Data Analytics for the Cryptocurrencies Behavior

The cryptocurrencies are a new paradigm of transferring money be-tween users. Their anonymous and non-centralized is a subject of debate around the globe that paired with the massive spikes and declines in value that are in-herit to an unregistered asset. These facts make difficult for the common da...

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Detalles Bibliográficos
Autores principales: Sánchez, Eduardo, Olivas Varela, José Ángel, Sacristán Romero, Francisco
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2019
Materias:
Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/80385
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-80385
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
spellingShingle Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
Sánchez, Eduardo
Olivas Varela, José Ángel
Sacristán Romero, Francisco
Data Analytics for the Cryptocurrencies Behavior
topic_facet Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
description The cryptocurrencies are a new paradigm of transferring money be-tween users. Their anonymous and non-centralized is a subject of debate around the globe that paired with the massive spikes and declines in value that are in-herit to an unregistered asset. These facts make difficult for the common daily use of the cryptocurrencies as an exchange currency as instead they are being used as a new way to invest. What we propose in this article is a system for the better understanding of the cryptocurrencies economical behavior against the global market. For that we are using Data Analytics techniques to build a pre-dictor that uses as inputs said external financial variable. These forecasts would help determine if a coin is safe to trade with, if those forecasts can be precise by only using this external data. The results obtained indicates us that there is a certain degree of influence of the global market to the cryptocurrencies, but that is it not enough to correctly predict the fluctuations in price of the coins and that they care more about others factors and that they have their own bubbles, like the crypto collapse in late 2017.
format Objeto de conferencia
Objeto de conferencia
author Sánchez, Eduardo
Olivas Varela, José Ángel
Sacristán Romero, Francisco
author_facet Sánchez, Eduardo
Olivas Varela, José Ángel
Sacristán Romero, Francisco
author_sort Sánchez, Eduardo
title Data Analytics for the Cryptocurrencies Behavior
title_short Data Analytics for the Cryptocurrencies Behavior
title_full Data Analytics for the Cryptocurrencies Behavior
title_fullStr Data Analytics for the Cryptocurrencies Behavior
title_full_unstemmed Data Analytics for the Cryptocurrencies Behavior
title_sort data analytics for the cryptocurrencies behavior
publishDate 2019
url http://sedici.unlp.edu.ar/handle/10915/80385
work_keys_str_mv AT sanchezeduardo dataanalyticsforthecryptocurrenciesbehavior
AT olivasvarelajoseangel dataanalyticsforthecryptocurrenciesbehavior
AT sacristanromerofrancisco dataanalyticsforthecryptocurrenciesbehavior
bdutipo_str Repositorios
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