Anticipating Cryptocurrency Prices Using Machine Learning

المؤلفون المشاركون

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

المصدر

Complexity

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-16، 16ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-11-04

دولة النشر

مصر

عدد الصفحات

16

التخصصات الرئيسية

الفلسفة

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1136447