Feed-Forward Deep Learning Model for Data Analysis and Prediction
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2018 by IJCTT Journal|
|Year of Publication : 2018|
|Authors : Er.Hari K.C, Er.Rammani Adhikari, Er.Sharan Thapa|
|DOI : 10.14445/22312803/IJCTT-V63P102|
MLA Style: Er.Hari K.C, Er.Rammani Adhikari, Er.Sharan Thapa "Feed-Forward Deep Learning Model for Data Analysis and Prediction" International Journal of Computer Trends and Technology 63.1 (2018): 8-10.
APA Style:Er.Hari K.C, Er.Rammani Adhikari, Er.Sharan Thapa (2018).Feed-Forward Deep Learning Model for Data Analysis and Prediction. International Journal of Computer Trends and Technology, 63(1), 8-10.
Stock Market is a volatile market. Predicting the behaviour of stock is a difficult and challenging task. Investor from different sectors invests the money in stock market for the sake of high return but involves high risk. Feed forward deep learning model can be helpful to minimize the certain risk process by forecasting the behaviour of market by analyzing the data from previous years. The stock price of the company is analyzed to view the future behaviour and price using the neural network. The factors taken are maximum price, closing price and minimum price of stock. Forecasting the stock price using deep learning model is a new concept in the stock market of Nepal. It will surely motivate investors and traders to invest their money with less risk and high returns.
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Deep learning, Neural network, Tensorflow, Stock Market, Feed-forward, Artificial Intelligence, time series forecasting, data analysis