7ad123c4c12b240b60e30572eb2b365e58bf2a3d
Item 5 — PerformanceMatrix manifold: RegimeStrategyScore: added confidence, support_count, distance_to_nearest record() populates confidence from episode count (more evidence = more confidence) Item 6 — ActualsLoader: ActualsSnapshot: 12-field frozen dataclass for live market data ActualsLoader: reads CH tables (obf_universe, exf_data, maras_fingerprint, etc.) Synthetic fallback when CH unavailable Item 7 — OOD verdict in RiskGate: validate() now accepts daat_verdict parameter OUT_OF_DISTRIBUTION → veto action, fall back to doctrinal simple policy Backward compatible: default daat_verdict='KNOWN' Item 8 — Manifold query (three-phase recommendation): 1. DAAT classify live state (KNOWN/MARGINAL/OOD) 2. If KNOWN: find nearest regime in PerformanceMatrix → best strategy 3. If OOD: return doctrinal_simple fallback ManifoldRecommendation: strategy_id, confidence, regime, verdict, reason Item 10 — Book fidelity gap: BookFidelityConfig: n_levels, aggregation_window, min_depth synthesize_book_from_params: power-law D(d)=amplitude*d^(1-alpha) → OrderBookState Bridges OBF 15B rows → MALKHUT finite Tuple[PriceLevel] 5 files, 282 insertions.
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
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Python
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