Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

A Survey of Quantitative Trading Based on Artificial Intelligence

Authors
Kaiyi Zhang1, 1, *
1Department of Public Administration, Guangdong University of Finance, Guangzhou, 510521, Guangdong, China
*Corresponding author. Email: 2629324002@qq.com
Corresponding Author
Kaiyi Zhang
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_21How to use a DOI?
Keywords
Artificial Intelligence; Machine Learning; Quantitative Trading; Stock Investments
Abstract

With the advent of the era of artificial intelligence and big data, the intelligent quantitative trading derived from the combination of artificial intelligence and quantitative trading has gradually become a new trend in stock investment. This paper reviews the application of artificial intelligence in quantitative trading and its advantages over traditional quantitative trading, and summarizes whether intelligent quantitative funds can replace the traditional financial position of fund manager. At present, artificial intelligence can not completely replace human investment, will only be used as an auxiliary investment tool and a choice of investment methods.

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 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_21
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_21How 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

TY  - CONF
AU  - Kaiyi Zhang
PY  - 2023
DA  - 2023/03/29
TI  - A Survey of Quantitative Trading Based on Artificial Intelligence
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 171
EP  - 177
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_21
DO  - 10.2991/978-94-6463-124-1_21
ID  - Zhang2023
ER  -