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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
A Study of Quantitative Modeling and Capital Market Efficiency Enhancement in High Frequency Trading
Zimeng Li
Zimeng Li
School of Economics and management, Shenyang Aerospace University
Shenyang, China
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Li, Zimeng
Nov 25, 2024
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Nov 25, 2024
Received:
Jul 11, 2024
Accepted:
Oct 16, 2024
DOI:
https://doi.org/10.2478/amns-2024-3449
Keywords
Time window sliding
,
Reward function
,
Deep reinforcement learning
,
Trading quantitative model
,
Capital market
© 2024 Zimeng Li, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
