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...
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| Main Authors: | , |
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| Format: | text |
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Animo Repository
2016
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| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/1880 https://animorepository.dlsu.edu.ph/context/faculty_research/article/2879/type/native/viewcontent |
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| Institution: | De La Salle University |
| Summary: | 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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