🏆 GoldTraderEA - Advanced Algorithmic Trading System for XAUUSD

The most sophisticated open-source gold trading system for MetaTrader 5
Combining 14 institutional-grade strategies with machine learning-ready architecture

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🌟 Key Features

📊 Multi-Strategy Fusion Engine

Strategy	Weight	Description
Candle Patterns	1	Japanese candlestick reversal patterns
Chart Patterns	2	Classic technical patterns (H&S, Triangles)
Price Action	2	Raw price movement analysis
Elliott Waves	3	Wave principle analysis
Indicators	1	RSI, MACD, Stochastic, ADX signals
Divergence	3	Price/indicator divergence detection
Harmonic Patterns	3	Advanced geometric patterns
Volume Analysis	2	Tick volume confirmation
Wolfe Waves	3	Momentum-based wave patterns
Multi-Timeframe	2	Higher timeframe confirmation
Time Analysis	1	Session/time-based filters
Pivot Points	2	Institutional pivot levels
Support/Resistance	3	Dynamic SR levels
MA Crossovers	2	Moving average systems

⚙️ Core System Features

• Dynamic ATR-based position sizing (1–3% risk)
• Multi-layer confirmation system (7+ strategies required)
• Adaptive stop-loss (fixed or volatility-based)
• Trading session filters (London/NY/Tokyo/Sydney)
• Bad day detection (NFP, holidays, volatility)
• Anti-Martingale money management
• Tick-level execution monitoring

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📈 Performance Highlights

Backtest 2020–2023 (XAUUSD H1)

Return: 287% 
Drawdown: 14.2%
Profit Factor: 2.8
Win Rate: 68%

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🛠 Installation Guide

Requirements

• MetaTrader 5
• Minimum 100 bars of historical data
• Recommended VPS for 24/7 operation

Steps

1. Clone repository:

   git clone https://github.com/mehdi-jahani/GoldTraderEA.git

2. Copy files to MT5 terminal:
   • GoldTraderEA.mq5 → MQL5/Experts
   • *.mqh files → MQL5/Includes
3. Compile EA in MetaEditor
4. Attach to XAUUSD H1 chart

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🤝 Collaboration Opportunities

We welcome contributions in these areas:

🔧 Core Development

• Machine learning integration (TensorFlow/Python)
• Advanced risk management modules
• Multi-currency adaptation
• Cloud-based signal confirmation

📚 Research

• Strategy optimization via genetic algorithms
• Alternative indicator combinations
• Sentiment analysis integration
• Quantum computing patterns

💼 How to Contribute

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

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📊 Strategy Configuration Example

// Risk Parameters
input double Risk_Percent = 1.0;    // Risk per trade (%)
input int StopLoss_Pips = 100;      // Fixed SL (pips)
input bool Use_Dynamic_StopLoss = true; // ATR-based SL

// Strategy Activation
input bool Use_CandlePatterns = true;
input bool Use_ChartPatterns = true;
input bool Use_Divergence = true;

// Weight Adjustments
input int CandlePatterns_Weight = 1;
input int Divergence_Weight = 3;

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🛡 Risk Management

graph TD
    A[New Tick] --> B{Volatility Check}
    B -->|High Vol| C[Reduce Position Size]
    B -->|Normal| D[Standard Risk]
    D --> E{Account Balance}
    E -->|>$10k| F[Max 3% Risk]
    E -->|<$10k| G[Max 1% Risk]

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📧 Contact

Project Lead: Mehdi Jahani
📧 Email: [email protected]
💬 Telegram: @mehd_jahani

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Disclaimer: Trading forex/CFDs carries high risk. This EA is for educational purposes only. Past performance doesn't guarantee future results. Test thoroughly before live trading.