- Implemented a data pipeline for quantitative trading covering: - Price adjustment for corporate actions (splits & dividends) - Calculation of simple and log returns - Handling of multi-stock panels and missing values - Outlier detection and treatment methods (Z-score, MAD, Winsorize) - Trading calendar creation and cross-market alignment - End-to-end DataPipeline class for data cleaning and analysis - Included visualizations for price adjustments, return comparisons, and missing value handling - Added detailed comments and documentation in Chinese for clarity |
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| README.md | ||
| pipeline.py | ||
| quant_data_pipeline_demo.py | ||
| requirements.txt | ||