| October 1, 2019
Project Overview
Litterature about machine learning applied to automated trading most often reports results using a very crude metric: the sheer accuracy of the up/down prediction. Such a metric cannot guarantee at all an actual performance. The goal of this project is to investigate if it is possible to build a metric which would better reflect the results of backtesting.
** Key contributions **