Study on Quantitative Investment Strategy of Commodity Futures Based on Market Money Flow Factor: Chinese Gold Futures Case
Authors
Xuwen Huang1, Ke Huang2, Zuominyang Zhang3, *
1Vietnam Institute, Guangxi Academy of Social Sciences, Nanning, Guangxi, 530022, China
2Quantitative Finance Laboratory, School of Digital Economics, Nanning University, Nanning, Guangxi, 530299, China
3Graduate School, Guangxi University of Finance and Economics, Nanning, Guangxi, 530003, China
*Corresponding author.
Email: Zuominyang_Zhang@163.com
Corresponding Author
Zuominyang Zhang
Available Online 26 May 2025.
- DOI
- 10.2991/978-94-6463-724-3_32How to use a DOI?
- Keywords
- Gold future; Quantitative trading; China
- Abstract
This paper constructs a quantitative trading strategy based on the fund flow model, and tests it on SHFE gold and COMEX gold futures respectively. The cumulative return rate in 2022-2023 is 45.3% and 51.2%, indicating that the quantitative trading strategy based on the fund flow model has certain universality and can be applied to other futures trading. And even transactions in other financial assets.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xuwen Huang AU - Ke Huang AU - Zuominyang Zhang PY - 2025 DA - 2025/05/26 TI - Study on Quantitative Investment Strategy of Commodity Futures Based on Market Money Flow Factor: Chinese Gold Futures Case BT - Proceedings of the 2025 5th International Conference on Informatization Economic Development and Management (IEDM 2025) PB - Atlantis Press SP - 319 EP - 328 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-724-3_32 DO - 10.2991/978-94-6463-724-3_32 ID - Huang2025 ER -