Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence
College
Gokongwei College of Engineering
Department/Unit
Manufacturing Engineering and Management
Document Type
Conference Proceeding
Source Title
IEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume
2016-January
Publication Date
1-5-2016
Abstract
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.
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Digitial Object Identifier (DOI)
10.1109/TENCON.2015.7372952
Recommended Citation
Morta, R., & Dadios, E. P. (2016). Proposed system for predicting buy, hold and sell recommendations for a publicly listed Philippine company using computational intelligence. IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2016-January https://doi.org/10.1109/TENCON.2015.7372952
Disciplines
Finance and Financial Management | Manufacturing
Keywords
Stock price forecasting--Philippines; Artificial intelligence
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