Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
(preventing overfitting). The number of units in each layer (units, 96, 48, 12) defines the model's complexity. Output Layer: A dense layer with 3 units and softmax activation for predicting probabilities of the three classes (neutral, long, short). Compiles the model with Adam optimizer, sparse