Surpriver is a stock analysis tool that leverages machine learning and anomaly detection algorithms to analyze volume and price data, identifying unusual patterns that precede significant stock movements. The system uses feature generation with technical indicators and detection engines to surface stocks with atypical trading behavior. It relies on scikit-learn, scipy, pandas, and yfinance for data processing and model inference.