ESTIMATING SECURITIES EXCHANGE UTILIZING PROFOUND NEURAL NETWORKS

Abstract

Forecasting and analyzing stock market plays a vital role in today’s economy. If we could forecast the stock market, we can increase our return on investment and decrease our risk factor, while investing in the stock market. In this work, we have created a deep learning model to predict the next day’s closing price from today’s closing price. This model uses LSTM of RNN in DNN of deep learning. We have done the technical analysis, using 498 days of historical data of Sensex as input, which was obtained from yahoo finance. The network created is a 4 layered network. We have trained the network and tested it for 50 days and the RMSE is found to be 267.5351. Deploying our deep learning model, to predict the closing price of stock market will increase the return on investment.