Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
performed hyper-optimization of the classifier model. Subsequently, we evaluated if the model performed better with other classifier models such as SVC, CatBoost, and LightGBM, in combination with LSTM and XGBoost. Finally, we concluded by analyzing the results and determining feature importance