What it takes to build crypto quant multifactor models and market-neutral strategies.
Why automation beats emotional decision-making.
How systematic crypto trading systems can do the work for you, how quant models can adapt dynamically, and how investors spend less time watching charts and more time living their lives.
How alternative data such as website visits, search trends, and app usage could be used to seek to predict company performance ahead of Wall Street analysts
How machine learning turns this data into real trading signals, and
How to construct portfolios - long, hedged, and market-neutral - based on these insights.