Abstract
This paper is a survey on the applications of NEURAL NETWORKS APPLICATION IN PREDICTING STOCKPRICE .In this article various domains of APPLICATIONS TO NEURAL NETWORKS are discussed. The stock market is a complex, non stationary, chaotic and non linear dynamical system. Prediction is the process of estimation in unknown future situations.Predicting stock performance is a very large and profitable area of study. The present study is supported and illustrated by practical application of results. The objective of this project is to understand the performance of pharmaceutical industry in India and also to understand performance of stocks of particular companies in pharma sector. Suggesting the investor the right time to buy and sell the stocks of these companies.
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