Advances in Economics, Management and Political Sciences
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Proceedings of the 6th International Conference on Economic Management and Green Development (ICEMGD 2022), Part Ⅰ
Series Vol. 3 , 21 March 2023
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Access | Article
Review of Stock Price Predicting Method Based on LSTM
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Abstract
Stock market forecasting is a challenging field for investors to make profits in the financial market. Investors need to understand that financial markets are more unstable and affected by many external factors. Time series analysis of daily stock data and the establishment of prediction model are very complex. The development of stock market forecasting technology is changing with each passing day and deep learning method is more and more used in finance field. This paper review the stock predicting method based on LSTM from the year 2015 to 2022.
Keywords
Predicting, Stock Price, LSTM
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 6th International Conference on Economic Management and Green Development (ICEMGD 2022), Part Ⅰ
- ISBN (Print)
- 978-1-915371-15-7
- ISBN (Online)
- 978-1-915371-16-4
- Published Date
- 21 March 2023
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/3/2022823
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited