Topology-aware and interpretable cryptocurrency price forecasting via visibility graphs and ensemble models
This study introduces a robust network-oriented framework for forecasting cryptocurrency price dynamics, leveraging visibility graph-based reconstructions to capture temporal structures and dependencies in market data and uses Local Interpretable Model-agnostic Explanations (LIME) to reveal how key network metrics driv...