%0 Journal Article %A Marcos López de Prado %T The 10 Reasons Most Machine Learning Funds Fail %D 2018 %R 10.3905/jpm.2018.44.6.120 %J The Journal of Portfolio Management %P 120-133 %V 44 %N 6 %X The rate of failure in quantitative finance is high, particularly in financial machine learning applications. The few managers who succeed amass a large amount of assets and deliver consistently exceptional performance to their investors. However, that is a rare outcome, for reasons that the author explains in this article. In the author's experience, 10 critical mistakes underlie those failures.TOPIC: Big data/machine learning %U https://jpm.pm-research.com/content/iijpormgmt/44/6/120.full.pdf