Strategy of futures trading mechanism using extended classifier system

Tung Wan Cheng*, Wen Chih Tsai, An-Pin Chen

*此作品的通信作者

研究成果: Conference contribution同行評審

3 引文 斯高帕斯(Scopus)

摘要

Nowadays many artificial intelligent trading models divided the process in three separate subprocesses: trading, validation and application, but these models cannot meet the request of today's trading environment. A new online learning algorithm, extended classifier system (XCS) is used in futures extended classifier trading mechanism (FXCTM) to satisfy traders' requirement. This paper verifies that FXCTM provides a very good forecast ability in futures market trading performance. Also, this paper discusses about how the population set of XCS affects the result of the model. Finally, the simulation results show that this model could get an obvious profit from futures market.

原文English
主出版物標題2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
編輯R.R. Yager, V.S. Sgurev, V.S. Jotsov, P.D. Koprinkova-Hristova
頁面503-507
頁數5
DOIs
出版狀態Published - 22 6月 2004
事件2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings - Varna, 保加利亞
持續時間: 22 6月 200424 6月 2004

出版系列

名字2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
2

Conference

Conference2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings
國家/地區保加利亞
城市Varna
期間22/06/0424/06/04

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