Title: Bitcoin price prediction using ARIMA model
Authors: M. Poongodi; V. Vijayakumar; Naveen Chilamkurti
Addresses: Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University Qatar Foundation, Doha, Qatar; School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India ' School of Computing Science and Engineering, Vellore Instititue of Technology, Chennai, Tamil Nadu, India ' Department of Computer Science and IT, La Trobe University, Melbourne, Australia
Abstract: Bitcoin is a highly volatile cryptocurrency with rising popularity. It is a turning point in the way currency is seen. Now the currency, rather than being physical is becoming more and more digital. Due to high variance of solo mining, the number of users joining top most famous bitcoin mining pools is increasing due to the fact that users together under a bitcoin pool will have a higher chance of generating next block in the bitcoins blockchain by reducing the variance and earning the mining reward. In this research paper we are doing a survey on the technology lying underneath bitcoin's network and the various machine learning predictive algorithms. We collected the dataset on bitcoin blockchain from 28 April 2013 to 31 July 2017 which is publicly available on https://coinmarketcap.com and applied the ARIMA model for price prediction of bitcoin.
Keywords: ARIMA model; bitcoin; cryptocurrency; blockchain; mining; predictive analysis; regression model; neural network; support vector machine; SVM; Bayesian model.
International Journal of Internet Technology and Secured Transactions, 2020 Vol.10 No.4, pp.396 - 406
Received: 06 Sep 2018
Accepted: 11 Sep 2018
Published online: 03 Jul 2020 *