Backtest Doctor

Backtest Doctor is a focused audit and debugging tool for supported Python backtest records.

It checks accounting, fees, costs, data consistency, and record integrity, then traces discrepancies back to the supporting records. When an issue is found, it can generate explicit repair candidates and compare the results before and after the proposed fix without silently overwriting the original evidence.

Built for quantitative researchers, trading-system developers, and AI-assisted research workflows that need reproducible backtest validation.

Backtest Doctor does not execute live trades, generate trading strategies, predict profits, or attempt to repair arbitrary Python projects.
• Audit backtest records for accounting, fee, cost, and consistency issues

• Detect discrepancies and trace them back to supporting records

• Run preflight checks before analysis begins

• Support explicit column mapping for compatible input records

• Generate evidence-backed repair candidates without silently changing original data

• Compare before-and-after results for proposed repairs

• Preserve original inputs and audit artifacts for reproducible review

• Verify output bundles and detect modified or tampered records

• Reject unsupported symbolic-link inputs before processing

• Provide CLI-based workflows for repeatable validation