Axiom Market Matrix is an advanced algorithmic trading system that combines mathematical models with real-time market analysis. This platform implements sophisticated trading strategies across multiple asset classes including stocks, cryptocurrencies, and commodities.

• Multi-Asset Support: Trade stocks, cryptocurrencies, and commodities from a unified platform
• Advanced Technical Analysis: 50+ technical indicators including RSI, MACD, Bollinger Bands, and custom composite signals
• Machine Learning Integration: Predictive models for price movement and volatility forecasting
• Risk Management: Comprehensive risk controls with position sizing, stop-loss automation, and portfolio optimization
• Real-time Data Processing: WebSocket connections for live market data with sub-second latency
• Backtesting Engine: Historical performance analysis with detailed metrics and visualization
• Paper Trading: Test strategies in a simulated environment before deploying real capital
• Docker Deployment: Containerized architecture for easy deployment and scaling

The system is built on a modular architecture with the following components:

• Data Layer: Market data acquisition and storage
• Analysis Engine: Technical indicators and signal generation
• Strategy Module: Trading logic implementation and execution
• Risk Manager: Position monitoring and risk control
• Execution Layer: Order routing and trade execution
• Dashboard: Real-time monitoring and control interface

• Backend: Python 3.11+
• Data Processing: pandas, numpy, scipy
• Machine Learning: scikit-learn, TensorFlow
• Market Data: Alpha Vantage, Binance API, polygon.io
• Database: PostgreSQL, Redis
• Containerization: Docker, Docker Compose
• Web Framework: FastAPI
• Frontend: React, Plotly.js

• Docker and Docker Compose
• API keys for market data providers (Alpha Vantage, Binance, etc.)

# Clone the repository
git clone https://github.com/AXI0MH1VE/Axiom-Market-Matrix.git
cd Axiom-Market-Matrix

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys and configuration

# Build and start services
docker-compose up -d

# Access the dashboard
# Open http://localhost:8000 in your browser

Edit the .env file to configure:

• API keys for market data providers
• Database credentials
• Trading parameters
• Risk management settings

python -m src.backtesting.runner --strategy momentum --start 2023-01-01 --end 2024-01-01

python -m src.trading.live_trader --mode paper  # Paper trading
python -m src.trading.live_trader --mode live   # Live trading (use with caution)

Access the web dashboard at http://localhost:8000 for:

• Real-time position monitoring
• Performance analytics
• Trade history
• Risk metrics

Create custom strategies by extending the base strategy class:

from src.strategies.base import BaseStrategy

class MyStrategy(BaseStrategy):
    def generate_signals(self, data):
        # Implement your trading logic
        pass

See STRATEGY.md for detailed guidelines on strategy development.

IMPORTANT: Trading financial instruments carries significant risk. This software is provided for educational and research purposes. Always test strategies thoroughly in paper trading mode before using real capital. Past performance does not guarantee future results.

• Strategy Development Guide
• Core Principles
• Deployment Guide

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

Contributions are welcome! Please read our contributing guidelines before submitting pull requests.

For issues and questions:

• Open an issue on GitHub
• Check existing documentation
• Review closed issues for solutions

This software is for educational purposes only. Use at your own risk. The authors and contributors are not responsible for any financial losses incurred through the use of this software.