An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting
Forecasting accurate future price is very important in financial sector. An optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) is introduced in forecasting the cryptocurrency future price. It is part of Artificial Intelligence (AI) that uses previous experience to fore...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
Elsevier B.V.
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/82311/ http://irep.iium.edu.my/82311/1/82311_An%20Optimized%20Support%20Vector%20Machine.pdf http://irep.iium.edu.my/82311/2/82311_An%20Optimized%20Support%20Vector%20Machine_SCOPUS.pdf |
| _version_ | 1848789275772977152 |
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| author | Hitam, Nor Azizah Ismail, Amelia Ritahani Saeed, Faisal |
| author_facet | Hitam, Nor Azizah Ismail, Amelia Ritahani Saeed, Faisal |
| author_sort | Hitam, Nor Azizah |
| building | IIUM Repository |
| collection | Online Access |
| description | Forecasting accurate future price is very important in financial sector. An optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) is introduced in forecasting the cryptocurrency future price. It is part of Artificial Intelligence (AI) that uses previous experience to forecast future price. Analysts and investors generally combine fundamental and technical analysis prior to decide the best price to execute their trades. Some may use Machine Learning Algorithms to execute their trades. However, forecasting result using basic SVM algorithms does not really promising. On the other hands, Particle Swarm Optimization (PSO) is known as a better algorithm for a static and simple optimization problem. Therefore, PSO is introduced to optimize the algorithms of SVM in cryptocurrency forecasting. The experiment of selected cryptocurrencies is conducted for this classifier. The experimental result demonstrates that an optimized SVM-PSO algorithm can effectively forecast the future price of cryptocurrency thus outperforms the single SVM algorithms. © 2019 The Authors. Published by Elsevier B.V. |
| first_indexed | 2025-11-14T17:54:08Z |
| format | Proceeding Paper |
| id | iium-82311 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:54:08Z |
| publishDate | 2019 |
| publisher | Elsevier B.V. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-823112020-08-19T03:54:09Z http://irep.iium.edu.my/82311/ An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting Hitam, Nor Azizah Ismail, Amelia Ritahani Saeed, Faisal T Technology (General) Forecasting accurate future price is very important in financial sector. An optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) is introduced in forecasting the cryptocurrency future price. It is part of Artificial Intelligence (AI) that uses previous experience to forecast future price. Analysts and investors generally combine fundamental and technical analysis prior to decide the best price to execute their trades. Some may use Machine Learning Algorithms to execute their trades. However, forecasting result using basic SVM algorithms does not really promising. On the other hands, Particle Swarm Optimization (PSO) is known as a better algorithm for a static and simple optimization problem. Therefore, PSO is introduced to optimize the algorithms of SVM in cryptocurrency forecasting. The experiment of selected cryptocurrencies is conducted for this classifier. The experimental result demonstrates that an optimized SVM-PSO algorithm can effectively forecast the future price of cryptocurrency thus outperforms the single SVM algorithms. © 2019 The Authors. Published by Elsevier B.V. Elsevier B.V. 2019 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/82311/1/82311_An%20Optimized%20Support%20Vector%20Machine.pdf application/pdf en http://irep.iium.edu.my/82311/2/82311_An%20Optimized%20Support%20Vector%20Machine_SCOPUS.pdf Hitam, Nor Azizah and Ismail, Amelia Ritahani and Saeed, Faisal (2019) An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting. In: 16th International Learning and Technology Conference, L and T 2019, 30th-31th January 2019, Effat University Jeddah, Saudi Arabia. https://pdf.sciencedirectassets.com/280203/1-s2.0-S1877050919X00198/1-s2.0-S1877050919321647/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEDwaCXVzLWVhc3QtMSJHMEUCIQDHFZCATHckZJuwzX8Ca7nB%2F18rIcE80SGryGhnau991gIgNVQf%2BVjRaTkl1MkGiPUQVdejqckS2S5Hms1epRLgEFIqtAMIJBADGgwwNTkwMDM1NDY4NjUiDEraxhRxVdkyrQfDrSqRAz4XPnabEfGLJEZ3SBMlKfN9jfdFevB2TtggXV2kxU3MlYh0lVr7VD0%2BeOyHR4GX3AexGpzGCaIKSeRQnDmX1GMaYBaPNL11RVwoFpXVuRxtuGTiQfrEREE3DEaFJCXyjsVvUj5mff%2FW7FWasl5p%2B%2FG6Fmw0w5FR7XiGnYUtdUwEhRW4NTGwhomshglHV%2FhdacpzasPyUuF50mwW9LedxuklVXFO2ph8hh5y291LWv50G88nEtMV4XvNLZhJYueNxVPRSJZFiVgSmSJQegswQK2Avz%2BjFTZ3am6dgTg4NkdonZ7kT1t5YQ7of5MrEedpbE2uKKpfaj3OPqMpg%2BROpSzY5dp5oBF%2Fnk%2BiBX45DhH%2F%2BNICgKaz9PVfgAzP8stALJbnoOBzVNYeqbSio5d1Ceu4TItqCjHzuPa%2FQ6RQwc6zokxw%2Fsul4%2FF4KApylAPy4CAvINPWdbU3HU3lS11F8caB6SKKmdCZxtRtx8LuUJ9al1vObQWrltu73VO4D7wtpxGDRdue%2BsQWU01clw3daBJqMKC18vkFOusBRYpq26TUEx04FoFUJQeGgNX4tyU50C3uQu4VqmKnQAcrEovIR0zT1SOX1tuBCvE6VJ7sqrR3ECsciBn8YFvV72MBWKGPtcdObZL89%2ByxR7P5s34jVPz85wUu23lqveoDCn4y2RBGvuLCMs%2Flx2TpKmtUKH4Gmv90oM5qBw6PlzXOIE8u0cZbN8Y%2FPMphbdbNysUPse%2FkA7JHyfruiSJX3Qnp9uqN4hBI7XUFXzhmGwvvcMfUSn3r3x%2Fy2bOCvWYwTfCxbSuFbTTSkV7H5GXHruvkEMlD%2BII1M%2FwiT26Rb%2FSCA9CpI8MWYkfXLQ%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20200819T034335Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYTKKPECXM%2F20200819%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=278ee66d6dc088ab5cc93d115ff70cead6359b9c12af1ca1ffff0a5dace8b53d&hash=379fb566ae828c03e9063362a1af4c6d916587f71d52c5b31033fdfe61350041&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1877050919321647&tid=spdf-5492d721-e6c4-489e-9b6a-ef19715c6fd1&sid=31b360506464e244e74bc9e3fcc740864c2fgxrqa&type=client 10.1016/j.procs.2019.12.125 |
| spellingShingle | T Technology (General) Hitam, Nor Azizah Ismail, Amelia Ritahani Saeed, Faisal An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title | An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title_full | An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title_fullStr | An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title_full_unstemmed | An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title_short | An Optimized Support Vector Machine (SVM) based on Particle Swarm Optimization (PSO) for cryptocurrency forecasting |
| title_sort | optimized support vector machine (svm) based on particle swarm optimization (pso) for cryptocurrency forecasting |
| topic | T Technology (General) |
| url | http://irep.iium.edu.my/82311/ http://irep.iium.edu.my/82311/ http://irep.iium.edu.my/82311/ http://irep.iium.edu.my/82311/1/82311_An%20Optimized%20Support%20Vector%20Machine.pdf http://irep.iium.edu.my/82311/2/82311_An%20Optimized%20Support%20Vector%20Machine_SCOPUS.pdf |