Результаты исследований: Вклад в журнал › Материалы конференции › Рецензирование
Результаты исследований: Вклад в журнал › Материалы конференции › Рецензирование
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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