Anticipating Cryptocurrency Prices Using Machine Learning
Joint Authors
Alessandretti, Laura
ElBahrawy, Abeer
Aiello, Luca Maria
Baronchelli, Andrea
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-11-04
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Machine learning and AI-assisted trading have attracted growing interest for the past few years.
Here, we use this approach to test the hypothesis that the inefficiency of the cryptocurrency market can be exploited to generate abnormal profits.
We analyse daily data for 1,681 cryptocurrencies for the period between Nov.
2015 and Apr.
2018.
We show that simple trading strategies assisted by state-of-the-art machine learning algorithms outperform standard benchmarks.
Our results show that nontrivial, but ultimately simple, algorithmic mechanisms can help anticipate the short-term evolution of the cryptocurrency market.
American Psychological Association (APA)
Alessandretti, Laura& ElBahrawy, Abeer& Aiello, Luca Maria& Baronchelli, Andrea. 2018. Anticipating Cryptocurrency Prices Using Machine Learning. Complexity،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136447
Modern Language Association (MLA)
Alessandretti, Laura…[et al.]. Anticipating Cryptocurrency Prices Using Machine Learning. Complexity No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1136447
American Medical Association (AMA)
Alessandretti, Laura& ElBahrawy, Abeer& Aiello, Luca Maria& Baronchelli, Andrea. Anticipating Cryptocurrency Prices Using Machine Learning. Complexity. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1136447
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1136447