{"id":"ai-trader","name":"AI Trader","homepage":"https://github.com/whchien/ai-trader","repo_url":"https://github.com/whchien/ai-trader","category":"finance","subcategories":["backtesting","algorithmic-trading"],"tags":["backtrader","trading","backtesting","stocks","crypto","forex","mcp","yaml-config","cli"],"what_it_does":"Config-driven backtesting framework for algorithmic trading built on Backtrader, with an integrated MCP server that lets LLMs run and analyze backtests across stocks, crypto, and forex.","use_cases":["Backtest trading strategies via YAML configs or natural language through Claude","Fetch historical market data for US stocks, Taiwan stocks, crypto, and forex","Compare and optimize 20+ built-in trading strategies","Develop and test custom strategies with LLM assistance"],"not_for":["Live/paper trading execution (backtesting only)","Real-time market data streaming","Portfolio management or brokerage integration"],"best_when":"You want an LLM-assisted workflow for designing, running, and analyzing backtests without writing boilerplate code.","avoid_when":"You need live trading execution, real-time data feeds, or brokerage API integration. Use alpaca-mcp-server instead for actual trading.","alternatives":["alpaca-mcp-server","backtrader (standalone)","zipline","vectorbt"],"af_score":56.8,"security_score":50.0,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"0.3.3","last_evaluated":"2026-03-01T09:50:05.200963+00:00","performance":{"latency_p50_ms":null,"latency_p99_ms":null,"uptime_sla_percent":null,"rate_limits":null,"data_source":"llm_estimated","measured_on":null}}