Jakubik, Johannes; Nazemi, Abdolreza; Geyer-Schulz, Andreas - 2021
In this paper we investigate how a deep learning machine learning model can be applied to improve Bitcoin price forecasting and trading by incorporating unstructured information from financial news. The two-stage model we propose outperforms other machine learning models significantly. In the...