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MT5 Expert Advisor Robustness Analysis and Parameter Optimization

MQL5 Experts Consultation Forex Trading robot/indicator debugging Strategy optimization Statistics and mathematics Python SQL Data mining R

Specification

I am looking for an experienced quantitative developer to analyze and optimize an MT5 Expert Advisor that I have already developed.
The EA is relatively complex and includes:
Multiple strategies (Trend Pullback, Breakout, Mean Reversion, EMA Reclaim)
Scoring system combining technical score and probabilistic filter
Regime detection (ADX based)
Volatility filters (ATR regime)
Correlation and cluster exposure control
Risk management with ATR-based stops, trailing, partial closes and profit lock
AI-style probability filter (logistic model)
The goal is not simply maximizing backtest profit, but finding robust parameter ranges that perform consistently.
I need help with:
Robustness analysis of the strategy logic
Parameter optimization using MT5 Strategy Tester
Walk-forward optimization
Monte Carlo simulation
Identifying parameter ranges that remain stable across time
Suggestions for simplifying or improving filters if necessary
Important:
I am not looking for curve-fitting or over-optimization.
The goal is to find robust configurations suitable for real trading and prop firm environments.
The EA will be provided as a compiled .ex5 file.
Expected deliverables:
Optimization report
Recommended parameter ranges
Walk-forward validation results
Suggestions to improve robustness if needed.
Please include examples of previous MT4/MT5 optimization work.

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Project information

Budget
100 - 500 USD