MACHINE LEARNING STRATEGIES FOR HEDGE FUND GAINS

The one risk-on strategy was the norm of the decade since the financial crisis bottom-fishing equity indexes. Machine learning can implement varied versions of this strategy. A hedge fund that was started in the late 1980s started absorbed a few years later went to be known as Renaissance Technologies, specializing in systematic trading with quantitative models derived from mathematical and statistical analyses. The fundamental process that machine learning deploys is a combination of computationally intensive statistical analytics subsequently with a neural-network-type branch which is basically classifiers. Over the years' hedge funds have lost billions of dollars owing to wrong analysis.