Specification
Project Description:
I am looking for an experienced MQL5 developer to create a robust Expert Advisor (EA) for trading XAUUSD (Gold). The system must be designed with adaptability in mind, capable of responding effectively to changing market conditions.
Core Requirements:
- Trading Instrument:
- XAUUSD (Gold)
- Strategy Characteristics:
- The strategy should not be static; it must adapt to different market regimes (trend, range, volatility shifts).
- Preference for systems that incorporate statistical, machine learning, or probabilistic approaches.
- Optimization & Adaptability:
- Implementation of advanced optimization techniques such as Bayesian Optimization or similar adaptive algorithms.
- The EA should be capable of parameter self-adjustment or periodic re-optimization based on market behavior.
- Avoid overfitting: strong emphasis on generalization and robustness.
- Risk Management:
- Dynamic position sizing
- Stop Loss / Take Profit logic based on volatility (e.g., ATR or similar)
- Drawdown control mechanisms
- Backtesting & Validation:
- High-quality backtesting using tick data
- Walk-forward analysis is required
- Monte Carlo simulation is a strong plus
- Performance Expectations:
- Stable equity curve
- Controlled drawdowns
- Consistent performance across different market conditions
- Code Requirements:
- Clean, well-documented MQL5 code
- Modular structure for future improvements
- Efficient execution (low latency, optimized performance)
- Developer Requirements:
- Proven experience in developing profitable EAs
- Ability to provide verified results or portfolio of previous work
- Strong understanding of algorithmic trading and market dynamics
- Experience with adaptive or AI-based systems is highly preferred
Deliverables:
- Fully functional EA (.ex5 + source code)
- Documentation explaining logic and parameters
- Backtesting reports and validation results
Additional Notes:
I am specifically looking for a long-term collaboration with a developer who focuses on robustness and real-market performance, not just backtest results.
Please include examples of previous projects and verified performance when applying.
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Project information
Budget
2000+ USD
Deadline
to 90 day(s)