Stock Market Prediction Using Deep Learning LSTM Model

Abstract

Stock market is well known to all. It is an option for investment and trading. But it is a really difficult thing to predict the future stock price. It is helpful for the investors and traders to know the future price, so that they can enter and exit the market at the right time and right price. Although there are different methods to predict future price, new algorithms and deep learning performed quite well in this. In this paper Long Short Term Memory (LSTM) is used to predict stock price and here we studied the implications of epochs and batch size in the model.