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Bitcoin daily close price prediction using optimized grid search method Cover

Bitcoin daily close price prediction using optimized grid search method

Acta Universitatis Sapientiae, Informatica
Volume 13 (2021): Issue 2 (December 2021)
By: Marzieh Rostami,  Mahdi Bahaghighat and  Morteza Mohammadi Zanjireh  
Open Access
|Feb 2022

Authors

Marzieh Rostami

mrz.rst@gmail.com

Department of Information Technology Engineering, Raja University of Qazvin, Qazvin, Iran

Mahdi Bahaghighat

Bahaghighat@eng.ikiu.ac.ir

Department of Computer Engineering, Imam Khomeini International University, Qazvin, Iran

Morteza Mohammadi Zanjireh

Zanjireh@eng.ikiu.ac.ir

Department of Computer Engineering, Imam Khomeini International, University, Qazvin, Iran
DOI: https://doi.org/10.2478/ausi-2021-0012 | Journal eISSN: 2066-7760
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Language: English
Page range: 265 - 287
Submitted on: Jul 16, 2021
|
Accepted on: Oct 25, 2021
|
Published on: Feb 2, 2022
Published by: Sapientia Hungarian University of Transylvania
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
bitcoin,
cryptocurrency,
price prediction,
autoregression (AR),
moving average (MA),
ARIMA
Related subjects:
Computer sciences,
Computer sciences, other

© 2022 Marzieh Rostami, Mahdi Bahaghighat, Morteza Mohammadi Zanjireh, published by Sapientia Hungarian University of Transylvania
This work is licensed under the Creative Commons Attribution 4.0 License.

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