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The code loads a pre-trained LSTM model to predict Bitcoin prices. It fetches historical Bitcoin price data using the yFinance library. The data is normalized and split into training and testing sets. The LSTM model is used to predict future prices based on the test data. Predictions and actual prices are visualized in Streamlit.
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