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The Matrix

Matrix is the foundation of complex trading algorithms as it helps you perform complex calculations effortlessly and without the need for too much computation power, It's no doubt that matrix has made possible many of the calculations in modern computers as we all know that bits of information are stored in array forms in our computer memory RAM,
Using some of the functions in this library I was able to create machine learning robots that could take on a large number of inputs
To use this library effectively, some mathematical knowledge about linear algebra is required


Read the Docs

Full documentation of the library is linked here https://www.mql5.com/en/blogs/post/750249


Step o1: Importing the Functions

The Functions inside this library are easy to use and one can understand them at a glance

#import "The Matrix.ex5"

         void   CSVToMatrix(double &Matrix[],int &mat_rows,int &mat_cols,string csv_file,string sep=",");
         bool   IsMatrixSquare(double &Matrix[]);
         void   MatrixDetectType(double &Matrix[],int rows,int &__r__,int &__c__);
         void   MatrixMultiply(double &A[],double &B[],double &AxBMatrix[], int colsA,int rowsB,int &new_rows,int &new_cols);
         void   MatrixPrint(double &Matrix[],int cols,int digits=5);
         void   MatrixDuplicate(double &Matr[],int times);                 
         
         void   MatrixGetColumn(double &Matrix[],int column,int &cols);
         void   MatrixRemoveColumn(double &Matrix[],int column,int &cols);
         void   MatrixRemoveRowWithContent(string &dataArr[], string content_detect, int cols);
         
         void   MatrixTranspose(double &Matrix[], int &mat_cols);
         void   MatrixUnTranspose(double &Matrix[], int to_cols);
         
         void   MatrixInverse(double &Matrix[]);
         void   Gauss_JordanInverse(double &Matrix[],int mat_order);
                  
#import

Why Buy this Library

  • Development support
  • Carefully debugged code for the complex programs you care about
  •  I'm open-minded to new features and am willing to fix issues whenever you found one 

Satisfaction Guaranteed

The Library is currently priced at 35$ because it is the early version, the price will occasionally be increased as the library gets updated



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Optimus PrimeX
Omega J Msigwa
Optimus PrimeX: Elevating Your NASDAQ Trading Experience! Unleash the power of Optimus PrimeX, a sophisticated NASDAQ trading robot meticulously crafted to navigate the dynamic landscape of the financial markets. Built upon a trend-following strategy and infused with Artificial Intelligence Biasing, this expert advisor is designed to harness the long-term bullish nature of the NASDAQ index. Strategic Analysis Across Timeframes Optimus PrimeX conducts a comprehensive analysis across the 4-hour, 1
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.RegressorN
Probability-Based Indicator This indicator analyses price movements of a given period to obtain crucial information for probability distribution analysis such as their mean and standard deviation, Once it has such piece of information it does all the necessary calculations and finally calculates the probability that the current market value will go above or below the given period bars. Since this indicator effectively leverages the power of probability which doesn't lie, It is a powerful indicat
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Version 2.50 2022.08.20
Matrix Get column and Remove column bugs fixed
Version 2.30 2022.08.19
Bugs fixed
Functions added
Library has been much more simplified in terms of usage