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Research Article

Stock Market Predictor Web Application

  • Paper ID 783
  • Volume 3, Issue 6
  • Pages 110-111
  • Published Online: November-December 2022
Open Access Peer Reviewed

Authors

  • Harshita Singh1
  • Sanjana Sahani2
  • Tushar Maddheshiya3
  • Sangam Prajapati4
  • Suneel Yadav5

1234 Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India. 5Assistant Professor Department of Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, India.

Article Information

DOI
No DOI
Published Online
November-December 2022
Pages
110-111
Article Type
Research Article
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Abstract

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Abstract: Stock price forecasting is a well-liked and significant subject in academic andfinancial research. The use of machine learning, which produces forecasts based on the values ofcurrent stock market indices by training on their prior values, is anew trend in stock marketprediction technology. Multiple models are used by machine learning itself to facilitate andauthenticate prediction. The study focuses on LSTM-based machine learning and regression forstock value prediction.

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