Enhancing Bitcoin Forecasting with Differential Machine Learning and Twin Networks in R
This study explores Differential Machine Learning (DML) techniques, leveraging Twin Networks to improve Bitcoin forecasting by integrating volatility proxies. The approach aims to advance predictive accuracy in financial markets through sophisticated modeling strategies.