Predictive Modeling for Risk Identification in Share Market Trading—A Multiphase Approach

Abstract

In the current age of technology, software is greatly influencing the way of human living. This effect is not limited to one sector, but present in all sectors. This effect became more acute when it came to machine learning. Currently, machine learning is not limited to one field but health, education, food, business, and many more. It must be said that machine learning technology has developed the respective fields well. Financial business is one of the leading sectors in terms of growth. In this paper, we are researching the stock market scenario. That is how machine learning can be used in the stock market. Part of that has been the use of predictive analytics here. In this work, we discussed how to estimate the stock market/share price using predictive analytics. Through this method, we are able to provide analytical information to investors, who invest in the stock market by researching and analyzing the information we have and predicting what will happen. Through this information, investors can adopt/plan a financially safe investment approach.