Volume : V, Issue : II, February - 2015

Hybrid Neuro–Genetic Data Mining Technique for Market Forecasting

Ganesh V. Kumbhar, Rajesh V. Argiddi

Abstract :

Share Market is an untidy place for predicting since there are no significant rules to estimate or predict the price of share in the share market because of fluctuating behavior of share price. The methods like technical analysis, time series analysis, fundamental analysis, and statistical analysis etc are all used to predict the behavior of price in the share market but none of these methods come up with a consistently acceptable prediction tool. The major concern of this study is to develop a system that can predict future prices in the stock markets by taking samples of historical prices. This study tries to help the stock market investors in deciding the better timing for buying or selling stocks based on the knowledge discovered from the historical prices of such stocks using neuro–genetic technique. This study will use the Artificial Neural Network for learning the historical data of Stock Market & make predictions for next few days. Genetic algorithm is used to optimize the weights of Neural Network so that is can learn better.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Ganesh V. Kumbhar, Rajesh V. Argiddi Hybrid Neuro-Genetic Data Mining Technique for Market Forecasting Indian Journal of Applied Research, Vol.5, Issue : 2 February 2015

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