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has been cited by the following article:

• TITLE: Digital Assets Price Forecast Based on POW Mining Mechanism

  AUTHORS: Zhihong Li, Jie Wang, Kexin Li

  KEYWORDS: Blockchain, Digital Assets, POW, Regression Model

  JOURNAL NAME: Open Journal of Social Sciences, Vol.7 No.2, February 20, 2019

  ABSTRACT: With the birth of blockchain technology, digital assets such as Bitcoin have also rapidly developed. In recent years, although the development of digital assets has been blocked by national policies, it is still favored by many investors in the capital market. Today, the price of Bitcoin has reached as high as 4000 $, and some early investors in Bitcoin have received rich returns. But the fluctuations in bitcoin prices are also difficult for investors to ponder, and even let some people lose their money. By analyzing the factors affecting the price of bitcoin, this paper predicts the trend of bitcoin price through linear regression model through the difficulty of mining based on POW mechanism and people’s attention to digital assets (Google Trend Index), thus providing investors with some reference comments.