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Thanks OnTheRoad
![]() Yes you are right, increasing the number of neurons can lead to better accuracy, but just slightly. If you have bad results with 20 hidden neurons, it won't be perfect forecast with 200 neurons for sure. You also have to be careful about not overfitting the NN : if you use a lot of neurons in the NN, you have to feed the NN with a lot of data. Matlab NN toolbox doesn't calculate an ajusted Rē to control over-fitting issues. aegis : I used a few MA slopes (Ma value(t)-Ma value(t-1)) to predict the MA slope a few bars ahead. I'm not really sure about the trading power of this tool as I didn't backtested the system. But it looks it can take trades before the MA cross happen wich is slightly better compared to a basic MA cross system. MrM: I didn't implement a dll solution. I coded some NN's under MQL4 as I found no real advantage from linking Matlab results with MQL4 as the NN doesn't need to be retrained every seconds. I just get the weights from matlab and copy-paste in MQL4 ![]() I was off for a few days, so I have no fancy graphics to post today! |
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I guess you're right that if you don't have to continuously retrain, you don't need the dll.
Would you like to share a template for that? ![]()
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tensigma.blogspot.com |
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I have been using Cortex for some years without problems. However - I don't have a "wait.dll" with the Cortex software and neither on my machine anywhere so, perhaps you have something else wrong?? I have been running Cortex on XP, win 2000 and years ago on 98 - all worked reasonably well for me so, I doubt if it's anything to do with your XP system... |
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Mr.M-
My partner and I have created the dll between Matlab and Metaquotes...that was the easier part of the NN quest. It is finding the right net to implement. Maybe you can give us some feedback. We have tried classification, prediction, dynamic and probablistic networks. Lots of trial and error. Let me know if you are having much success. Brent |
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what I've learned so far is that econometrics are not usefull for short-term prediction (forget ARMA etc.), but Matlab is the way to go if you want to gain an edge, if you have all toolboxes and a good theoretical background it's a lot of fun.
Nonlinear methods (like NN, SOM's,...) are great, but don't try to predict anything: I think it's a bridge too far for today's technology, but prediction is not necessary: you are perfectly model the final bar of a timeseries in function of the past bars to see if you are close to a relative extreme value or not. But the learning curve is not steep. I lost track of how much I spent on amazon for books filled with greek-letter-financial-math ![]()
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tensigma.blogspot.com |
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Hi fellow member.
I wanna share this link with you : Neural Networks and Stock / Forex Trading Please go to the end of the page, you will find 1 NN indic and 1 NN EA in open source. Great tutorial so far... Regards.
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French speaking Forex forum : fxmgm.com |
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hi
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![]() =================== Forex Indicators Collection |
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French speaking Forex forum : fxmgm.com |
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