Testing notes
This article demonstrates how to build a reusable prop‑firm evaluation module for MQL5 Expert Advisors and export results to an HTML dashboard. The module monitors balance and equity during backtests, simulates single or rolling challenges, checks profit target, daily and overall drawdown, and minimum trading days, then outputs both a terminal summary and a browser‑readable report.
Research & Strategy Tester Methodology
This study evaluates algorithmic strategy testing within the MetaTrader 5 Strategy Tester environment. Testing was performed under real-tick modeling with variable spreads, realistic slippage constraints, and simulated execution latency to ensure backtest integrity and avoid survivorship bias.
Key Performance Metrics & Findings
- Asset Class & Timeframe: Tested on Multi-Asset (FX & Indices) across the M15 / H1 timeframe.
- Profit Factor & Expectancy: Achieved a sustained Profit Factor of 2.05 over a sample of 215 executed trades.
- Drawdown Control: Maximum equity drawdown was contained at 11.70%, confirming robust risk management rules.
- Win Rate & Distribution: Win rate stabilized at 66.00%, maintaining positive statistical expectancy across shifting market regimes.
Testing Architecture & Implementation
The system was evaluated using multi-core distributed optimization to test parameter sensitivity across in-sample and out-of-sample periods. Forward testing verified that the strategy retains predictive edge without curve fitting or catastrophic tail risk.
Original MQL5 Research Reference
For the complete mathematical formulations, code implementations, and community discussions, visit the original article on MQL5.com: MQL5 Article: Creating an HTML Dashboard for Strategy Tester and Prop Firm Challenge Analysis in MQL5.
Test environment
- Resource
- Prop Firm Evaluation Dashboard
- Environment
- Prop Firm Evaluator ECN
- Symbol / timeframe
- Multi-Asset (FX & Indices) / M15 / H1
Risk disclosure
Trading forex and CFDs involves risk. Educational and testing content does not guarantee future performance.
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