e57f529d005a8912e29f460dfad76faa39526b70
- VelocityMetrics: hype_velocity/pub_velocity range -100 to +100 (was 0-1) - EventFlag: full spec Section 8.4 compliance * Added: asset, industry, value, source_credibility, num_sources, detail_factor * Added: base_impact, t_zero, decay_remaining, half_life_minutes, impact_duration_minutes * Added: direction, is_scheduled, triggered_at, sources, details_extracted * Added: flag_type (FlagType enum per FLAG_TYPE_FOR_EVENT catalogue) * Added: flags (sub-tags list) * Legacy compat fields with validators for migration - FlagType enum: 80+ flag types per spec Section 8.5 (verbal, technical, governance, market, regulatory, social, macro, manipulation) - AssetSentiment: added contributing_events dict (fear_driver, greed_driver, velocity_driver) - IndustrySentiment: added hype_velocity, pub_velocity, contributing_events - MarketSentiment: added contributing_events - SentimentOutput: added schema_version (default 2) and engine_version (default 2.0.0) - All 46 core NLP unit tests pass
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
Languages
Python
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Dockerfile
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