Predict stock market behavior: Role of machine learning algorithms

Abstract

The prediction of a dynamic, volatile, and unpredictable stock market has been a challenging issue for the researchers over the past few years. This paper discusses stock market-related technical indicators, mathematical models, most preferred algorithms used in data science industries, analysis of various types of machine learning algorithms, and an overall summary of solutions. This paper is an attempt to perform the analysis of various issues pertaining to dynamic stock market prediction, based on the fact that minimization of stock market investment risk is strongly correlated to minimization of forecasting errors.