Analysis and Estimation of Share Market Scenario
Devansh Dhote, Rai, Piyush, Deshmukh, Sunil, Adarsh Jaiswal, Yogesh Kisan Mali · Zenodo (CERN European Organization for Nuclear Research) · 2020
Share market is a public market for the transaction of business share. It is an organized set-up with a monitoring body and the members who trade in shares are registered with the share market and regulatory body Security Exchange of Board India. Since share market data are highly time-variant and are normally in a nonlinear pattern, analyzing the future price of a share is highly challenging. Analysis provides sophisticated information regarding the current status of the share price movement. Thus this can be developed in decision making for customers in finalizing whether to buy or sell the particular shares of a given share. Many investigators have been carried out for analyzing share market price using various data mining techniques. This work aims at using of Artificial Neural Network techniques to predict the share price of companies listed under index of National Share Exchange (NSE). The past data of the selected share will be used for building and training the models. The results from the model will be used for comparison with the real data to determine the accuracy of the model.