This project predicts Chevron's (CVX) stock prices using historical data (2000-2024) and models like ARIMA, Decision Trees, Random Forest, XGBoost, and LSTM. Data preprocessing includes normalization and handling missing values. The models are evaluated for short-term and long-term forecasting, with an emphasis on mitigating data leakage.
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Install dependencies:
pip install -r requirements.txt
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Run the prediction script:
python predict_days/predict.py