Mining of Ensemble Stock Timing Trading Rules Based on Gene Expression Programming
碩士 === 輔仁大學 === 資訊管理學系 === 100 === The main purpose of this study is to solve parameter design of traditional gene expression programming (GEP), and construct the optimal stock trading rules with ensemble learning strategy. Hope to solve the investment behavior of investor overconfidence and disposi...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/08657533238108543707 |