Investigating Cryptocurrency Trends with Big Data and Time Series Analysis

dc.contributor.advisor	de Wijn, Astrid
dc.contributor.advisor	Steinert, Martin
dc.contributor.author	Flood, Sindre
dc.date.accessioned	2019-09-11T09:10:12Z
dc.date.created	2018-06-15
dc.date.issued	2018
dc.identifier	ntnudaim:20126
dc.identifier.uri	http://hdl.handle.net/11250/2615302
dc.description.abstract	The interest in cryptocurrencies has exploded over the last years and are heavily debated in socialmedia. Concretely,we look at the relationship between Bitcoin prices and Reddit posts for the period 2013 to 2018. Approximately 600 000 posts have been preprocessed and a sentiment analysis carried out. A Granger causality analysis of three time periodes suggests there is a weak link between very positive post sand Bitcoin price for the ﬁrst two periodes.	en
dc.language	eng
dc.publisher	NTNU
dc.subject	Ingeniørvitenskap og IKT, IKT, produktutvikling og materialer	en
dc.title	Investigating Cryptocurrency Trends with Big Data and Time Series Analysis	en
dc.type	Master thesis	en
dc.source.pagenumber	75
dc.contributor.department	Norges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap,Institutt for maskinteknikk og produksjon	nb_NO
dc.date.embargoenddate	10000-01-01