Analysis of Stock Market Price Prediction of Indian Finance Companies using Artificial Neural Network Approaches

Abstract

Organizations get their capital by giving portions of stock; these are the units into which partnerships partition their possession. Shares are commonly called stocks. A solitary portion of the stock addresses fragmentary responsibility for enterprise in relation to the absolute number of offers. Preference shares are the shares that promise the holder a fixed dividend, whose payment takes priority over that of the ordinary share dividends.

The stock market prediction has attracted much attention from academia as well as business. However, it is a challenging research topic in which many advanced computational methods have been proposed but they have not yet been attained a desirable and reliable performance. In this paper, stock market prediction analysis done specially on Indian finance companies’ market. Analysis accomplished using three approaches Simple RNN, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU).