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Vol. 244, Issue 5, September 2020, pp. 44-47

 

Bullet

 

Cryptocurrency Price Prediction: A Machine Learning Approach
 

1 Rohit Chivukula, 2, * T. Jaya Lakshmi

1 School of Computing and Engineering, University of Huddersfield, Huddersfield, United Kingdom
2 Department of Computer Science and Engineering, SRM University, AP, Andhra Pradesh, India

* E-mail: jaya.phd.hcu@gmail.com

 

Received: 25 September 2020 /Accepted: 28 August 2020 /Published: 30 September 2020

Digital Sensors and Sensor Sysstems

 

Abstract: Cryptocurrency is used worldwide for digital payment or simply for investment purposes. Bitcoin price prediction is an interesting research problem in current scenario. In this paper, we have studied the application of machine learning approach in predicting the future price of bitcoin. Many dynamic factors effect Bitcoin prices and accurate predictions form strong base for investment decisions. In this study, we have collected the live data corresponding to bitcoin from quindle.com containing 8 features. Then we have compared the prediction performance of 11 regression algorithms. It is found that Lasso regression with a combination of generalized linear regression outperformed others with an improvement of 9 % accuracy over other regression algorithms.

 

Keywords: Machine Learning, Regression, Bitcoin price prediction.

 

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