curve fitting

    Improved GDX swing system and statistics

    Posted by Michael on 29th of Jul 2010 at 05:52 am

    Vimal -- yes, agreed, that's what curve-fitting is -- but in this instance what new variable is matt adding to the system?  He is not adding any new variable.  He's just taking profits at a predetermined level.  If anything, he is simplifying the system not making it more complex.

    ....the only other point I

    Posted by vimal on 29th of Jul 2010 at 08:06 am

    ....the only other point I will make having coded and tested many many strategies (and also from research done by collegues) is that overall, dynamic exits work far better than fixed TPs or TP %s.

    For example, the simple MA Crossover systems which in the main use a crossover to enter short or enter long is far better than using the crossover to enter short and then setting a x% TP or $TP

    So the question Matt is whether you have tested using a dynamic indicator driven exit? This will be far more robust in dynamic and differing market conditions than one that uses a fixed TP whether it be % or $

     

    no problem with the TP

    Posted by vimal on 29th of Jul 2010 at 07:58 am

    no problem with the TP level being set. Good idea given that profit moves to 10% in many cases but as seen in recent trades, this can be given back

    If we now have a series of 6 trades which only make it to a 9% profit before giving this back then I would not expect the dynamics of the strategy to change such as to move this TP to 9% with a rerun of historical results to show what 9% would have delivered

    Otherwise, yes good system and no problem with a TP provided its not regularly adjusted as per the above example

    Vimal, Your 9% example would be

    Posted by algyros on 29th of Jul 2010 at 08:46 am

    Vimal,

    Your 9% example would be true if the series of 9% profit trades were purely random.  If, however, the market had changed and a 9% TP consistently (say over several months) provided better returns, then it would be a wise choice to change the system to a 9% TP.  My assumption is that some market changes aren't day to day random, but persist over several months.  One way to test this hypothesis with with walk forward optimization.

    vimal -- I see what

    Posted by Michael on 29th of Jul 2010 at 08:10 am

    vimal -- I see what you're saying.

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