MT5 EA Optimization – Improve Entry Filtering & Risk Management

Tarea técnica

I am looking for an experienced MQL5 developer to continue optimization work on an existing Expert Advisor (MQ5 source file available, 2.5MB).
Important: This is NOT a project to build a new EA. The task is strictly to refine and improve the current system while keeping the core strategy intact.
The EA is already functional and stable. A full code audit and baseline backtesting have already been done, and key inefficiencies have been identified.

Current Focus Areas:
* Reduce overtrading in choppy/range market conditions
* Improve entry timing in strong trends
* Align and refine scoring/filtering logic across modules
* Optimize trade exits (TP, SL, trailing, early exit behavior)
* Improve overall trade quality while maintaining low drawdown

Scope of Work:
* Refine entry filtering and thresholds
* Improve scoring system consistency and decision logic
* Enhance trade selection and execution efficiency
* Optimize exit and risk management logic
* Validate all improvements using proper backtesting (including out-of-sample testing)

Deliverables:
* Optimized MQ5 source file
* Before vs After performance comparison
* Stable version ready for forward testing

Requirements:
* Strong experience with complex MT5 EAs
* Proven expertise in optimization and backtesting
* Ability to avoid overfitting and ensure robustness
* Clean and efficient coding practices

Please explain your approach to optimizing an existing EA without changing its core logic

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