Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This research examines the price volatility of Bitcoin and predicts its future price with the ARIMA (AutoRegressive Integrated Moving Average) model. Due to the high uncertainty and speculative characteristics of Bitcoin, precise price prediction is essential for investors to make effective decisions. The data used cover a three-year period (January 1, 2020, to March 1, 2023) and consist of daily Bitcoin prices and percentage changes. The ARIMA model was utilized to predict Bitcoin prices over the short-term horizon of nine days, and the forecasted values were compared against actual prices to assess model performance. Results showed an average prediction error of around 7.63%, suggesting that while ARIMA gives a reasonably accurate prediction, its accuracy may be improved using more historical data. The research concludes ARIMA as a potential model for short-term Bitcoin price forecasting but reiterates the requirement of more comprehensive datasets or different models like ARIMA-GARCH or machine learning methods for better accuracy.
Keywords:
BITCOIN PRICING
Cite Article:
"BITCOIN PRICING USING ARIMA MODEL ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.c364-c374, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505242.pdf
Downloads:
000490
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator