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Better optimizing without costs ?



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The standard Omega procedure is to optimise your system with costs 
bigger than zero given.

Is this really the right approach ? 

When optimizing we try to capture a mathematical truth which is 
represented by our system.

The costs which we occur are however very individual and have no 
relationship towards the system or the market we analyse.

If our costs are high and we include them in the optimiziation 
proccess we might reject systems which are in fact profitable - but 
not for us. By rejecting these systems we might loose valuable 
information about our markets properties.

Wouldn't it be a much better approach to use those best system 
even -if they are unprofitable with our given costs - and try to make 
them even more profitable by enhancing their mathematics ? Shouldn't 
be the costs checked last in this rejection process ?

My general feeling is that the standard Omega procedure might lead 
many traders to sub-optimal solutions.

Any opinions on this matter ?

Gerrit Jacobsen
http://www.tickscape.com