A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading-Reference-Cited by-同舟云学术

A Deep Reinforcement Learning-Based Decision Support System for Automated Stock Market Trading

Author:

Ansari Yasmeen¹^ORCID,Yasmin Sadaf²,Naz Sheneela³,Zaffar Hira⁴,Ali Zeeshan⁵,Moon Jihoon⁶,Rho Seungmin⁷^ORCID

Affiliation:

1. Department of Finance, College of Administrative and Financial Sciences, Saudi Electronic University, Riyadh, Saudi Arabia

2. Department of Computer Science, COMSATS University Islamabad, Attock Campus, Attock, Pakistan

3. Department of Computer Science, COMSATS University Islamabad, Islamabad, Pakistan

4. Department of Computer Science, Air University, Aerospace and Aviation Kamra Campus, Islamabad, Pakistan

5. Research and Development Setups, National University of Computer and Emerging Sciences, Islamabad, Pakistan

6. Department of AI and Big Data, Soonchunhyang University, Asan, South Korea

7. Department of Industrial Security, Chung-Ang University, Seoul, South Korea

Funder

Chung-Ang University Research Grants in 2022

MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program

IITP

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference72 articles.

1. Capturing financial markets to apply deep reinforcement learning;chakraborty;arXiv 1907 04373,2019

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. Financial Zen: Achieving Market Harmony through Reinforcement Learning and Algorithmic Trading;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17