walk-forward

Walk-forward validation tests strategy edge persistence out-of-sample by executing backtest runs against the Udgaard API. It applies in-sample and out-of-sample splits across various cadences and window configurations to verify robustness before live trading.

Walk-forward edge validation is a backtesting process that determines whether a trading strategy maintains its edge on unseen out-of-sample data. You need it to ensure strategy robustness and prevent overfitting before deploying to live trading environments.

Yes, walk-forward validation supports various cadences and window configurations for backtesting. You can apply custom in-sample and out-of-sample splits along with optional ranking and size parameters to tailor the edge validation to your specific strategy design.

Walk-forward backtest results are saved locally for review after orchestration. A dedicated walk-forward-analyst sub-agent delegates interpretation to generate per-window insights, a final verdict, and recommended next steps for decision making.

Walk-forward validation orchestrates API calls specifically to the Udgaard backtest endpoint and delegates analysis to a walk-forward-analyst. You need access to the Udgaard platform to execute the out-of-sample edge verification runs.

The best way to validate out-of-sample robustness is walk-forward validation, which coordinates multiple backtest runs across different windows. This automated orchestration collates results and leverages analyst delegation to generate a clear verdict with recommended next steps.