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CNX PSU Bank Index Prediction Using Soft Computing - A Study?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.2, No. 6)

Publication Date:

Authors : ;

Page : 82-86

Keywords : Stock Prediction; Neural Networks; Rough sets; Genetic Algorithm; Fuzzy;

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Stock markets are incredible systems wherein thousands of stocks, ETFs and bonds are traded by millions of traders every day, around the world, in a never-ending battle to make money. Predicting stock markets has been one of the biggest challenges of the AI community since about two decades ago. The objective of this paper is to review the previous methods used for prediction and the proposed method. The aim of this work is to predict the National Stock Exchange (NSE) market PSU Bank Index value by external indicators such as world market, policies, inflation rate and the measures taken by Reserve Bank of India with the help of Multi-Layer Feed-Forward Neural Networks (MLFFNN).

Last modified: 2013-06-22 15:51:10