Stock Scanner and Rules Engine

The Stock Scanner and Rules Engine is a highly efficient and automated Python-based solution designed to identify promising stock opportunities within the Russell 1000 index. It fetches and processes stock data daily (~6,500 tickers) from Yahoo Finance and applies advanced filtering criteria, such as RSI, MACD, volume, and price trends, to identify top-performing stocks while filtering out unqualified ones. The results are enriched with additional insights like industry classification, stored in MongoDB for future analysis, and shared via Discord for real-time investor updates.

This project showcases my expertise in data processing pipelines, concurrent programming for high-speed analysis, and integrating APIs and databases for near real-time actionable insights.