Correlation analysis and prediction between bitcoin price and its influencing factors

Yinhao Liu
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Abstract

As the oldest and most famous cryptocurrency, the price of Bitcoin has increased nearly 2 million times in the last decade. As a result, predicting the price of Bitcoin through machine learning has become a big hit in recent years. This paper analyzes the correlation between the price of Bitcoin and market or social factors that may affect the price of Bitcoin. Then the author uses these factors with higher correlation to predict the price of bitcoin by LSTM. The experiments show that the average absolute percentage error of the LSTM prediction of bitcoin price decreases from 11.52% to 10.16%, 9.79%, 9.73%, 9.59%, 8.82%, and 8.50%, respectively, after the introduction of external correlation factors.
比特币价格与影响因素的相关性分析与预测
作为最古老、最著名的加密货币,比特币的价格在过去十年中上涨了近200万倍。因此,通过机器学习预测比特币的价格近年来成为一个热门话题。本文分析了比特币价格与可能影响比特币价格的市场或社会因素之间的相关性。然后利用这些相关性较高的因素,通过LSTM对比特币的价格进行预测。实验表明,引入外部相关因素后,LSTM预测比特币价格的平均绝对百分比误差分别从11.52%下降到10.16%、9.79%、9.73%、9.59%、8.82%和8.50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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