Efficient Stock-Market Prediction Using Ensemble Support Vector Machine

Efficient Stock-Market Prediction Using Ensemble Support Vector Machine

Predicting stock-price remains an important subject of discussion among financial analysts and researchers. However, the advancement in technologies such as artificial intelligence and machine learning techniques has paved the way for better and accurate prediction of stock-price in recent years. Of...

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Bibliographic Details
Main Authors: Nti Isaac Kofi, Adekoya Adebayo Felix, Weyori Benjamin Asubam
Format: Article
Language:English
Published: De Gruyter 2020-07-01
Series:Open Computer Science
Subjects:
stock market
ensemble methods
genetic algorithm
ghana-stock-exchange
random forest
decision trees
support vector machine
neural networks
stock market prediction
trading strategies
Online Access:http://www.degruyter.com/view/j/comp.2020.10.issue-1/comp-2020-0199/comp-2020-0199.xml?format=INT

Internet

http://www.degruyter.com/view/j/comp.2020.10.issue-1/comp-2020-0199/comp-2020-0199.xml?format=INT

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