A model for the configurable composition and synchronization of complex trading activities | Zendy

YainWhar Si | Zendy; David Edmond | Zendy; Arthur H. M. ter Hofstede | Zendy; Marlon Dumas | Zendy

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A model for the configurable composition and synchronization of complex trading activities

Author(s) -

YainWhar Si,

David Edmond,

Arthur H. M. ter Hofstede,

Marlon Dumas

Publication year - 2003

Publication title -

qut eprints (queensland university of technology)

Language(s) - English

Resource type - Conference proceedings

ISBN - 1-58113-624-2

DOI - 10.1145/952532.952651

Subject(s) - construct (python library) , computer science , synchronization (alternating current) , trading strategy , executable , negotiation , modular design , algorithmic trading , interface (matter) , alternative trading system , process (computing) , electronic trading , distributed computing , business , programming language , finance , telecommunications , channel (broadcasting) , bubble , algorithm , maximum bubble pressure method , parallel computing , political science , law

With the increasing number of market places and potential trading partners across the e–commerce environment, it will become natural for multiple trading activities to be deployed as part of a single trading strategy. This paper describes a multi–process model for controlling interrelated trading activities. The model includes a powerful generic synchronization construct for building a variety of executable trading engines. The modular design of the construct enables the realization of complex trading schemes, including a number of well known strategies from the financial trading domain. A homogeneous interface is defined to allow seamless integration of control modules built using this construct with elementary trading tasks which directly interact with the trading partners using various negotiation protocols. The model also enables iterative negotiation capabilities, which are essential in any complex trading environment. In addition, the model is designed to be orthogonal to the reasoning model so that any reasoning mechanism can be plugged into it

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