Research on the Optimal Trading Strategy of Gold and Bitcoin

Authors

  • Ziyuan Hong
  • Xinran Tan
  • Xinyu Peng

DOI:

https://doi.org/10.54691/bcpbm.v22i.1220

Keywords:

Grey Prediction Model; Trading Strategy; Fund Allocation; Dynamic Programming.

Abstract

Market traders trade gold, and Bitcoin is aim to maximize their return. This paper utilizes the grey prediction model to explore the optimal trading strategy and optimize fund allocation based on dynamic programming. In addition, by comparing with other traditional trading strategies, we discover that the grey prediction model can more accurately estimate future prices, enabling the trader to gain steadily growing returns at a low-risk level.

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References

[https://www.coinhills.com/

Ye Wuyi, Sun Liping & Miao Boqi.(2020). Dynamic cointegration of gold and bitcoin: Based on semi-parametric MIDAS loci regression model. Systems Science and Mathematics (07),1270-1285. doi:

Gao Xiangbao, Zhao Yingjie. Statistical decision of securities selling based on RSI, Statistics & Decision.

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Published

2022-07-15