APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR STOCK MARKET PREDICTIONS: A REVIEW OF LITERATURE

Dase R.K.¹*, Pawar D.D.^2
1N.E.S.Science College, Nanded, MS, India, 431605
²Deparment of Mathematics, N.E.S. Science College Nanded, MS, India, 431605
* Corresponding Author : rdase25@gmail.com

Received : -     Accepted : -     Published : 21-12-2010
Volume : 2     Issue : 2       Pages : 14 - 17
Int J Mach Intell 2.2 (2010):14-17
DOI : http://dx.doi.org/10.9735/0975-2927.2.2.14-17

Keywords : Artificial Neural Network, Stock Index, Prediction
Conflict of Interest : None declared

The prevailing Nation in society is that wealth brings comfort and luxury , so it is a challenging and daunting task to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. Predicting stock index with traditional time series analysis has proven to be difficult an Artificial Neural network may be suitable for the task. A Neural Network has the ability to extract useful information from large set of data. This paper presents a review of literature application of Artificial Neural Network for stock market predictions and from this literature found that Artificial Neural Network is very useful for predicting world stock markets.

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