Systematic Erudition of Bitcoin Price Prediction using Machine Learning Techniques

Prachi Rane, Sudhir Dhage
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引用次数: 13

Abstract

Bitcoin (BTC) is an internet-based world’s top-ranking cryptocurrency. Among widespread cryptocurrencies available in the market, Bitcoin is most experienced by the people due to anonymity and transparency in the system. Daily trends in the Bitcoin market has gained popularity among the spectators, investors, consumers and many more. Bitcoin price data exhibit desirable properties where some classical time series prediction methods exploit the behavior, producing poor predictions and also lack a probabilistic interpretation. This paper conducts an in-depth study on evolution of Bitcoin and also a systematic review is done on various machine learning algorithms used for predicting the prices. Comparative analysis envisions to select optimal technique to forecast prices more precisely.
基于机器学习技术的比特币价格预测系统研究
比特币(BTC)是一种基于互联网的世界顶级加密货币。在市场上广泛使用的加密货币中,由于系统的匿名性和透明度,比特币最受人们的欢迎。比特币市场的每日趋势在观众、投资者、消费者和更多的人中得到了普及。比特币价格数据表现出令人满意的特性,而一些经典的时间序列预测方法利用了这种行为,产生了糟糕的预测,也缺乏概率解释。本文对比特币的演变进行了深入的研究,并对用于预测价格的各种机器学习算法进行了系统的回顾。对比分析旨在选择最优的技术来更准确地预测价格。
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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