@damage1
Deep learning models use historical price data, trading volumes, sentiment analysis, and macroeconomic indicators. They analyze patterns and correlations, but given crypto's volatility, accuracy can be challenging. Comprehensive data and constant retraining are essential for reliable predictions.
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