01Supports direct integration via Python API for custom scripting, bypassing the need for an AI agent.
02Conduct historical strategy backtesting with a rebalance-loop engine, providing CAGR, Sharpe ratio, max drawdown, equity curves, and trade logs.
03Decompose strategy returns into Fama-French factors (market, size, value, momentum) to determine alpha, factor loadings, and R-squared.
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05Perform stock screening across major indices (S&P 500, Nasdaq 100, Russell 2000) using fundamental, momentum, quality, technical, or multi-factor criteria.
06Utilizes real, publicly available market data (Yahoo Finance, Kenneth French Data Library) with local caching for rapid execution and no API keys required.
