A Study on the Long Short Term Memory Algorithm for Indian Stock Market Prediction

A. Menghwani¹

Section:Research Paper, Product Type: Journal-Paper
Vol.9 , Issue.5 , pp.69-72, Oct-2021

Online published on Oct 31, 2021

Copyright © A. Menghwani . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The Modern Era has witnessed a new wave of changes when Covid 19 pandemic hit humanity. Many traditional patterns got violated and new things emerged. One of these things is the increase in Stock Market Investors. As these investors are usually considered to be small investors. So there is a need for a mechanism which can provide accurate stock value prediction for maximization of profit and minimization of Losses in Stock market trading. For doing so, the Machine Learning methods can be of great use . In this paper we have taken the time series data of Nifty 50 company stock price and then applied the LSTM (Long short Term Memory) method of RNN for predicting the stock values. As a result we have achieved satisfactory results in accurate prediction the stock value.

Key-Words / Index Term :
Stock market prediction, Machine Learning ,RNN (Recurrent Neural Network), LSTM (Long Short Term Memory)

References :
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