A Multi-Scale Transformer Architecture for Cardano Price Forecasting with Retrieval-Augmented Context

Forecasting cryptocurrency prices has been a challenge due to their high volatility, non-stationary and regime-dependent dynamics. Recent advances in deep learning, particular Transformer architectures, have shown their superiority in time series forecasting by leveraging self-attention to capture l