strategy-verification

Verify backtesting results by cross-checking score outputs, data-quality reports, and tear sheets against raw data. This process detects replay artifacts and statistical tricks to confirm performance is real before go-live.

Strategy verification confirms that reported performance traces to verifiable data without inflated artifacts. You need it after scoring runs and before promotion decisions, or during autoresearch loops to filter noise from signal.

Check replay integrity by running determinism checks to ensure outputs are reproducible and not inflated by time-travel or synthetic depth. Data-quality checks verify input data integrity to prevent replay artifacts from skewing results.

Monitor scorer and live execution drift by running cross-checks to catch divergences and regime shifts. Post-score drift checks compare scorer outputs against live data to identify performance inconsistencies over time.

Yes, integrate tear sheets to assess statistical confidence by evaluating evidence grade, edge margin, sample adequacy, and recovery burden. This interpretation helps determine if the strategy edge is statistically significant.

A structured verification report includes a clear verdict on performance reality and actionable self-flags for ongoing governance. It synthesizes score outputs, data-quality checks, and statistical interpretations into actionable insights.