apilot 0.1.3

AI-Driven Qutan, Open to All

APilot - AI-Driven Quantitative Trading Platform

Overview

APilot is a high-performance quantitative trading framework focused on cryptocurrency and stock markets, developed by the AlphaPilot.tech team. The framework supports both strategy backtesting and live trading, providing a comprehensive solution for quantitative traders.

Official website: www.alphapilot.tech

Key Features

• Event-driven architecture: Built for high-performance, real-time trading systems
• Multiple trading strategies: Price Action strategies, Factor strategies (in development)
• Professional execution algorithms: BestLimit, TWAP algorithms
• Comprehensive backtesting: Accurate simulation with detailed performance analytics
• Multi-exchange support: Currently focusing on Binance, with more to come
• Live trading capability: Execute strategies in real-time with risk management
• Extensible framework: Easy to add new strategies, data sources, and exchanges

Strategy Types

• Price Action (PA) strategies: Support for trend following, mean reversion, and other classic price action strategies
• Factor strategies: Quantitative strategies based on multi-factor models (in development)

Technical Architecture

Design Principles

• Core Module: Contains all abstract interfaces and core data structures

  • Abstract base classes (BaseEngine, BaseGateway, etc.)
  • Data models (OrderData)
  • Constant definitions (Direction, Interval, etc.)
  • Basic event system

• Feature Modules: Specific implementations for different domains

  • execution/gateway/ - Exchange API implementations
  • engine/ - Specific engine implementations
  • strategy/ - Trading strategy templates and implementations
  • performance/ - Performance calculation and reporting

Installation

Quick Start

Backtesting a Strategy

Running Live Trading

Getting Started with Development

For detailed documentation on developing with APilot, please refer to our Development Guide.

Testing

# Run all tests
python -m pytest tests/

# Run specific test file
python -m pytest tests/test_bar_generator.py

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

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