backtest-evaluator
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
Use When
- The user wants retrospective signal review tied to a saved
analysisormarket-briefartifact. - The caller has a saved
state.jsonand 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.
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