Review on Bitcoin Price Prediction Using Machine Learning and Statistical Methods-Reference-Cited by-同舟云学术

Review on Bitcoin Price Prediction Using Machine Learning and Statistical Methods

Published:2020-12-02 Issue: Volume: Page:
ISSN:2636-8129
Container-title:Sakarya University Journal of Computer and Information Sciences
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Author:

KERVANCI I.sibel,AKAY Fatih

Publisher

Sakarya University Journal of Computer and Information Sciences

Reference38 articles.

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3. [3] O. D. Juarez and H. E. Manzanilla , «Forecasting Bitcoin Pricing with Hybrid Models A Review of The Literature,» International Journal of Advanced Engineering Research and Science (IJAERS), vol 6, no. 9, pp. 161-164, Sept 2019.

4. [4] H. Garrick and M. Rauchs, «Global cryptocurrency benchmarking study,» Cambridge Centre for Alternative Finance, 2017. [5] H. Ince and T. B. Trafalis, «A Hybrid Model for Exchange Rate Prediction,» Decision Support Systems, vol 42, p. 1054–1062, 2006.

5. [6] I. N. Indera, I. M. Yassin, A. Zabidi and Z. I. Rizman, «Non-Linear Autoregressive with Exogeneous Input (NARX) Bitcoin Price Prediction Model Using PSO-Optimized Parameters Optimized Parameters,» Journal of fundamental and applied sciences, vol 9, no. 3S, p. 791, 10 September 2017.

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