Chinese Journal of Intelligent Science and Technology ›› 2023, Vol. 5 ›› Issue (1): 104-112.doi: 10.11959/j.issn.2096-6652.202311

• Papers and Reports • Previous Articles     Next Articles

Curriculum design for artificial intelligence and quantitative trading

Junhuan ZHANG, Zhengyi ZHU, Kewei CAI   

  1. School of Economics and Management, Beihang University, Beijing 100191, China
  • Revised:2023-03-01 Online:2023-03-15 Published:2023-03-01
  • Supported by:
    Beihang University 2021 Teaching Research and Reform General Project(4302122);Beihang University Education and Teaching Reform Cultivation General Project(ZF202S1876);The National Natural Science Foundation of China(72271013)


With the development of computer technology, especially the development of artificial intelligence, big data technology and blockchain technology, the transaction mode of traditional economic society and financial market has been changed.Quantitative trading is an important emerging trading mode in the contemporary financial market.To meet the social demand for quantitative trading talents, it is particularly important to explore a reasonable course system of AI and quantitative trading.Firstly, the recent development of quantitative trading and the application of AI in quantitative trading were analyzed.Then, the current situations and problems of the quantitative trading course were summarized.Finally, according to the problems, the suggestions on the course design for AI and quantitative trading were put forward in four aspects, which included teaching content system, teaching practice simulation platform, teacher training, and multi-channel practice platform.

Key words: quantitative trading, artificial intelligence, curriculum design

CLC Number: 

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