HourlyDD Logger by SQXHK
- Утилиты
- Версия: 1.0
SQXHK presents
MetaTrader 5 Expert Advisor: Hourly Equity & Drawdown Data Logger
Developer: SQX.hk
Visit SQX.hk for data science trading skills course using "StrategyQuant X" and AI Data Science platform "Tradotcom.com"!
This MQL5 script functions as an automated data-logging Expert Advisor (EA) designed to capture intraday equity metrics directly from MetaTrader 5 and export them into structured CSV files . It records hourly snapshots of account performance, high-water marks, and equity drawdowns in real-time .
Script Architecture & Functionality
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Initialization ( OnInit ): Captures the current account equity and login ID, setting the baseline high-water mark . Generates a unique CSV filename embedded with the account number and precise deployment timestamp .
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Real-Time Data Capture ( OnTick ): Evaluates tick data and triggers exact top-of-the-hour recording ( minute == 0 ) . Automatically updates peak equity (high-water mark) and tracks both current drawdown and maximum peak-to-trough drawdown .
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Thread-Safe File Handling: Utilizes non-blocking file access ( FILE_SHARE_READ | FILE_SHARE_WRITE ) to open, append, and close logs dynamically . Allows external Python scripts, SQL pipelines, or data visualization engines to read the dataset live without disrupting trade execution .
The Power of Data Science in the MT5 EA Market (SQX.hk Methodology)
Most retail traders evaluate Expert Advisors using surface-level metrics (e.g., total profit or terminal drawdowns). At SQX.hk, students learn to move beyond static backtests and harness the true power of Data Science for Quantitative Trading:
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Bridging MT5 to Python/R Pipelines: By automatically converting live broker telemetry into clean CSV files, this script bridges MQL5 execution with external data science toolkits .
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Continuous Intraday Risk Analytics: Static equity charts mask hidden intraday volatility. Continuous hourly drawdown logging equips students to calculate advanced quantitative metrics—such as Hourly Ulcer Index, Time-in-Drawdown Duration, and Intraday Tail-Risk Distributions.
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Robustness & Machine Learning Integration: SQX.hk trains students to leverage raw market logs for data-driven modeling—enabling automated strategy clustering, Monte Carlo stress testing, and real-time risk control models that adapt to changing market regimes.
Remarks:
This EA is to be used with "SQXHK Data Visualization Tools (Python) 數據視覺分析" offered during SQXHK StrategyQuant MasterClass lesson, and for various Data Science projects.
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