To Avoid Danger, Proper Framework Needed For Machine Learning Investing Systems

When Marcos Lopez De Prado looks at the world of quantitative investing, he sees so many mistakes. The renowned Ph.D., quantitative analysts, and author of the book Advances in Financial Machine Learning, observe fellow Ph.D. quants and consider a misallocation of resources. The quantitative framework many institutional investors use to bring intelligent investment applications aboard often doesn’t understand the realities of developing a secure system. Relying on math-based quants who don’t understand market structure misses the point, too. At the Futures Industry Association (FIA) winter meeting in Boca Raton, Florida, top industry executives were polled on what they thought would be…