This project implements a complete, systematic quantitative investment framework designed to identify and select stocks from the NIFTY 50 Index or any index. It establishes a full ETL (Extract, ...
This project is a complete Python-based backtester for a statistical arbitrage (pairs trading) strategy. It analyzes a pair of historically correlated stocks (e.g., Coca-Cola vs. Pepsi) to identify ...
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