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| Strategy Analyzer Support for automated system backtesting and optimization using the NinjaTrader Strategy Analyzer. |
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#1 |
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Junior Member
Join Date: May 2009
Posts: 25
Thanks: 0
Thanked 1 time in 1 post
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Hi folks,
I'm a relative newcomer to automated trading systems and recently discovered Pete S.'s genetic optimiser. There were a few additional features I thought would be handy, so I rewrote it to provide a nicer GUI and some more goodies. It is now available for free for anyone to use. Main features added:
http://mcraig.net/site/Development/N...9/Default.aspx The source code should appear there soon. Comments welcome. -Swig- |
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#2 |
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Certified NinjaScript Consultant
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Ladies and gentlemen, we've got talent! Outstanding GO contribution, in particular, how you are able to successfully overcome the little obstacles of operating under the current NT 6.5 framework with style and added functionality. Congratulations, you've got some serious mojo in your MoGo that would make even Austin proud.
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#3 |
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Administrator
Join Date: Nov 2004
Location: Denver, CO, USA
Posts: 11,163
Thanks: 6
Thanked 45 times in 32 posts
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Thanks for this contribution!
Ray
NinjaTrader Customer Service |
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#4 |
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Junior Member
Join Date: Jul 2008
Posts: 20
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Preliminary test looks great....
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#5 |
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Junior Member
Join Date: Dec 2007
Posts: 22
Thanks: 1
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Thanks! Sounds promising, but unfortunately it does not work for me.
I always get the following error: Failed to call method 'Optimize' for optimizer 'MoGoNT': String was not recognized as a valid Boolean. |
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#6 |
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Senior Member
Join Date: Feb 2009
Location: Chicago
Posts: 116
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#7 | |
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Junior Member
Join Date: May 2009
Posts: 25
Thanks: 0
Thanked 1 time in 1 post
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Quote:
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#8 |
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Junior Member
Join Date: May 2009
Posts: 25
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Thanked 1 time in 1 post
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#9 |
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Junior Member
Join Date: Jul 2008
Posts: 20
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Swig
Look Ok ..no problem in getting it to work but only a fractional increase in analyis speed on NT standard (brute) optimization. Any advice?
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#10 | |
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Junior Member
Join Date: May 2009
Posts: 25
Thanks: 0
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Quote:
For a small one (i.e. small number of parameters and/or very limited ranges for each parameter), brute-force optimisation is likely to perform equal to or better than any genetic optimiser. Where GOs shine is when you have a large parameter space (i.e. many parameters and/or a wide range for each), since they hone in on good solutions while testing only a small fraction of possible combinations. Keep in mind that the amount of time MoGo takes to run is determined by the population size and the number of generations. If you want it to run faster, reduce either/both of these values. Of course lowering them reduces the likelihood of finding the best solution, but there's always a trade off. -Swig- |
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#11 | |
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Junior Member
Join Date: Dec 2007
Posts: 22
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Quote:
Marc |
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#12 | |
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Senior Member
Join Date: Feb 2009
Location: Chicago
Posts: 116
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Quote:
Yes, I have the latest NT 6.5.1000.9 I have bool params but I don't change them in the optimization process. -thanks |
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#13 |
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Senior Member
Join Date: Mar 2008
Posts: 731
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#14 |
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Senior Member
Join Date: Feb 2009
Location: Chicago
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#15 |
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Junior Member
Join Date: Dec 2007
Posts: 22
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