Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
class_weight=class_weights) model_transformer.fit(X_train, y_train, epochs=50, batch_size=18, validation_split=0.2, verbose=1) This code defines and trains a Transformer-based model for classifying ETH price movements into three categories: neutral (0), long (1), and short (2). Here’s a breakdown: