Intelligent trading systems: A multi-agent hybrid architecture

被引：0
|
作者：
Srikanth, V [1 ]
机构：
[1] Univ Cambridge, Ctr Financial Res, Judge Inst Management Studies, Cambridge CB2 1AG, England
来源：
PROCEEDINGS OF THE IEEE/IAFE 1999 CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR FINANCIAL ENGINEERING | 1999年
关键词：
D O I：
10.1109/CIFER.1999.771107
中图分类号：
F8 [财政、金融];
学科分类号：
0202 ;
摘要：
In this paper we propose an architecture for a multi-agent hybrid intelligent system that can trade in multiple markets. We start by identifying the requirements of an intelligent trading system. We then analyze how intelligent agents can be utilized to construct an intelligent trading system and overcome problems with current approaches. We describe the architecture of Quo Vadis system and conclude by showing how the proposed architecture can integrate multiple methodologies for data-mining, knowledge discovery and soft-computing into a single framework.
引用
收藏
页码：64 / 73
页数：10
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