Skip to main content

Document details - Stock market prediction using LSTM Model

Journal Volume 11, Issue 4, July - August 2022, Article 10262313 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.

Stock market prediction using LSTM Model

    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.

  • ISSN: 22786856
  • Source Type: Journal
  • Original language: English

Cited by 0 documents

Related documents

{"topic":{"name":"Order Picking; AS/RS; Warehouses","id":5729,"uri":"Topic/5729","prominencePercentile":98.30173,"prominencePercentileString":"98.302","overallScholarlyOutput":0},"dig":"7972b85ca5bc948c1a2f0423f8150b186ec6bb8cf32afac11c4a324b8d78fb11"}