Use cases of ML for trading
Case Use cases of ML for trading defi, dao and financial engineering ML extracts signals from a wide range of market, fundamental, and alternative data, and can be applied at…
The emergence of quantamental funds
Two distinct approaches have evolved in active investment management: systematic (or quant) and discretionary investing. Systematic approaches rely on algorithms for a repeatable and data-driven approach to identify investment opportunities…
The rise of ML in the investment industry
The investment industry has evolved dramatically over the last several decades and continues to do so amid increased competition, technological advances, and a challenging economic environment. This section reviews key…