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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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Teclado trader, é uma BIBLIOTECA que você pode chamar no OnChartEvent para abrir posição de compra/venda/zerar, os botões padrões são: V = venda C = compra Z = zerar posições a mercado S = zerar posições opostas e depois a mercado X = zerar posições opostas Além da função de teclado, é possível mostrar os estados do ExpertAdvisor usando o MagicId, com informação de: lucro mensal, semanal, diario, e posição aberta, para isto use o OnTick, ou qualquer outro evento (OnTimer / OnTrade / OnBookEv
Goliath Mt5
Nicolokondwani Biscaldi
Goliath MT5 - scalper fully automated Expert Advisor for medium-volatile forex markets P roperties: The Library trades 10 currency pairs (USDCHF, EURCHF, EURGBP, AUDUSD, USDCAD, GBPUSD, EURUSD, NZDUSD, CADCHF, EURAUD, EURCAD, AUDJPY) The Library does not use martingale The Library sets a fixed stop loss and take profit for all orders The Library only trades a user input volume The Library can be installed on any currency pair and any timeframe Recommendations: Before using on a real account,
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About the Indicator This indicator is based on Monte carlo simulations on the closing prices of a financial instrument. By definition, Monte carlo is a statistical technique used to model the probability of different outcomes in  a process that involves random numbers based on previously observed outcomes. How does it Work? This indicator generates multiple price scenarios for a security by modelling random price changes over time based on historical data. Each simulation trial uses random var
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Built using modern machine learning models LightGBM and Deep Neural Networks, This EA is a masterpiece at detecting trading signals on EURUSD and open trades with higher accuracy. This trading robot was trained for EURUSD symbol, don't expect it to work properly and provide similar results for some other symbol(s). Requirements Broker:    Any Broker, ECN/ZERO Spread preferred Account Type: Hedging Leverage:   from 1:200 Deposit:   min. $500 Symbol:   EURUSD Timeframe:   H4 (Attach it on a 4-
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
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
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
Linear regression AI powered Indicator: Linear regression is a simple yet effective AI technique that is the foundation of complex neural networks, This indicator is built based on linear regression analysis and tries to make predictions on the upcoming event in the market Inputs : train_bars: This controls the number of bars that the price information will be collected and used to train the AI inside it, The greater this value the better also the slower the indicator becomes during initializati
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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