Backtest
Turn a market hypothesis into code and evaluate its behavior against historical data with clear entry, exit, and performance signals.
02 · Open source Python
Boatwright streamlines the research and development of investment strategies in one Python workflow. Backtest ideas against historical data, use powerful parameter-scanning tools to find robust configurations, and move seamlessly from validated research to live automated deployment.
The research loop
Develop, validate, and refine a strategy before carrying the same workflow into live portfolio deployment.
Turn a market hypothesis into code and evaluate its behavior against historical data with clear entry, exit, and performance signals.
Scan parameter combinations, compare outcomes, and identify robust configurations without losing sight of the strategy’s underlying logic.
Move a validated strategy into live automated trading and apply it consistently across a diversified portfolio of stocks.