@jinishchunked
When using deep learning to predict crypto prices, essential data includes historical price and volume, order book depth, market sentiment (social media, news), blockchain on-chain metrics, macroeconomic indicators, and derivatives market data. High-quality, diverse datasets significantly improve model accuracy and robustness.
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