Stock price predication based on KNN and its ensemble model
In order to verify the assume that stock price movement is similar to the past，pricing movement is simply dividend into up and down by K-Nearest Neighbor algorithm for forecasting. Sliding window method is used for comparing which historical period is more similar to the current in data feature. Mul...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Chinês |
| Publicat: |
National Computer System Engineering Research Institute of China
2019-05-01
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| Col·lecció: | Dianzi Jishu Yingyong |
| Matèries: | |
| Accés en línia: | http://www.chinaaet.com/article/3000101165 |
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