Built a comprehensive real-time trading alert system using Polygon WebSocket API to monitor penny stocks ($2-$20, market cap <$1B, excluding OTC). The system features a dual-layer architecture: backend WebSocket connection to Polygon API handles authentication, subscription management, and data filtering, while frontend receives processed data via Server-Sent Events (SSE) for optimal performance. Key features include: automatic surge detection with customizable thresholds, TPS (Trades Per Second) analysis for momentum tracking, uptick pattern recognition, browser/audio notifications, health monitoring with auto-reconnection, and memory-optimized data processing with batch updates (10ms intervals). The system processes thousands of stock updates per second with minimal latency, providing instant alerts for potential breakout opportunities.
Developed a real-time news crawling system that monitors and extracts stock-relevant information including M&A announcements, earnings reports, regulatory filings, and other market-moving news. The system uses web scraping technologies to gather data from financial news sources, parses content for stock tickers and impact indicators, and processes the information to identify potential price-moving events. Features include automated content filtering, sentiment analysis, and real-time alert generation for traders and investors.