Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)


Forecasting Of Stock Market Trends Using Neural Network Techniques

Author(s): Neema, R; Rajkumar, R.; Shaik, D. A. & Masih, J.

The task of predicting future value of company stocks accurately is Stock Market prediction. Successfully estimating the future price of a stock will result in great profit. In this paper, we explore different kind of non-linear models for predicting the stock behavior. We would be implementing three popular algorithms for stock prediction namely – convolution neural network (CNN) using 1d convolution, Long Short-Term Memory (LSTM) and the recurrent neural network (RNN) to gain profits by buying shares which have the potential to be sold at a much higher rate resulting in significant profit. At last, a comparison will be done between the three algorithms stated above to find out which among them was the most effective one and hence could yield a maximum profit when invested in a stock market.   

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