Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach

Sahar Erfanian, Yewang Zhou, Amar Razzaq, Azhar Abbas, Asif Ali Safeer, Teng Li

Open source

DOI: 10.3390/e24101487
Published: 2022-10-18
Container: Entropy
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/e24101487,
  title = {Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach},
  author = {Sahar Erfanian and Yewang Zhou and Amar Razzaq and Azhar Abbas and Asif Ali Safeer and Teng Li},
  year = {2022},
  journal = {Entropy},
  doi = {10.3390/e24101487},
  url = {https://doi.org/10.3390/e24101487}
}

RIS

TY  - JOUR
TI  - Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach
AU  - Sahar Erfanian
AU  - Yewang Zhou
AU  - Amar Razzaq
AU  - Azhar Abbas
AU  - Asif Ali Safeer
AU  - Teng Li
PY  - 2022
JO  - Entropy
DO  - 10.3390/e24101487
UR  - https://doi.org/10.3390/e24101487
ER  -

APA

Erfanian, S., Zhou, Y., Razzaq, A., Abbas, A., Safeer, A. A., & Li, T. (2022). Predicting Bitcoin (BTC) Price in the Context of Economic Theories: A Machine Learning Approach. Entropy. https://doi.org/10.3390/e24101487

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crossref · retrieved 2026-09-25T23:03:32.826Z