Machine Learning Models for Financial Applications

Stock market is the aggregation of purchasers and venders of stocks and it represents ownership claims on businesses. The purpose of predicting stock market is to anticipate the price value and direction of stock. Higher profits will investors can made by higher accuracy prediction are gotten and here is one of the most challenging issues is predicting how the stock market will move. In this paper we are going to predict the value of the close price for the stock market and that by using Long-short term memory (LSTM) neural network and also predict the direction of the stock market by using neural network (ANN) and after that will compare the results of performance that we obtained with other papers used same dataset.