A Machine Learning Approach for Bitcoin Forecasting

Stefano Sossi-Rojas, Gissel Velarde, Damian Zieba

Open source

DOI: 10.3390/engproc2023039027
Published: 2023-06-29
Container: ITISE 2023
Publisher: MDPI
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/engproc2023039027,
  title = {A Machine Learning Approach for Bitcoin Forecasting},
  author = {Stefano Sossi-Rojas and Gissel Velarde and Damian Zieba},
  year = {2023},
  journal = {ITISE 2023},
  doi = {10.3390/engproc2023039027},
  url = {https://doi.org/10.3390/engproc2023039027}
}

RIS

TY  - JOUR
TI  - A Machine Learning Approach for Bitcoin Forecasting
AU  - Stefano Sossi-Rojas
AU  - Gissel Velarde
AU  - Damian Zieba
PY  - 2023
JO  - ITISE 2023
DO  - 10.3390/engproc2023039027
UR  - https://doi.org/10.3390/engproc2023039027
ER  -

APA

Sossi-Rojas, S., Velarde, G., & Zieba, D. (2023). A Machine Learning Approach for Bitcoin Forecasting. ITISE 2023. https://doi.org/10.3390/engproc2023039027

Source records

crossref · retrieved 2026-09-26T20:02:23.047Z