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- Vol. 3 Issue 6
- Article
Stock Market Predictor Web Application
Authors
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 In
- Volume 3, Issue 6 (2022)
- Published Online
- November-December 2022
- Pages
- 110-111
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
Abstract
View PDFAbstract: 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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