943b3ef98533bf0b0e81d3ab41adcdf086781642
Comprehensive OB study compiled from live Binance/BingX data + academic literature (Bouchaud, Cont/Stoikov, Cartea/Jaimungal): 1. Depth power-law decay: D(d) = A * d^(1-alpha), per-asset params 2. Spread profiles: normal + stress multipliers for all 13 assets 3. Order flow: arrival rates, cancel/fill ratios, size distributions 4. Market maker behavior: inventory limits, pull speed, margins 5. Volatility regimes: GARCH params, half-lives, crisis multipliers 6. Intraday patterns: peak/trough hours, session analysis 7. Cross-asset correlations: normal vs crash behavior 8. BingX-specific: spread/depth/latency/fees vs Binance ratios 9. Book fragility & cascade dynamics: flash crash anatomy 10. Retail vs institutional composition 11. Funding rates: per-asset means, std, positive% 12. Expected slippage model
Description
Sentiment analysis engine with ONNX FinBERT + LoRA adapters
Languages
Python
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Dockerfile
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