Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
for each asset. Preprocess the data (scaling, feature engineering). Make predictions using your loaded model (model.predict). Apply your backtesting strategy (similar to previous examples) incorporating predictions and potentially technical indicators. Store backtesting results for each asset.