Crypto Data Analysis
Python
pandas
scikit-learn
mplfinance
ClickHouse
ReleasedA quantitative analysis system for cryptocurrency markets focused on detecting trading anomalies from Binance data.
Analysis Modules
- Walls detector - identifies large orders and imbalances in the order book
- Strike detector - detects rapid price spikes (>8% in milliseconds)
- Feature extraction - linear regression analysis, price noise and fluctuation metrics
- Imbalance analysis - order book bid/ask imbalance detection
- Support levels - automatic identification of significant price levels
Data Pipeline
Downloads OHLC and aggregated trade data from Binance REST API. Multi-threaded processing across 1m, 5m, 1h timeframes. ClickHouse integration for large-scale historical analysis.
Visualization
Candlestick charts via mplfinance. Level and strike markers overlay. Jupyter notebooks for interactive exploration.