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  #21 (permalink)  
Old 11-16-2006, 08:53 PM
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Talking

Quote:
Originally Posted by lietuve
Hi, Newdigital!

Russian forums are good indeed, there is a lot to learn there, but how to register there using English keyboard? Most of the communication there is in Russian language.
I tried to registrer few times in English, and when awaiting for confirmation, all I got was some unreadable scribble that was orignally mailed to me in Russian. How do you overcome this problem?
hey just go to the first link that New digital posted above and look up towards the top of the page and click on register. The server is in Russia I presume..any rate it can take some time for the email to get to you..if not in 2 hours, you may want to do the registration again. I had to register twice before i got the email. The registration steps and pages are in english. Most of them will be. Hope this helps.
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  #22 (permalink)  
Old 11-20-2006, 01:22 AM
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Thumbs down

okay...the neuroproba has some serious problems. it seems to work fine for a while and then it will crash for no apparent reason.
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  #23 (permalink)  
Old 11-22-2006, 03:16 PM
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Why not use external NN systems

Something like NeuroShell, TS or the open source Joone? You can call the external dll from Metatrade. The time and effort should be spent on selecting the inputs(indicators or good strategies) and training rather than writing a NN system in MQL4. I would go this way.
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Old 11-23-2006, 12:47 AM
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Thats a good idea, ill look into that right now. Thanks.
-Tommy
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Old 11-26-2006, 11:24 PM
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Quote:
Originally Posted by GP2X
Something like NeuroShell, TS or the open source Joone? You can call the external dll from Metatrade. The time and effort should be spent on selecting the inputs(indicators or good strategies) and training rather than writing a NN system in MQL4. I would go this way.
Joone looks really good but do you know how to write an imput file that woudl incorporate an indicator and teach to predict its signals? I cant make heads or tales of it, and i cant find anything about it in the forums. thanks.
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  #26 (permalink)  
Old 11-27-2006, 03:59 PM
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I think there are two ways, one is to use a Java indicator library, and feed Joone with arrays of numbers, like what this guy did: http://www.jooneworld.com/wiki/tiki-...orial#comments
Another is my idea, we can write an EA, which creates the input files(probably also the validation files) when running inside the strategy tester, then train Joone with these files.
Finally, after training, when using it for real, we have to use an EA to talk to Joone. All of these are not hard to me(will just take some time). The hard one is what to be used as inputs(definately not raw data, should be a combination of indicators). The structure and number of hidder neurals are also unknown, but we could find by repeating the training process.
Quote:
Originally Posted by Cyclesurfer
Joone looks really good but do you know how to write an imput file that woudl incorporate an indicator and teach to predict its signals? I cant make heads or tales of it, and i cant find anything about it in the forums. thanks.
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  #27 (permalink)  
Old 11-27-2006, 04:05 PM
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For example, if you want to use MA as the input, just write an EA, which saves the MA values to a CSV file for each bar, run the EA in tester, if you get two years of history data, the CSV file would contain two years of MA values. Then you can use it as the input file.
Quote:
Originally Posted by GP2X
I think there are two ways, one is to use a Java indicator library, and feed Joone with arrays of numbers, like what this guy did: http://www.jooneworld.com/wiki/tiki-...orial#comments
Another is my idea, we can write an EA, which creates the input files(probably also the validation files) when running inside the strategy tester, then train Joone with these files.
Finally, after training, when using it for real, we have to use an EA to talk to Joone. All of these are not hard to me(will just take some time). The hard one is what to be used as inputs(definately not raw data, should be a combination of indicators). The structure and number of hidder neurals are also unknown, but we could find by repeating the training process.
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  #28 (permalink)  
Old 12-24-2006, 07:19 PM
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Artificial_Intelligence EA

Hi:
I found this EA, but not sure what strategies does this EA based on..
Can someone take a look and explain here please?
I attached EA and backtesting result.
Attached Images
File Type: gif StrategyTesterAI#1.gif (6.9 KB, 1059 views)
Attached Files
File Type: htm StrategyTesterAI#1.htm (29.2 KB, 216 views)
File Type: mq4 ArtificialIntelligence.mq4 (5.7 KB, 311 views)
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  #29 (permalink)  
Old 12-24-2006, 08:09 PM
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its all based on williams accelerator/decelerator, which the formula is

AO = SMA(median price, 5)-SMA(median price, 34)
AC = AO-SMA(AO, 5)

here is the code in EA

extern int x1 = 135;
extern int x2 = 127;
extern int x3 = 16;
extern int x4 = 93;

double w1 = x1 - 100;
double w2 = x2 - 100;
double w3 = x3 - 100;
double w4 = x4 - 100;
double a1 = iAC(Symbol(), 0, 0);
double a2 = iAC(Symbol(), 0, 7);
double a3 = iAC(Symbol(), 0, 14);
double a4 = iAC(Symbol(), 0, 21);
return(x1* a1 + x2 * a2 + x3 * a3 + x4 * a4);

so it ends up being


return(35 * ac(this bar) + 27 * ac(7 bars ago) + -84 * ac(14 bars ago) ) + -7 * ac(21 bars ago) );

if it ends up being greater then 0 then it buys and if less then it sells. looks like its alway in the market as well. It only opens 1 order at a time though.

It looks like a variation of the alligator by Williams but it uses 4 ACs instead of 3.

how they pick the x1,x2,x3,x4 numbers? i dont know, seems random to me
why they -100 from each of them? no idea, should have just enterd a smaller number
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  #30 (permalink)  
Old 12-24-2006, 08:46 PM
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My 2 cents, Neural Networks don't really work as far as I can see, I have spent countless hours coding and testing such beasts with nothing really to show.
When evaluating such methods it is important to understand what is actually happening, to cut though the BS as it were. Neural Networks are not magic, just non-linear regression, as such they can do an amazing job of fitting test data but tell you nothing of the future. The other mistaken assumption which is applied to NN & Forex is that there is some type of 'hidden pattern' in the data which the NN will deduce, I have not found this to be the case. In my experence the greater the degrees of fredom of a system the more prone it is to overfitting the data, hence giving no value in data ranges outside the test data.
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