Open AccessExploration of Quant Trading Talents’ Training Mode of University Education Based on Artificial Intelligence
Author(s) -
Jiaxuan Chen
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1881/2/022057
Subject(s) - quality (philosophy) , training (meteorology) , trading strategy , algorithmic trading , computer science , set (abstract data type) , artificial intelligence , mode (computer interface) , financial market , operations research , finance , engineering , business , human–computer interaction , philosophy , physics , epistemology , meteorology , programming language
In recent years, the topic of artificial intelligence has become more and more popular, especially machine learning has become a hot issue in academia. Quant trading ability has been an important quality of financial market in recent years, but quant trading talents training mode is still facing some practical problem. It is of great significance to set up quant trading simulation experiment to cultivating financial talents. In view of it, this paper discusses the specific content of quant trading simulation experiment, analyzes the necessity to cultivate quant trading courses and professional teachers.