Predicting Stock Prices Using Data Mining Technique
The stock market, for a long time, has been known as a complicated yet captivating system. It is a mainstream investment platform for both beginners and financially savvy people to grow and hold their assets. While it remains a good way to earn profit, the stock market is often considered as one of...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2023
|
| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1777/ http://eprints.intimal.edu.my/1777/1/ij2023_35r.pdf http://eprints.intimal.edu.my/1777/2/99 |
| _version_ | 1848766957502857216 |
|---|---|
| author | Thuy, Nguyen Thi Thu Thi-Lich, Nghiem |
| author_facet | Thuy, Nguyen Thi Thu Thi-Lich, Nghiem |
| author_sort | Thuy, Nguyen Thi Thu |
| building | INTI Institutional Repository |
| collection | Online Access |
| description | The stock market, for a long time, has been known as a complicated yet captivating system. It is a mainstream investment platform for both beginners and financially savvy people to grow and hold their assets. While it remains a good way to earn profit, the stock market is often considered as one of the risky approaches, mostly due to the nature of the field, and an enormous number of various factors that not often welcome the naïve investors. Therefore, the demand for using a tool that can support us on an overall view of the market trends, facilitating the financial analysis and strategies to identify the optimal time to purchase stocks and the actual stocks to purchase has risen for many years recently. In this study, we focus on using data mining techniques that can support investors in predicting the stock price with existing data from previous phrases. Given data is taken from Yahoo Finance within the 7-year period from 2015-2022. This data will be used to train the algorithms, then we can decide which one is the most suitable for the data mining tools to give the best suggestions for investors. |
| first_indexed | 2025-11-14T11:57:24Z |
| format | Article |
| id | intimal-1777 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:24Z |
| publishDate | 2023 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-17772025-07-24T05:42:57Z http://eprints.intimal.edu.my/1777/ Predicting Stock Prices Using Data Mining Technique Thuy, Nguyen Thi Thu Thi-Lich, Nghiem HA Statistics HG Finance QA75 Electronic computers. Computer science The stock market, for a long time, has been known as a complicated yet captivating system. It is a mainstream investment platform for both beginners and financially savvy people to grow and hold their assets. While it remains a good way to earn profit, the stock market is often considered as one of the risky approaches, mostly due to the nature of the field, and an enormous number of various factors that not often welcome the naïve investors. Therefore, the demand for using a tool that can support us on an overall view of the market trends, facilitating the financial analysis and strategies to identify the optimal time to purchase stocks and the actual stocks to purchase has risen for many years recently. In this study, we focus on using data mining techniques that can support investors in predicting the stock price with existing data from previous phrases. Given data is taken from Yahoo Finance within the 7-year period from 2015-2022. This data will be used to train the algorithms, then we can decide which one is the most suitable for the data mining tools to give the best suggestions for investors. INTI International University 2023-08 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1777/1/ij2023_35r.pdf text en cc_by_4 http://eprints.intimal.edu.my/1777/2/99 Thuy, Nguyen Thi Thu and Thi-Lich, Nghiem (2023) Predicting Stock Prices Using Data Mining Technique. INTI JOURNAL, 2023 (35). pp. 1-6. ISSN e2600-7320 https://intijournal.intimal.edu.my |
| spellingShingle | HA Statistics HG Finance QA75 Electronic computers. Computer science Thuy, Nguyen Thi Thu Thi-Lich, Nghiem Predicting Stock Prices Using Data Mining Technique |
| title | Predicting Stock Prices Using Data Mining Technique |
| title_full | Predicting Stock Prices Using Data Mining Technique |
| title_fullStr | Predicting Stock Prices Using Data Mining Technique |
| title_full_unstemmed | Predicting Stock Prices Using Data Mining Technique |
| title_short | Predicting Stock Prices Using Data Mining Technique |
| title_sort | predicting stock prices using data mining technique |
| topic | HA Statistics HG Finance QA75 Electronic computers. Computer science |
| url | http://eprints.intimal.edu.my/1777/ http://eprints.intimal.edu.my/1777/ http://eprints.intimal.edu.my/1777/1/ij2023_35r.pdf http://eprints.intimal.edu.my/1777/2/99 |