A Review on Statistical Machine Learning Models for Predicting Cryptocurrency Trends

It can be concluded that crypto price prediction is a category of time series prediction which extremely challenging due to the dependence of crypto prices on several financial, socio-economic and political parameters etc. Moreover, small inaccuracies in crypto price predictions may result in huge losses to firms which use crypto price prediction results for financial analysis and investments.  Off late, soft computing techniques are being used widely for crypto market prediction due to relatively higher accuracy compared to conventional statistical techniques. This paper presents a comprehensive review on existing work in the domain of crypto price forecasting. Moreover, the existing challenges and research gaps have also been mentioned to aid future directions of research.

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