Bitcoin price forecasting based on historical data
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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| Format: | Praca dyplomowa |
| Język: | English |
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BRAC University
2018
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| Dostęp online: | http://hdl.handle.net/10361/10964 |
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10361-10964 |
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10361-109642022-01-26T10:18:28Z Bitcoin price forecasting based on historical data Roy, Shaily Nanjiba, Samiha Chakrabarty, Amitabha Department of Computer Science and Engineering, BRAC University Bitcoin Time series analysis Regression Machine learning ARIMA Historical data Electronic commerce. Electronic funds transfers. This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 38-41). Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it has become widely popular amongst various kinds of people for its trading system without the need of a third party and also due to high volatility of Bitcoin price. In this thesis, our aim is to be able to propose a suitable model that can predict the market price of Bitcoin best by applying a few statistical analysis. We have used Time series method specially Autoregressive Integrated Moving Average (ARIMA) model which can absolutely be called "learning algorithms" and be considered as a part of machine learning (ML) similarly with respect to regression. The work, at last could acquire the accuracy for deciding volatility in weighted costs, with an exactness of 91%. Shaily Roy Samiha Nanjiba B. Computer Science and Engineering 2018-12-04T09:22:52Z 2018-12-04T09:22:52Z 2018 2018-07 Thesis ID 15101137 ID 15101134 http://hdl.handle.net/10361/10964 en BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 41 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Bitcoin Time series analysis Regression Machine learning ARIMA Historical data Electronic commerce. Electronic funds transfers. |
| spellingShingle |
Bitcoin Time series analysis Regression Machine learning ARIMA Historical data Electronic commerce. Electronic funds transfers. Roy, Shaily Nanjiba, Samiha Bitcoin price forecasting based on historical data |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Chakrabarty, Amitabha |
| author_facet |
Chakrabarty, Amitabha Roy, Shaily Nanjiba, Samiha |
| format |
Thesis |
| author |
Roy, Shaily Nanjiba, Samiha |
| author_sort |
Roy, Shaily |
| title |
Bitcoin price forecasting based on historical data |
| title_short |
Bitcoin price forecasting based on historical data |
| title_full |
Bitcoin price forecasting based on historical data |
| title_fullStr |
Bitcoin price forecasting based on historical data |
| title_full_unstemmed |
Bitcoin price forecasting based on historical data |
| title_sort |
bitcoin price forecasting based on historical data |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10964 |
| work_keys_str_mv |
AT royshaily bitcoinpriceforecastingbasedonhistoricaldata AT nanjibasamiha bitcoinpriceforecastingbasedonhistoricaldata |
| _version_ |
1814308881052991488 |