A Survey on Stock Market Prediction Techniques

The stock market is a meeting point for buyers and sellers to buy and sell stocks. Stock price depends on local and global events. It has a dynamic, non-stationary nature. Thus, it is exceedingly challenging to make accurate stock price predictions. If we can predict the stock prices accurately, it will be helpful for investors. Many researches are going on in this area. Machine learning and deep learning methodologies are used for stock prediction. In this paper, a survey of different stock prediction techniques is done. Additionally, an approach that can give more accurate predictions than the techniques examined is suggested.