Backtest Evaluator

Evaluate a saved analysis run for: $ARGUMENTS

Overview

Implementation status: code-backed
Local entry script: <bundle-root>/backtest-evaluator/run.py
Primary purpose: compare a saved run's action and price framing with later market behavior, or run a deterministic strategy simulation over local data, with explicit evaluation assumptions and realism limits
Research layer: retrospective evaluation for process improvement, not forward-looking approval or predictive proof
Workflow stage: stage 5 Backtesting & Retrospective Evaluation
Local executor guarantee: evaluate a saved state against later price data or run the configured deterministic strategy simulation and persist backtest artifacts

The user wants retrospective signal review tied to a saved analysis or market-brief artifact.
The caller has a saved state.json and wants to see how that view behaved over the next holding window.
The user wants a deterministic strategy simulation over local CSV or fetched data with saved backtest artifacts.
The user wants to improve research process discipline through systematic review of prior decisions.