Title
A multi-agent framework for stock trading
Abstract
TrAgent is a secure multi-agent environment which models a stock exchange such as the New York Stock Exchange and the procedure of trading securities on the trading floor. The model comprises the complete process from the initiation of a trading order until its execution and also deals with the security issues involved. The multi-agent paradigm is the framework for implementation of the system. The properties of intelligent software agents meet the characteristics of the actors on the trading floor and provide capabilities for efficient distributed computing. These characteristics include dynamic and flexible adoption to a changing scene, asynchronous and autonomous behaviour, and efficient use of resources in a distributed environment. The main focus in this paper is on one of the important agents in TrAgent, the stock broker agent. Intelligence is provided to the stock broker agent in order to make decisions and give reasons on the profitability of a firm. This intelligence is formed using fuzzy expert system. The paper further discusses the implementation issues concerning different components of the model and their security framework.
Year
DOI
Venue
2009
10.1504/IJIIDS.2009.025163
IJIIDS
Keywords
Field
DocType
fuzzy logic,multi agent systems,software agents,intelligent agents,artificial intelligence,distributed computing
Trading strategy,Intelligent agent,Distributed Computing Environment,Computer science,Stock exchange,Multi-agent system,Artificial intelligence,Electronic trading,Operations research,Software agent,Alternative trading system,Machine learning,Process management
Journal
Volume
Issue
Citations 
3
2
4
PageRank 
References 
Authors
0.46
13
4
Name
Order
Citations
PageRank
Shahram Rahimi117240.74
Raju Tatikunta240.80
Raheel Ahmad327047.49
B. Gupta415251.48