Breakout Stocks Identification using Machine Learning Approaches
Stock market offers a platform for people to engage in trading. It contributes to the growth of nation. Decision making regarding investments needs to be done very carefully so that an investor does not suffer massive loss. Since the share market is susceptible to experience huge change at any given...
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| Format: | Article |
| Language: | English |
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Ecole Nationale Polytechnique
2022-12-01
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| Series: | ENP Engineering Science Journal |
| Subjects: | |
| Online Access: | https://enpesj.enp.edu.dz/index.php/enpesj/article/view/173 |
| _version_ | 1797975415066722304 |
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| author | Md. Siam Ansary |
| author_facet | Md. Siam Ansary |
| author_sort | Md. Siam Ansary |
| collection | DOAJ |
| description | Stock market offers a platform for people to engage in trading. It contributes to the growth of nation. Decision making regarding investments needs to be done very carefully so that an investor does not suffer massive loss. Since the share market is susceptible to experience huge change at any given moment, with the probability of profit comes huge risks of losing a fortune. In our research, we have worked on prediction of breakout stocks. If identified properly, it can help one to invest efficiently. We have used multiple machine learning approaches as ML models can offer more effective predictions compared to other methods due to the ability to learn and adapt from dataset information. In our experiment, the models have yielded very good results. |
| first_indexed | 2024-04-11T04:35:09Z |
| format | Article |
| id | doaj.art-c7f950f3e623469f94047e57a4f8a013 |
| institution | Directory Open Access Journal |
| issn | 2716-912X 2773-4293 |
| language | English |
| last_indexed | 2024-04-11T04:35:09Z |
| publishDate | 2022-12-01 |
| publisher | Ecole Nationale Polytechnique |
| record_format | Article |
| series | ENP Engineering Science Journal |
| spelling | doaj.art-c7f950f3e623469f94047e57a4f8a0132022-12-28T20:51:40ZengEcole Nationale PolytechniqueENP Engineering Science Journal2716-912X2773-42932022-12-0122525610.53907/enpesj.v2i2.173174Breakout Stocks Identification using Machine Learning ApproachesMd. Siam Ansary0Ahsanullah University of Science and Technology, BANGLADESHStock market offers a platform for people to engage in trading. It contributes to the growth of nation. Decision making regarding investments needs to be done very carefully so that an investor does not suffer massive loss. Since the share market is susceptible to experience huge change at any given moment, with the probability of profit comes huge risks of losing a fortune. In our research, we have worked on prediction of breakout stocks. If identified properly, it can help one to invest efficiently. We have used multiple machine learning approaches as ML models can offer more effective predictions compared to other methods due to the ability to learn and adapt from dataset information. In our experiment, the models have yielded very good results.https://enpesj.enp.edu.dz/index.php/enpesj/article/view/173machine learningbreakout stockstock marketstock |
| spellingShingle | Md. Siam Ansary Breakout Stocks Identification using Machine Learning Approaches ENP Engineering Science Journal machine learning breakout stock stock market stock |
| title | Breakout Stocks Identification using Machine Learning Approaches |
| title_full | Breakout Stocks Identification using Machine Learning Approaches |
| title_fullStr | Breakout Stocks Identification using Machine Learning Approaches |
| title_full_unstemmed | Breakout Stocks Identification using Machine Learning Approaches |
| title_short | Breakout Stocks Identification using Machine Learning Approaches |
| title_sort | breakout stocks identification using machine learning approaches |
| topic | machine learning breakout stock stock market stock |
| url | https://enpesj.enp.edu.dz/index.php/enpesj/article/view/173 |
| work_keys_str_mv | AT mdsiamansary breakoutstocksidentificationusingmachinelearningapproaches |