ai-trader MCP Server
whchien/ai-trader
[](https://agentrank-ai.com/tool/whchien--ai-trader/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
whchien/ai-trader is a Python MCP server licensed under GPL-3.0. Backtrader-powered backtesting framework for algorithmic trading, featuring 20+ strategies, multi-market support, CLI tools, and an integrated MCP server for professional traders. Topics: ai, algorithmic-trading, backtrader, portfolio-management, stock-price-prediction, trading, ai-agents, cli, mcp, mcp-server, quantitative-finance.
Ranked #22863 out of 24846 indexed tools.
Has 1,107 GitHub stars.
Ecosystem
Score Breakdown
1,107 stars → well-known project
Last commit 7mo ago → stale
4/11 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
# AI-Trader [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 withRead full README on GitHub →
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