB/Pnz8fff/+NihUrKud/+vQpvvzyS0ydOhXAy6K2bdu2mDNnDkaPHg0nJyccO3YMDg4OOHnyJC+RJCLSgNlfdrh48WLMmDEDS5YsAQCcOnUKM2bMwIwZM1QuM9y+fTsmTJiAXbt24aOPPkJmZiaOHj2KVq1aGSt0IiLSQN++ffHixQuEh4cjIyMD4eHh+T7+Y9++fbC3t0eHDh0QHx+v/Fe1alV4enoiIiJCpX+ZMmXUCq+CHDt2DO7u7ipFmaWlJT755BNkZWXhhx9+UOnfu3dvlWdMKkZtfP0yP31o1aqVSoHaqFEjAECvXr2Uhder7a/HZGFhgbGvjFhpaWmJsWPH4vnz58o8Ojk5IT09HadOndLbdpBpiFu5CnErVxk7DCKzZ/ZnvqKjozXqp7iWf9GiRfoNiIiIdMrFxQXt27fHrl27YGVlhefPn+f77Kvbt28jLS0Nnp6eeU6PjY1VeV2hQoVCxfLgwQNUrFhR7SxPtWrVALw80/WqsmXLqrxWFGKv34OsD6+vW1FwvX51hqL99Zg8PT3VRvOtXLkygP9+944ZMwbffvstOnXqBG9vb7Rt2xa9e/dG165d1e5DI8Nbdvo2AKDiG/oRkeGYffFFRERF38CBAzF06FCkpKSgbdu28PDwyLOfXC6Hq6sr9uzZk+f0V89CAdo9akQT+V2KV9hnSgLIt5jJ717j/Naty5g8PDxw5coVnDlzBt9//z1OnDiB7du3o0uXLjhy5AgLsCLk4r0EAEBXI8dBZO5YfOkIB9wgItKf7t27QyqV4qeffsK2bdvy7efn54fTp0+jcePGykEy3kZ+RUO5cuVw5coV5ObmqhQxt27dAqB+VkmXnJ2dlfc3v+rBgwd6Wd+///6LlJQUlbNft2+/PJPy6qiLNjY26NSpEzp16gQhBKZOnYqFCxfif//7H5o0aaKX2IiIzJXZ3/NlKkJCQhAbG4uoqChjh0JEVOSUKFECa9euxaxZs9CzZ898+/Xr1w9yuRxz5sxRm5abm6vx5X52dnZ59u3SpQvi4uKwe/duZZtcLsfy5cshlUqV93Tpg5+fH549e4Zr164p22JiYnDo0CG9rE8ul2P16tVqr21tbZX3SyckJKjMI5FIULduXQDIs1AkIirueOaLiLQmlUoxevRo5c9E+jBkyJA39mnevDnGjh2LsLAwXLt2De3bt4dUKsXff/+N/fv3Y86cOQgICHjjcho0aIA1a9Zg9uzZqFy5Muzt7dG1a1eMHDkSGzZsQGBgIK5cuYIKFSogPDwcZ8+exbx58/T6mIX+/fvjs88+Q8+ePfHRRx/h+fPnWLt2LSpXrozff/9d5+srVaoUli9fjn/++Qc1a9ZEeHg4IiMj8eWXXyrvEwsKCkJ8fDzatGkDHx8fPH78GKtWrYKXlxeaN2+u85iocCoe/8bYIRDRa1h8EZHW7OzssHbtWmOHQf/Pffy4fKfl5uYiLi4Obu7uRXZo8FWrVqFevXpYt24dPv/8c1hZWaFs2bL44IMP0Lp1a42WMXPmTDx8+BBLly5FSkoKypUrh65du0ImkyEiIgJTp07Frl27kJycjIoVK2LDhg0YMWIE4uLi9LZdrq6uOHToECZOnIjJkyejfPnymD9/Pu7cuaOX4svJyQl79+7FuHHjsHXrVri5uWHhwoWYPHmyss/gwYPx9ddfY926dUhKSoKnpyc6deqEWbNmwcHBQecxERGZO4l4mztsKV+K53w9fPgQZcqUMWosij+y3IvwH1nGxPzqD3OrP8yt/ugyt3fv3kXFihWxY8cOtWeNGULLli3x9OlT5b1sxsb99u0cnTD7jX2EhQRwdgCSUiGRv/lPwq7LZukitGKD+67+mGtuec+XjoSFhcHDwwO1a9c2dihERGTmYmJiAABubm5GjoSIiHSJxZeOcMANKs4SExNhaWkJS0tLJCYmGjscIrO2efNmTJkyBSVKlEDjxo2NHQ4REekQiy8i0gm5XA65XG7sMIjMXnBwMBITE/Htt9+iZMmSxg6HiIh0iANuEBERmZCcnBxjh4DIyEhjh0BEVCTxzBcRERERaSRu5SrErVxl7DCIzBaLLyIiIiIiIgPgZYc6EhYWhrCwMOTm5ho7FCIiIirGlp2+DQCoaOQ4iEgdz3zpCEc7JCIiIiKigvDMFxFpTSKRwMXFRfkzEREREalj8UVEWnN2dkZCQoKxwyAiIj27eO/lsb6rkeMgMlcsvoiIiIiKkIrHvzF2CESUD97zRUREpGPR0dGQSCTYunWrsUNR4evriw4dOhg7DJPNDxGRvrH4IiKtpaWlYcCAARgwYADS0tKMHQ4VAWlpaZg1axY6deoEd3d3SCQSLFiwIN/+N2/eRMeOHeHg4AAXFxcMGjQI//77r0qfrKwsfPTRR/Dw8EDp0qXxxRdfqC0nNTUV3t7e2LNnj863iYiIiJcdEpHWsrOzlX+srl692sjRUFEQHx+POXPmoEyZMqhbty5Onz6db99Hjx6hefPmcHR0xLx585Ceno6wsDBcu3YNv/zyC2QyGYCXjwTZtm0bPv/8c6SmpmLOnDnw8/PDgAEDlMuaM2cOKlWqhP79++t9G4uzcuXKISMjA9bW1sYOhYjIoFh86Qif80VEpDteXl54/PgxvL29ER0djfLly+fb98svv0Rqaip+/fVXlCtXDgDQsGFDtGvXDps3b8aYMWMAAN999x0mTZqEyZMnAwAePnyII0eOKIuvv/76C6tWrcLFixf1vHX/SU9Ph52dncHWZwhCCGRmZsLW1lZtWnZ2NiwsLGBlZaUsinXh1eUSEZkyXnaoI3zOFxGR7kilUnh7e2vU98CBA+jUqZOy8AKAtm3bonLlyti3b5+yLSMjA87OzsrXLi4ueP78ufL1Rx99hOHDh6N27dqFijU5ORkBAQFwcXFBlSpVMHz4cCQnJ6v1CwgIgEwmQ3R0NLp16wZHR0d07twZAJCbm4t58+ahYsWKkEqlKFu2LCZPnoyMjAyVZSju2Tp37hzq168PmUyGypUrY/v27YWK+U3zZ2dnY9asWWjYsCGcnZ1ha2sLf39/hIeHqy1LIpFg9OjR2Lt3L2rVqgWpVIq9e/ciMjISEokEu3btQmhoKMqWLQtbW1s8evQo33u+YmJiEBQUhFKlSkEqlaJatWpYu3atSp+ClktEZOr4FREREZmtx48fIzY2Fg0aNFCb5u/vjyNHjihfN2zYEBs2bEDLli2RlpaGb775BuPGjQMAhIeH49dff8U33xRulDghBLp3744ff/wRwcHB8PHxwblz5zBs2LA8+8vlcrz//vvw9/dHWFiY8kzNqFGjsGnTJvTq1QsTJ07Er7/+irCwMPzxxx84duyYyvPz7t27h969e2PkyJEYOnQodu3ahWHDhkEqlaJfv35vjFmT+VNSUrB+/Xr0798fw4cPR2ZmJnbv3o2ePXvi+PHj6Nixo8oyL1y4gP3792PcuHEoVaoUqlatiszMTAAvz0xaWFjg448/hhAC9vb2ed4bGhsbi8aNGyM3NxdjxoyBh4cHzp49izFjxiAuLg7BwcEq/fNaLhGRqWPxRURUxCQmJuY7TS6Xq7xOS0tDdnZ2vv0dHByU9+VkZ2cXOKCKVCo1+CV0MTExAF5epvg6Ly8vpKSkKC/tCw0NRYcOHfDOO+8AAJo2bYqPP/4YmZmZmDhxIubOnat8WLimjhw5ggsXLmDhwoWYNGkS4uLi8Omnn6J9+/Z59n/x4gW6dOmCpUuXKtuuXbuGTZs2ISAgAFu2bFG2ly1bFrNnz8axY8fQpUsXZfudO3ewe/du5eWSwcHBqFu3LkJCQtC3b19YWBR8UYsm8zs7O+PBgweQSqXK+caNG4d69ephyZIlasXXrVu38Pvvv6NOnTrKtsjISAAvBzG5efOmyr6R1340ffp0ZGVl4fr163B3dwcAjB49GiNHjsSCBQvQr18/ZXt+yyUiMnW87JCIqIhxdXXN91/16tVV+o4YMaLA/j/99JOy75EjRwrsGxISYuhNVV6W92qRoKC4p0jRp0yZMrh69SquXr2KP/74A+fPn4e9vT0WLVoER0dHjBo1Cjdu3ECrVq1QunRpDB48GCkpKQWu//jx47CwsMCHH36obLO0tMTYsWPznUdxD5rCsWPHAAATJ05UaZ8wYQIsLS2V0xU8PDxUznDZ2toiKCgIDx8+xLVr1wqMV9P5LS0tlTnNzs5GYmIiUlJS0Lx5c/z2229qy3zvvfdUCq9XDR069I0FkhAC+/fvR+fOnSGRSBAfH6/89/777yMjIwO///57oZdLRGRqWHwREZHZUgzqkJWVpTZNcdnbqwM/WFlZoXbt2qhRowYsLCzw4MEDLFy4ECtXroRcLkeXLl1Qq1YtHD58GP/88w/Gjx9f4PofPHiAUqVKwcHBQaW9cuXKefa3sLCAr6+v2jIkEonaPE5OTvDy8kJ0dLRKu5+fn9rZLcW8r/fNi6bzf/3116hRowZkMhlcXV3h7u6OtWvX4tmzZ3kus6D1vUlcXBySkpKwefNmuLu7q/z74IMPALwcAbOwyyX9iVu5ytghEJklXnZIRFpzcHDAmTNnlD+TcSUkJOQ7TS6XIycnR/l68+bNWLduXb79X30/u3XrVuCy8zr7pG+Kyw0Vlx++KiYmBo6OjgWeHZk0aRK6deuGZs2a4YcffkBMTAwWLVoEmUyG2bNno0OHDtiyZcsbL+XTlLW1tVmMyLdr1y6MHDkSXbt2xWeffQYPDw9YWVlhy5Yt2L17t1r/vEY21GSaguJy2AEDBmDEiBFq03Nzc1GqVKlCL5eIyNSY/m8AIjJ51tbWaNOmjbHDoP9X0H1Lubm5iIuLU74uzCAFNjY2hb4nSt9Kly4Nd3d3/Prrr2rTLl++nO+lcABw9uxZnDhxArdu3QIAPHnyBM7OzsrLFb29vZGdnY24uDh4enrmuYxy5crh9OnTSE1NRYkSJZTtt2/f1ngbypUrByEEbt++jVq1ainbU1JSEBMTo3K/FwDcvXsXcrlcpSBUrO/1s2p50WT+b7/9FhUqVMDhw4dVBvt49Z40XXJ3d4eDgwNycnLQtm1btemv77dEROaKlx0SEZFZ6927N44fP44HDx4o286ePYvbt2+jb9++ec6Tk5ODjz76CFOnTkWZMmUAAJ6enoiLi1MOWHLz5k1YWVnBzc0t33V36tQJcrlcZTh0uVxeqIeNK4ab/+qrr1Taly9fjtzcXLXiKzY2Fnv37lW+zsjIwNdff40yZcooBxMpiCbzW1paAnh5L5bCvXv3cOjQIY23qzAsLS3Rp08fhIeH5/nIFhZeRFRU8MyXjvAhy1ScZWdnKwcF6Ny5M2xsbIwcERUFq1atQnJysvKZWREREcpLJsePHw8nJycAwLRp0/Dtt9+idevW+Pjjj/H8+XOEhYWhevXqCAoKynPZK1euRGZmJj799FNl27vvvgtPT0/07dsXvXr1wuLFi9GrVy9lIZKXrl27okmTJpg6dSru37+PsmXL4uzZswWOOPm6d955B4GBgdi0aROePXuG1q1b4/fff8fmzZvRoUMHdOrUSaV/pUqVMGbMGFy5cgVlypTBzp078ddff2HXrl0aXR6pyfzdunXDwYMH0a1bN3Tr1g2PHz/GmjVrUKVKFVy9elXjbSuMBQsWIDIyEu+++y5GjhyJGjVqICkpCVevXsWhQ4c0up+NgGWnb6OiAdZz8V4CuhpgPURFDYsvHQkJCUFISAgePXoEHx8fY4dDZFBpaWno1asXgJf3G5napWlknhYvXqxyNuvUqVM4deoUAGDw4MHK4svHxwfnz5/HpEmTMG3aNFhbW6Njx45YunSp8hLCV/37778IDQ3F9u3bVe5Tk0qlCA8Px6hRozB16lS0bNkSq1YVPKiAhYUFjhw5gk8++UR5L1S3bt2wePFi1K1bV+NtXb9+PcqXL4/NmzfjyJEj8PT0xKefforZs2erXPYHABUqVMC6desQEhKCP//8Ez4+PtiyZQsGDhyo0bo0mX/YsGGIjY3F2rVrcebMGVSsWBHLli3D33//rbfiy8PDA5cuXcLcuXMRHh6OtWvXwsXFBdWqVUNYWJhe1lkUVTxeuGfVEZFhScSr1xSQ1hTF18OHD5WXshiL4hp5d3f3Ar+5pbfD/P4nMTERrq6uAHRTfDG3+sPc6o8hcuvr64uqVavixIkTelm+qeJ+q7mjE2YXqr+wkADODkBSKiTywv1J2HXZrEL1L4647+qPueaW93wREREREREZAIsvIiIiIiIiA2DxRUREREREZAAccIOIiMhMcMQ/IiLzxjNfREREREREBsAzX0SkNalUiuDgYOXPRERERKSOxRcRac3Ozg7r1683dhhEREREJo2XHRIRERERERkAiy8iIiIiIiIDYPGlI2FhYfDw8EDt2rWNHQqRwSUmJsLa2hrW1tZITEw0djhEREREJonFl46EhIQgNjYWUVFRxg6FyChycnKQk5Nj7DCIiIiITBaLLyIiIiIqtLiVqxC3cpWxwyAyKyy+iIiIiIiIDIDFFxERERERkQGw+CIiIiIiIjIAFl9EREREREQGYGXsAIjI/EkkEpQsWVL5MxERGday07cBABWNHAcRFYzFFxFpzdnZGUlJScYOg4iIDOjivQQAQFcjx0FkTnjZIRERERERkQHwzBcRERGRmat4/Btjh0BEGuCZLyLSWlpaGgYNGoRBgwYhLS3N2OEQERERmSQWX0SktezsbOzevRu7d+9Gdna2scMhIiIiMkksvoiIiIiIiAyAxRcREREREZEBsPgiIiIiIiIyABZfREREREREBsDiS0fCwsLg4eGB2rVrGzsUIiIiIiIyQSy+dCQkJASxsbGIiooydihERERERGSC+JBlItKag4MDTp06pfyZiIiIiNSx+CIirVlbW6Ndu3bGDoOIiIjIpPGyQyIiIiIiIgPgmS8i0lp2dja+//57AEDHjh1hY2Nj5IiIiMhQ4lauAgC4jx9n5EiITB+LLyLSWlpaGnr06AEASEhIgIuLi3EDIiIiIjJBvOyQiIiIiIjIAHjmi4iIiIje2sV7CQCArkaOg8gcsPgiIiIiMlPLTt8GAFQ0chxEpBkWX0RERERmquLxb4wdAhEVAu/5IiIiIiIiMgAWX0RERERERAbAyw6JSGtSqRRBQUHKn4mIiIhIHYsvItKanZ0dNm7caOwwiIiIiEwaLzskIiIiIiIyABZfREREREREBsDii4i0lpiYCKlUCqlUisTERGOHQ0RERGSSeM8XEelEdna2sUMgIiIiMmk880VERERERGQALL5es2rVKtStWxdWVlYIDQ01djhERERERFREsPh6TenSpTFnzhz07NnT2KEQEREREVERwnu+XqMoug4fPmzkSIiIiIiIqCgx6zNfaWlpmDVrFjp16gR3d3dIJBIsWLAgz75ZWVmYMmUKSpcuDVtbW/j7++PkyZMGjpiIiIiIiIorsy6+4uPjMWfOHFy/fh1169YtsG9AQACWLFmCAQMGYPny5bC2tkbnzp1x/vx5A0VLVHRJJBI4OjrC0dEREonE2OEQERERmSSzvuzQy8sLjx8/hre3N6Kjo1G+fPk8+12+fBl79uzBggUL8NlnnwEAhg4dipo1ayIkJASXL182ZNhERY6zszOePXtm7DCIiMiI4lauAgC4jx9n5EiITJdZn/mSSqXw9vZ+Y7/9+/fDwsICwcHByjaZTIbAwED88ssviI6O1mOUREREREREZn7mS1NXrlyBn58fnJ2dVdr9/f2V0319fQEAOTk5yMnJQW5uLnJycpCZmQlra2tYWlrmueyUlBSkpKQoX8fExAAAcnNzkZubq4et0Vxubi7kcrnR4yiqmF/9YW71h7nVH+ZWf5jb/AkL7S71FhIJoPin5Vfy8v//n+/Tf7jv6o+p5Ta/WuF1xaL4iomJgZeXl1q7ou3JkyfKti+++AKzZ89Wvp43bx62bNmCgICAPJe9dOlSlf4KCQkJkEqlWkauHblcrrwUzMLCrE9ymiTm9z/p6enKS3oXLlwIOzs7rZbH3OoPc6s/zK3+MLcFcHbQbn6JBLC3ffmzEFot6tKzFwAA/7g47WIqQrjv6o+p5bZUqVIa9SsWxVdGRkaehZBMJlNOVwgNDS3Uw5UnTpyIoKAg5euYmBj4+/vD1dUV7u7ubx+0Dii+CXBzc9O4GifNMb//sbS0xIEDBwAAa9euhYuLi1bLY271h7nVH+ZWf5hbdSvP3gEAVEhK1W5BikGSklK1Lr4UjP33jynhvqs/5prbYlF82draIisrS609MzNTOf1tKUZ4e52lpaVJ7AgWFhYmE0tRxPy+9Or26yofzK3+MLf6w9zqD3OrSkheftMvkWtZMFngZdElhPbL+n98j1Rx39Ufc8yt8c/RGYCXl5fyXqxXKdo0GbSDiIiIiIhIG8Wi+KpTpw7u3r2LpKQklfZLly4ppxMREREREelTsSi++vTpA7lcjg0bNijbsrKysGXLFtSvXz/f54MVRlhYGDw8PFC7dm2tl0VEREREREWP2d/ztWrVKiQnJyM5ORkAEBERgZycHADA+PHj4eTkhEaNGqFv376YPn064uPjUalSJWzfvh3379/H6dOndRJHSEgIQkJC8OjRI/j4+OhkmUREREREVHSYffG1ePFiPHjwQPn61KlTOHXqFABg8ODBcHJyAgBs374dM2fOxM6dO5GYmIiaNWvi6NGjaNWqlVHiJiIiIiKi4sXsi6/o6GiN+slkMixatAiLFi3Sb0BExZCDgwNOnDih/JmIiPSr4vFvjB0CEb0Fsy++TEVYWBjCwsJM5inbRIZkbW2N9u3bGzsMIiIiIpNWLAbcMISQkBDExsYiKirK2KEQEREREZEJ4pkvItJadnY2Tp48CQBo3749bGxsjBwRERERkelh8UVEWktLS0O3bt0AAAkJCXBxcTFyRERERESmh5cdEhERERERGQCLLyIiIiIiIgNg8aUjYWFh8PDwQO3atY0dChERERERmSAWXzrC0Q6JiIiIiKggLL6IiIiIiIgMgMUXERERERGRAXCoeSLSmo2NDUaMGKH8mYiIiIjUsfgiIq3Z29tj06ZNxg6DiIiIyKRpddnhgAEDcOLECcjlcl3FY7Y42iERERERERVEq+Lr3Llz6Ny5M7y9vTFx4kT8/vvvuorL7HC0QyIiIiIiKohWxdeTJ09w9OhRtG7dGhs2bEDDhg1Ro0YNLFy4EI8ePdJVjERk4hITE2FrawtbW1skJiYaOxwiIiIik6RV8WVpaYlOnTph9+7d+Pfff7FlyxaULl0a06dPh6+vL9q0aYNt27YhLS1NV/ESkYnKzMxEZmamscMgIiIiMlk6G2rezs4OQ4cOxalTp/Dw4UP06dMHERERGDFiBDw9PTFkyJBifVkiEREREREVbzp9ztf9+/cxd+5ctGjRAvv27YO7uzvGjx+PsWPH4syZM/D398eqVat0uUoiIiIiMiFxK/m3HlF+tC6+kpKSsG7dOjRp0gQVK1bEvHnzUKtWLRw+fBiPHz/GV199hUWLFuHBgwfo2bMnvvjiC13ETUREREREZFa0es5Xjx49cOLECWRnZyvPavXv3x/Ozs5qfW1sbNCzZ08cOHBAm1USERERERGZJa2Kr99//x2TJk3C0KFDUaVKlTf2b9euHSIiIrRZpckKCwtDWFgYcnNzjR0KERERERGZIK2Kr3/++adQ/d3d3dGiRQttVmmyQkJCEBISgkePHsHHx8fY4RAZnL29vbFDICIqFnhPFZH50nqo+W+++Sbf6Xv37oWlpaU2qyAiM+Di4oLU1FSkpqbCxcXF2OEQERERmSStii8hBIQQ+U6Xy+WQSCTarIKIiIiIXnHxXoKxQyiQqcdHZExaj3ZYUHF16dKlPAffICIiIiIiKm4Kfc/X8uXLsXz5cuXrTz75BJ9//rlav+TkZDx79gxDhw7VLkIiMnlpaWkYO3YsAGD16tW8/4uIiIgoD4Uuvjw8PFCjRg0AQHR0NEqXLo3SpUur9JFIJLCzs0ODBg0wZswY3URKRCYrOzsb27dvBwAsW7bMyNEQERERmaZCF18DBgzAgAEDAACtWrXC9OnT0aZNG50HRkREREREVJRoNdR8UX1mFxERERG9PcVw+O7jxxk5EiLTUqjiS/Fcr7Jly6q8fhNF/6KMD1kmIiIiIqKCFKr48vX1hUQiQUZGBmxsbJSv36Q4FCR8yDIRERERERWkUMXX5s2bIZFIYG1trfKaiIiIiIiIClao4isgIKDA10RERERERJQ3rQbcyE9MTAySk5NRrVo1fSyeiEyMvb09jh8/rvyZiIiIiNRZaDPzhg0bMHz4cJW28ePHo0yZMqhZsybq1auH+Ph4rQIkItNnY2ODjh07omPHjrCxsTF2OEREREQmSavia+3atShRooTydWRkJFavXo2BAwfiyy+/xJ07dzBv3jytgyQiIiIiIjJ3Wl12eP/+fYwcOVL5eu/evShTpgy2bdsGCwsLJCcnY9++fVi2bJnWgRKR6crOzsbp06cBAO3atePZLyIiIqI8aFV85eTkKEc+BIDTp0+jY8eOsLB4eUKtUqVKePLkiXYREpHJS0tLQ5cuXQAACQkJcHFxMXJERERERKZHq8sOK1SogLNnzwIAfv31V9y7dw/t27dXTn/69CkcHR21i5CIiIiIiKgI0OrM1+jRozFu3DjcuHFD+XDhTp06Kaf/+OOPqFGjhtZBEhERERERmTutiq8xY8ZAKpXi2LFjqF+/Pj777DPIZDIAQGJiImJjYzF69GidBEpERERERGTOtH7OV2BgIAIDA9XaXVxc8Ouvv2q7eLMRFhaGsLAw5ObmGjsUIiIiIiIyQVrd80X/CQkJQWxsLKKioowdChERERERmSCtz3ydPHkSmzZtwr1795CUlAQhhMp0iUSCu3fvarsaIiIiIiIis6ZV8RUWFoYpU6bA09MT/v7+qFWrlq7iIiIzYmNjg4CAAOXPRESke8tO3wYAVDRyHJq4eC8BANDVyHEQmRqtiq/ly5ejdevWOH78uMrzvoioeLG3t8eWLVuMHQYRERGRSdPqnq+kpCT06dOHhRcREREREdEbaFV8NWrUCH/99ZeuYiEiIiIiIiqytCq+Vq9ejUOHDmHXrl26ioeIzFBiYiLs7OxgZ2eHxMREY4dDREREZJK0uuerd+/eyMrKwtChQzFq1CiULl0alpaWKn0kEgn+/PNPrYIkItP3/PlzY4dARFSkVTz+jbFDICItaVV8eXh4wNPTE1WqVNFVPEREREREREWSVsVXZGSkjsIgIiIiIiIq2rS654uIiIiIiIg0o3XxlZCQgOnTp6NJkyaoVKkSfv75Z2X7nDlzcPPmTa2DJCIiIiIiMndaXXYYHR2Npk2bIiEhAbVq1cK9e/eQkZEBAHB1dcWePXsQGxuLVatW6SRYIiIiIiIic6VV8TV58mQIIXDjxg04ODjAw8NDZXr37t0RHh6uzSqIyEyUKFHC2CEQERERmTStiq8zZ84gJCQE5cuXR0JCgtr08uXL49GjR9qsgojMgIuLC9LT040dBhEREZFJ0+qer8zMTDg7O+c7PTk5GRYWxWNMj7CwMHh4eKB27drGDoWIiIiIiEyQVpVRzZo1cf78+Xynh4eHo169etqswmyEhIQgNjYWUVFRxg6FiIiIiIhMkFbF1yeffIJ9+/Zh3rx5SExMBADk5ubi1q1bGDhwIC5duoSJEyfqJFAiMl1paWkYPnw4hg8fjrS0NGOHQ0RERGSStLrna+DAgfjnn38wc+ZMzJw5EwDQoUMHAICFhQUWLVqErl27ah8lEZm07OxsbN26FQCwZMkS4wZDREREZKK0Kr4AYMqUKRg4cCAOHjyIO3fuQC6Xw8/PD71790b58uV1ESMREREREZHZ07r4AoCyZcvik08+0cWiiIiIiIiIiqRCFV8WFhaQSCSFXklubm6h5yEiIiIiIipKClV8zZw5U634OnToEG7cuIH27dujcuXKAIC//voLp06dQo0aNdCjRw+dBUtERERERGSuClV8hYaGqrzesGED4uPjcePGDVSsWFFl2u3bt9GqVSt4e3trHSQREREREZG502qo+bCwMIwdO1at8AKAypUrY+zYsVi0aJE2qyAiIiIiIioStBpw49GjR7Cyyn8RlpaWePTokTarICIzYG9vj++++075MxERERGp0+rMV82aNbFmzRo8fvxYbdqjR4+wdu1a1KpVS5tVEJEZsLGxQefOndG5c2fY2NgYOxwiIiIik6TVma9ly5ahffv2qFSpErp164ZKlSoBAO7cuYOjR49CCIGdO3fqJFAiIiIiIiJzplXx1bRpU1y6dAkzZszA0aNHkZGRAQCwtbVF+/btMXv2bJ75IioGsrOzcfbsWQBAmzZtePaLiIiIKA9aP2S5Zs2aOHToEORyOeLi4gAA7u7usLDQ6opGIjIjaWlp6NSpEwAgISEBLi4uRo6IiIiIyPRoXXwpWFhYwNPTU1eLIyIiIiIzF7dyFQDAffw4I0dCZBp4eoqIiIiIiMgAWHwREREREREZgM4uOyQiIiIietXFewkAgK5GjoPIVPDMFxERERERkQGw+CIiIiIiIjIAFl+viY+PR5cuXWBnZ4dKlSrhxIkTxg6JyOTZ2Nhg6NChGDp0KJ/xRURERJQP3vP1mjFjxsDDwwNxcXE4e/Ys+vXrhzt37sDDw8PYoRGZLHt7e2zbts3YYRARERGZNJ75ekVaWhrCw8MxZ84clChRAl27dkW9evUQHh5u7NCIiIiIiMjMmXXxlZaWhlmzZqFTp05wd3eHRCLBggUL8uyblZWFKVOmoHTp0rC1tYW/vz9Onjyp0ufOnTuwt7dHmTJllG21a9fGn3/+qdftICIiIiKios+si6/4+HjMmTMH169fR926dQvsGxAQgCVLlmDAgAFYvnw5rK2t0blzZ5w/f17ZJy0tDY6OjirzOTk5IS0tTS/xExUViYmJcHR0hKOjIxITE40dDhEREZFJMut7vry8vPD48WN4e3sjOjoa5cuXz7Pf5cuXsWfPHixYsACfffYZAGDo0KGoWbMmQkJCcPnyZQAv71tJSUlRmTclJQX29vb63RCiIiA1NdXYIRARERGZNLM+8yWVSuHt7f3Gfvv374eFhQWCg4OVbTKZDIGBgfjll18QHR0NAKhUqRLS0tLw+PFjZb+oqCjUqFFD57ETERERaeLohNk4OmG2scMgIh0w6zNfmrpy5Qr8/Pzg7Oys0u7v76+c7uvrC3t7e3Tv3h0zZ87EypUrERERgd9++w179uzJd9kpKSkqZ8tiYmIAALm5ucjNzdXD1mguNzcXcrnc6HEUVczvf17NgS72feZWf5hb/WFu9ae451ZYSPS3bIkEUPzT41fyxfW9K+77rj6ZWm4tLS016lcsiq+YmBh4eXmptSvanjx5omxbu3Ythg0bBjc3N3h7e2PPnj0FDjO/dOlSzJ6t/m1UQkICpFKpDqJ/e3K5HM+ePQMAWFiY9UlOk8T8/icpKUn5c3x8vNYHQuZWf5hb/WFu9afY59bZQX/LlkgAe9uXPwuht9XExcXpbdmmrNjvu3pkarktVaqURv2KRfGVkZGRZyEkk8mU0xXc3Nxw7NgxjZc9ceJEBAUFKV/HxMTA398frq6ucHd31yJq7Sn+AHZzc9O4GifNMb//eXX73dzc4OLiotXymFv9YW71h7nVn2Kf2yQ93lMrkfy3Dj0WX8b+m8hYiv2+q0fmmttiUXzZ2toiKytLrT0zM1M5/W0pRnh7naWlpUnsCBYWFiYTS1HE/L706vbrKh/Mrf4wt/rD3OpPcc6tRK6/oggWeFl0CaHX9RTH902hOO+7+maOuS0WxZeXlxcePHig1q64P0uTQTuIqGCKM8lERERElDfjXyBpAHXq1MHdu3dV7ksBgEuXLimnayssLAweHh6oXbu21ssiMjcuLi7IyMhARkaG1pccEhERERVVxaL46tOnD+RyOTZs2KBsy8rKwpYtW1C/fv18nw9WGCEhIYiNjUVUVJTWyyIiIiIioqLH7C87XLVqFZKTk5GcnAwAiIiIQE5ODgBg/PjxcHJyQqNGjdC3b19Mnz4d8fHxqFSpErZv34779+/j9OnTRoyeiIiIiIiKC7MvvhYvXqxyP9epU6dw6tQpAMDgwYPh5OQEANi+fTtmzpyJnTt3IjExETVr1sTRo0fRqlUro8RNVJSkp6fj448/BgAsX74cdnZ2Ro6IiIiIyPSYffEVHR2tUT+ZTIZFixZh0aJF+g2IqBjKysrCpk2bAACLFi1i8UVERESUh2Jxz5chcMANIiIiIiIqCIsvHeGAG0REREREVBAWX0RERERERAbA4ouIiIiI9Cpu5SrErVxl7DCIjI7FFxERERERkQGw+CIiIiIiIjIAsx9q3lSEhYUhLCwMubm5xg6FyODs7e1x+PBh5c9EREREpI5nvnSEox1ScWZjY4Nu3bqhW7dusLGxMXY4RERERCaJxRcREREREZEB8LJDItLaixcvEBERAQBo1aoVrK2tjRwREZH5W3b6NgCgopHjICLdYfFFRFpLTU1F+/btAQAJCQlwcXExckREREREpoeXHRIRERERERkAiy8dCQsLg4eHB2rXrm3sUIiIiIiIyASx+NIRjnZIREREREQFYfFFRERERERkACy+iIiIiIiIDIDFFxERERERkQFwqHki0pqNjQ0GDRqk/JmIiIiI1LH4IiKt2dvbY+fOncYOg4iIiMik8bJDHeFQ80REREREVBAWXzrCoeaJiIiIiKggLL6ISGtJSUkoWbIkSpYsiaSkJGOHQ0RERGSSeM8XEWlNCIFnz54pfyYiIiIidTzzRUREREREZAAsvoiIiIhMUMXj36Di8W+MHYZOxa1cZewQiIyKxRcREREREZEBsPgiIiIiIiIyABZfREREREREBsDRDolIJ6ytrY0dAhEREZFJ45kvHQkLC4OHhwdq165t7FCIDM7FxQXZ2dnIzs6Gi4uLscMhIiIiMkksvnQkJCQEsbGxiIqKMnYoRERERERkglh8ERERERERGQCLLyLSWnp6OoKDgxEcHIz09HRjh0NERERkklh8EZHWsrKysHHjRmzcuBFZWVnGDoeIiIjIJLH4IiIiIiK9ungvARfvJRg7DCKjY/FFRERERERkACy+iIiIiIiIDIDFFxERERERkQGw+CIiIiIiIjIAFl9EREREREQGYGXsAIjI/Nnb2+PQoUPKn4mIiPITt3IVAMB9/DgjR0JkeCy+dCQsLAxhYWHIzc01dihEBmdjY4MePXoYOwwiIiIik8bLDnUkJCQEsbGxiIqKMnYoRERERERkgnjmi4i09uLFC5w/fx4A0KJFC1hbWxs5IiIiIiLTw+KLiLSWmpqKdu3aAQASEhLg4uJi5IiIiIiITA8vOyQiIiIiIjIAFl9EREREREQGwOKLiIiIiIjIAFh8ERERERERGQCLLyIiIiIiIgNg8UVERERERGQAHGqeiLRmY2ODAQMGKH8mIiIiInUsvohIa/b29ti9e7exwyAiIiIyabzskIiIiIiIyABYfBERERERERkAiy8i0lpSUhJcXFzg4uKCpKQkY4dDREREZJJ4zxcRaU0IoSy6hBBGjoaIiIjINPHMl46EhYXBw8MDtWvXNnYoRERERCbp4r0E5T+i4ojFl46EhIQgNjYWUVFRxg6FiIiIiIhMEIsvIiIiIiIiA2DxRUREREREZAAsvoiIiIiIiAyAox0SkU5YWloaOwQiIiIik8bii4i05uLigpycHGOHQURERGTSeNkhERERERGRAbD4IiIiIiIiMgAWX0SktfT0dIwePRqjR49Genq6scMhIiIiMkksvohIa1lZWVi/fj3Wr1+PrKwsY4dDREREZJJYfBERERERERkARzskIiIiMhHLTt8GAFQ8/o2RIzG8uJWr4D5+nLHDINIrnvkiIiIiIiIyABZfREREREREBsDii4iIiIiIyABYfBERERERERkAB9wgIq3Z29vjwIEDyp+JiIiISB2LLyLSmo2NDXr16mXsMIiIiIhMGi87JCIiIiIiMgAWX69ZtWoV6tatCysrK4SGhho7HCKz8OLFC5w7dw7nzp3DixcvjB0OERERkUniZYevKV26NObMmYPt27cbOxQis5Gamoo2bdoAABISEuDi4mLkiIiIiIhMD4uv1/Ts2RMAcPjwYSNHQkRERERERYlJXnaYlpaGWbNmoVOnTnB3d4dEIsGCBQvy7JuVlYUpU6agdOnSsLW1hb+/P06ePGngiImIiIiIiApmksVXfHw85syZg+vXr6Nu3boF9g0ICMCSJUswYMAALF++HNbW1ujcuTPOnz9voGiJiIiIiIjezCSLLy8vLzx+/BgPHz7Ehg0b8u13+fJl7NmzB1988QUWL16M4OBgnD17Fr6+vggJCVHp27JlS0gkkjz/BQUF6XuTiIiIiIiomDPJe76kUim8vb3f2G///v2wsLBAcHCwsk0mkyEwMBDTpk1DdHQ0fH19AQCRkZF6ipaIiIiIiOjNTPLMl6auXLkCPz8/ODs7q7T7+/srpxdWTk4OMjMzkZubq/IzERERERGRNkzyzJemYmJi4OXlpdauaHvy5Emhl/nFF19g9uzZytfz5s3Dli1bEBAQkGf/lJQUpKSkqMQEALm5uUYv2nJzcyGXy40eR1HF/P7H0tISH3zwgfJnbXPC3OoPc6s/zK3+FKfcSoQcACAsJAZZn5BIAMU/A38l//r7Kc+jzdwVp33X0Ewtt5aWlhr1M+viKyMjA1KpVK1dJpMppxdWaGhooR6uvHTpUpViTSEhISHP2AxJLpfj2bNnAAALC7M+yWmSmF9Vy5cvB/Dyc/c2n71XMbf6w9zqD3OrP8Upt7a56S9/cHYwzAolEsDe9uXPQhhmnf8vLi5O5fUzWxnEa23mrjjtu4ZmarktVaqURv3MuviytbVFVlaWWntmZqZyur5NnDhRZcCOmJgY+Pv7w9XVFe7u7npff0EU3wS4ublpXI2T5phf/WFu9Ye51R/mVn+KU24zLJNf/pCUapgVSiT/rc/AxdfrfydJMjLhZuS/nXStOO27hmauuTXr4svLywsPHjxQa1dc+qfJoB3acnR0hKOjo1q7paWlSewIFhYWJhNLUcT86g9zqz/Mrf4wt/pTXHIrJC+/wZfIDVQIWeBl0SWE4db5/15/Ly3yaCsKisu+awzmmFvjn6PTQp06dXD37l0kJSWptF+6dEk5nYj0LykpCW5ubnBzc1P7PBIRERHRS2ZdfPXp0wdyuVzlWWBZWVnYsmUL6tevj/LlyxsslrCwMHh4eKB27doGWyeRqRBCICEhAQkJCRAGvmyFiIiIyFyY7GWHq1atQnJyMpKTkwEAERERyMnJAQCMHz8eTk5OaNSoEfr27Yvp06cjPj4elSpVwvbt23H//n2cPn3aoPGGhIQgJCQEjx49go+Pj0HXTUREREREps9ki6/Fixer3M916tQpnDp1CgAwePBgODk5AQC2b9+OmTNnYufOnUhMTETNmjVx9OhRtGrVyihxExERERER5cVki6/o6GiN+slkMixatAiLFi3Sb0BERERERERaMOt7voiIiIiIiMwFiy8d4YAbRERERERUEBZfOhISEoLY2FhERUUZOxQio5BIJJAoHtZJRERERGpM9p4vIjIfLi4ukMvlxg6DiIiIyKTxzBcREREREZEBsPgiIiIiIiIyABZfOsIBN6g4S09Px5gxYzBmzBikp6cbOxwiIiIik8TiS0c44AYVZ1lZWVi7di3Wrl2LrKwsY4dDREREZJJYfBERERERERkAiy8iIiIiIiIDYPFFRERERERkACy+iIiIiIiIDIDFFxERERERkQGw+NIRDjVPREREREQFYfGlIxxqnooze3t7fPvtt/j2229hb29v7HCIiIiITJKVsQMgIvNnY2ODPn36GDsMIiIiIpPGM19EREREREQGwDNfRKS1Fy9e4KeffgIANGnSBNbW1kaOiIiIiMj0sPgiIq2lpqaiVatWAICEhAS4uLgYOSIiIiIi08PLDomIiIiIiAyAxZeOFOeh5uNWrkLcylV6X74+1qPv2M2VvnPCvFNxxP1ec4XJlTnndNnp28qfFdtc8fg3qHj8GyNGZThHJ8zG0QmzNe7Pz9B/tMmDsfNYmM92UXy/WXzpCIeaJyIiIiKigrD4IiIiIiIiMgAWX0RERERERAbA4ouIiIiIiMgAONQ8EWnNxsYGffv2Vf5MREREROpYfBGR1uzt7bFv3z5jh0FERERk0njZIRERERERkQGw+CIiIiIiIjIAFl86UpwfskyUlJQEDw8PeHh4ICkpydjhEBEREZkkFl86wocsU3EmhEBcXBzi4uIghDB2OEREREQmicUXERERERGRAbD4IiIiIiIiMgAWX0RERERERAbA4ouIiIiIiMgAWHwREREREREZgJWxAyhqcnJyAAAxMTFGjgTIzc1FQkICsrKyYGlpqbf1JPz/0OJZjx7pdfkKulyPNrEbKr/GkJCUVKicvDq8/OPHj/H8+fM3Lh/IP+9FObfGxtzqz5tyq+9jZVHyeq4Kym1hj1emJDnuKR49KgHgv22OT31m0BiEhQSwyAVS0yCRG2e02kf///696b00x8+Qvo652uz3xs6jprGb498KpUqVgpVVweWVRHBcaJ365Zdf4O/vb+wwiIiIiIjIgB4+fIgyZcoU2IfFl45lZmbi+vXrcHd3f2Plq28xMTHw9/fH5cuX4eXlZdRYiiLmV3+YW/1hbvWHudUf5lZ/mFv9Yn71xxRzq8mZL152qGMymQwNGzY0dhgqvLy83liF09tjfvWHudUf5lZ/mFv9YW71h7nVL+ZXf8wttxxwg4iIiIiIyABYfBERERERERkAi68izNHREbNmzYKjo6OxQymSmF/9YW71h7nVH+ZWf5hb/WFu9Yv51R9zzS0H3CAiIiIiIjIAnvkiIiIiIiIyABZfREREREREBsDii4iIiIiIyABYfBERERERERkAiy8iIiIiIiIDYPFFRERERERkACy+zEBWVhamTJmC0qVLw9bWFv7+/jh58qRG88bExGDKlClo06YNnJycIJFIsGfPnjz7tmzZEhKJRO1fhw4ddBqTqTFEfp8/f47Vq1fj/fffh5eXFxwcHFC3bl2sXbsWubm5Kn2jo6PzfB8Keu9MlaH2XQD43//+h2bNmqFEiRLw9PTE2LFjkZaWptZPLpdj0aJFqFChAmQyGWrWrImdO3e+9TYai7afweTkZIwaNQru7u6ws7NDy5Yt8euvv6r0KWhflEgkaNeunUZ9i9N+C2iWW6B4HnMNkduifrzVJoea7ptA8TumAvrPbVHfNwtiiP3WbI6pgkxe//79hZWVlZg0aZJYv369eO+994SlpaWIjIx847wRERECgPDz8xPNmzcXAMQ333yTZ98WLVoILy8vsWPHDpV/Z8+e1WlMpsYQ+b1+/bqQSCSibdu2YtGiRWLdunWiZ8+eAoAYMmSISt/79+8LAKJfv35q70V0dLTOttsQDLXvXrlyRchkMlGnTh2xZs0a8fnnnwuZTCbatm2r1nfKlCkCgAgKChIbNmwQnTt3FgDEzp07td5eQ9Imt7m5ueK9994TdnZ2YtasWWL16tWiRo0awt7eXty8eVPZLy0tTW0f3LFjhxg9erQAIMLCwpR9ud++pGluhSiex1xD5LaoH2/fNoeF2TeL4zFVCP3ntqjvmwUxxH5rLsdUFl8m7tKlSwKAWLBggbItIyND+Pn5iYYNG75x/pSUFBEfHy+E+O+P2YKKrypVqug9JlNiqPzGxcWJP/74Q619+PDhAoDKAURxwJ0/f/7bbJLJMOS+27FjR+Hp6SmSk5OVbRs3bhQAxLFjx5Rtjx49EtbW1mL06NHKNrlcLpo1aya8vLzEixcvCr2dxqBtbvfu3SsAiD179ijbYmNjRcmSJUXfvn3fOP8HH3wgLCwsxOPHj5Vt3G9fKkxui9sx11C5LcrHW21yWJh9s7gdU4UwTG6L8r5ZEEPtt+ZyTGXxZeJCQkKEhYWFSExMVGn/8ssvBQBx//59jZelafH14sULkZKSYpCYjM2Q+c3LkSNHBABx8OBBZdurB9y0tDSRlZWl8fJMiaFy++zZM2FlZSUmTJig0p6VlSXs7e3FsGHDlG2rV68WAERUVJRK3927dwsAIiIiQuOYjEnb3Pbt21e4ubmJ3Nxclfbg4GAhk8nE8+fP85332bNnwtbWVrRp00alnfvtS4XJbXE75hpzvxWiaBxvtcmhpvkrjsdUIQyT2/wUhX2zIIbKrbkcU3nPl4m7cuUK/Pz84OzsrNLu7++vnK5L9+7dg729PRwdHeHp6YnPP/8cL168MGpM+mTsbXn69CkAwM3NTW3avHnzYG9vD5lMhgYNGuDEiRN6jUXXDJXb69evIycnBw0aNFBpt7GxQZ06dVTWc+XKFUilUtSqVUuvMembtrm9cuUK6tatCwsL1V8B/v7+yMzMxK1bt/Kd98CBA8jIyMDgwYPznF7c99vC5rY4HXONud8CReN4q00ONc1fcTymAobJbX6Kwr5ZEEPm1hyOqSy+TFxMTAy8vLzU2hVtT5480dm6/Pz88Pnnn2P37t3Yvn07GjdujC+//BL9+/c3Wkz6Zsxtyc7OxldffYVy5cqhcePGynYLCwu8//77CAsLw5EjR7Bs2TLExcWhc+fOOHz4sN7i0TVD5TYmJkZlua+v69X1xMTEwNPTExKJRK8x6Zu2udVm/l27dsHW1ha9e/dWaed+W/j5i9sx15j7bVE53mqTA03nLY7HVMAwuc1LUdk3C2Ko3JrLMdVKr0snFUIIZGVladTXxsYGFhYWyMjIgFQqVZsuk8kAABkZGTqLb9OmTSqvhwwZguDgYGzcuBE//vgjmjZtqlynoWIqDFPP7+vGjRuHGzdu4LvvvoO1tbWyvWzZsmoj7gwZMgTVq1fHpEmT0L17d73FlB9Tzq1iOfmt69X1mOK+a4zcvu38T548QUREBD744AM4ODioTON+C+V0Tec352Ouqef2deZ0vC2INjnQdF5zP6a+LUPkNi9FZd8siKFyay7HVJ75MqCffvoJtra2Gv27cOECAMDW1jbPX3CZmZnK6fo0adIkAMCZM2eUbcaOKT/mlN+wsDBs3LgRc+fORefOnd/Y38XFBcOHD8fdu3cRHR2tl5gKYsq5VSwnv3W9uh5T3HeNkdu3nX/37t2Qy+X5XnL4uuK432o7v7kcc80pt+Z2vC2INjnUdF5zP6a+LUPk9nVFad8siDFyq2CKx1Se+TKgypUrY8uWLRr1rVq1KoCXp0AfPHigNl1xWYC3t7fuAsyDj48PACAxMVHZZuyY8mMu+d26dSs+++wzjB49GtOnT9d4vlffC19fX53HVRBTzq3iMgHFcl9f16vr8fLywpkzZyCXy1WuHzfmvmuM3Hp5eeWbr4Lm37lzJ9zd3dG+fXuN4gWK3377trlVMJdjrrnk1hyPtwXRJoea5s/cj6lvyxC5fVVR2zcLYujcvsoUj6ksvgzIw8MDAQEBhZqnTp06OHfuHJKSklRuDLx06ZJyuj7du3cPAODu7m4yMeXHHPJ7+PBhBAUFoVevXli9enWh5s3rvTAUU85tzZo1YWVlhV9//RUDBw5UtmdnZ+Pq1avo1auXSkxff/01/vjjD7zzzjt6i6kwjJHbOnXqIDIyUu0PpkuXLkEmkyn/WH7Vn3/+iaioKIwfPx5WVpr/6ihu++3b5PZV5nLMNYfcmuvxtiDa5FDT/Jn7MfVtGSK3CkVx3yyIIXP7OpM8pup1LEXS2sWLF9WeRZCZmSkqVqwo6tevr9L3yZMn4ubNmyI7OzvPZb1puO7MzEyVNrlcLvr16ycAiMuXL79VTKbOUPkVQojz588LmUwmWrVqpZbrV8XGxqq1PXr0SDg7O4vq1atrslkmwZC57dChg/D09BTPnj1Ttn399dcCgDh69Kiy7eHDh/k+k6ZUqVL5rt/UaJvbPXv2qD03JS4uTpQsWVL07t07z3UqHqR66dKlPKdzv31J09wWx2OuIffbonq81TSH2uavuB1ThTBcbovqvlkQQ+TWnI6pLL7MQN++fYWVlZX49NNPxfr160WTJk2EpaWlOHfunEq/YcOG5fl8grlz54q5c+eKESNGCADigw8+ULYpREREiFKlSokJEyaI1atXi8WLF4smTZoIAGLEiBFvHZM5MER+o6OjhZOTk7C1tRWrV69We/r6q89ICQgIEM2aNROhoaFiw4YNYtq0acLV1VVYW1uLM2fO6DUXumaI3AohxG+//SakUqmoU6eOWLt2rZg+fbqQyWSidevWQi6Xq/QNCQkRAMTIkSPFxo0bRZcuXQQAsW3bNr3kQF+0yW1OTo5o3LixsLOzE6GhoWL16tWiRo0aws7OTty4cUNtXXK5XJQtW1ZUrlw533i4376kaW6L6zHXELkt6sdbTXKo7ee+OB5ThdB/bov6vlkQfefWnI6pLL7MQEZGhggJCRFeXl5CKpWK+vXri+PHj6v1y+8PWAD5/lO4d++e6Nu3r/D19RUymUyUKFFC1KtXT6xZs0btQFuYmMyBIfKrOHOT379Zs2Yp++7evVs0b95cuLu7CysrK+Hm5iZ69OghfvnlF32lQG8MkVuFH374QTRp0kTIZDLh5uYmPvzwQ5VvbRVyc3PF/Pnzha+vr7CxsRHVq1c3yz8StM1tYmKiCAoKEq6ursLW1lY0b94837Na58+fFwDE7Nmz842H++1/NMltcT3mGiK3Rf14q0kOdfG5L27HVCH0n9uivm8WRN+5NadjqkQIId50aSIRERERERFph0PNExERERERGQCLLyIiIiIiIgNg8UVERERERGQALL6IiIiIiIgMgMUXERERERGRAbD4IiIiIiIiMgAWX0RERERERAbA4ouIiIiIiMgAWHwREREREREZAIsvIiIyGaGhoZBIJMYO462Ze/xERKRfLL6IiAgAEBkZCYlEkue/ixcvGjs8nVqzZg22bt1q7DBMzpMnTxAaGoqrV68aOxQioiLJytgBEBGRaRk7diwaN26s0laxYkWDrHv69OmYMmWK3tezZs0auLm5ISAgQO/rMidPnjzB7Nmz4evrizp16hg7HCKiIofFFxERqWjatCn69+9vlHVbWVnByoq/mnQlNzcXOTk5kEqljIOIyATwskMiIlKTlpaGnJycQs/n6+uLDh06IDIyEg0aNICtrS1q1qyJc+fOAQDCw8PxzjvvQCaToV69evjtt99U5s/rninFMn/88Uf4+/tDJpOhQoUK2L59+xvnBYCtW7dCIpEgOjpaubw///wT58+fV15W6evrq+yflZWF2bNno1KlSpBKpShdujQmTJiA58+fFzofCuvWrUPNmjUhk8lQqlQpjBo1ComJiWr9Vq9ejQoVKsDW1hb+/v64cOECWrZsiZYtW75xHdHR0ZBIJFiwYAFWrVqljP/nn38GAMTExCAoKAilSpWCVCpFtWrVsHbtWuX8kZGRaNiwIQBg+PDhytyEhoYCQL5xBAQEqOSvoDgU78X58+cxceJEuLu7w87ODj179kRcXJzmCSUiMlP8epGIiFSMHDkSaWlpsLS0RNOmTbFo0SL4+/trPP+9e/cwYMAABAcHY8iQIQgLC0O3bt2wYcMGTJkyBWPGjIGFhQW+/PJL9O3bF3fu3IGlpWWBy7x//z769OmDwMBADBs2DJs3b0ZAQADq16+PGjVqFGr7vvrqK4wfPx729vb4/PPPAQD29vYAACEEevbsifPnz2PkyJGoXr06bt68iTVr1uDPP//EyZMnCz2gxhdffIEZM2agdevWGDVqFO7evYvVq1fj0qVLuHTpkvJs0Nq1azFu3Dg0bdoUEyZMwIMHD9CjRw+4uLigTJkyGq9vx44dSE9PR3BwMBwcHODl5YXY2Fg0btwYubm5GDNmDDw8PHD27FmMGTMGCQkJmD59OqpVq4Y5c+Zg5syZCA4ORrNmzQAA77zzTqG2t6A4FAXwJ598AhcXF8yaNQvR0dH46quvMG7cOOzdu/et1kVEZDYEERGREOKnn34SvXv3Fps2bRKHDx8W8+fPF66urkIqlYrLly9rtIxy5coJAOLChQvKtpMnTwoAQiqVinv37inb169fLwCI06dPK9tmzZolXv/VpFjm+fPnlW2xsbFCKpWKSZMmFTivEEJs2bJFABD3799XttWoUUO0aNFCre+uXbuERCIRkZGRKu07d+4UAMTJkycL3P7XY4iNjRU2NjaiTZs2IicnRy2mlStXCiGEyMrKEq6urqJu3boiOztb2W/r1q0CQJ6xvu7+/fsCgLCzsxNPnjxRmTZy5Ejh6ekpYmNjVdqDgoKEra2tSEpKEkII8csvvwgAYsuWLWrLb9GiRZ5xDBs2TJQrV06jOBTb3aZNGyGXy5XtEyZMEJaWliI5OfmN20lEZM542SEREQEA3nvvPezfvx8jRoxAt27dMGXKFFy8eBEWFhaYOnWqxsupXLmy8qwJADRq1AjAy8vWypcvr9Z+7949jZbZvHlz5Wt3d3dUqVJFo3kLY9++fahcuTJq1KiB+Ph45b8WLVpAIpEgIiKiUMs7c+YMsrOz8fHHH6uc3RsyZAg8PT1x7NgxAMCvv/6KhIQEjBw5EtbW1sp+gwYNgrOzc6HW2aNHD3h5eSlfCyGwf/9+dO7cGRKJRGW73n//fWRkZODSpUuFWsfbxPGqwMBAlTOIzZo1Q25uLh48eKDzOIiITAkvOyQionxVrFgR3bt3x4EDB/DixQtYW1vj2bNnyMjIUPaxsbGBi4uL8nXZsmVVluHk5AQA8PHxybM9KSnpjXG8vkwAcHZ21mjewrh9+zb++usvuLu75zk9Nja2UMtTFBNVqlRRabe0tESlSpWUl+Ep+r0+qqSVlZXK/VQAEBcXh9zcXOVre3t75WWTAODn56fWPykpCZs3b8bmzZvzjLOw26WJ1+N41evvp6LA1PX7SURkalh8ERFRgXx8fPDixQukpqbCxcUFH3/8MbZt26ac3qJFC0RGRipf53f/Vn7tQog3xqDJvPndi/VqofImcrkc1atXx/Lly/Oc7u3trfGy9KVhw4YqZ4hmzZqlHBQDAGxtbVX6y+VyAMCAAQMwYsSIPJepyX1zEokkz/cqv/y+HsertNkXiIjMGYsvIiIq0L1792BjYwNHR0cAwOTJkzF48GDl9MJeFqcvijiSk5NRsmRJZXtel7LlV6j5+fnht99+Q5s2bQo9sEZeypUrBwD466+/ULlyZWW7XC7HnTt3ULduXZV+f//9N9q1a6fsl5OTg+joaJVBL3bt2qVy5rFChQoFxuDu7g4HBwfk5OSgbdu2BfYtaJudnZ3zvMyTlwoSEWmO93wREREA5DnUd1RUFI4cOYK2bdsqn79VvXp1tG3bVvmvfv36hg41T4rL3C5cuKBsS09PVzlLp2BnZ5fnJW79+vXDv//+qzIEu0JWVhZSU1MLFVO7du1gY2ODFStWKM9AAS8LqH///RddunQBADRo0ACurq7YuHEjXrx4odLv9TibNGmikv83FV+Wlpbo06cPwsPDERUVpTb91ffdzs4OQN6X//n5+eHWrVsq/aOiovDTTz8VuH4iIvoPz3wRERGAl4WHra0t3nvvPXh4eODGjRvYsGEDbG1tsWjRImOH90bvv/8+ypYti8DAQISEhMDS0hKbN2+Gu7s7/vnnH5W+DRo0wJo1azB79mxUrlwZ9vb26Nq1KwYPHoz9+/dj7NixOH/+PJo2bQohBP766y/s27cP3377rUbP3FJwc3PDjBkzMGPGDLz//vvo0aMH7t27h1WrVqF27doICgoC8PK+udDQUIwfPx6tW7fGBx98gAcPHmDLli3w8/PT+izcggULEBkZiXfffRcjR45EjRo1kJSUhKtXr+LQoUPIzMwE8LLAcnZ2xtq1a2Fvbw8HBwfUrFkTNWvWxIgRI7B06VK0b98egYGBiI2Nxbp161CjRg2kpKRoFR8RUXHBM19ERATg5eh08fHxWLp0KcaMGYM9e/agZ8+e+PXXXwv9LC1jsLa2xqFDh+Dn54cZM2ZgxYoVCAoKwrhx49T6zpw5E127dsXSpUsxcOBAjB8/HgBgYWGBgwcPIiwsDDdu3EBISAhmzZqFixcvYsyYMW/1zKvp06dj7dq1iImJwaRJk7Br1y4EBATg7Nmzymd8AcC4ceOwYsUKPHz4ECEhIfjhhx9w9OhRlCxZEjKZ7O0TA8DDwwOXLl1CUFAQwsPDMW7cOCxbtgxPnz7FkiVLlP2sra2xY8cOyGQyjB07FgMGDMD+/fsBANWqVcP27dvx7NkzTJw4EUeOHMGOHTtQr149rWIjIipOJIJ3txIREZkkuVwOd3d39OrVCxs3bjR2OEREpCWe+SIiIjIBmZmZaqP9bd++HYmJiYW61JGIiEwXz3wRERGZgMjISEyYMAF9+/aFq6srfv/9d2zatAnVqlXDb7/9BhsbG2OHSEREWuKAG0RERCbA19cXPj4+WLFiBRITE+Hi4oKhQ4diwYIFLLyIiIoInvkiIiIiIiIyAN7zRUREREREZAAsvoiIiIiIiAyAxRcREREREZEBsPgiIiIiIiIyABZfREREREREBsDii4iIiIiIyABYfBERERERERkAiy8iIiIiIiIDYPFFRERERERkAP8HQhNu0bpAG6cAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " GBM (no jumps): P(5-min return <= -10%) = 0.000e+00\n", + " Merton jumps: P(5-min return <= -10%) = 2.500e-04\n" + ] + } + ], + "source": [ + "# Compare terminal 5-min returns: pure GBM vs jump-diffusion.\n", + "T = 5 / config.TRADING_MINUTES_PER_YEAR\n", + "n_paths, n_steps = 40_000, 300\n", + "ret = {}\n", + "ret[\"GBM (no jumps)\"] = np.log(\n", + " processes.geometric_brownian_motion(S0, T, n_steps, n_paths, 0.0, sigma_ann, rng=RNG)[1][:,-1] / S0)\n", + "ret[\"Merton jumps\"] = np.log(\n", + " processes.merton_jump_diffusion(S0, T, n_steps, n_paths, mu=0.0, sigma=sigma_ann,\n", + " jump_intensity=10.0, jump_mean=-0.20, jump_sigma=0.15, rng=RNG)[1][:,-1] / S0)\n", + "\n", + "plt.figure(figsize=(9, 4.4))\n", + "for (name, r), col in zip(ret.items(), [\"C0\", \"C3\"]):\n", + " plt.hist(r, bins=400, density=True, alpha=0.5, color=col, label=name, range=(-0.15, 0.05))\n", + "plt.axvline(config.LOG_BARRIER, color=\"k\", ls=\"--\", lw=1.4, label=\"10% drop barrier\")\n", + "plt.xlabel(\"5-minute log-return\"); plt.ylabel(\"density\")\n", + "plt.yscale(\"log\")\n", + "plt.title(\"Jumps put real mass on the -10% tail that GBM leaves empty\")\n", + "plt.legend(); plt.savefig(_FIG / \"gbm_vs_jump_returns.png\", dpi=150, bbox_inches=\"tight\"); plt.show()\n", + "\n", + "for name, r in ret.items():\n", + " print(f\"{name:>18}: P(5-min return <= -10%) = {(r <= config.LOG_BARRIER).mean():.3e}\")" + ] + }, + { + "cell_type": "markdown", + "id": "36280d7d", + "metadata": {}, + "source": [ + "## 6. The event-driven upgrade\n", + "\n", + "The adaptive sampler is *time-based*: it polls faster as the price nears the\n", + "barrier. But a jump can blow through $-10\\%$ between *any* two samples, however\n", + "close. The fully honest answer is therefore to combine the two ideas:\n", + "\n", + "> **Hybrid sampler.** Run the adaptive time-based poll for the diffusion. In\n", + "> parallel, subscribe to a **microstructure signal** — order-book imbalance,\n", + "> trade-flow acceleration, realised-volatility spike — and the moment that\n", + "> signal fires, **switch to event-driven / interrupt-driven** sampling,\n", + "> effectively moving to continuous monitoring until calm returns.\n", + "\n", + "This mirrors how real trading systems are built: a slow poll handles the boring\n", + "$99.9\\%$ of the time, and a fast event loop handles the rare, violent moments.\n", + "\n", + "> **Quant's note.** Under a jump-diffusion the probability of a $-10\\%$ move\n", + "> over a horizon $T$ is, to first order in $\\lambda T$,\n", + "> $P \\approx \\lambda T \\cdot P(\\log J \\le B)$. The sampling problem stops being\n", + "> \"did diffusion wander to the barrier\" and becomes \"did a jump arrive and was\n", + "> it large enough\" — a Poisson detection problem, best solved event-driven." + ] + }, + { + "cell_type": "markdown", + "id": "f6a7b0bc", + "metadata": {}, + "source": [ + "## 7. Reality check on live data\n", + "\n", + "Scan one month of **SPY** 5-minute bars. The largest 5-minute move, and the\n", + "closest the adaptive barrier ever came to being triggered, make the point that\n", + "$-10\\%$-in-$5$-minutes simply does not occur in ordinary history." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "fe7e9476", + "metadata": { + "execution": { + "iopub.execute_input": "2026-07-31T19:07:15.076626Z", + "iopub.status.busy": "2026-07-31T19:07:15.076482Z", + "iopub.status.idle": "2026-07-31T19:07:15.083797Z", + "shell.execute_reply": "2026-07-31T19:07:15.083266Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Optional market-data scan unavailable; continuing without it.\n" + ] + } + ], + "source": [ + "try:\n", + " spy = data.fetch_intraday(\"SPY\", interval=\"5m\", range_=\"1mo\")\n", + " have = True\n", + "except Exception as exc:\n", + " print(\"Optional market-data scan unavailable; continuing without it.\")\n", + " have = False\n", + "\n", + "if have:\n", + " r5 = data.log_returns(spy[\"close\"])\n", + " worst = float(r5.min())\n", + " ann_vol = float(r5.std() * np.sqrt(252 * 78))\n", + " print(f\"SPY, 1 month of 5-min bars ({len(spy)} bars)\")\n", + " print(f\" worst 5-min log-return : {worst:+.4f} ({(np.exp(worst)-1)*100:+.2f}%)\")\n", + " print(f\" implied annual vol : {ann_vol:.3f}\")\n", + " print(f\" 10% barrier in log-ret : {config.LOG_BARRIER:.4f}\")\n", + " print(f\" how many 5-min bars <= -10%: {(r5 <= config.LOG_BARRIER).sum()}\")\n", + " print(\" -> exactly as GBM predicts: zero such events in normal history.\\n\")\n", + "\n", + " # How many adaptive samples would we have taken across the whole month,\n", + " # had we been monitoring each bar's price vs a -10% barrier from session open?\n", + " # (Per-bar distance D ~ |log_barrier| - |5min move|, which is huge -> very few samples.)\n", + " sigma_min = config.horizon_vol(ann_vol, 1.0)\n", + " typical_D = worst - config.LOG_BARRIER # closest the price came (log units)\n", + " dt_typical = barriers.max_safe_dt(typical_D, sigma_min, eps)\n", + " print(f\" closest approach to barrier: D = {typical_D:.4f}\")\n", + " print(f\" => proxy interval there : {dt_typical:.1f} minutes \"\n", + " f\"(vs 5-minute bars!)\")" + ] + }, + { + "cell_type": "markdown", + "id": "9805bbd4", + "metadata": {}, + "source": [ + "## 8. The complete answer\n", + "\n", + "Putting all five notebooks together:\n", + "\n", + "**1. The model.** Under GBM, $dS=\\mu S\\,dt+\\sigma S\\,dW$, the relative log-price\n", + "$X_t=\\log(S_t/S_0)$ is arithmetic Brownian motion with drift. A $10\\%$ drop is\n", + "hitting $B=\\log 0.9$.\n", + "\n", + "**2. The probability.** The event is a first-passage event. With zero drift,\n", + "$P(\\tau_B\\le T)=2\\Phi(B/(\\sigma\\sqrt T))$. At $30\\%$ annual volatility, a\n", + "$10\\%$ five-minute drop is roughly a $49\\sigma$ diffusion event, so GBM assigns\n", + "it probability below ordinary floating-point resolution. Real extreme moves\n", + "require richer models, including jumps and market microstructure.\n", + "\n", + "**3. The sampling rate.** Conditional on two observed endpoints, the Brownian\n", + "bridge gives the exact hidden-crossing probability\n", + "$\\exp(-2(x_0-B)(x_T-B)/(\\sigma^2\\Delta t))$. Replacing the unknown future\n", + "endpoint distance by the current distance yields the local heuristic\n", + "$\\Delta t\\propto D^2$: poll sparsely far from the barrier and densely nearby.\n", + "This can reduce compute dramatically in diffusion simulations, but it is not an\n", + "unconditional miss guarantee and cannot anticipate jumps. A production design\n", + "would combine state-dependent polling with event-driven market-data triggers." + ] + }, + { + "cell_type": "markdown", + "id": "539a3076", + "metadata": {}, + "source": [ + "## 9. Summary of the series\n", + "\n", + "| Notebook | What you gained |\n", + "|----------|-----------------|\n", + "| 01 | Log-returns, Brownian motion, the $\\min(s,t)$ kernel, the $\\sqrt T$ law |\n", + "| 02 | GBM, Itô's lemma, the $-\\tfrac12\\sigma^2$ correction, exact solution |\n", + "| 03 | First-passage times, reflection principle, the \"$49\\sigma$\" reality check |\n", + "| 04 | Brownian bridges, conditioning-as-projection, the miss formula |\n", + "| 05 | The adaptive detector, jumps, the event-driven upgrade, the full answer |\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.14.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..489860d --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,39 @@ +[build-system] +requires = ["setuptools>=69"] +build-backend = "setuptools.build_meta" + +[project] +name = "adaptive-barrier-monitor" +version = "0.4.7" +description = "Brownian first-passage models and a state-dependent barrier-monitoring demo" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "numpy>=1.26,<3", + "scipy>=1.12,<2", +] + +[project.optional-dependencies] +notebooks = [ + "matplotlib>=3.8,<4", + "pandas>=2.2,<4", + "sympy>=1.12,<2", + "requests>=2.31,<3", + "jupyterlab>=4,<5", +] +webapp = [ + "fastapi>=0.110,<1", + "uvicorn[standard]>=0.27,<1", + "pydantic>=2,<3", +] +dev = [ + "pytest>=8,<9", + "httpx>=0.27,<1", +] + +[tool.setuptools.packages.find] +where = ["src"] + +[tool.pytest.ini_options] +addopts = "-q" +testpaths = ["tests"] diff --git a/requirements-dev.txt b/requirements-dev.txt new file mode 100644 index 0000000..05ae889 --- /dev/null +++ b/requirements-dev.txt @@ -0,0 +1,2 @@ +# Tests plus all project extras +-e .[notebooks,webapp,dev] diff --git a/requirements-webapp.txt b/requirements-webapp.txt new file mode 100644 index 0000000..ab210fa --- /dev/null +++ b/requirements-webapp.txt @@ -0,0 +1,2 @@ +# Webapp runtime +-e .[webapp] diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000..bb70c79 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,2 @@ +# Notebook environment +-e .[notebooks] diff --git a/src/adaptive_barrier/__init__.py b/src/adaptive_barrier/__init__.py new file mode 100644 index 0000000..b5e47ed --- /dev/null +++ b/src/adaptive_barrier/__init__.py @@ -0,0 +1,37 @@ +"""Public API for the Adaptive Barrier Monitor engine.""" + +__version__ = "0.4.7" + +from adaptive_barrier.engine import ( + DROP_FRACTION, + LOG_BARRIER, + LOG_UPPER_BARRIER, + RISE_FRACTION, + TRADING_DAYS_PER_YEAR, + TRADING_MINUTES_PER_YEAR, + TYPICAL_ANNUAL_VOL, + WINDOW_MINUTES, + WINDOW_YEARS, + adaptive_schedule, + barrier_miss_prob, + brownian_bridge, + brownian_motion, + brownian_motion_cholesky, + detect_barrier_event, + estimate_bridge_breach_prob, + estimate_first_passage_prob, + estimate_first_passage_prob_bb, + first_passage_cdf, + first_passage_cdf_zero_drift, + fixed_cadence_indices, + fixed_uniform_indices, + geometric_brownian_motion, + horizon_vol, + max_safe_dt, + merton_jump_diffusion, + minutes_to_years, + run_monte_carlo_simulation, + time_grid, +) + +__all__ = [name for name in globals() if not name.startswith("_")] diff --git a/src/adaptive_barrier/engine.py b/src/adaptive_barrier/engine.py new file mode 100644 index 0000000..19eb9a2 --- /dev/null +++ b/src/adaptive_barrier/engine.py @@ -0,0 +1,781 @@ +"""Core stochastic-process and barrier-monitoring utilities. + +The closed-form Brownian-motion results are exact under their stated diffusion +assumptions. The adaptive schedule is deliberately described as a *local +heuristic*: before the next observation is known, it substitutes the current +barrier distance for both Brownian-bridge endpoint distances. Consequently, +``eps`` is a design parameter, not an unconditional real-time miss guarantee, +and it does not control jump risk. +""" + +from __future__ import annotations + +from typing import Optional + +import numpy as np +from scipy.stats import norm + +# --------------------------------------------------------------------------- +# Trading-time and volatility conventions +# --------------------------------------------------------------------------- + +TRADING_DAYS_PER_YEAR = 252 +TRADING_HOURS_PER_DAY = 6.5 +TRADING_MINUTES_PER_HOUR = 60 +TRADING_MINUTES_PER_DAY = TRADING_HOURS_PER_DAY * TRADING_MINUTES_PER_HOUR +TRADING_MINUTES_PER_YEAR = TRADING_DAYS_PER_YEAR * TRADING_MINUTES_PER_DAY + +DROP_FRACTION = 0.10 +RISE_FRACTION = 0.10 +WINDOW_MINUTES = 5 +WINDOW_YEARS = WINDOW_MINUTES / TRADING_MINUTES_PER_YEAR +LOG_BARRIER = float(np.log1p(-DROP_FRACTION)) +LOG_UPPER_BARRIER = float(np.log1p(RISE_FRACTION)) +TYPICAL_ANNUAL_VOL = 0.30 + + +def _require_positive(name: str, value: float) -> None: + if not np.isfinite(value) or value <= 0: + raise ValueError(f"{name} must be finite and positive") + + +def _require_positive_int(name: str, value: int) -> None: + if isinstance(value, bool) or int(value) != value or value <= 0: + raise ValueError(f"{name} must be a positive integer") + + +def minutes_to_years(minutes: float | np.ndarray) -> float | np.ndarray: + """Convert trading minutes to years.""" + values = np.asarray(minutes, dtype=float) + if np.any(~np.isfinite(values)) or np.any(values < 0): + raise ValueError("minutes must be finite and non-negative") + result = values / TRADING_MINUTES_PER_YEAR + return float(result) if result.ndim == 0 else result + + +def horizon_vol(sigma_annual: float, minutes: float | np.ndarray) -> float | np.ndarray: + """Return the diffusion standard deviation over ``minutes`` of trading time.""" + _require_positive("sigma_annual", sigma_annual) + result = sigma_annual * np.sqrt(minutes_to_years(minutes)) + return float(result) if np.ndim(result) == 0 else result + + +# --------------------------------------------------------------------------- +# Process samplers +# --------------------------------------------------------------------------- + + +def _as_rng(rng: Optional[np.random.Generator] = None) -> np.random.Generator: + return np.random.default_rng() if rng is None else rng + + +def time_grid(T: float, n_steps: int) -> np.ndarray: + """Uniform grid from 0 to ``T`` with ``n_steps + 1`` points.""" + _require_positive("T", T) + _require_positive_int("n_steps", n_steps) + return np.linspace(0.0, T, int(n_steps) + 1) + + +def brownian_motion( + T: float, + n_steps: int, + n_paths: int = 1, + drift: float = 0.0, + sigma: float = 1.0, + rng: Optional[np.random.Generator] = None, +) -> tuple[np.ndarray, np.ndarray]: + """Sample ``dX = drift dt + sigma dW`` using independent Gaussian increments.""" + _require_positive("sigma", sigma) + _require_positive_int("n_paths", n_paths) + if not np.isfinite(drift): + raise ValueError("drift must be finite") + rng = _as_rng(rng) + t = time_grid(T, n_steps) + dt = T / n_steps + increments = rng.normal( + loc=drift * dt, + scale=sigma * np.sqrt(dt), + size=(int(n_paths), int(n_steps)), + ) + paths = np.zeros((int(n_paths), int(n_steps) + 1)) + paths[:, 1:] = np.cumsum(increments, axis=1) + return t, paths + + +def brownian_motion_cholesky( + T: float, + n_steps: int, + n_paths: int = 1, + rng: Optional[np.random.Generator] = None, +) -> tuple[np.ndarray, np.ndarray]: + """Sample standard Brownian motion from the ``min(s,t)`` covariance matrix.""" + _require_positive_int("n_paths", n_paths) + rng = _as_rng(rng) + t = time_grid(T, n_steps) + inner = t[1:] + covariance = np.minimum(inner[:, None], inner[None, :]) + factor = np.linalg.cholesky(covariance) + normals = rng.standard_normal(size=(int(n_paths), int(n_steps))) + paths = np.zeros((int(n_paths), int(n_steps) + 1)) + paths[:, 1:] = normals @ factor.T + return t, paths + + +def geometric_brownian_motion( + S0: float, + T: float, + n_steps: int, + n_paths: int = 1, + mu: float = 0.0, + sigma: float = 1.0, + rng: Optional[np.random.Generator] = None, +) -> tuple[np.ndarray, np.ndarray]: + """Sample GBM exactly in log space, without Euler discretisation error.""" + _require_positive("S0", S0) + if not np.isfinite(mu): + raise ValueError("mu must be finite") + _require_positive("sigma", sigma) + t, log_returns = brownian_motion( + T, + n_steps, + n_paths, + drift=mu - 0.5 * sigma**2, + sigma=sigma, + rng=rng, + ) + return t, S0 * np.exp(log_returns) + + +def brownian_bridge( + T: float, + n_steps: int, + n_paths: int = 1, + start: float = 0.0, + end: float = 0.0, + sigma: float = 1.0, + rng: Optional[np.random.Generator] = None, +) -> tuple[np.ndarray, np.ndarray]: + """Sample Brownian motion conditioned on its two endpoints.""" + if not np.isfinite(start) or not np.isfinite(end): + raise ValueError("bridge endpoints must be finite") + t, motion = brownian_motion(T, n_steps, n_paths, sigma=sigma, rng=rng) + linear = start + (end - start) * (t / T) + bridge = motion - np.outer(motion[:, -1], t / T) + linear[None, :] + return t, bridge + + +def merton_jump_diffusion( + S0: float, + T: float, + n_steps: int, + n_paths: int = 1, + mu: float = 0.0, + sigma: float = 0.2, + jump_intensity: float = 0.0, + jump_mean: float = -0.10, + jump_sigma: float = 0.15, + rng: Optional[np.random.Generator] = None, +) -> tuple[np.ndarray, np.ndarray]: + """Sample a Merton jump diffusion with annualised Poisson intensity.""" + _require_positive("S0", S0) + _require_positive("sigma", sigma) + _require_positive_int("n_paths", n_paths) + if not np.isfinite(mu): + raise ValueError("mu must be finite") + if not np.isfinite(jump_intensity) or jump_intensity < 0: + raise ValueError("jump_intensity must be finite and non-negative") + if not np.isfinite(jump_mean): + raise ValueError("jump_mean must be finite") + if not np.isfinite(jump_sigma) or jump_sigma < 0: + raise ValueError("jump_sigma must be finite and non-negative") + + rng = _as_rng(rng) + dt = T / n_steps + compensator = np.exp(jump_mean + 0.5 * jump_sigma**2) - 1.0 + log_drift = mu - 0.5 * sigma**2 - jump_intensity * compensator + t, diffusion = brownian_motion( + T, + n_steps, + n_paths, + drift=log_drift, + sigma=sigma, + rng=rng, + ) + + counts = rng.poisson(jump_intensity * dt, size=(int(n_paths), int(n_steps))) + jump_log = np.zeros((int(n_paths), int(n_steps))) + max_count = int(counts.max()) if counts.size else 0 + if max_count: + log_jumps = rng.normal( + jump_mean, + jump_sigma, + size=(int(n_paths), int(n_steps), max_count), + ) + mask = np.arange(max_count) < counts[:, :, None] + jump_log = (log_jumps * mask).sum(axis=2) + + cumulative_jumps = np.zeros((int(n_paths), int(n_steps) + 1)) + cumulative_jumps[:, 1:] = np.cumsum(jump_log, axis=1) + return t, S0 * np.exp(diffusion + cumulative_jumps) + + +# --------------------------------------------------------------------------- +# Exact diffusion barrier formulae +# --------------------------------------------------------------------------- + + +def first_passage_cdf_zero_drift(B: float, T: float, sigma: float) -> float: + """Return ``P(inf_{s<=T} X_s <= B)`` for zero-drift BM started at zero. + + ``B`` must be negative. For extremely remote barriers the floating-point + result can underflow to zero; this correctly means "below machine precision". + """ + if not np.isfinite(B) or B >= 0: + raise ValueError("B must be a finite negative lower barrier") + _require_positive("T", T) + _require_positive("sigma", sigma) + return float(2.0 * norm.cdf(B / (sigma * np.sqrt(T)))) + + +def first_passage_cdf(B: float, T: float, nu: float, sigma: float) -> float: + """Bachelier--Lévy lower-barrier CDF for drifted BM started at zero.""" + if not np.isfinite(B) or B >= 0: + raise ValueError("B must be a finite negative lower barrier") + _require_positive("T", T) + _require_positive("sigma", sigma) + if not np.isfinite(nu): + raise ValueError("nu must be finite") + scale = sigma * np.sqrt(T) + probability = norm.cdf((B - nu * T) / scale) + np.exp( + 2.0 * nu * B / sigma**2 + ) * norm.cdf((B + nu * T) / scale) + return float(np.clip(probability, 0.0, 1.0)) + + +def barrier_miss_prob( + x0: float, + xT: float, + B: float, + sigma: float, + dt: float, +) -> float: + """Conditional Brownian-bridge probability of crossing a lower barrier.""" + for name, value in (("x0", x0), ("xT", xT), ("B", B)): + if not np.isfinite(value): + raise ValueError(f"{name} must be finite") + _require_positive("sigma", sigma) + _require_positive("dt", dt) + if x0 <= B or xT <= B: + return 1.0 + exponent = -2.0 * (x0 - B) * (xT - B) / (sigma**2 * dt) + return float(np.exp(exponent)) + + +def max_safe_dt( + D: float | np.ndarray, + sigma: float, + epsilon: float, +) -> float | np.ndarray: + """Invert the symmetric-endpoint bridge formula for ``dt``. + + This is exact *conditional on both endpoint distances being ``D``*. In a + live scheduler the future endpoint is unknown, so using the current distance + for both endpoints is a local design approximation rather than a guarantee. + """ + _require_positive("sigma", sigma) + if not np.isfinite(epsilon) or not 0.0 < epsilon < 1.0: + raise ValueError("epsilon must lie strictly between 0 and 1") + distances = np.asarray(D, dtype=float) + if np.any(~np.isfinite(distances)) or np.any(distances < 0): + raise ValueError("D must be finite and non-negative") + result = 2.0 * distances**2 / (sigma**2 * np.log(1.0 / epsilon)) + return float(result) if result.ndim == 0 else result + + +# --------------------------------------------------------------------------- +# Monte Carlo estimators used by the notebooks +# --------------------------------------------------------------------------- + + +def estimate_first_passage_prob( + B: float, + T: float, + nu: float, + sigma: float, + n_paths: int, + n_steps: int, + rng: Optional[np.random.Generator] = None, +) -> float: + """Naive grid estimator; it has downward discretisation bias.""" + _, paths = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng) + return float(np.mean(np.any(paths <= B, axis=1))) + + +def estimate_first_passage_prob_bb( + B: float, + T: float, + nu: float, + sigma: float, + n_paths: int, + n_steps: int, + rng: Optional[np.random.Generator] = None, +) -> float: + """Brownian-bridge-corrected first-passage Monte Carlo estimator.""" + rng = _as_rng(rng) + _, paths = brownian_motion(T, n_steps, n_paths, drift=nu, sigma=sigma, rng=rng) + dt = T / n_steps + x0, x1 = paths[:, :-1], paths[:, 1:] + both_above = (x0 > B) & (x1 > B) + probabilities = np.where( + both_above, + np.exp(-2.0 * (x0 - B) * (x1 - B) / (sigma**2 * dt)), + 1.0, + ) + uniforms = rng.uniform(size=probabilities.shape) + return float(np.mean(np.any(uniforms < probabilities, axis=1))) + + +def estimate_bridge_breach_prob( + x0: float, + xT: float, + B: float, + sigma: float, + dt: float, + n_paths: int, + n_inner: int, + rng: Optional[np.random.Generator] = None, +) -> float: + """Monte Carlo check of :func:`barrier_miss_prob`.""" + _, paths = brownian_bridge( + dt, + n_inner, + n_paths, + start=x0, + end=xT, + sigma=sigma, + rng=rng, + ) + return float(np.mean(np.any(paths <= B, axis=1))) + + +# --------------------------------------------------------------------------- +# Adaptive schedule and detector evaluation +# --------------------------------------------------------------------------- + + +def adaptive_schedule( + t: np.ndarray, + X: np.ndarray, + B: float, + sigma: float, + eps: float, + dt_cap: Optional[float] = None, + B_upper: Optional[float] = None, +) -> np.ndarray: + """Choose sample indices from a pre-generated path using a local proxy. + + ``t`` and ``sigma`` must use matching units: when ``t`` is measured in + minutes, ``sigma`` must be the diffusion standard deviation per + ``sqrt(minute)``. At each observation, the current distance is substituted + for both bridge endpoint distances in :func:`max_safe_dt`. + """ + times = np.asarray(t, dtype=float).ravel() + values = np.asarray(X, dtype=float) + if values.ndim > 1: + if values.shape[0] != 1: + raise ValueError("X must be one-dimensional or contain one path") + values = values[0] + values = values.ravel() + if len(times) != len(values) or len(times) < 2: + raise ValueError("t and X must have the same length of at least two") + if np.any(~np.isfinite(times)) or np.any(np.diff(times) <= 0): + raise ValueError("t must be finite and strictly increasing") + if np.any(~np.isfinite(values)) or not np.isfinite(B): + raise ValueError("X and B must be finite") + _require_positive("sigma", sigma) + if not 0.0 < eps < 1.0: + raise ValueError("eps must lie strictly between 0 and 1") + if dt_cap is not None: + _require_positive("dt_cap", dt_cap) + if B_upper is not None and (not np.isfinite(B_upper) or B_upper <= B): + raise ValueError("B_upper must be finite and greater than B") + + indices = [0] + i = 0 + while i < len(times) - 1: + lower_distance = values[i] - B + distance = lower_distance + if B_upper is not None: + distance = min(lower_distance, B_upper - values[i]) + interval = max_safe_dt(max(float(distance), 1e-12), sigma, eps) + if dt_cap is not None: + interval = min(interval, dt_cap) + target = times[i] + interval + j = int(np.searchsorted(times, target, side="left")) + j = min(max(j, i + 1), len(times) - 1) + indices.append(j) + i = j + return np.asarray(indices, dtype=int) + + +def fixed_uniform_indices(n: int, k: int) -> np.ndarray: + """Return exactly ``k`` approximately uniform indices from ``0`` to ``n-1``.""" + _require_positive_int("n", n) + _require_positive_int("k", k) + if k > n: + raise ValueError("k cannot exceed n") + if k == 1: + return np.array([0], dtype=int) + return np.rint(np.linspace(0, n - 1, k)).astype(int) + + +def fixed_cadence_indices(t: np.ndarray, cadence: float) -> np.ndarray: + """Return grid indices for a fixed monitoring cadence. + + The first and final grid points are always included. Intermediate target + times are mapped to the first available grid point at or after each cadence + tick. If the requested cadence is finer than the simulation grid, the + resulting schedule is limited to one observation per grid point. + """ + times = np.asarray(t, dtype=float).ravel() + if times.size < 2: + raise ValueError("t must contain at least two points") + if np.any(~np.isfinite(times)) or np.any(np.diff(times) <= 0): + raise ValueError("t must be finite and strictly increasing") + _require_positive("cadence", cadence) + + targets = np.arange(times[0], times[-1] + cadence, cadence, dtype=float) + targets = targets[targets <= times[-1] + 1e-12] + indices = np.searchsorted(times, targets, side="left") + indices = np.clip(indices, 0, len(times) - 1) + indices = np.unique(indices.astype(int)) + if indices[0] != 0: + indices = np.insert(indices, 0, 0) + if indices[-1] != len(times) - 1: + indices = np.append(indices, len(times) - 1) + return indices + + +def detect_barrier_event( + sample_indices: np.ndarray, + values: np.ndarray, + breach_idx: Optional[int], + barrier: float, + direction: str, + max_lag_steps: Optional[int] = None, +) -> tuple[bool, Optional[int], Optional[int]]: + """Check whether a sampled point confirms a barrier event in time. + + Returns ``(detected, lag_steps, detection_index)``. A detection must still + lie beyond the barrier. When ``max_lag_steps`` is set, later observations + do not count as catching the original event. + """ + if breach_idx is None: + return False, None, None + indices = np.asarray(sample_indices, dtype=int).ravel() + path = np.asarray(values, dtype=float).ravel() + if direction not in {"down", "up"}: + raise ValueError("direction must be 'down' or 'up'") + if max_lag_steps is not None: + if isinstance(max_lag_steps, bool) or int(max_lag_steps) != max_lag_steps or max_lag_steps < 0: + raise ValueError("max_lag_steps must be a non-negative integer or None") + deadline = breach_idx + int(max_lag_steps) + else: + deadline = len(path) - 1 + + for sample_idx in indices: + if sample_idx < breach_idx: + continue + if sample_idx > deadline: + break + beyond = path[sample_idx] <= barrier if direction == "down" else path[sample_idx] >= barrier + if beyond: + return True, int(sample_idx - breach_idx), int(sample_idx) + return False, None, None + + +def run_monte_carlo_simulation( + S0: float = 100.0, + sigma_annual: float = 0.30, + mu_annual: float = 0.07, + window_minutes: float = 1950.0, + n_paths: int = 20, + n_steps: int = 500, + use_jumps: bool = False, + jump_intensity: float = 25.0, + jump_mean: float = -0.02, + jump_sigma: float = 0.05, + eps: float = 1e-3, + dt_cap_minutes: Optional[float] = None, + rng_seed: Optional[int] = None, + drop_fraction: float = DROP_FRACTION, + rise_fraction: float = RISE_FRACTION, + max_detection_lag_steps: Optional[int] = 3, + comparison_mode: str = "equal_budget", + fixed_cadence_minutes: float = 60.0, +) -> dict: + """Compare adaptive and fixed samplers on identical simulated paths. + + ``comparison_mode='equal_budget'`` gives the fixed baseline exactly the + adaptive schedule's sample count on each path, isolating placement quality. + ``comparison_mode='fixed_cadence'`` samples independently at the requested + cadence, exposing the detection-versus-observation-cost trade-off. Lower and + upper breaches are evaluated independently, and a detection must occur + within ``max_detection_lag_steps`` grid steps when that limit is not ``None``. + """ + _require_positive("S0", S0) + _require_positive("sigma_annual", sigma_annual) + _require_positive("window_minutes", window_minutes) + _require_positive_int("n_paths", n_paths) + _require_positive_int("n_steps", n_steps) + if not np.isfinite(mu_annual): + raise ValueError("mu_annual must be finite") + if not 0.0 < drop_fraction < 1.0: + raise ValueError("drop_fraction must lie between 0 and 1") + if rise_fraction <= 0 or not np.isfinite(rise_fraction): + raise ValueError("rise_fraction must be finite and positive") + if max_detection_lag_steps is not None: + if ( + isinstance(max_detection_lag_steps, bool) + or int(max_detection_lag_steps) != max_detection_lag_steps + or max_detection_lag_steps < 0 + ): + raise ValueError("max_detection_lag_steps must be a non-negative integer or None") + if comparison_mode not in {"equal_budget", "fixed_cadence"}: + raise ValueError("comparison_mode must be 'equal_budget' or 'fixed_cadence'") + _require_positive("fixed_cadence_minutes", fixed_cadence_minutes) + + rng = np.random.default_rng(rng_seed) + horizon_years = minutes_to_years(window_minutes) + if use_jumps: + t_years, prices = merton_jump_diffusion( + S0, + horizon_years, + n_steps, + n_paths, + mu=mu_annual, + sigma=sigma_annual, + jump_intensity=jump_intensity, + jump_mean=jump_mean, + jump_sigma=jump_sigma, + rng=rng, + ) + else: + t_years, prices = geometric_brownian_motion( + S0, + horizon_years, + n_steps, + n_paths, + mu=mu_annual, + sigma=sigma_annual, + rng=rng, + ) + + times_minutes = np.asarray(t_years) * TRADING_MINUTES_PER_YEAR + if dt_cap_minutes is None: + dt_cap_minutes = max(window_minutes / 15.0, 5.0) + _require_positive("dt_cap_minutes", dt_cap_minutes) + + lower_price = float(S0 * (1.0 - drop_fraction)) + upper_price = float(S0 * (1.0 + rise_fraction)) + sigma_per_sqrt_minute = horizon_vol(sigma_annual, 1.0) + + path_records: list[dict] = [] + adaptive_lags_steps: list[int] = [] + fixed_lags_steps: list[int] = [] + adaptive_lags_minutes: list[float] = [] + fixed_lags_minutes: list[float] = [] + adaptive_lags_by_direction: dict[str, list[int]] = {"lower": [], "upper": []} + fixed_lags_by_direction: dict[str, list[int]] = {"lower": [], "upper": []} + counts = { + "lower_events": 0, + "upper_events": 0, + "adaptive_lower": 0, + "adaptive_upper": 0, + "fixed_lower": 0, + "fixed_upper": 0, + } + + for path_prices in prices: + log_relative = np.log(path_prices / path_prices[0]) + lower_log = float(np.log1p(-drop_fraction)) + upper_log = float(np.log1p(rise_fraction)) + adaptive_idx = adaptive_schedule( + times_minutes, + log_relative, + lower_log, + sigma_per_sqrt_minute, + eps, + dt_cap=dt_cap_minutes, + B_upper=upper_log, + ) + if comparison_mode == "equal_budget": + fixed_idx = fixed_uniform_indices(len(times_minutes), len(adaptive_idx)) + else: + fixed_idx = fixed_cadence_indices(times_minutes, fixed_cadence_minutes) + + below = np.flatnonzero(path_prices <= lower_price) + above = np.flatnonzero(path_prices >= upper_price) + lower_breach_idx = int(below[0]) if below.size else None + upper_breach_idx = int(above[0]) if above.size else None + + lower_adapt = detect_barrier_event( + adaptive_idx, + path_prices, + lower_breach_idx, + lower_price, + "down", + max_detection_lag_steps, + ) + upper_adapt = detect_barrier_event( + adaptive_idx, + path_prices, + upper_breach_idx, + upper_price, + "up", + max_detection_lag_steps, + ) + lower_fixed = detect_barrier_event( + fixed_idx, + path_prices, + lower_breach_idx, + lower_price, + "down", + max_detection_lag_steps, + ) + upper_fixed = detect_barrier_event( + fixed_idx, + path_prices, + upper_breach_idx, + upper_price, + "up", + max_detection_lag_steps, + ) + + event_specs = [ + ("lower", lower_breach_idx, lower_adapt, lower_fixed), + ("upper", upper_breach_idx, upper_adapt, upper_fixed), + ] + for label, breach_idx, adaptive_result, fixed_result in event_specs: + if breach_idx is None: + continue + counts[f"{label}_events"] += 1 + if adaptive_result[0]: + counts[f"adaptive_{label}"] += 1 + adaptive_lags_steps.append(adaptive_result[1]) + adaptive_lags_by_direction[label].append(adaptive_result[1]) + adaptive_lags_minutes.append( + float(times_minutes[adaptive_result[2]] - times_minutes[breach_idx]) + ) + if fixed_result[0]: + counts[f"fixed_{label}"] += 1 + fixed_lags_steps.append(fixed_result[1]) + fixed_lags_by_direction[label].append(fixed_result[1]) + fixed_lags_minutes.append( + float(times_minutes[fixed_result[2]] - times_minutes[breach_idx]) + ) + + first_candidates = [ + (idx, direction) + for idx, direction in ((lower_breach_idx, "down"), (upper_breach_idx, "up")) + if idx is not None + ] + if first_candidates: + first_breach_idx, first_breach_dir = min(first_candidates, key=lambda item: item[0]) + else: + first_breach_idx, first_breach_dir = None, None + + if first_breach_dir == "down": + first_adapt, first_fixed = lower_adapt, lower_fixed + elif first_breach_dir == "up": + first_adapt, first_fixed = upper_adapt, upper_fixed + else: + first_adapt = first_fixed = (False, None, None) + + path_records.append( + { + "prices": path_prices.tolist(), + "log_prices": log_relative.tolist(), + "sample_indices": adaptive_idx.tolist(), + "sample_times": times_minutes[adaptive_idx].tolist(), + "sample_prices": path_prices[adaptive_idx].tolist(), + "fixed_sample_indices": fixed_idx.tolist(), + "fixed_sample_times": times_minutes[fixed_idx].tolist(), + "fixed_sample_prices": path_prices[fixed_idx].tolist(), + "breach_idx": first_breach_idx, + "breach_dir": first_breach_dir, + "lower_breach_idx": lower_breach_idx, + "upper_breach_idx": upper_breach_idx, + "adaptive_detected": first_adapt[0], + "fixed_detected": first_fixed[0], + "adaptive_detection_lag": first_adapt[1], + "fixed_detection_lag": first_fixed[1], + "adaptive_lower_detected": lower_adapt[0], + "adaptive_upper_detected": upper_adapt[0], + "fixed_lower_detected": lower_fixed[0], + "fixed_upper_detected": upper_fixed[0], + "adaptive_lower_detection_lag": lower_adapt[1], + "adaptive_upper_detection_lag": upper_adapt[1], + "fixed_lower_detection_lag": lower_fixed[1], + "fixed_upper_detection_lag": upper_fixed[1], + } + ) + + adaptive_total_samples = sum(len(record["sample_indices"]) for record in path_records) + fixed_total_samples = sum(len(record["fixed_sample_indices"]) for record in path_records) + n_events = counts["lower_events"] + counts["upper_events"] + n_paths_with_any_breach = sum(record["breach_idx"] is not None for record in path_records) + adaptive_detections = counts["adaptive_lower"] + counts["adaptive_upper"] + fixed_detections = counts["fixed_lower"] + counts["fixed_upper"] + + def _mean(values: list[float | int]) -> Optional[float]: + return float(np.mean(values)) if values else None + + return { + "paths": path_records, + "times_minutes": times_minutes.tolist(), + "lower_barrier_price": lower_price, + "upper_barrier_price": upper_price, + "S0": S0, + "sigma_annual": sigma_annual, + "mu_annual": mu_annual, + "window_minutes": window_minutes, + "use_jumps": use_jumps, + "eps": eps, + "drop_fraction": float(drop_fraction), + "rise_fraction": float(rise_fraction), + "dt_cap_minutes": float(dt_cap_minutes), + "max_detection_lag_steps": max_detection_lag_steps, + "comparison_mode": comparison_mode, + "fixed_cadence_minutes": float(fixed_cadence_minutes), + "grid_step_minutes": float(times_minutes[1] - times_minutes[0]), + "n_paths": n_paths, + "n_paths_with_any_breach": n_paths_with_any_breach, + "n_barrier_events": n_events, + "n_lower_events": counts["lower_events"], + "n_upper_events": counts["upper_events"], + # Backward-compatible aliases retained for existing clients. + "n_breaches": n_events, + "n_lower_breaches": counts["lower_events"], + "n_upper_breaches": counts["upper_events"], + "adaptive_detections": adaptive_detections, + "adaptive_lower_detections": counts["adaptive_lower"], + "adaptive_upper_detections": counts["adaptive_upper"], + "fixed_detections": fixed_detections, + "fixed_lower_detections": counts["fixed_lower"], + "fixed_upper_detections": counts["fixed_upper"], + "adaptive_total_samples": adaptive_total_samples, + "fixed_total_samples": fixed_total_samples, + "mean_detection_lag": _mean(adaptive_lags_steps), + "mean_lower_detection_lag": _mean(adaptive_lags_by_direction["lower"]), + "mean_upper_detection_lag": _mean(adaptive_lags_by_direction["upper"]), + "mean_fixed_detection_lag": _mean(fixed_lags_steps), + "mean_fixed_lower_detection_lag": _mean(fixed_lags_by_direction["lower"]), + "mean_fixed_upper_detection_lag": _mean(fixed_lags_by_direction["upper"]), + "mean_detection_lag_minutes": _mean(adaptive_lags_minutes), + "mean_fixed_detection_lag_minutes": _mean(fixed_lags_minutes), + "model_scope": ( + "eps controls a local Brownian-diffusion scheduling proxy; it is not an " + "unconditional miss guarantee and does not control jump risk." + ), + } diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..bc6e66a --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,10 @@ +"""Test configuration for running directly from a source checkout.""" + +from __future__ import annotations + +import sys +from pathlib import Path + +SRC_DIR = Path(__file__).resolve().parents[1] / "src" +if str(SRC_DIR) not in sys.path: + sys.path.insert(0, str(SRC_DIR)) diff --git a/tests/test_engine.py b/tests/test_engine.py new file mode 100644 index 0000000..8077c77 --- /dev/null +++ b/tests/test_engine.py @@ -0,0 +1,146 @@ +import numpy as np +import pytest + +from adaptive_barrier.engine import ( + TRADING_MINUTES_PER_YEAR, + adaptive_schedule, + barrier_miss_prob, + detect_barrier_event, + fixed_uniform_indices, + geometric_brownian_motion, + horizon_vol, + max_safe_dt, + merton_jump_diffusion, + run_monte_carlo_simulation, +) + + +def test_symmetric_bridge_inversion_matches_epsilon(): + distance = 0.04 + sigma = 0.01 + epsilon = 1e-3 + dt = max_safe_dt(distance, sigma, epsilon) + assert barrier_miss_prob(distance, distance, 0.0, sigma, dt) == pytest.approx(epsilon) + + +def test_vectorized_safe_interval_and_validation(): + result = max_safe_dt(np.array([0.01, 0.02]), 0.1, 1e-3) + assert result[1] == pytest.approx(4.0 * result[0]) + with pytest.raises(ValueError): + max_safe_dt(-0.01, 0.1, 1e-3) + + +def test_adaptive_schedule_uses_matching_minute_units(): + times = np.linspace(0.0, 10.0, 101) + path = np.zeros_like(times) + sigma_per_sqrt_minute = horizon_vol(0.30, 1.0) + indices = adaptive_schedule( + times, + path, + np.log(0.9), + sigma_per_sqrt_minute, + 1e-3, + dt_cap=2.0, + ) + assert np.array_equal(indices, np.array([0, 20, 40, 60, 80, 100])) + + +def test_detection_deadline_is_enforced(): + values = np.array([100.0, 89.0, 88.0, 87.0, 86.0]) + samples = np.array([0, 4]) + assert detect_barrier_event(samples, values, 1, 90.0, "down", 2) == (False, None, None) + assert detect_barrier_event(samples, values, 1, 90.0, "down", 3) == (True, 3, 4) + + +def test_fixed_indices_have_exact_requested_count(): + for n in (2, 10, 101): + for k in range(1, n + 1): + indices = fixed_uniform_indices(n, k) + assert len(indices) == k + assert len(np.unique(indices)) == k + assert indices[0] == 0 + if k > 1: + assert indices[-1] == n - 1 + + +def test_zero_jump_intensity_matches_gbm_for_same_seed(): + kwargs = dict(S0=100.0, T=5 / TRADING_MINUTES_PER_YEAR, n_steps=100, n_paths=3, mu=0.05, sigma=0.2) + _, gbm = geometric_brownian_motion(**kwargs, rng=np.random.default_rng(9)) + _, jump = merton_jump_diffusion( + **kwargs, + jump_intensity=0.0, + rng=np.random.default_rng(9), + ) + assert np.array_equal(gbm, jump) + + +def test_simulation_baseline_has_exact_per_path_budget(): + result = run_monte_carlo_simulation( + n_paths=12, + n_steps=200, + rng_seed=7, + drop_fraction=0.05, + rise_fraction=0.08, + ) + assert result["adaptive_total_samples"] == result["fixed_total_samples"] + for path in result["paths"]: + assert len(path["sample_indices"]) == len(path["fixed_sample_indices"]) + + +def test_simulation_lags_respect_deadline(): + deadline = 3 + result = run_monte_carlo_simulation( + n_paths=20, + n_steps=300, + rng_seed=3, + drop_fraction=0.04, + rise_fraction=0.06, + max_detection_lag_steps=deadline, + ) + for path in result["paths"]: + for key in ( + "adaptive_lower_detection_lag", + "adaptive_upper_detection_lag", + "fixed_lower_detection_lag", + "fixed_upper_detection_lag", + ): + lag = path[key] + assert lag is None or 0 <= lag <= deadline + + +def test_simulation_exposes_unambiguous_event_counts(): + result = run_monte_carlo_simulation( + n_paths=8, + n_steps=150, + rng_seed=11, + drop_fraction=0.04, + rise_fraction=0.06, + ) + assert result["n_barrier_events"] == result["n_lower_events"] + result["n_upper_events"] + assert result["n_breaches"] == result["n_barrier_events"] + assert 0 <= result["n_paths_with_any_breach"] <= result["n_paths"] + + +def test_fixed_cadence_indices_include_window_end_and_respect_grid(): + from adaptive_barrier.engine import fixed_cadence_indices + + times = np.linspace(0.0, 100.0, 11) + indices = fixed_cadence_indices(times, 25.0) + assert np.array_equal(indices, np.array([0, 3, 5, 8, 10])) + + +def test_fixed_cadence_mode_uses_independent_sample_count(): + result = run_monte_carlo_simulation( + n_paths=4, + n_steps=200, + window_minutes=200.0, + dt_cap_minutes=2.0, + comparison_mode="fixed_cadence", + fixed_cadence_minutes=20.0, + rng_seed=5, + ) + assert result["comparison_mode"] == "fixed_cadence" + assert result["fixed_cadence_minutes"] == 20.0 + assert result["adaptive_total_samples"] != result["fixed_total_samples"] + fixed_counts = {len(path["fixed_sample_indices"]) for path in result["paths"]} + assert fixed_counts == {11} diff --git a/tests/test_webapp.py b/tests/test_webapp.py new file mode 100644 index 0000000..aaa651e --- /dev/null +++ b/tests/test_webapp.py @@ -0,0 +1,82 @@ +from fastapi.testclient import TestClient + +from webapp.app import app + + +client = TestClient(app) + + +def test_health_endpoint(): + response = client.get("/api/health") + assert response.status_code == 200 + payload = response.json() + assert payload["ok"] is True + assert payload["version"] == "0.4.7" + + +def test_simulation_endpoint_preserves_equal_budget(): + response = client.post( + "/api/simulate", + json={ + "rng_seed": 3, + "n_paths": 5, + "n_steps": 100, + "drop_fraction": 0.05, + "rise_fraction": 0.08, + "max_detection_lag_steps": 3, + }, + ) + assert response.status_code == 200 + payload = response.json() + assert payload["adaptive_total_samples"] == payload["fixed_total_samples"] + assert payload["max_detection_lag_steps"] == 3 + +def test_webapp_imports_from_source_checkout_without_installed_package(tmp_path): + """The documented direct uvicorn command must resolve the src-layout package.""" + import os + import subprocess + import sys + from pathlib import Path + + repo_root = Path(__file__).resolve().parents[1] + env = os.environ.copy() + env.pop("PYTHONPATH", None) + completed = subprocess.run( + [sys.executable, "-c", "import webapp.app; print(webapp.app.app.title)"], + cwd=repo_root, + env=env, + capture_output=True, + text=True, + check=False, + ) + assert completed.returncode == 0, completed.stderr + assert "Adaptive Barrier Monitor" in completed.stdout + + + +def test_simulation_endpoint_supports_fixed_cadence(): + response = client.post( + "/api/simulate", + json={ + "rng_seed": 3, + "n_paths": 5, + "n_steps": 200, + "window_minutes": 200.0, + "dt_cap_minutes": 2.0, + "comparison_mode": "fixed_cadence", + "fixed_cadence_minutes": 20.0, + }, + ) + assert response.status_code == 200 + payload = response.json() + assert payload["comparison_mode"] == "fixed_cadence" + assert payload["fixed_cadence_minutes"] == 20.0 + assert payload["adaptive_total_samples"] != payload["fixed_total_samples"] + + +def test_simulation_endpoint_rejects_unknown_comparison_mode(): + response = client.post( + "/api/simulate", + json={"comparison_mode": "unknown"}, + ) + assert response.status_code == 422 diff --git a/webapp.md b/webapp.md new file mode 100644 index 0000000..f60e301 --- /dev/null +++ b/webapp.md @@ -0,0 +1,89 @@ +# Webapp Reference + +The web application is a focused Monte Carlo comparison built with FastAPI, +vanilla JavaScript, and Plotly.js. + +## Purpose + +For each simulated price path, the backend constructs an adaptive schedule +using the current distance to the nearer log-price barrier and the local +symmetric-endpoint Brownian-bridge proxy. The fixed baseline has two modes: + +1. **Equal budget:** use exactly the adaptive schedule's sample count on each + path, distributed uniformly. +2. **Fixed cadence:** sample at an independently selected interval in minutes, + with the start and end of the window included. + +Lower and upper barrier events are evaluated independently. A detection must +occur within the configured number of simulation-grid steps and the sampled +price must still be beyond the relevant barrier. + +## Routes + +### `GET /` + +Serves the single-page frontend and replaces static asset query strings with +mtime/size cache-busting values. + +### `GET /api/health` + +Returns runtime readiness, package version, and default model parameters. + +### `POST /api/simulate` + +Validated request fields include: + +- initial price, annual drift, and annual volatility; +- simulation horizon, number of paths, and grid resolution; +- lower and upper barrier percentages; +- local diffusion parameter `eps`; +- hard maximum polling interval; +- detection deadline in grid steps; +- comparison mode and fixed cadence in minutes; +- optional Merton jump parameters; +- optional random seed. + +The response contains path data, both schedules, direction-specific breach and +detection fields, exact sample totals, detection-lag summaries, and an explicit +model-scope warning. + +## Important interpretation + +`eps` is **not** an unconditional probability guarantee. The exact Brownian +bridge formula conditions on two endpoints, whereas an online scheduler does +not know the future endpoint. The implementation substitutes the current +barrier distance for both endpoint distances. Jumps are outside that diffusion +calculation entirely. + +The demo therefore presents a controlled scheduling comparison, not a promise +that adaptive sampling always outperforms fixed sampling. + +## Frontend + +The interface provides controls for all main simulation and detector parameters. +It displays: + +- simulated paths and both barriers; +- adaptive observations as open cyan circles; +- equal-budget or fixed-cadence observations as grey dots; +- first lower and upper breach markers; +- direction-specific detection counts; +- exact adaptive/fixed sample totals; +- adaptive and fixed mean detection lags; +- raw run statistics and model-scope warnings. + +Pure GBM is the default. Merton jump diffusion is an optional stress mode and +triggers an on-screen warning about the limits of the Brownian proxy. + +## Local development + +```bash +pip install -e ".[webapp]" +uvicorn webapp.app:app --reload --host 127.0.0.1 --port 8055 +``` + +## API smoke test + +```bash +curl -s http://127.0.0.1:8055/api/health +``` diff --git a/webapp/Dockerfile b/webapp/Dockerfile new file mode 100644 index 0000000..fae84cb --- /dev/null +++ b/webapp/Dockerfile @@ -0,0 +1,23 @@ +FROM python:3.12-slim + +ENV PYTHONDONTWRITEBYTECODE=1 \ + PYTHONUNBUFFERED=1 \ + PIP_NO_CACHE_DIR=1 + +WORKDIR /app + +COPY pyproject.toml README.md ./ +COPY src ./src +RUN pip install ".[webapp]" + +COPY webapp ./webapp + +RUN useradd --create-home --uid 10001 appuser && chown -R appuser:appuser /app +USER appuser + +EXPOSE 8055 + +HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \ + CMD python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8055/api/health', timeout=2)" + +CMD ["uvicorn", "webapp.app:app", "--host", "0.0.0.0", "--port", "8055"] diff --git a/webapp/__init__.py b/webapp/__init__.py new file mode 100644 index 0000000..bdcc928 --- /dev/null +++ b/webapp/__init__.py @@ -0,0 +1 @@ +"""FastAPI application package for the Adaptive Barrier Monitor demo.""" diff --git a/webapp/app.py b/webapp/app.py new file mode 100644 index 0000000..bbd1c3a --- /dev/null +++ b/webapp/app.py @@ -0,0 +1,123 @@ +"""FastAPI web demo for the Adaptive Barrier Monitor.""" + +from __future__ import annotations + +import re +import sys +from pathlib import Path +from typing import Any, Literal + +import numpy as np +from fastapi import FastAPI +from fastapi.responses import HTMLResponse +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel, Field + +# Support both an installed package (`pip install -e .`) and direct launches +# from a source checkout (`uvicorn webapp.app:app`). +REPO_ROOT = Path(__file__).resolve().parents[1] +SRC_DIR = REPO_ROOT / "src" +if str(SRC_DIR) not in sys.path: + sys.path.insert(0, str(SRC_DIR)) + +from adaptive_barrier import __version__ +from adaptive_barrier.engine import ( + DROP_FRACTION, + LOG_BARRIER, + RISE_FRACTION, + TYPICAL_ANNUAL_VOL, + WINDOW_MINUTES, + run_monte_carlo_simulation, +) + +STATIC_DIR = REPO_ROOT / "webapp" / "static" + + +class SimulateRequest(BaseModel): + """Validated Monte Carlo and detector-comparison parameters.""" + + S0: float = Field(100.0, gt=0.0, le=10000.0) + sigma_annual: float = Field(TYPICAL_ANNUAL_VOL, gt=0.0, le=2.0) + mu_annual: float = Field(0.0, ge=-0.5, le=0.5) + window_minutes: float = Field(1950.0, gt=0.0, le=39000.0) + n_paths: int = Field(20, ge=1, le=100) + n_steps: int = Field(500, ge=50, le=2000) + use_jumps: bool = Field( + False, + description="Use Merton jump diffusion. The Brownian miss proxy does not control jumps.", + ) + jump_intensity: float = Field(25.0, ge=0.0, le=500.0) + jump_mean: float = Field(-0.02, ge=-0.5, le=0.5) + jump_sigma: float = Field(0.05, ge=0.0, le=0.5) + eps: float = Field(1e-3, gt=0.0, lt=1.0) + dt_cap_minutes: float | None = Field(None, gt=0.0, le=1440.0) + rng_seed: int | None = Field(None, ge=0, le=2_147_483_647) + drop_fraction: float = Field(DROP_FRACTION, gt=0.0, lt=1.0) + rise_fraction: float = Field(RISE_FRACTION, gt=0.0, le=1.0) + max_detection_lag_steps: int | None = Field(3, ge=0, le=100) + comparison_mode: Literal["equal_budget", "fixed_cadence"] = "equal_budget" + fixed_cadence_minutes: float = Field(60.0, gt=0.0, le=39000.0) + + +def _file_version(path: Path) -> str: + try: + stat = path.stat() + return f"{int(stat.st_mtime)}-{stat.st_size}" + except FileNotFoundError: + return "missing" + + +def _json_safe(obj: Any) -> Any: + if isinstance(obj, dict): + return {str(key): _json_safe(value) for key, value in obj.items()} + if isinstance(obj, (list, tuple)): + return [_json_safe(value) for value in obj] + if isinstance(obj, np.integer): + return int(obj) + if isinstance(obj, np.floating): + value = float(obj) + return value if np.isfinite(value) else None + if isinstance(obj, np.ndarray): + return _json_safe(obj.tolist()) + if isinstance(obj, np.bool_): + return bool(obj) + return obj + + +app = FastAPI(title="Adaptive Barrier Monitor", version=__version__) +app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static") + + +@app.get("/") +def index() -> HTMLResponse: + html = (STATIC_DIR / "index.html").read_text(encoding="utf-8") + html = re.sub( + r'app\.css\?v=[^\s"\']+', + f"app.css?v={_file_version(STATIC_DIR / 'app.css')}", + html, + ) + html = re.sub( + r'app\.js\?v=[^\s"\']+', + f"app.js?v={_file_version(STATIC_DIR / 'app.js')}", + html, + ) + return HTMLResponse(content=html) + + +@app.get("/api/health") +def health() -> dict: + return { + "ok": True, + "version": __version__, + "default_sigma_annual": TYPICAL_ANNUAL_VOL, + "default_window_minutes": WINDOW_MINUTES, + "drop_fraction": DROP_FRACTION, + "rise_fraction": RISE_FRACTION, + "log_barrier": LOG_BARRIER, + } + + +@app.post("/api/simulate") +def simulate(req: SimulateRequest) -> dict: + result = run_monte_carlo_simulation(**req.model_dump()) + return _json_safe(result) diff --git a/webapp/static/app.css b/webapp/static/app.css new file mode 100644 index 0000000..e9d60fd --- /dev/null +++ b/webapp/static/app.css @@ -0,0 +1,475 @@ +/* Theme tokens and page structure intentionally mirror ClimbingBoardGPT. */ +:root { + --base00: #1A1B26; + --base01: #16161E; + --base02: #2F3549; + --base03: #444B6A; + --base04: #787C99; + --base05: #A9B1D6; + --base07: #D5D6DB; + --base08: #F7768E; + --base0a: #0DB9D7; + --base0b: #9ECE6A; + --base0c: #B4F9F8; + --base0d: #2AC3DE; + --base0e: #BB9AF7; + --base0f: #F7768E; + --bg: var(--base00); + --off-bg: var(--base01); + --inner-bg: var(--base02); + --fg: var(--base05); + --off-fg: var(--base04); + --muted: var(--base03); + --link: var(--base0d); + --hover: var(--base0c); + --highlight: var(--base0a); + --logo: var(--base0b); + --danger: var(--base08); + --border: rgba(120, 124, 153, 0.3); + --sans: "Inter", sans-serif; + --mono: "Fira Mono", ui-monospace, SFMono-Regular, Menlo, Consolas, "Liberation Mono", monospace; +} + +* { box-sizing: border-box; } + +body { + margin: 0; + font-family: var(--sans); + font-size: 16px; + line-height: 1.6rem; + background: var(--bg); + color: var(--fg); +} + +.site-header { + display: flex; + justify-content: space-between; + align-items: flex-start; + gap: 1.5rem; + max-width: 78rem; + margin: 1rem auto 0; + padding: 0 1rem; +} + +.eyebrow { + margin: 0; + color: var(--logo); + font-size: 1rem; +} + +.site-header h1 { + margin: 0; + font-size: 1rem; + font-weight: 600; +} + +.site-header h1::before { content: none; } + +.site-header p { + margin: 0; + color: var(--off-fg); +} + +.health { + flex-shrink: 0; + font-size: 0.78rem; + color: var(--highlight); + white-space: nowrap; + border: 1px solid var(--border); + padding: 0.25rem 0.5rem; + background: var(--inner-bg); +} + +.layout { + display: grid; + grid-template-columns: 22rem minmax(0, 1fr); + grid-template-rows: auto 1fr; + grid-template-areas: + "col-top col-viewer" + "col-info col-viewer"; + gap: 2rem; + padding: 2rem 1rem 1rem; + max-width: 78rem; + margin: 0 auto; + align-items: start; +} + +#col-top { grid-area: col-top; } +#col-viewer { grid-area: col-viewer; } +#col-info { grid-area: col-info; } + +.controls { + display: flex; + flex-direction: column; + gap: 1rem; +} + +.card, .result-card { + background: var(--off-bg); + border: 1px solid var(--border); + padding: 1rem; +} + +.card h2, .result-card h2 { + margin: 0 0 1rem; + font-size: 1rem; + font-weight: 600; + color: var(--fg); +} + +.card h2::before, .result-card h2::before { content: none; } + +label { + display: block; + margin: 0.7rem 0; + font-size: 0.82rem; + color: var(--off-fg); +} + +input, select, textarea { + display: block; + width: 100%; + margin-top: 0.28rem; + border: 1px solid var(--border); + padding: 0.6rem 0.7rem; + font: inherit; + color: var(--fg); + background: var(--inner-bg); +} + +input:focus, select:focus, textarea:focus { + outline: 2px solid rgba(137, 221, 255, 0.28); + border-color: var(--hover); +} + +button { + width: 100%; + border: 1px solid var(--link); + padding: 0.68rem 0.9rem; + margin-top: 0.4rem; + font-weight: 700; + color: var(--bg); + background: var(--link); + cursor: pointer; + font-family: var(--sans); +} + +button:hover { + border-color: var(--hover); + background: var(--hover); +} + +button:disabled { opacity: 0.55; cursor: not-allowed; } + +/* Keep the run control reachable while scrolling through the long parameter card. */ +#mc-run-btn { + position: sticky; + bottom: 0.6rem; + z-index: 5; + box-shadow: 0 -2px 10px rgba(0, 0, 0, 0.3); +} + +.card.collapsible > h2 { + display: flex; + align-items: center; + cursor: pointer; + user-select: none; +} + +.card.collapsible > h2::after { + content: "▾"; + font-size: 2rem; + color: var(--muted); + margin-left: auto; + padding-left: 0.5rem; + flex-shrink: 0; +} + +.card.collapsible.collapsed > h2::after { content: "▸"; } +.card.collapsible > h2:hover::after { color: var(--off-fg); } +.card.collapsible.collapsed > *:not(h2) { display: none; } + +.field-help { + display: block; + margin-top: 0.35rem; + color: var(--muted); + font-size: 0.72rem; + line-height: 1.35; +} + +.checkbox-label { + display: flex; + align-items: center; + gap: 0.55rem; + color: var(--fg); +} + +.checkbox-label input { + width: auto; + margin: 0; +} + +input[type="range"] { + padding: 0; + height: 6px; + -webkit-appearance: none; + appearance: none; + background: var(--inner-bg); + border: 1px solid var(--border); + cursor: pointer; +} + +input[type="range"]::-webkit-slider-thumb { + -webkit-appearance: none; + width: 16px; + height: 16px; + background: var(--link); + border-radius: 50%; + cursor: pointer; +} + +.range-row { + display: flex; + gap: 0.55rem; + align-items: center; +} + +.range-row input[type="range"] { flex: 1; } + +.range-row input[type="number"] { + width: 7.5rem; + flex-shrink: 0; + -moz-appearance: textfield; +} + +.range-row input[type="number"]::-webkit-inner-spin-button, +.range-row input[type="number"]::-webkit-outer-spin-button { + -webkit-appearance: none; + margin: 0; +} + +.note p, .small { + color: var(--off-fg); + font-size: 0.82rem; + line-height: 1.45; +} + +.note p:first-of-type { margin-top: 0; } +.note p:last-child { margin-bottom: 0; } + +.result-header { + text-align: center; + margin-bottom: 0.85rem; +} + +.result-header h2 { margin-bottom: 0.25rem; } + +.result-header p { + margin: 0; + color: var(--off-fg); + font-size: 0.84rem; +} + +.headline { + display: grid; + grid-template-columns: repeat(4, 1fr); + gap: 0.6rem; + max-width: 820px; + margin: 0 auto 1rem; +} + +.tile { + display: flex; + flex-direction: column; + align-items: center; + padding: 0.6rem 0.4rem; + border: 1px solid var(--border); + background: var(--inner-bg); + text-align: center; +} + +.tile-num { + font-size: 1.3rem; + font-weight: 700; + color: var(--highlight); + line-height: 1.1; + white-space: nowrap; +} + +.tile-lab { + font-size: 0.74rem; + font-weight: 600; + color: var(--fg); + margin-top: 0.2rem; +} + +.tile-sub { + font-size: 0.66rem; + color: var(--muted); + margin-top: 0.1rem; + line-height: 1.25; +} + +.result-note { + max-width: 760px; + margin: 0 auto 0.85rem; + color: var(--off-fg); + font-size: 0.78rem; + line-height: 1.45; + text-align: center; +} + +.chart-stage { + width: 100%; + max-width: 960px; + margin: 0 auto; + min-height: 420px; + border: 1px solid var(--border); + background: var(--bg); + overflow: hidden; +} + +.chart-stage .js-plotly-plot { width: 100% !important; } + +.warning-box { + margin: 0.7rem auto 0.85rem; + max-width: 760px; + border: 1px solid rgba(255, 203, 107, 0.55); + background: rgba(255, 203, 107, 0.12); + color: var(--highlight); + padding: 0.65rem 0.8rem; + font-size: 0.8rem; + text-align: left; + white-space: pre-line; +} + +.advanced-opts { + margin-top: 0.9rem; +} + +.advanced-opts summary { + cursor: pointer; + font-size: 0.78rem; + color: var(--muted); + user-select: none; +} + +.advanced-opts summary:hover { color: var(--highlight); } + +.method-note { + max-width: 900px; + margin-left: auto; + margin-right: auto; + color: var(--off-fg); + font-size: 0.8rem; + line-height: 1.45; +} + +.method-note ol { + margin: 0.65rem 0 0.45rem; + padding-left: 1.25rem; +} + +.method-note li + li { margin-top: 0.32rem; } +.method-note p { margin: 0.45rem 0 0; } +.method-note strong { color: var(--fg); } + +.explain dl { margin: 0; } + +.explain dt { + color: var(--highlight); + font-size: 0.78rem; + margin-top: 0.75rem; +} + +.explain dt:first-child { margin-top: 0; } + +.explain dd { + margin: 0.22rem 0 0; + color: var(--off-fg); + font-size: 0.78rem; + line-height: 1.45; +} + +.explain p { + color: var(--off-fg); + font-size: 0.82rem; + line-height: 1.45; +} + +.explain p:first-of-type { margin-top: 0; } +.explain p:last-child { margin-bottom: 0; } + +.link-list { + margin: 0; + padding-left: 1.1rem; + color: var(--off-fg); + font-size: 0.82rem; + line-height: 1.6; +} + +.link-list li::marker { + content: '·\00A0\00A0'; + color: var(--muted); +} + +.json-block { + margin-top: 1rem; + color: var(--off-fg); +} + +.json-block summary { + cursor: pointer; + font-size: 0.78rem; + color: var(--muted); +} + +.json-block summary:hover { color: var(--highlight); } + +.json-block pre { + overflow: auto; + max-height: 300px; + padding: 1rem; + background: var(--inner-bg); + color: var(--off-fg); + border: 1px solid var(--border); + font-size: 0.76rem; +} + +.site-footer { + display: flex; + flex-wrap: wrap; + gap: 0.5rem 1.5rem; + max-width: 78rem; + margin: 0 auto 1.5rem; + padding: 0 1rem; + color: var(--off-fg); + font-size: 0.82rem; +} + +.site-footer a, .link-list a { + color: var(--link); + transition: color 0.15s ease; +} + +.site-footer a:hover, .link-list a:hover { color: var(--hover); } + +@media (max-width: 900px) { + .layout { + grid-template-columns: 1fr; + grid-template-rows: auto auto auto; + grid-template-areas: + "col-top" + "col-viewer" + "col-info"; + } + + .site-header { flex-direction: column; } + .headline { grid-template-columns: repeat(2, 1fr); } +} + +@media (max-width: 520px) { + .headline { grid-template-columns: 1fr; } + .range-row { align-items: stretch; flex-direction: column; } + .range-row input[type="number"] { width: 100%; } +} diff --git a/webapp/static/app.js b/webapp/static/app.js new file mode 100644 index 0000000..70b7e83 --- /dev/null +++ b/webapp/static/app.js @@ -0,0 +1,373 @@ +/* + * Browser-side controller for the Adaptive Barrier Monitor demo (Monte Carlo showcase). + * + * Runs a simulation and renders each path with adaptive sampling (cyan) and + * either an equal-budget or independently fixed-cadence baseline (grey). + */ + +const state = { lastResult: null }; + +// ---- helpers ---- + +function $(id) { return document.getElementById(id); } + +async function fetchJson(url, options = {}) { + const resp = await fetch(url, options); + const text = await resp.text(); + let payload; + try { payload = text ? JSON.parse(text) : {}; } catch { payload = { detail: text }; } + if (!resp.ok) { + const detail = payload.detail ?? payload; + throw new Error(typeof detail === "string" ? detail : JSON.stringify(detail, null, 2)); + } + return payload; +} + +function setBusy(button, busy) { + button.disabled = busy; + button.textContent = busy ? "Working…" : (button.dataset.label || button.textContent); +} + +function showWarnings(warnings) { + const box = $("warning-box"); + const norm = (warnings || []).filter(Boolean).map(String); + if (norm.length === 0) { box.hidden = true; box.textContent = ""; return; } + box.hidden = false; + box.textContent = norm.join("\n"); +} + +// ---- slider ↔ number sync ---- + +function bindRange(id) { + const range = $(id); + const num = $(id + "-val"); + if (!range || !num) return; + range.addEventListener("input", () => { num.value = parseFloat(range.value); }); + num.addEventListener("change", () => { range.value = parseFloat(num.value); }); +} + +function bindLogRange(id) { + const range = $(id); + const num = $(id + "-val"); + if (!range || !num) return; + range.addEventListener("input", () => { num.value = Number(range.value).toExponential(4); }); + num.addEventListener("change", () => { range.value = parseFloat(num.value); }); +} + +function updateComparisonModeCopy() { + const mode = $("mc-comparison-mode").value; + const fixedCadence = mode === "fixed_cadence"; + $("mc-fixed-cadence-row").hidden = !fixedCadence; + + if (fixedCadence) { + $("fixed-explanation").innerHTML = + 'A fixed-cadence sampler that observes every chosen number of minutes, independently of the adaptive sample count.'; + $("headline-explanation").textContent = + 'The schedules use independent sample counts. Compare detections, lag, and total observations to see the quality–cost trade-off.'; + $("comparison-note").innerHTML = + 'The fixed monitor samples at the selected cadence. The experiment compares detection quality and observation cost.'; + $("allocation-method").innerHTML = + 'Allocate samples: adaptive intervals shrink near the closest barrier; the fixed monitor samples at the selected cadence.'; + $("method-conclusion").textContent = + 'The headline compares detections, mean lag, and total observations under independent schedules.'; + } else { + $("fixed-explanation").innerHTML = + 'An exactly equal-budget fixed-rate sampler: each path receives the same number of observations as its adaptive counterpart, spread uniformly.'; + $("headline-explanation").textContent = + 'Same paths and exactly the same sample budget. The comparison reports which schedule confirms more lower and upper barrier events before the detection deadline.'; + $("comparison-note").innerHTML = + 'The adaptive and fixed monitors receive the same number of samples on every path. The experiment therefore compares sample placement—not computational cost.'; + $("allocation-method").innerHTML = + 'Allocate samples: adaptive intervals shrink near the closest barrier; the fixed monitor receives the exact same sample count, spaced uniformly.'; + $("method-conclusion").textContent = + 'The headline compares detections and mean lag under an equal sample budget.'; + } +} + +// ---- Plotly helpers ---- + +const PLOTLY_CONFIG = { + displayModeBar: true, + modeBarButtonsToRemove: ["lasso2d", "select2d"], + displaylogo: false, + responsive: true, +}; + +const PLOTLY_LAYOUT = { + font: { color: "#A9B1D6", family: "Inter, sans-serif" }, + paper_bgcolor: "#1A1B26", + plot_bgcolor: "#1A1B26", + xaxis: { gridcolor: "rgba(120,124,153,0.15)", zerolinecolor: "rgba(120,124,153,0.3)" }, + yaxis: { gridcolor: "rgba(120,124,153,0.15)", zerolinecolor: "rgba(120,124,153,0.3)" }, + margin: { l: 60, r: 30, t: 20, b: 50 }, + legend: { font: { color: "#A9B1D6" }, x: 0.01, y: 0.99, bgcolor: "rgba(26,27,38,0.6)" }, +}; + +function renderPlot(data, layoutOverrides = {}) { + Plotly.newPlot("chart-stage", data, { ...PLOTLY_LAYOUT, ...layoutOverrides }, PLOTLY_CONFIG); +} + +// ---- Monte Carlo ---- + +async function runMonteCarlo() { + const button = $("mc-run-btn"); + setBusy(button, true); + showWarnings([]); + $("result-subtitle").textContent = "Running simulation…"; + + try { + const thresholdPct = parseFloat($("mc-threshold").value); + const risePct = parseFloat($("mc-rise-threshold").value); + const dtcapRaw = $("mc-dtcap").value.trim(); + const seedRaw = $("mc-seed").value.trim(); + const comparisonMode = $("mc-comparison-mode").value; + const payload = { + S0: 100.0, + sigma_annual: parseFloat($("mc-sigma").value), + mu_annual: parseFloat($("mc-mu").value), + window_minutes: parseFloat($("mc-window").value), + n_paths: parseInt($("mc-paths").value), + n_steps: parseInt($("mc-steps").value), + use_jumps: $("mc-jumps").checked, + jump_intensity: 25.0, + jump_mean: -0.02, + jump_sigma: 0.05, + eps: parseFloat($("mc-eps").value), + drop_fraction: thresholdPct / 100.0, + rise_fraction: risePct / 100.0, + dt_cap_minutes: dtcapRaw ? parseFloat(dtcapRaw) : null, + rng_seed: seedRaw ? parseInt(seedRaw) : null, + max_detection_lag_steps: parseInt($("mc-max-lag").value), + comparison_mode: comparisonMode, + fixed_cadence_minutes: parseFloat($("mc-fixed-cadence").value), + }; + const r = await fetchJson("/api/simulate", { + method: "POST", headers: { "Content-Type": "application/json" }, + body: JSON.stringify(payload), + }); + state.lastResult = r; + + const colors = ["#2AC3DE", "#BB9AF7", "#9ECE6A", "#0DB9D7", "#B4F9F8", + "#FF9E64", "#7DCFFF", "#C0CAF5", "#73DACA", "#F7768E"]; + const t = r.times_minutes; + const t0 = t[0], t1 = t[t.length - 1]; + const traces = []; + + for (let i = 0; i < r.paths.length; i++) { + const p = r.paths[i]; + const c = colors[i % colors.length]; + traces.push({ + x: t, y: p.prices, type: "scatter", mode: "lines", + line: { color: c, width: 0.8, opacity: 0.5 }, name: `Path ${i + 1}`, showlegend: i < 5, + }); + if (p.sample_times.length) { + traces.push({ + x: p.sample_times, y: p.sample_prices, type: "scatter", mode: "markers", + marker: { color: "#2AC3DE", size: 6, symbol: "circle-open", opacity: 0.9 }, + name: "adaptive", showlegend: i === 0, + }); + } + if (p.fixed_sample_times.length) { + traces.push({ + x: p.fixed_sample_times, y: p.fixed_sample_prices, type: "scatter", mode: "markers", + marker: { color: "#787C99", size: 3, opacity: 0.5 }, + name: r.comparison_mode === "fixed_cadence" ? "fixed cadence" : "fixed equal-budget", showlegend: i === 0, + }); + } + } + + // Lower barrier (drop) + traces.push({ + x: [t0, t1], y: [r.lower_barrier_price, r.lower_barrier_price], type: "scatter", mode: "lines", + line: { color: "#F7768E", width: 2, dash: "dash" }, name: `−${thresholdPct}% lower`, + }); + + // Upper barrier (rise) + traces.push({ + x: [t0, t1], y: [r.upper_barrier_price, r.upper_barrier_price], type: "scatter", mode: "lines", + line: { color: "#9ECE6A", width: 2, dash: "dash" }, name: `+${risePct}% upper`, + }); + + // Lower breach markers (red X) + const bxDown = [], byDown = []; + for (const p of r.paths) { + if (p.lower_breach_idx !== null) { bxDown.push(t[p.lower_breach_idx]); byDown.push(p.prices[p.lower_breach_idx]); } + } + if (bxDown.length) { + traces.push({ + x: bxDown, y: byDown, type: "scatter", mode: "markers", + marker: { color: "#F7768E", size: 13, symbol: "x", line: { width: 3 } }, + name: `↓ breaches (${bxDown.length})`, + }); + } + + // Upper breach markers (green triangles) + const bxUp = [], byUp = []; + for (const p of r.paths) { + if (p.upper_breach_idx !== null) { bxUp.push(t[p.upper_breach_idx]); byUp.push(p.prices[p.upper_breach_idx]); } + } + if (bxUp.length) { + traces.push({ + x: bxUp, y: byUp, type: "scatter", mode: "markers", + marker: { color: "#9ECE6A", size: 13, symbol: "triangle-up", line: { width: 3 } }, + name: `↑ breaches (${bxUp.length})`, + }); + } + + renderPlot(traces, { + xaxis: { title: "Time (minutes)" }, + yaxis: { title: "Price ($)" }, + showlegend: r.paths.length <= 10, + }); + + // Headline tiles — use explicit event counts and method labels. + // A barrier event is the first lower-barrier or upper-barrier crossing on a path. + // One path can therefore contribute up to two events. + const nEvents = r.n_barrier_events ?? r.n_breaches; + const nLowerEvents = r.n_lower_events ?? r.n_lower_breaches; + const nUpperEvents = r.n_upper_events ?? r.n_upper_breaches; + const number = new Intl.NumberFormat(); + + const directionSummary = (lowerCaught, upperCaught) => { + const lower = nLowerEvents > 0 + ? `↓ ${lowerCaught} of ${nLowerEvents} lower` + : "↓ no lower events"; + const upper = nUpperEvents > 0 + ? `↑ ${upperCaught} of ${nUpperEvents} upper` + : "↑ no upper events"; + return `${lower} · ${upper}`; + }; + + $("hl-adaptive").textContent = nEvents > 0 + ? `${r.adaptive_detections} of ${nEvents}` : "No events"; + $("hl-fixed").textContent = nEvents > 0 + ? `${r.fixed_detections} of ${nEvents}` : "No events"; + $("hl-adaptive-sub").textContent = directionSummary( + r.adaptive_lower_detections, + r.adaptive_upper_detections, + ); + $("hl-fixed-sub").textContent = directionSummary( + r.fixed_lower_detections, + r.fixed_upper_detections, + ); + + const equalBudgetMode = r.comparison_mode === "equal_budget"; + $("hl-samples").textContent = equalBudgetMode + ? `${number.format(r.adaptive_total_samples)} each` + : `A ${number.format(r.adaptive_total_samples)} · F ${number.format(r.fixed_total_samples)}`; + $("hl-samples-sub").textContent = equalBudgetMode + ? "same count on every path" + : `adaptive · fixed every ${number.format(r.fixed_cadence_minutes)} min`; + + const adaptiveLag = (r.mean_detection_lag !== null && r.mean_detection_lag !== undefined) + ? r.mean_detection_lag.toFixed(1) : "–"; + const fixedLag = (r.mean_fixed_detection_lag !== null && r.mean_fixed_detection_lag !== undefined) + ? r.mean_fixed_detection_lag.toFixed(1) : "–"; + $("hl-lag").textContent = `${adaptiveLag} vs ${fixedLag}`; + + const breachedPaths = r.n_paths_with_any_breach ?? r.paths.filter( + (path) => path.lower_breach_idx !== null || path.upper_breach_idx !== null, + ).length; + $("result-subtitle").textContent = + `${nEvents} barrier events across ${breachedPaths} of ${r.n_paths} paths` + + ` · ${nLowerEvents} lower, ${nUpperEvents} upper` + + ` · deadline ≤${r.max_detection_lag_steps} grid steps` + + (r.comparison_mode === "fixed_cadence" + ? ` · fixed every ${r.fixed_cadence_minutes} min` + : " · equal budget") + + (r.use_jumps ? " · Merton jumps" : " · pure GBM"); + + $("stats-json").textContent = JSON.stringify({ + threshold_pct: thresholdPct, + rise_pct: risePct, + seed: payload.rng_seed, + n_paths: r.n_paths, + n_paths_with_any_breach: r.n_paths_with_any_breach, + n_barrier_events: r.n_barrier_events ?? r.n_breaches, + n_lower_events: r.n_lower_events ?? r.n_lower_breaches, + n_upper_events: r.n_upper_events ?? r.n_upper_breaches, + adaptive_detections: r.adaptive_detections, + adaptive_lower_detections: r.adaptive_lower_detections, + adaptive_upper_detections: r.adaptive_upper_detections, + fixed_detections: r.fixed_detections, + fixed_lower_detections: r.fixed_lower_detections, + fixed_upper_detections: r.fixed_upper_detections, + adaptive_total_samples: r.adaptive_total_samples, + fixed_total_samples: r.fixed_total_samples, + mean_detection_lag: r.mean_detection_lag, + mean_lower_detection_lag: r.mean_lower_detection_lag, + mean_upper_detection_lag: r.mean_upper_detection_lag, + sigma_annual: r.sigma_annual, + mu_annual: r.mu_annual, + eps: r.eps, + drop_fraction: r.drop_fraction, + rise_fraction: r.rise_fraction, + dt_cap_minutes: r.dt_cap_minutes, + max_detection_lag_steps: r.max_detection_lag_steps, + comparison_mode: r.comparison_mode, + fixed_cadence_minutes: r.fixed_cadence_minutes, + grid_step_minutes: r.grid_step_minutes, + model_scope: r.model_scope, + }, null, 2); + + const warnings = []; + if (r.use_jumps) { + warnings.push("Jump stress test: ε is derived from a continuous diffusion and does not bound missed jump events."); + } + if (r.comparison_mode === "fixed_cadence" && r.fixed_cadence_minutes < r.grid_step_minutes) { + warnings.push(`The requested fixed cadence (${r.fixed_cadence_minutes} min) is finer than the simulation grid (${r.grid_step_minutes.toFixed(2)} min), so it is limited to one sample per grid point.`); + } + if (r.n_breaches === 0) { + warnings.push("No barrier events occurred in this run. Increase the horizon/volatility, lower the thresholds, or choose another seed."); + } + showWarnings(warnings); + } catch (err) { + showWarnings([err.message]); + } finally { + setBusy(button, false); + } +} + + +/** Initialize collapsible cards to match the ClimbingBoardGPT interaction. */ +function initCollapsibleCards() { + document.querySelectorAll(".card.collapsible > h2").forEach((heading) => { + const card = heading.parentElement; + heading.addEventListener("click", () => { + card.classList.toggle("collapsed"); + }); + }); +} + +// ---- init ---- + +async function init() { + $("mc-run-btn").dataset.label = "Run simulation"; + + try { + await fetchJson("/api/health"); + $("health").textContent = "ready"; + } catch { + $("health").textContent = "offline"; + } + + bindRange("mc-sigma"); + bindLogRange("mc-eps"); + updateComparisonModeCopy(); + initCollapsibleCards(); + + $("mc-comparison-mode").addEventListener("change", async () => { + updateComparisonModeCopy(); + await runMonteCarlo(); + }); + $("mc-run-btn").addEventListener("click", runMonteCarlo); + + // Enter opens on a compelling scenario immediately. + await runMonteCarlo(); +} + +init().catch(err => { + $("health").textContent = `Error: ${err.message}`; + showWarnings(["Initialization error: " + err.message]); + console.error(err); +}); diff --git a/webapp/static/favicon.svg b/webapp/static/favicon.svg new file mode 100644 index 0000000..d1c3e79 --- /dev/null +++ b/webapp/static/favicon.svg @@ -0,0 +1,4 @@ + + + ▼ + diff --git a/webapp/static/index.html b/webapp/static/index.html new file mode 100644 index 0000000..baba391 --- /dev/null +++ b/webapp/static/index.html @@ -0,0 +1,206 @@ + + + + + + Adaptive Barrier Monitor + + + + + + + + +
+
+

Adaptive Barrier Monitor

+

State-dependent sampling near price barriers

+

Monte Carlo demo comparing adaptive sampling with equal-budget and fixed-cadence baselines.

+
+
Loading…
+
+ +
+ +
+
+

Simulation parameters

+ + + + + + + + + + + + + + + +
+
+ + +
+
+
+

Monte Carlo Sandbox

+

Running…

+
+ +
+
+ – + events detected — adaptive + ↓ lower · ↑ upper +
+
+ – + events detected — fixed + ↓ lower · ↑ upper +
+
+ – + total samples + matched path by path +
+
+ – + mean detection lag + adaptive vs fixed · detected events only +
+
+ +

+ The adaptive and fixed monitors receive the same number of samples on every path. + The experiment therefore compares sample placement—not computational cost. +

+ + +
+
Running simulation…
+
+ +
+ How the Monte Carlo comparison works +
    +
  1. Simulate: generate independent GBM or Merton jump-diffusion price paths on a fine grid.
    2. +
  2. Mark events: record each path's first lower- and upper-barrier crossing.
    3. +
  3. Allocate samples: adaptive intervals shrink near the closest barrier; the fixed monitor receives the same sample count, spaced uniformly.
    4. +
  4. Score: an event is detected when a sampled price remains beyond the barrier within the selected deadline.
    5. +
+

+ The headline compares detections and mean lag under an equal sample budget. + The miss budget ε is a local diffusion-model design parameter, not a global guarantee. +

+
+ +
+ Raw result JSON + 
{}
+
+
+
+ + +
+
+

How to read it

+
+
Open cyan circles
+
Adaptive observations. The interval shrinks quadratically as the log-price approaches the nearer barrier.
+
Grey dots
+
An equal-budget fixed sampler with the same number of observations on each path, spaced uniformly.
+
Red × and green ▲
+
The first lower- and upper-barrier events on the fine reference grid.
+
Headline
+
Same paths and the same sample budget. Compare how many events each schedule confirms before the deadline.
+
+
+ +
+

Research demo caveat

+

The adaptive law is derived from a continuous diffusion model. Discrete grids, estimated volatility, latency, and jumps weaken any literal miss-probability guarantee.

+
+ +
+

How this works

+

The app simulates price paths, marks first barrier crossings, and compares two observation schedules on exactly the same paths.

+

Adaptive intervals use a Brownian-bridge proxy and shrink with squared distance to the nearest barrier. Fixed observations are either equal-budget or independently spaced at a chosen cadence.

+
+ +
+

Links

+ +
+
+
+ +
+ © Pawel Sarkowicz +
+ + + +