Nikita Aull Nikita Aull

Spot Signal Emitter

Python WebSocket Docker pandas matplotlib
Released

A real-time anomaly detection system that monitors trading activity across 6 cryptocurrency exchanges and sends alerts via Telegram when significant price movements or volume anomalies are detected.

Supported Exchanges

Binance, Bybit, Bitget, OKX, KuCoin, Kraken. Both spot and futures markets.

Detection Algorithms

  • Price movement
  • Volume anomalies
  • Density-based detection

Architecture

Multi-threaded pipeline: WebSocket data ingestion, trade processing, DataFrame storage with multi-index, parallel detector analysis, and Telegram alerting with mplfinance charts.

BTC volatility filter suppresses noise during high-volatility periods.

Deployment

Dockerized with 12 service containers (one per exchange/market pair).