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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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Principais autores: José Benito Hernández C., Andrés García-Medina, Miguel Andrés Porro V.
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-07-01
Serier:Mathematics
Fag:
cryptocurrencies
association rules
Apriori algorithm
time series
Online adgang:https://www.mdpi.com/2227-7390/9/14/1620
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