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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4319
Title: ARIMA Modeling for Bitcoin Price Prediction: Evaluating Accuracy and Performance Metrics
Authors: Anika
Goyal, Ankush
Issue Date: 2023
Publisher: CYBER TECH PUBLICATIONS
Abstract: In recent times, Bitcoin and other cryptocurrencies have gained much notice as fresh alternatives for investment. Our study focuses on using the ARIMA model, which is a common statistical trick for anticipating future Bitcoin values, to add to time series prediction research. The target of our research is to see how accurately this model can guess price changes in Bitcoin over a set period. We gathered daily data on Bitcoin prices and tested it using this model. The data went through a process of altering and transforming its values during the early stages to address issues related to fluctuations and trends in the data. We tailored the ARIMA model to fit the pre-made dataset.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4319
ISSN: 978-93-5053-925-5
Appears in Collections:Book Chapters_ SCSET

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