Master Thesis: Stock Selection Model

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Avatar of Robert Chuang.

Master Thesis: Stock Selection Model

Management Associate
Taipei City, Taiwan
The main purpose of this thesis is to implement the machine learning technique to select good stocks, and because SVMs (support vector machines) functionally work for classifying binary problems, we utilize an SVM to locate good stocks according to various features. Link: https://drive.google.com/open?id=1Tl2Zxe5LqD941SbtGGHF_OpN9pLLHdxi
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Published: Dec 28th 2018
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SVM
Support Vector Machine
Machine Learning
Stock Selection

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