An intelligent indian stock market forecasting system using LSTM deep learning

<p><span>Stock market data is considered to be one of the chaotic in nature. Analyzing stock and predicting has been area interest among researchers for a long time. In this paper, we have stepped forward used deep learning algorithm with classification predict behavior market. LSTM an optimization formulate hyperparameters. To further improve accuracy prediction first given reduce number input parameters. research Technical indicators are subjected which both integrated prediction. Deep hyperparameters trained using algorithm. paper infosys zensar stocks collected from Indian i.e. national exchange (NSE) bombay (BSE). The proposed approach applied on share values, obtained by employing prominent value MSE RMSE as 1.034 1.002 respectively. </span></p>