Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
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# AI-Trader [](https://www.python.org/downloads/) [](LICENSE) [中文版說明 (Chinese Subpage)](README_zh.md) A professional, config-driven backtesting framework for algorithmic trading, built on Backtrader. Seamlessly test, optimize, and integrate trading strategies with Large Language Models (LLMs) across stocks, crypto, and forex markets.  ## Key Features - **Config-Driven Workflows**: Define and manage backtests with version-controllable YAML files for reproducible results. - **Seamless LLM Integration**: Built-in MCP (Model Context Protocol) server allows AI assistants like Claude to run backtests, fetch data, and analyze strategies. - **Multi-Market Support**: Test strategies on US stocks, Taiwan stocks, cryptocurrencies, and forex. - **Extensive Strategy Library**: Comes with over 20 built-in strategies, from classic indicators to advanced adaptive models. - **Powerful CLI**: A rich command-line interface to run backtests, fetch market data, and list strategies. - **Developer Friendly**: Easily create and test custom strategies with simple helpers and a clear structure. ## Quick Start **1. Installation** **Option A: Install from PyPI (Recommended for using the CLI)** ```bash pip install ai-trader ``` Use this if you want to: - Use the CLI commands: `ai-trader run`, `ai-trader fetch`, `ai-trader quick` - Run backtests on your own data files - Use as a library in your Python projects **Option B: Install from Source (Recommended for examples and config templates)** ```bash git clone https://github.com/whchien/ai-trader.git cd ai-trader pip install -e . ``` Use this if you want to: - Run the config-based examples in `config/backtest/` - Use the example data files in `data/` - Run the example scripts in `scripts/examples/` - Contribute or customize strategies *(Poetry users can run `poetry install`)* **2. R…
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