Title :
Fuzzy rule-based stock trading system
Author :
Yeh, I-cheng ; Lien, Che-hui
Author_Institution :
Department of Information Management, Chung-Hua University, Hsin Chu 30067, Taiwan
Abstract :
Our study investigates the generalization capability of fuzzy rule-based trading systems and conducted an empirical study on Taiwan´s stock market during 1991/1/1–2010/12/31. The empirical conclusions are as follows (1) The investment performance in the training period is much better than that in the testing period, which exhibits over-learning. (2) The symmetry rules approach demonstrates that the pure price trend trading system is better than the pure volume trend trading system and hybrid price-volume trend trading system. The pure volume trend trading system is the poorest system. (3) The asymmetry rules approach demonstrates that the trading system optimized in one period may be performed poorer in another period. The pure price trend buy-rule combined with the pure volume trend sell-rule has good performance in 1991–2000 but acts poorly in 2001–2010.
Keywords :
Decision making; Investments; Response surface methodology; Shape; Stock markets; Testing; Training; fuzzy rule; market timing; moving average; over-learning; stock market;
Conference_Titel :
Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
Conference_Location :
Taipei, Taiwan
Print_ISBN :
978-1-4244-7315-1
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2011.6007632