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Volume & Issue no: Volume 11, Issue 4, July - August 2022

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Title:
Stock market prediction using LSTM Model
Author Name:
Sarvesh Pujari, T R Arunkumar
Abstract:
Abstract: In this entire study the use of stock market prediction for the financial growth of a company have been highlighted. The application of LSTM, limitation and further recommendation has also been mentioned here. The study also showed its future improvement in stock market prediction and the reasons behind its popularity have also been discussed here in details. Wrong prediction in stock market analysis can damage a company financially therefore, its importance for the growth of a business has discussed in details. Sometimes, it may be difficult to store previously collected data for the neural node, thus, the use of LSTM has become vital. The most vital issue with RNN is the Vanishing Gradient problem hence; this particular technology has solved this problem and is capable of storing a huge amount of important data constantly.
Cite this article:
Sarvesh Pujari, T R Arunkumar , " Stock market prediction using LSTM Model" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 11, Issue 4, July - August 2022 , pp. 149-151 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
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