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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: BITCOIN PRICING USING ARIMA MODEL
Authors Name: Sujal Sethia
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IJRTI_204131
Published Paper Id: IJRTI2505242
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: 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
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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
Publication Details: Published Paper ID: IJRTI2505242
Registration ID:204131
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: c364-c374
Country: Nagpur, Maharashtra, India
Research Area: Commerce
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505242
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505242
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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