Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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Research on Economic Trading System Based on Artificial Intelligent

Authors
Nachuan Guo1, *, Jiewei Guan1
1School of Automation, Guangdong University of Technology, Guangzhou, China
*Corresponding author. Email: 898877952@qq.com
Corresponding Author
Nachuan Guo
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_33How to use a DOI?
Keywords
Economic Trading System; Benefit-Maximum; Nonlinear Neural Network; Multi-factor Model
Abstract

Contemporary, economic trading system has been greatly enhanced by utilizing digital economic transactions technique. However, existing trading platforms require workers to dispose numerous transaction data and operate the trading behaviour in benefit-maximum time point, which need experienced traders and may cause several operation errors. In this paper, we propose a novel artificial intelligent model to detect the benefit-maximum point and automatically achieve trading operation from numerous data input. The nonlinear neural network is trained to fit the rate of return of the trading system and the multi-factor trading model is established by relying on the prediction results of the neural network model as the scoring basis. Indeed, our model can achieve the trading decisions by learning from history trading data and other related information. From our extensive experimental results, we can conclude that our devised model can automatically realize economic trading operation on block-chain system with reasonable gas costs and acceptable benefits through comparing with existing models.

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 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
978-94-6463-222-4
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_33How 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  - Nachuan Guo
AU  - Jiewei Guan
PY  - 2023
DA  - 2023/08/28
TI  - Research on Economic Trading System Based on Artificial Intelligent
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 311
EP  - 317
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_33
DO  - 10.2991/978-94-6463-222-4_33
ID  - Guo2023
ER  -