Advanced Analysis of Stock Market Prediction

Abstract

Financial markets are fascinating Stock markets as the most rewarding career. Financial markets are producing vast amount of information when they go a long period. By using the data sets generated and recorded at the stock market will help us to analyze how many traders had made an decision to buy and sell, based on price and time. Three broad companies explaining about three different machine learning moral data and then comparing the results to see the best predictive of stock market production for future price.  Thinking about the process of creating an investment strategy on deciding to make an investment in each, to figure out company most likely Google, Apple and Tesla which gives big returns. Generally research on companies history, and  news in websites of company and its articles help to analyze fares over years and ensure price movement over time as shown in below figure .Mostly 80 percent trading volume of stock market is generated by algorithms. It explains about high frequency trading algorithm and also about prediction of the stock market . These algorithms usually use very simple methods like Rule based methods, linear regression and logistic regression model Prediction of stock market is most important is deep learning.