A Novel Approach to Stock Market Analysis and Prediction Using Data Analytics

Stock market is one of the most versatile sectors in the financial system. Historically, stock market movements have been highly unpredictable as there are many factors that affect it. Immense research about financial history, as well as the current trends, must be done before thinking of investing in a particular company. For the prospective buyer to get a better sense of future, predictive models of machine learning can be used to predict whether the stocks will go high or low and how much. While no one can say with certainty that a stock will go up in value, taking the time to evaluate the past few years of the company’s growth can give some insight into the possibility. Employing traditional methods like fundamental and technical analysis may not ensure the reliability of the prediction. In this paper, we attempt to take financial historic data for the stock and try to get more detailed insights and derive parameters that we will use to predict the stock behavior.