Codex e6ecbfa2a6 feat: cross-source intelligence + bot detection + velocity EMA
- MultiSourceFusion: cross-source intelligence per spec Section 6.4-6.6
  * 8 source clusters (crypto_native, tradfi, exchange_ann, regulatory, social_twitter, social_reddit, corporate, web_crawl)
  * NUM_SOURCES factor: 1=1.0x, 2=1.5x, 3=2.0x, 4+=2.5x + cross-cluster bonus (+0.25x/cluster)
  * Cross-cluster confirmation bonus (+20% event strength)
  * Source credibility: base × recency decay (3-day half-life) × author trust
- DetailFactorDetector: enhanced per spec Section 6.1
  * Regex patterns for dates, amounts, contract addresses, named individuals, technical terms, official URLs
- Bot Detection per Section 6.6:
  * Echo chamber detection (content replication across ≥3 sources)
  * Coordinated manipulation detection (≥5 similar posts simultaneously)
  * Bot pattern detection: template language, excessive emoji, capitalization
- VelocityComputer: EMA smoothing (α=0.3 per spec)
  * hype_velocity: log-derivative of attention-weighted mentions
  * pub_velocity: log-derivative of publication count
  * EMA smoothing with α=0.3 per spec
- All 46 core NLP tests pass
2026-09-18 01:51:33 +02:00
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
7.8 MiB
Languages
Python 99.9%
Dockerfile 0.1%