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MetaTrader 5

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Neural Networks Libraries

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350 $263 $

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Information

Libraries
MetaTrader 5
Omega J Msigwa
3.0
10

Overview

This is standard library built for flexible neural Networks with performance in mind.
Calling this Library is so simple and takes few lines of code:
   matrix Matrix = matrix_utils.ReadCsv("Nasdaq analysis.csv"); 
   
   matrix x_train, x_test;
   vector y_train, y_test;
    
   matrix_utils.TrainTestSplitMatrices(Matrix,x_train,y_train,x_test,y_test,0.7,42);

   reg_nets = new CRegressorNets(x_train,y_train,AF_RELU_,HL, NORM_MIN_MAX_SCALER); //INitializing network
   
   reg_nets.RegressorNetsBackProp(100, 0.01, LOSS_MSE_, OPTIMIZER_NONE); //Training


//--- Testing the NN

   vector test_pred = reg_nets.RegressorNetsFF(x_test);
   
   Print("Test Acc ",metrics.r_squared(y_test, test_pred));
   

Outputs:

CS      0       19:20:31.261    Regressor Nets Test (EURUSD,H1) [ Epoch 1/100 ] Cost 0.07168254 Acc 0.11997991 | Elapsed 0.017 Seconds  
CS      0       19:20:31.280    Regressor Nets Test (EURUSD,H1) [ Epoch 2/100 ] Cost 0.02692840 Acc 0.66940996 | Elapsed 0.019 Seconds  
CS      0       19:20:31.300    Regressor Nets Test (EURUSD,H1) [ Epoch 3/100 ] Cost 0.00741691 Acc 0.90894538 | Elapsed 0.020 Seconds  
CS      0       19:20:31.330    Regressor Nets Test (EURUSD,H1) [ Epoch 4/100 ] Cost 0.00375571 Acc 0.95389260 | Elapsed 0.029 Seconds  
....
CS      0       19:20:32.410    Regressor Nets Test (EURUSD,H1) [ Epoch 100/100 ] Cost 0.00035787 Acc 0.99560655 | Elapsed 0.010 Seconds  
CS      0       19:20:32.411    Regressor Nets Test (EURUSD,H1) Test Acc 0.994581797713619

Build complex Neural Network systems with Few Lines of MQL5 code:

What are you getting for your money: NEURAL NETS PACKAGE Including DEVELOPMENT SUPPORT.

  • Pattern recognition neural Networks | NN for identifying patterns in the market
  • Regression Neural Networks | Neural networks files for solving regression problems
  • Kohonen Maps | Self organizing maps

Additional files:

  • Data processing libraries
  • Metrics and accuracy measuring libraries
  • Cross validation libraries

Still skeptic?? I have an open repository for Machine Learning on my GitHub, you might wanna give it a shot https://github.com/MegaJoctan/MALE5. It also have Neural Networks capabilities but not to this level, here everything is for VIP members.

The library is always under development so the prices are due to raise with every release, Currently release is V2.5.4. Each release means the new higher price so you better get it now for this cheap price or never.

After a purchase send me a private message to get all the files, there is no way to add all of them in one product.

For an instant response reach me out on Skype | My skype id is: live:.cid.47cd4a057596030f


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