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

• 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
• Institution: De La Salle University

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...