Data Analytics for the Cryptocurrencies Behavior

Autores
Sánchez, Eduardo; Olivas Varela, José Ángel; Sacristán Romero, Francisco
Año de publicación
2019
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/80385
Acceder
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network_name_str SEDICI (UNLP)
spelling Data Analytics for the Cryptocurrencies BehaviorSánchez, EduardoOlivas Varela, José ÁngelSacristán Romero, FranciscoCiencias InformáticasCryptocurrenciesData analyticsBlockchainThe 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.Instituto de Investigación en Informática2019-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf86-97http://sedici.unlp.edu.ar/handle/10915/80385enginfo:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:06:43Zoai:sedici.unlp.edu.ar:10915/80385Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:06:43.754SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Data Analytics for the Cryptocurrencies Behavior
title Data Analytics for the Cryptocurrencies Behavior
spellingShingle Data Analytics for the Cryptocurrencies Behavior
Sánchez, Eduardo
Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
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
dc.creator.none.fl_str_mv Sánchez, Eduardo
Olivas Varela, José Ángel
Sacristán Romero, Francisco
author Sánchez, Eduardo
author_facet Sánchez, Eduardo
Olivas Varela, José Ángel
Sacristán Romero, Francisco
author_role author
author2 Olivas Varela, José Ángel
Sacristán Romero, Francisco
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
topic Ciencias Informáticas
Cryptocurrencies
Data analytics
Blockchain
dc.description.none.fl_txt_mv 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.
Instituto de Investigación en Informática
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.
publishDate 2019
dc.date.none.fl_str_mv 2019-06
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dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/80385
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dc.language.none.fl_str_mv eng
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-3-030-27713-0
info:eu-repo/semantics/reference/doi/10.1007/978-3-030-27713-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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