Investor Attention and Cryptocurrency Returns: A Machine Learning Approach

We construct novel measures of investor attention for cryptocurrency markets using social media data, search trends, and on-chain activity metrics processed through ensemble machine learning models. Our attention indices predict short-term cryptocurrency returns with significant economic magnitude, and the predictability is stronger during periods of high market uncertainty.