Applying Frequent Itemsets on Analyzing Stock Trading
| Autor: | Po-Chen Chen, 陳柏蓁 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 Recently, with the improvement of technology that could not withstand large amounts of data analysis were replaced. Among them, the application of data mining in stock market trading is the development direction of many experts and scholars. Since stock trading is a fairly common financial investment tool, investors are most concerned about the proper timing of buying and selling and increasing returns. This study using frequent itemsets mining, choosing Taiwan’50 stocks as the research sample, and select the legal person of trading stocks data and economic indicators and stocks basic information from 2013 to 2015 to explore the relationship between the timing of the legal persons buying and selling and various influencing factors, further analyzes the decision to construct the possible trading strategy in order to provide retail investors with reference trading information. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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