STOCK PRICE TREND FORECASTING USING SUPERVISED LEARNING METHODS

Abstract

One of the objectives of the research is to investigate a range of forecasting approaches for projecting future stock returns based on prior returns and numerical news indicators in order to construct a portfolio of various shares and diversify risk. We do this by gaining a grasp of the apparently chaotic market data via the use of supervised learning algorithms for stock price forecasts.