人工智能与量化交易的课程建设

doi:10.11959/j.issn.2096-6652.202311

智能科学与技术学报 ›› 2023, Vol. 5 ›› Issue (1): 104-112.doi: 10.11959/j.issn.2096-6652.202311

人工智能与量化交易的课程建设

张军欢, 朱正一, 蔡可玮

北京航空航天大学经济管理学院，北京 100191

修回日期:2023-03-01 出版日期:2023-03-15 发布日期:2023-03-01
作者简介:张军欢（1983- ），男，北京航空航天大学经济管理学院副教授、博士生导师，主要研究方向为计算与行为金融、量化交易、金融科技与监管科技、区块链金融、人工智能
朱正一（2000- ），女，北京航空航天大学经济管理学院硕士生，主要研究方向为资产定价、量化交易
蔡可玮（2000- ），女，北京航空航天大学经济管理学院本科生，主要研究方向为量化交易、绿色金融
基金资助:
北京航空航天大学2021年教学研究与改革项目一般项目(4302122);北京航空航天大学教育教学改革培育项目（研究生教育）普通项目(ZF202S1876);国家自然科学基金资助项目(72271013)

Curriculum design for artificial intelligence and quantitative trading

Junhuan ZHANG, Zhengyi ZHU, Kewei CAI

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)

摘要/Abstract

摘要：

计算机技术，尤其是人工智能、大数据和区块链技术的发展，改变了传统经济社会和金融市场的交易方式。量化交易是当代金融市场一种重要的新兴交易方式。为了满足社会对量化交易人才的需求，探索出一个合理的人工智能与量化交易的课程体系尤为重要。首先，梳理了量化交易的发展及人工智能在量化交易中的应用情况；然后，归纳和总结了量化交易课程的现状和存在的问题；最后，根据存在的问题，从教学内容体系、教学实践模拟平台、师资培养、多渠道实践平台4个方面，提出了人工智能与量化交易课程的建设意见。

关键词: 量化交易, 人工智能, 课程建设

Abstract:

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

中图分类号:

TP311，F832

张军欢,朱正一,蔡可玮. 人工智能与量化交易的课程建设[J]. 智能科学与技术学报, 2023, 5(1): 104-112.

Junhuan ZHANG,Zhengyi ZHU,Kewei CAI. Curriculum design for artificial intelligence and quantitative trading[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(1): 104-112.

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参考文献 23

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人工智能与量化交易的课程建设

Curriculum design for artificial intelligence and quantitative trading

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