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For giapel, lvsefa and the others interested in NN EA,
Here a version of my PNN EA. For now, it is just the ex4 file.
You can test it, i have introduce a lot of parameters.
How to run it.
First, you have to feed the PNN with the maximum of bars (Phase 1). For this, run the EA in the history, with the create_file=true. I have good results with M5 bars.
You can parameter 4 inputs, which are differences between Ask and a moving average. You can parameter the moving averages in differents timeframe.
Once you have created the file, you can run the EA in normal mode (create_file=false). Sigma is the sensibility of the PNN, 0.1 for 1 input is good, for 3 or 4 inputs 0.3 is ok. Delta is the level where a order is opened. You can see the results of the pnn in the journal tab.
For the run, you can choose 1 to 4 inputs, but don't change the parameter of the inputs.
In this version, the PNN is not dynamic, i.e. in run mode, he doesn't leaned at each bar. I will add this fonction and others one nexts weeks.
Have good tests.
Sorry for my bad english, contact me if you don't understand me
For giapel, lvsefa and the others interested in NN EA,
Here a version of my PNN EA. For now, it is just the ex4 file.
You can test it, i have introduce a lot of parameters.
How to run it.
First, you have to feed the PNN with the maximum of bars (Phase 1). For this, run the EA in the history, with the create_file=true. I have good results with M5 bars.
You can parameter 4 inputs, which are differences between Ask and a moving average. You can parameter the moving averages in differents timeframe.
Once you have created the file, you can run the EA in normal mode (create_file=false). Sigma is the sensibility of the PNN, 0.1 for 1 input is good, for 3 or 4 inputs 0.3 is ok. Delta is the level where a order is opened. You can see the results of the pnn in the journal tab.
For the run, you can choose 1 to 4 inputs, but don't change the parameter of the inputs.
In this version, the PNN is not dynamic, i.e. in run mode, he doesn't leaned at each bar. I will add this fonction and others one nexts weeks.
Have good tests.
Sorry for my bad english, contact me if you don't understand me
hi, stef
i' ve download expert, complete phase 1 and ready to start phase 2.
i ' ve no experience about NN, even if in my opinion is a very good strategy.
if you code dynamic-PNN count me to send it.
i' ve a suggestion about manage expert : add magic number to trade with different currency-pairs and introduce money management (if you want i can contribute ).
In this version, the PNN is not dynamic, i.e. in run mode, he doesn't leaned at each bar. I will add this fonction and others one nexts weeks.
If you, or someone could write and integrate an API into this EA to run and use RapidMiner´s (a free NN software) output, we could use additional correlated data series like proposed by tdion in Neural Network Trading, Serious people only! - Page 4 (post 54).
An example how RapidMiner can be utilized to do this can be found here: Tutorials | Neural Market Trends
> Building an AI financial market model - lesson 1-5
Ideally, this EA would have a parameter where you could specify a YAHOO symbol that would then be loaded into RapidMiner for calculation, and the results displayed in MT4.
For giapel, lvsefa and the others interested in NN EA,
Here a version of my PNN EA. For now, it is just the ex4 file.
You can test it, i have introduce a lot of parameters.
How to run it.
First, you have to feed the PNN with the maximum of bars (Phase 1). For this, run the EA in the history, with the create_file=true. I have good results with M5 bars.
You can parameter 4 inputs, which are differences between Ask and a moving average. You can parameter the moving averages in differents timeframe.
Once you have created the file, you can run the EA in normal mode (create_file=false). Sigma is the sensibility of the PNN, 0.1 for 1 input is good, for 3 or 4 inputs 0.3 is ok. Delta is the level where a order is opened. You can see the results of the pnn in the journal tab.
For the run, you can choose 1 to 4 inputs, but don't change the parameter of the inputs.
In this version, the PNN is not dynamic, i.e. in run mode, he doesn't leaned at each bar. I will add this fonction and others one nexts weeks.
Have good tests.
Sorry for my bad english, contact me if you don't understand me
Hi Stef:
Thanks for all of your works,It so great and valuable!
For the sharing of EX4 EA now we can do more further discuss....
Now I'll research into it,it's really a pleasantly surprised gift! Thank you Stef.
How can anyone be sure that Better was even using Neural Nets? It looks like his system hasn't seen a new equity high in a while: Ìîíèòîðèíã òîðãîâûõ ñ÷åòîâ.: Ãðàôèê ñ÷åòà
SVM_v_23a_EURUSD EA
Interbank FX real mini account.
//////////////////////////////////////////
#define NR_BARS1 6000
#define NR_BARS2 2000
extern string Symb0 ="EURUSDm";
extern double Lots =0.01;
extern int diff1 =true;
extern int decimalplace =14;
//extern int svmtype =0; //0-libsvm,1-svmlight
extern int BasePeriod =PERIOD_M5;
extern int TrainPeriod =PERIOD_H1;
extern int class_type =10; //0-multiclass,
//1-class(0,1,-1),
//2,3-class(-3,-2,-1,0,1,2,3)
//4-class(-6,-5,-4,-3,-2,-1,0,1,2,3,4,5,6)
extern int TrainStopLoss_buy=20;
extern int TrainStopLoss_sell=20;
extern int TrainTakeProfit_buy=20;
extern int TrainTakeProfit_sell=20;
extern int TradeStopLoss =60; //30-50pips
extern int TradeTakeProfit =60;
extern int FutureWindow =120;
extern int Signal =8;
extern bool UseRamDisk =true;
extern datetime BeginDate = D'2008.05.01 14:00';
extern bool ReverseSignal=false;
extern bool TradeEnabled =false;
//////////////////////////////////////////////////
Linear Mode
