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Predicting Trends of Stock Market using Artificial Neural Network

Aithal, Prakash K and Shivaprasad,, G and Kumara, Abhishekh and Rajesh, G and Acharya, Dinesh U (2012) Predicting Trends of Stock Market using Artificial Neural Network. In: Proceedings of National Conference on Advances in Computer Science and Information Security , 6-7 January 2012, Manipal Institute of Technology, Manipal, Indian. (Submitted)

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Abstract

Artificial neural networks (ANN) can be used wherever human intelligence is required. ANN can remember data of any number of years and it can predict the feature based on the past data. One of the applications of ANN is predicting the stock market values. The prediction has high financial value. This paper uses feed forward network to find the trend of stock market. The network is trained using 3 years data of IBM company form 03-01-2007 to 03-01-2010. System can predict the stock exchange values for the next 6 moths that is form 4-01-2010 to 04-07-2010. Though the method discussed cannot predict the exact values of stock market, it do succeeds in predicting the trends of the Stock market.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Artificial neural networks, Feed forward network, Stock prediction.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 22 Feb 2012 11:27
Last Modified: 22 Feb 2012 11:27
URI: http://eprints.manipal.edu/id/eprint/3305

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