Study of the Behavior of Cryptocurrencies in Turbulent Times Using Association Rules

We studied the effects of the recent financial turbulence of 2020 on the cryptocurrency market, taking into account both prices and volumes from December 2019 to July 2020. Time series were transformed into transaction matrices, and the Apriori algorithm was applied to find the association rules bet...

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Главные авторы:	José Benito Hernández C., Andrés García-Medina, Miguel Andrés Porro V.
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2021-07-01
Серии:	Mathematics
Предметы:	cryptocurrencies association rules Apriori algorithm time series
Online-ссылка:	https://www.mdpi.com/2227-7390/9/14/1620
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