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A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms. / Saif, M.; Sadrislamova, Zh.
In: AIP Conference Proceedings, Vol. 2849, No. 1, 090015, 2023.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Saif, M & Sadrislamova, Z 2023, 'A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms', AIP Conference Proceedings, vol. 2849, no. 1, 090015. https://doi.org/10.1063/5.0164023

APA

Saif, M., & Sadrislamova, Z. (2023). A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms. AIP Conference Proceedings, 2849(1), [090015]. https://doi.org/10.1063/5.0164023

Vancouver

Saif M, Sadrislamova Z. A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms. AIP Conference Proceedings. 2023;2849(1):090015. doi: 10.1063/5.0164023

Author

Saif, M. ; Sadrislamova, Zh. / A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms. In: AIP Conference Proceedings. 2023 ; Vol. 2849, No. 1.

BibTeX

@article{75cdefb0c6644ab997cecd77d8501d81,
title = "A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms",
abstract = "This paper proposes a new machine learning (ML) model to predict the percentage change of a certain cryptocurrency within a day or a week using sentiments, subjectivity, ticker mention and other parameters that can be extracted from users' activity on different crypto community platforms such as Reddit and Bitcointalk. The results show quite good correlation between these parameters and the price change, and in almost 85% of the cases the price is moving into the predicted direction. {\textcopyright} 2023 American Institute of Physics Inc.. All rights reserved.",
author = "M. Saif and Zh. Sadrislamova",
year = "2023",
doi = "10.1063/5.0164023",
language = "English",
volume = "2849",
journal = "AIP Conference Proceedings",
issn = "0094-243X",
publisher = "American Institute of Physics Publising LLC",
number = "1",

}

RIS

TY - JOUR

T1 - A new model of cryptocurrency price change prediction based on social data collected from crypto community platforms

AU - Saif, M.

AU - Sadrislamova, Zh.

PY - 2023

Y1 - 2023

N2 - This paper proposes a new machine learning (ML) model to predict the percentage change of a certain cryptocurrency within a day or a week using sentiments, subjectivity, ticker mention and other parameters that can be extracted from users' activity on different crypto community platforms such as Reddit and Bitcointalk. The results show quite good correlation between these parameters and the price change, and in almost 85% of the cases the price is moving into the predicted direction. © 2023 American Institute of Physics Inc.. All rights reserved.

AB - This paper proposes a new machine learning (ML) model to predict the percentage change of a certain cryptocurrency within a day or a week using sentiments, subjectivity, ticker mention and other parameters that can be extracted from users' activity on different crypto community platforms such as Reddit and Bitcointalk. The results show quite good correlation between these parameters and the price change, and in almost 85% of the cases the price is moving into the predicted direction. © 2023 American Institute of Physics Inc.. All rights reserved.

UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85176795709

U2 - 10.1063/5.0164023

DO - 10.1063/5.0164023

M3 - Conference article

VL - 2849

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

SN - 0094-243X

IS - 1

M1 - 090015

ER -

ID: 48547607