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edge-strategy-reviewerlisted

Critically review strategy drafts from edge-strategy-designer for edge plausibility, overfitting risk, sample size adequacy, and execution realism. Use when strategy_drafts/*.yaml exists and needs quality gate before pipeline export. Outputs PASS/REVISE/REJECT verdicts with confidence scores.
Serennity007/claude-trading-skills · ★ 0 · Code & Development · score 70
Install: claude install-skill Serennity007/claude-trading-skills
# Edge Strategy Reviewer Deterministic quality gate for strategy drafts produced by `edge-strategy-designer`. ## When to Use - After `edge-strategy-designer` generates `strategy_drafts/*.yaml` - Before exporting drafts to `edge-candidate-agent` via the pipeline - When manually validating a draft strategy for edge plausibility ## Prerequisites - Strategy draft YAML files (output of `edge-strategy-designer`) - Python 3.10+ with PyYAML ## Workflow 1. Load draft YAML files from `--drafts-dir` or a single `--draft` file 2. Evaluate each draft against 8 criteria (C1-C8) with weighted scoring 3. Compute confidence score (weighted average of all criteria) 4. Determine verdict: PASS / REVISE / REJECT 5. Assess export eligibility (PASS + export_ready_v1 + exportable family) 6. Write review output (YAML or JSON) and optional markdown summary ## Review Criteria | # | Criterion | Weight | Key Checks | |---|-----------|--------|------------| | C1 | Edge Plausibility | 20 | Thesis quality, domain terms, mechanism keywords (continuous 50-95) | | C2 | Overfitting Risk | 20 | 5-tier filter count scoring (90/80/60/40/10), precise threshold penalty | | C3 | Sample Adequacy | 15 | Continuous scoring from estimated annual opportunities (10-95) | | C4 | Regime Dependency | 10 | Cross-regime validation | | C5 | Exit Calibration | 10 | Stop-loss, reward-to-risk | | C6 | Risk Concentration | 10 | Position sizing limits | | C7 | Execution Realism | 10 | Volume filter, export consistency | | C8