Helformer: an attention-based deep learning model for cryptocurrency price forecasting
Traditional forecasting models often fail to capture the nonlinear, nonstationary nature of crypto markets, where prices swing dramatically based on factors like market sentiment, regulatory news, and macroeconomic trends. This work develops a Helformer, a new variant of Transformer architecture.
