Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence

Stock Price movement is a non-linear Financial Time Series. Short-term stock price prediction is best done through Technical Analysis using Artificial Intelligence to detect patterns and trigger buy and sell signals. This paper aims to develop an expert system using Technical Analysis and Support Ve...

Full description

Saved in:

Bibliographic Details
Main Authors:	Morta, Rene, Dadios, Elmer P.
Format:	text
Published:	Animo Repository 2016
Subjects:	Stock price forecasting > Philippines Artificial intelligence Finance and Financial Management Manufacturing
Online Access:	https://animorepository.dlsu.edu.ph/faculty_research/1880 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2879/type/native/viewcontent
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	De La Salle University

id	oai:animorepository.dlsu.edu.ph:faculty_research-2879
record_format	eprints
spelling	oai:animorepository.dlsu.edu.ph:faculty_research-28792021-07-29T06:39:12Z Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence Morta, Rene Dadios, Elmer P. Stock Price movement is a non-linear Financial Time Series. Short-term stock price prediction is best done through Technical Analysis using Artificial Intelligence to detect patterns and trigger buy and sell signals. This paper aims to develop an expert system using Technical Analysis and Support Vector Machines that emulates the reasoning and decision-making process of a technical analyst as applied to the Buy, Hold and Sell recommendations of Stock Price of two publicly listed companies in the Philippines. © 2015 IEEE. 2016-01-05T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/1880 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2879/type/native/viewcontent Faculty Research Work Animo Repository Stock price forecasting--Philippines Artificial intelligence Finance and Financial Management Manufacturing
institution	De La Salle University
building	De La Salle University Library
continent	Asia
country	Philippines Philippines
content_provider	De La Salle University Library
collection	DLSU Institutional Repository
topic	Stock price forecasting--Philippines Artificial intelligence Finance and Financial Management Manufacturing
spellingShingle	Stock price forecasting--Philippines Artificial intelligence Finance and Financial Management Manufacturing Morta, Rene Dadios, Elmer P. Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
description	Stock Price movement is a non-linear Financial Time Series. Short-term stock price prediction is best done through Technical Analysis using Artificial Intelligence to detect patterns and trigger buy and sell signals. This paper aims to develop an expert system using Technical Analysis and Support Vector Machines that emulates the reasoning and decision-making process of a technical analyst as applied to the Buy, Hold and Sell recommendations of Stock Price of two publicly listed companies in the Philippines. © 2015 IEEE.
format	text
author	Morta, Rene Dadios, Elmer P.
author_facet	Morta, Rene Dadios, Elmer P.
author_sort	Morta, Rene
title	Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
title_short	Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
title_full	Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
title_fullStr	Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
title_full_unstemmed	Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
title_sort	proposed system for predicting buy, hold and sell recommendations for a publicly listed philippine company using computational intelligence
publisher	Animo Repository
publishDate	2016
url	https://animorepository.dlsu.edu.ph/faculty_research/1880 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2879/type/native/viewcontent
_version_	1707059166695129088

Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence

Similar Items