A high-performance Python engine that detects Order Flow Imbalance (OFI) and Hidden Liquidity (Icebergs) on the Kraken BTC/USD exchange.
- Microstructure Math: Calculates OFI (Order Flow Imbalance) vectors to predict short-term price movements, distinguishing between aggressive market orders and passive limit order replenishment.
- Event-Driven Architecture: Uses
asyncioandwebsocketsto handle 50+ ticks/second without blocking. - Cloud Pipeline: buffers signals and pushes significant "Momentum Ignition" events to AWS DynamoDB and raw tick data to S3 for backtesting.
- Python: Asyncio, NumPy
- AWS: S3, DynamoDB, CloudWatch
- Math: Z-Score Dynamic Thresholding for volatility adjustment