A new fuzzy logic controller for trading on the stock market

被引:0
作者
Raimondi, Francesco Maria [1 ]
Pennacchio, Salvatore [1 ]
Via, Pietro
Mule, Marianna
机构
[1] Univ Palermo, Dipartimento Ingn Automaz & Sistemi, I-90128 Palermo, Italy
来源
ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: ARTIFICIAL INTELLIGENCE AND DECISION SUPPORT SYSTEMS | 2007年
关键词
trading systems; fuzzy logic; genetic algorithms; Mib30; technical analysis;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A common problem that financial operators often meet in their own work is to make, at the right moment, the operational choices on the Stock Market. Once the Market to act on has been chosen, the financial operator has to decide when and how to operate on it, in order to achieve a profit. The problem that we are going to deal with is the planning of an automatic decisional system for the management of long positions on bull market. First, a trading system (TS) will be implemented pointing its features out. Then a fuzzy logic implementation of the TS will be introduced (FTS). The fuzzy system will be optimized by the genetic algorithms. Finally, the two different implementations of the trading system will be compared using some performance indexes.
引用
收藏
页码:322 / 329
页数:8
相关论文
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