Case Study: Using Machine Learning for Portfolio Management

In a recent blog post, Nomics announced the release of its 7-day crypto price predictions. Their predictions use a long short-term memory (LSTM) machine learning model. Although the 7-day predictions are still in beta, we were excited to see the development of new strategies for price analysis. This excitement got us questioning how an ML-based portfolio strategy would perform over the course of a few months. To answer that question, we are putting together a study that will benchmark the performance of an ML-based strategy against other strategies like market-cap indexes, holding Bitcoin, and score-based allocations.