Predicting Stock Prices Using Data Mining Technique

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

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Abstract

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.

Item Type:	Article
Uncontrolled Keywords:	Data Mining, Predicting techniques, Machine Learning
Subjects:	H Social Sciences > HA Statistics H Social Sciences > HG Finance Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Depositing User:	Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited:	10 Aug 2023 01:52
Last Modified:	29 Aug 2024 07:28
URI:	http://eprints.intimal.edu.my/id/eprint/1777

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