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Predicting changes in Bitcoin price using grey system theory
Financial Innovation ( IF 6.793 ) Pub Date : 2020-02-10 , DOI: 10.1186/s40854-020-0174-9
Mahboubeh Faghih Mohammadi Jalali , Hanif Heidari

Bitcoin is currently the leading global provider of cryptocurrency. Cryptocurrency allows users to safely and anonymously use the Internet to perform digital currency transfers and storage. In recent years, the Bitcoin network has attracted investors, businesses, and corporations while facilitating services and product deals. Moreover, Bitcoin has made itself the dominant source of decentralized cryptocurrency. While considerable research has been done concerning Bitcoin network analysis, limited research has been conducted on predicting the Bitcoin price. The purpose of this study is to predict the price of Bitcoin and changes therein using the grey system theory. The first order grey model (GM (1,1)) is used for this purpose. It uses a first-order differential equation to model the trend of time series. The results show that the GM (1,1) model predicts Bitcoin’s price accurately and that one can earn a maximum profit confidence level of approximately 98% by choosing the appropriate time frame and by managing investment assets.

中文翻译:

使用灰色系统理论预测比特币价格的变化

比特币目前是全球领先的加密货币供应商。加密货币允许用户安全、匿名地使用互联网进行数字货币转移和存储。近年来,比特币网络在促进服务和产品交易的同时吸引了投资者、企业和公司。此外,比特币已使自己成为去中心化加密货币的主要来源。虽然已经对比特币网络分析进行了大量研究,但对预测比特币价格的研究有限。本研究的目的是使用灰色系统理论预测比特币的价格及其变化。为此使用一阶灰色模型(GM (1,1))。它使用一阶微分方程来模拟时间序列的趋势。结果表明,GM (1,
更新日期:2020-02-10
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