Does Moving-average Indicators Work Well on the Dynamic of Bitcoin Prices

Kuang-Chieh Yen, Yu-Li Lin, Wei-Ying Nie
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Abstract

This study explores whether the technical analysis based on moving average indicator can predict Bitcoin returns during January 2014 and October 2019. First, we find that Bitcoin weekly returns are well predictable by the technical indicator defined as the difference between the log moving averages and log current price in both in-sample and out-of-sample tests. However, the return predictability is not significant in daily frequency. We further show that the term structure of moving-average indicator provides significantly predictive power to Bitcoin weekly returns, especially for the lower correlated moving-average indicators.
移动平均指标对比特币价格的动态是否有效
本研究探讨了基于移动平均指标的技术分析是否可以预测2014年1月至2019年10月期间的比特币收益。首先,我们发现比特币的周收益可以通过技术指标很好地预测,技术指标定义为样本内和样本外测试中对数移动平均线和对数当前价格之间的差异。然而,收益的可预测性在日频率上并不显著。我们进一步表明,移动平均指标的期限结构对比特币周收益具有显著的预测能力,特别是对相关性较低的移动平均指标。
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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