Gold-Bitcoin Trading Strategy Based on Time Series Modeling
DOI:
https://doi.org/10.54097/hset.v68i.11943Keywords:
ARIMA; Gold; Bitcoin; Trading Strategies.Abstract
Market traders often earn income by buying and selling assets through market transactions with the goal of maximizing total returns. Since each asset purchased has a certain amount of gain and loss, traders need to develop a trading strategy, which may affect their total profit. In the case of gold and bitcoin, this paper develops an ARIMA daily price forecasting model and a trade strategy model based on price increases to help market traders develop optimal trading strategies for gold and bitcoin.
Downloads
References
Li, Zhan & Huang, Yuanda. Stock Trading Price Prediction Model Study [N]. Shanghai Jiao Tong University Newspaper, 1992-6-26 (6).
Li, Hongjie. Bitcoin - A New Kind of Gold in the Digital Age [J]. China Business Review,2018(2):33-34.
Ding,Wenjuan. Comparison of ARIMA Model and LSTM Model Based on Stock Forecast [J]. Industrial Control Computers, 2021, 34(7): 109~116.
Zhao, Kangyin & Xue, Yanan. Stock Forecast and Evaluation of TCL Group Based on ARIMA Model [J]. Hot Insights, 2020: 144~145.
Huang Li-Shan. Portfolio Research Based on ARIMA and Comprehensive Evaluation Methods--Taking Gold and Bitcoin as an Example [J]. Modern Information Technology,2022,6(23):98-102.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







