feat: model validation, calibration, and signal quality layer
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- Migration 035: prediction_snapshots, prediction_outcomes, signal_evidence_links, model_metric_snapshots tables + SQL views - Prediction snapshot writer with canonical evidence keys, duplicate detection, contribution scores - Outcome evaluator across 5 horizons (1h, 6h, 1d, 7d, 30d) - Metrics engine: ECE, Brier score, IC, Rank IC, benchmark comparison - Attribution engine: per-source, per-catalyst, per-layer performance - Calibration engine: Bayesian shrinkage source reliability - Quality gate for live trading eligibility with configurable thresholds - 7 new /api/validation/* endpoints - Upgraded OpsModel dashboard with validation tab - Enhanced recommendation display with calibration context - Backtest replay validation mode - 86 Python tests (unit + property-based), 179 frontend tests passing
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Celes Renata
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