Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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Research on Stock Selection Method Based on LSTM Neural Network

Authors
Yifan Gao1, *
1University of British Columbia, 17 Foursquare Tips 2329 W Mall, Vancouver, BC, V6T1Z4, Canada
*Corresponding author. Email: gao78@wisc.edu
Corresponding Author
Yifan Gao
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_87How to use a DOI?
Keywords
LSTM; Neural Network; Stock Prediction
Abstract

In the field of investment, the selection of good target stocks is one of the keys to the ultimate success of the investment activity. Stock prediction is a study that every investor is trying to do, ordinary investors confirm stock selection for trading by means of technical analysis, and researchers analyze stock data by building mathematical models. Stock data are represented as classical financial time series, and the use of neural networks for stock data prediction is a hot research topic in recent years. In this paper, we analyze the stock investment risk and investment analysis methods based on the actual process of stock investment selection, and analyze the applicability of LSTM in stock investment selection from the perspective of stock selection ability under the large number of stock market investments. The experimental results show that the proposed method has improved the accuracy of stock prediction compared with the single LSTM prediction model, and can predict the stock trend accurately and effectively to a certain extent.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_87
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_87How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yifan Gao
PY  - 2022
DA  - 2022/12/02
TI  - Research on Stock Selection Method Based on LSTM Neural Network
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 869
EP  - 876
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_87
DO  - 10.2991/978-94-6463-010-7_87
ID  - Gao2022
ER  -