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A quantitative finance project to backtest a stock-picking strategy on S&P 500 data. Clean, preprocess, and analyze financial datasets, develop trading signals, and compare performance against the market benchmark with modular Python code. Ideal for quants mastering data-driven investing!
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Merge pull request #9 from hezronokwach/2-implement-data-preprocessing-pipeline
4cd1d01View on GitHubAdd data preprocessing pipeline for stock prices and S&P 500 data
760fbeaView on GitHubMerge pull request #8 from hezronokwach/1-implement-memory-optimization-module
103c630View on GitHubAdd memory optimization module with DataFrame memory reduction functionality
75c6577View on GitHubAdd comprehensive project documentation and update gitignore
1e39dfdView on GitHub