Year: 2023
Author: Raymond Lee, Sherry Zhou, Jefferson Fong, Goliath Li, Yanyan Ji, Jing He, Nuobei Shi
Innovative Teaching and Learning , Vol. 5 (2023), Iss. 1 : pp. 73–93
Abstract
Hitherto it has been a real challenge to integrate innovations in advanced quantum computing and AI to supply a practical, intelligent program trading system. Particularly challenging to the financial technology community is quantum finance, which is based on modern technologies that draw upon quantum theory and quantum anharmonic oscillation. There are numerous hybrid economic forecasts with the combination of deep network and various AI technologies recommended with the growth in AI innovation in the past decades. In this paper, we demonstrate how higher education has addressed this critical subject area, namely the development of high-level, cutting-edge AI related, computer technology in the area of financial trading. State of the art AI innovations, including deep networks, fuzzy logic, genetic algorithms and chaos theory are incorporated into MetaTrader platform to design cutting-edge and functional AI-based program trading workshops providing students with hand-on experiences of exactly how to apply such innovation to the real-life economic market and also how to plan for a future career in the growing professional area of AI-fintech.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.4208/itl.20230105
Innovative Teaching and Learning , Vol. 5 (2023), Iss. 1 : pp. 73–93
Published online: 2023-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 21
Keywords: quantum finance AI-based financial forecast intelligent trading strategies innovative teaching and learning method MetaTrader system.