An Analysis of Prediction Techniques for Stock Market

Stock Market is highly volatile market as there are buyers and sellers that try to determine the true price of the stock of a given company by buying and selling the stocks. This is done using Technical Analysis and Fundamental Analysis of the company. In today?s era of digitization, we are not only using technology to view the stock price but also to determine the future move of that stock. In this paper we present a literature survey of the different techniques/models we found and compared, that determine the future price of the stock. Artificial Neural Network, Deep Learning, Machine Learning are some of the Techniques and models like ARIMA, LSTM, Linear Regression to name a few. We did a comparative study of the achievements and challenges of each model and towards the end we conclude with a model with highest Accuracy.