BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET
Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Informatics Department, Faculty of Computer Science Bina Darma University
2019-03-01
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| Series: | Journal of Information Systems and Informatics |
| Subjects: | |
| Online Access: | http://journal-isi.org/index.php/isi/article/view/7 |
| _version_ | 1811228359586217984 |
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| author | Ferdiansyah Ferdiansyah Edi Surya Negara Yeni Widyanti |
| author_facet | Ferdiansyah Ferdiansyah Edi Surya Negara Yeni Widyanti |
| author_sort | Ferdiansyah Ferdiansyah |
| collection | DOAJ |
| description | Cryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the market |
| first_indexed | 2024-04-12T09:57:33Z |
| format | Article |
| id | doaj.art-718640790b0e4ce99394dc07906db870 |
| institution | Directory Open Access Journal |
| issn | 2656-5935 2656-4882 |
| language | English |
| last_indexed | 2024-04-12T09:57:33Z |
| publishDate | 2019-03-01 |
| publisher | Informatics Department, Faculty of Computer Science Bina Darma University |
| record_format | Article |
| series | Journal of Information Systems and Informatics |
| spelling | doaj.art-718640790b0e4ce99394dc07906db8702022-12-22T03:37:39ZengInformatics Department, Faculty of Computer Science Bina Darma UniversityJournal of Information Systems and Informatics2656-59352656-48822019-03-0111707710.33557/journalisi.v1i1.77BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKETFerdiansyah Ferdiansyah0Edi Surya Negara1Yeni Widyanti2Universitas Bina DarmaBina Darma UniversityBina Darma UniversityCryptocurrency trade is now a popular type of investment. Cryptocurrency market has been treated similar to foreign exchange and stock market. The Characteristics of Bitcoin have made Bitcoin keep rising In the last few years. Bitcoin exchange rate to American Dollar (USD) is $3990 USD on November 2018, with daily pice fluctuations could reach 4.55%2. It is important to able to predict value to ensure profitable investment. However, because of its volatility, there’s a need for a prediction tool for investors to help them consider investment decisions for cryptocurrency trade. Nowadays, computing based tools are commonly used in stock and foreign exchange market predictions. There has been much research about SVM prediction on stocks and foreign exchange as case studies but none on cryptocurrency. Therefore, this research studied method to predict the market value of one of the most used cryptocurrency, Bitcoin. The preditct methods will be used on this research is regime prediction to develop model to predict the close value of Bitcoin and use Support vector classifier algorithm to predict the current day’s trend at the opening of the markethttp://journal-isi.org/index.php/isi/article/view/7CyrptocurrencyPrediction BitcoinSVM |
| spellingShingle | Ferdiansyah Ferdiansyah Edi Surya Negara Yeni Widyanti BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET Journal of Information Systems and Informatics Cyrptocurrency Prediction Bitcoin SVM |
| title | BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET |
| title_full | BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET |
| title_fullStr | BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET |
| title_full_unstemmed | BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET |
| title_short | BITCOIN-USD TRADING USING SVM TO DETECT THE CURRENT DAY’S TREND IN THE MARKET |
| title_sort | bitcoin usd trading using svm to detect the current day s trend in the market |
| topic | Cyrptocurrency Prediction Bitcoin SVM |
| url | http://journal-isi.org/index.php/isi/article/view/7 |
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