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A machine learning project that uses Random Forest and XGBoost models to predict the short-term rise/fall direction of the S&P 500 index, combining technical indicator feature engineering to provide data support for intraday trading decisions.
Section 01
A machine learning project that uses Random Forest and XGBoost models to predict the short-term rise/fall direction of the S&P 500 index, combining technical indicator feature engineering to provide data support for intraday trading decisions.
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