Anticipating Cryptocurrency Prices Using Machine Learning

Laura Alessandretti, Abeer ElBahrawy, Luca Maria Aiello, Andrea Baronchelli*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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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-artmachine 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.
Original languageEnglish
Article number8983590
Number of pages16
Publication statusPublished - 2018


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