• Dr. M.Sree Lakshmi

An investigation of the use of neural networks in the stock market and banking domains is presented in this research paper. Neural Networks have been used in a wide range of fields and applications throughout this page. It is unable to define the complex, dynamic, chaotic, and non-linear phase space required for accurate stock price forecasting in today's market. Prediction is a technique used to make educated guesses about the unknown future. It's possible that studying how to accurately anticipate stock performance will provide substantial financial rewards. As a result of its anticipated high reward, the stock market is a well-known investing location. An important topic in finance is predicting stock market returns while avoiding the risk associated with generating profits. The outcomes of this investigation are used to support and explain the points being made.

Neural Networks, Stock market, Prediction

"PREDICTING THE STOCK PRICE OF BANKING SECTOR COMPANIES USING NEURAL NETWORKS: AN ANALYSIS OF AXIS BANK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 2, page no.1-14, February-2016, Available :http://www.jetir.org/papers/JETIR1701843.pdf

"PREDICTING THE STOCK PRICE OF BANKING SECTOR COMPANIES USING NEURAL NETWORKS: AN ANALYSIS OF AXIS BANK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 2, page no. pp1-14, February-2016, Available at : http://www.jetir.org/papers/JETIR1701843.pdf