This quantitative trading toolkit gives Claude direct access to 900+ financial data columns across 80+ tables, a backtesting engine via the sim() API, and 60+ ready to use strategy examples. You can ask Claude to explore factor data, backtest trading ideas with custom resampling and metrics, or adapt ML reference patterns for feature engineering. The included documentation covers everything from data schema to anti-patterns, so Claude can help you prototype strategies without constantly context switching to docs. Reach for this when you want to iterate on quant ideas conversationally rather than writing boilerplate backtest code from scratch.