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AiStockPricePerdiction

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This project uses machine learning to predict S&P 500 index movements through historical data analysis. Using a Random Forest Classifier, the model achieves 57% accuracy in predicting market upswings, outperforming the baseline market behavior.

Creat2024-12-31T05:30:06
Update2025-02-12T13:48:48
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