Machine Learning, Deep Learning, Cryptocurrency Investment, Algorithmic Trading, Neural Networks.
Considerations: Data Requirements: Transformers often require a large amount of training data to learn effectively. If your dataset is limited, consider using simpler models or techniques like LSTMs (Long Short-Term Memory) that might perform well with less data. Computational Cost: Training