Title
Bitcoin price forecasting with neuro-fuzzy techniques
Abstract
•We forecast the trend in the daily price of bitcoin with a hybrid Neuro-Fuzzy model.•The proposed methodology outperforms two other computational intelligence models.•The investment returns of the proposed model outperform a naive buy and hold strategy.
Year
DOI
Venue
2019
10.1016/j.ejor.2019.01.040
European Journal of Operational Research
Keywords
Field
DocType
Artificial intelligence,Fuzzy sets,Neuro-fuzzy forecasting,Bitcoin price forecasting
Econometrics,Neuro-fuzzy,Mathematical optimization,Computational intelligence,Investment strategy,Decision support system,Fuzzy set,Cryptocurrency,Artificial neural network,Mathematics,Rate of return
Journal
Volume
Issue
ISSN
276
2
0377-2217
Citations 
PageRank 
References 
3
0.42
11
Authors
4
Name
Order
Citations
PageRank
George S. Atsalakis127613.00
Ioanna G. Atsalaki230.42
Fotios Pasiouras313311.01
Constantin Zopounidis4106690.47