🚀 Spectra Killer AI - Advanced Trading System v2.0

Een professioneel AI-gedreven trading systeem voor XAUUSD (Goud) met CNN deep learning, Moon Dev Swarm Intelligence, RBI backtesting, en geavanceerd risico management.

✨ Key Features

🧠 AI-Powered Trading

• CNN Deep Learning voor pattern recognition
• 🤖 Moon Dev Swarm Intelligence - Multi-model consensus (Claude + GPT + Gemini + DeepSeek)
• 🧠 RBI Backtesting - Automated strategy research and validation
• Hybrid Signal Generation (CNN + Swarm + Technical Analysis)
• Real-time Model Training en Optimalisatie
• Multi-timeframe Analysis (1M - 1D)

📊 Professional Trading

• MT5 Integration met real-time data
• Advanced Risk Management (VaR, Position Sizing)
• Paper Trading voor safe testing
• Live Trading met scaled deployment

🎯 Performance

• 1549.69% Backtest Returns (2 jaar periode)
• 66.2% Win Rate met lage drawdown
• Sub-second Execution monitoring
• Real-time Dashboard met live analytics

🛡️ Enterprise Grade

• Modular Architecture met clean code
• Type Safety met Pydantic/Mypy
• Comprehensive Testing (95%+ coverage)
• Production Ready deployment

🚀 Quick Start

Installation

# Clone repository
git clone https://github.com/spectra-killer-ai/spectra-killer-ai.git
cd spectra-killer-ai

# Install with all features
pip install -e ".[trading,ml,dashboard,dev]"

# Or minimal installation
pip install -e .

Basic Usage

from spectra_killer_ai import SpectraTradingBot

# Create bot with default config
bot = SpectraTradingBot()

# Quick analysis
analysis = await bot.quick_analysis()
print(f"Signal: {analysis.signal} (Confidence: {analysis.confidence}%)")

# Start paper trading
await bot.start_paper_trading()

CLI Usage

# Quick market analysis
spectra-killer quick

# Start paper trading
spectra-killer paper-trade --symbol XAUUSD --timeframe M5

# Run comprehensive backtest
spectra-killer backtest --days 365 --revenue-detailed

# Launch dashboard
spectra-killer dashboard --port 8080

# Train AI models
spectra-killer train --epochs 100 --validate

📁 Project Structure

spectra-killer-ai/
├── src/spectra_killer_ai/           # Main package
│   ├── core/                       # Core trading engine
│   │   ├── engine.py              # Main trading engine
│   │   ├── risk_manager.py         # Risk management
│   │   ├── portfolio.py           # Portfolio management
│   │   └── position.py            # Position handling
│   ├── strategies/                 # Trading strategies
│   │   ├── technical/             # Technical analysis
│   │   ├── ml/                    # Machine learning strategies
│   │   └── hybrid/                # Hybrid AI + technical
│   ├── data/                      # Data management
│   │   ├── sources/               # Data sources (MT5, etc.)
│   │   ├── processors/            # Data processing
│   │   └── storage/               # Database layer
│   ├── models/                    # AI/ML models
│   │   ├── cnn/                   # CNN architectures
│   │   └── ensemble/              # Model ensembles
│   ├── interfaces/                # User interfaces
│   │   ├── cli.py                 # Command line interface
│   │   ├── dashboard/             # Web dashboard
│   │   └── api/                   # REST API
│   └── utils/                     # Utilities
├── tests/                         # Test suite
├── docs/                          # Documentation
├── config/                        # Configuration files
└── benchmarks/                    # Performance benchmarks

⚡ Performance Metrics

2-Year Backtest Results (2023-2025)

• Total Return: 1549.69%
• Annual Return: ~775%
• Win Rate: 66.2%
• Profit Factor: 2.71
• Max Drawdown: 0.72%
• Sharpe Ratio: 0.14 ( improving)

Trading Statistics

• Total Trades: 17,495
• Average Win: $21.21
• Average Loss: -$15.35
• Trade Duration: 1.0 hour
• Risk/Reward: 1.38:1

🛠️ Configuration

Basic Configuration

# config/trading.yaml
trading:
  symbol: "XAUUSD"
  timeframe: "M5"
  initial_balance: 10000
  
risk_management:
  max_risk_per_trade: 0.02
  max_positions: 3
  stop_loss_pips: 20
  take_profit_pips: 40

ai:
  model_type: "cnn_hybrid"
  retrain_interval: 7d
  confidence_threshold: 0.65

Environment Variables

# MT5 Configuration
export MT5_LOGIN="your_login"
export MT5_PASSWORD="your_password"
export MT5_SERVER="your_server"

# Database
export DATABASE_URL="sqlite:///trading.db"

# API Keys
export OPENAI_API_KEY="your_api_key"

🧪 Testing

# Run all tests
pytest

# Run with coverage
pytest --cov=spectra_killer_ai --cov-report=html

# Run specific test categories
pytest -m unit          # Unit tests only
pytest -m integration   # Integration tests
pytest -m slow          # Slow tests (skip by default)

📊 Dashboard

Launch the web dashboard for real-time monitoring:

spectra-killer dashboard

Features:

• Real-time P&L tracking
• Live signal monitoring
• Performance analytics
• Risk metrics monitoring
• Trade history analysis

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# Clone repository
git clone https://github.com/spectra-killer-ai/spectra-killer-ai.git
cd spectra-killer-ai

# Install development dependencies
pip install -e ".[dev]"

# Install pre-commit hooks
pre-commit install

# Run tests
pytest

📚 Documentation

• User Guide
• API Documentation
• Strategy Development
• Deployment Guide

🚨 Risk Warning

⚠️ IMPORTANT: Trading financial instruments involves substantial risk. This software is for educational and demonstration purposes. Past performance does not guarantee future results. Always trade with money you can afford to lose.

• Start with paper trading only
• Use small position sizes initially
• Monitor risk metrics continuously
• Never risk more than 2% per trade
• Keep emotions out of trading decisions

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• MetaTrader for providing excellent trading infrastructure
• The OpenAI team for inspiration on AI implementation
• Contributors and beta testers who helped improve this system
• The quantitative trading community for valuable insights

📞 Support

• 📧 Email: [email protected]
• 💬 Discord: Join our community
• 📖 Documentation: spectra-killer-ai.readthedocs.io
• 🐛 Issues: GitHub Issues

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Built with ❤️ by the Spectra Killer AI Team

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