Forecast of trading signals on basic levels

Abstract

The problem of profit maximization by a stock trader The problem of profit maximization by a stock trader is analyzed by means of decision theory in this article. The term of ideal trading signals is defined and suggested for use as an output of supervised machine learning system. The testing of the approach is described for classifying linear regression model with feature space based on basic levels as an example.