9d0ca7f04fb14eb5cc5edad8d5ead89cd2bfbc32
- EventFlag: full spec Section 8.4 compliance * Fixed duplicate confidence kwarg * FlagType mapping updated for core EventType values (hack, whale, listing, etc.) - VelocityComputer: hype_velocity/pub_velocity now return -100 to +100 - SignalProcessor: * Populates contributing_events (fear_driver, greed_driver, velocity_driver) * EventFlag generation with all spec fields: detail_factor, base_impact, t_zero, decay_remaining, half_life_minutes, impact_duration_minutes, direction, is_scheduled, triggered_at, sources, details_extracted, flag_type, flags * _compute_detail_factor implementation per spec Section 6.1 * _map_event_to_flag_type covers core EventType values - ProcessedItem: added raw_text field (required for detail_factor) - NLP pipeline: passes raw_text when creating ProcessedItem - ScoringEngine: populates contributing_events at market/industry levels - All 46 core NLP unit tests pass - All 19 core crypto semantic tests + 6 calibration scenarios pass - Full pipeline integration test runs successfully with real e5-large-v2 encoder
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
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