Cryptocurrency Price Prediction: A Machine Learning Approach
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IFSA Publishing, S.L.
2020-09-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | https://sensorsportal.com/HTML/DIGEST/september_2020/Vol_244/P_3165.pdf |
| _version_ | 1797756076136857600 |
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| author | Rohit Chivukula T. Jaya Lakshmi |
| author_facet | Rohit Chivukula T. Jaya Lakshmi |
| author_sort | Rohit Chivukula |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T17:55:21Z |
| format | Article |
| id | doaj.art-43d552b4eb4049de98d3bf9902849f2d |
| institution | Directory Open Access Journal |
| issn | 2306-8515 1726-5479 |
| language | English |
| last_indexed | 2024-03-12T17:55:21Z |
| publishDate | 2020-09-01 |
| publisher | IFSA Publishing, S.L. |
| record_format | Article |
| series | Sensors & Transducers |
| spelling | doaj.art-43d552b4eb4049de98d3bf9902849f2d2023-08-02T16:09:34ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792020-09-0124454447Cryptocurrency Price Prediction: A Machine Learning ApproachRohit Chivukula0T. Jaya Lakshmi1School of Computing and Engineering, University of HuddersfieldDepartment of Computer Science and Engineering, SRM UniversityCryptocurrency 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.https://sensorsportal.com/HTML/DIGEST/september_2020/Vol_244/P_3165.pdfmachine learningregressionbitcoin price prediction |
| spellingShingle | Rohit Chivukula T. Jaya Lakshmi Cryptocurrency Price Prediction: A Machine Learning Approach Sensors & Transducers machine learning regression bitcoin price prediction |
| title | Cryptocurrency Price Prediction: A Machine Learning Approach |
| title_full | Cryptocurrency Price Prediction: A Machine Learning Approach |
| title_fullStr | Cryptocurrency Price Prediction: A Machine Learning Approach |
| title_full_unstemmed | Cryptocurrency Price Prediction: A Machine Learning Approach |
| title_short | Cryptocurrency Price Prediction: A Machine Learning Approach |
| title_sort | cryptocurrency price prediction a machine learning approach |
| topic | machine learning regression bitcoin price prediction |
| url | https://sensorsportal.com/HTML/DIGEST/september_2020/Vol_244/P_3165.pdf |
| work_keys_str_mv | AT rohitchivukula cryptocurrencypricepredictionamachinelearningapproach AT tjayalakshmi cryptocurrencypricepredictionamachinelearningapproach |