• Rajnandini Rawat
• Dr. Amit Shrivastava
• Dr. Kapil Chaturvedi

Trading in stock markets is not an easy task and requires expertise and knowledge that improve and increase the chances of making more profits and ensuring that you make profitable decisions at all times. Financial Experts and data analysts make use of various algorithms and neural networks to predict the value of stock depending upon the available information and then use the outcomes to analyze and make their trading decision. In this concept the research was conducted by taking top sectors from the NSE/BSE. Each sector comprises of five companies based on the weightage value. The study was conducted with different sectors like, IT sector, Automobile sector, Banking sector, Pharmaceutical sector and FMCG sector. All the sectors taken for the study is highly volatile compared to other sectors in NSE/BSE. Hence it is very essential to study on the nexus between the Indian Stock Market and selected companies behaviour. The early stage of the share market was very familiar for average investor. Now the markets are wide enough to invest. There are different markets like bond market, forex market, derivative market and other specialty markets. Analysis of the stock price we take the price. By using the artificial neural network, we develop a model. within the neural network, we use a recurrent neural network that remembers each and each information through time.

National Stock Exchange (NSE), Bombay Stock Exchange (BSE), Neural Network

"Review of Stock Price Volatility and Forecasting using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.a241-a245, August-2022, Available :http://www.jetir.org/papers/JETIR2208033.pdf

"Review of Stock Price Volatility and Forecasting using Artificial Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppa241-a245, August-2022, Available at : http://www.jetir.org/papers/JETIR2208033.pdf