The week's pick
Reseach Article
Analysis and Prediction of Stock Market Mining using Machine Learning Clustering Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 7 |
| Year of Publication: 2021 |
| Authors: Zahraa Elsayed Mohamed, El-Amin Kamal El-Din El-Mesalamy |
10.5120/ijca2021921366
|
Zahraa Elsayed Mohamed, El-Amin Kamal El-Din El-Mesalamy . Analysis and Prediction of Stock Market Mining using Machine Learning Clustering Technique. International Journal of Computer Applications. 183, 7 ( Jun 2021), 39-44. DOI=10.5120/ijca2021921366
Abstract
Stock market plays a vital role in a country’s economy and it is an important consideration in all the fields due to its potential financial gain. This paper shows that data mining and unsupervised machine learning technique could be used to guide an investor’s decisions. A model has been built using data mining future stock price, whether stock price go high or low can be predicted. Moreover, the best clustering indicators in Egypt Stock Exchange for all the 30 companies (EGX30) during first half year of 2019 has been identified.
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