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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM30380
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This study aims to develop a predictive model for Bitcoin market price utilizing statistical analysis methods. By analyzing four years of Bitcoin data, our research focuses on the time series approach, specifically the ARIMA model, to forecast Bitcoin price volatility accurately. The model has shown promising results, achieving an accuracy rate of 90% in predicting short-term fluctuations in Bitcoin prices
KEYWORDS
Publication Date
12/31/45390
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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