An artificial trading system

Hunter, Andrew (1993) An artificial trading system. Working Paper. University of Sunderland. (Unpublished)

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Abstract

The classical approach to the modelling of complex dynamics systems is to use mathematical techniques such as differential equations to approximate observed global behaviours. For some systems, this approach is inadequate. An artificial trading system is specified using simple rules to conduct trade between entities which are represented using adaptive computational paradgims. Evolution is used to develop the entities, which complete to gain wealth. The global dynamics produced by the interaction of the individual strategies can be studied, to gain an insight into the behaviour of real trading systems, and of complex dynamic systems in general. The system provides a test-bed for experimentation on adaptive computational paradigms.

Item Type:Paper or Report (Working Paper)
Additional Information:The classical approach to the modelling of complex dynamics systems is to use mathematical techniques such as differential equations to approximate observed global behaviours. For some systems, this approach is inadequate. An artificial trading system is specified using simple rules to conduct trade between entities which are represented using adaptive computational paradgims. Evolution is used to develop the entities, which complete to gain wealth. The global dynamics produced by the interaction of the individual strategies can be studied, to gain an insight into the behaviour of real trading systems, and of complex dynamic systems in general. The system provides a test-bed for experimentation on adaptive computational paradigms.
Keywords:artificial trading system, computational paradigms, dynamics systems, global dynamics
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:2842
Deposited By: Rosaline Smith
Deposited On:03 Aug 2010 15:56
Last Modified:13 Mar 2013 08:41

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