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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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Andrey Dik
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AO Core is the core of the optimization algorithm, it is a library built on the author's HMA (hybrid metaheuristic algorithm) algorithm. An example of using AO Core is described in the article: https://www.mql5.com/ru/articles/14183 https://www.mql5.com/en/blogs/post/756510 This hybrid algorithm is based on a genetic algorithm and contains the best qualities and properties of population algorithms.  High-speed calculation in HMA guarantees unsurpassed accuracy and high search capabilities,
Bu kütüphane, herhangi bir EA'nızı kullanarak işlemleri yönetmenize izin verecektir ve açıklamalarda belirtilen komut dosyası koduyla ve ayrıca tüm süreci gösteren videodaki demo örnekleriyle kendi başınıza yapabileceğiniz herhangi bir EA'ya entegrasyonu çok kolaydır. - Limit Ver, SL Limit Ver ve Kar Al Limit Emirleri - Market, SL-Market, TP-Market siparişlerini verin - Limit emrini değiştirin - Siparişi iptal et - Siparişleri Sorgula - Kaldıraç, marjı değiştir - Pozisyon bi
T5L Library is necessary to use the EAs from TSU Investimentos, IAtrader and others. It contains all the functions framework needed to Expert Advisors working properly.  ツ - The Expert Advisors from  TSU Investimentos does not work without this library,  the T5L library can have updates during the year - At this Library you will find several funcionalities like order sends, buy and sell, trigger entry points check, candlestick analyses, supply and demmand marking and lines, and much more. 
Native Websocket
Racheal Samson
5 (2)
An   easy to use, fast,  asynchronous   WebSocket library  for MQL5. It supports: ws://   and   wss://  (Secure "TLS" WebSocket) text   and   binary   data It handles: fragmented message  automatically (large data transfer) ping-pong   frames  automatically (keep-alive handshake) Benefits: No DLL required. No OpenSSL installation required. Up to 128 WebSocket Connections from a single program. Various Log Levels for error tracing Can be synchronized to MQL5 Virtual Hosting . Completely native to
The library is dedicated to help manage your trades, calculate lot, trailing, partial close and other functions. Lot Calculation Mode 0: Fixed Lot. Mode 1: Martingale Lot (1,3,5,8,13) you can use it in different way calculate when loss=1 ,when profit=0. Mode 2: Multiplier Lot (1,2,4,8,16) you can use it in different way calculate when loss=1 ,when profit=0. Mode 3: Plus Lot (1,2,3,4,5) you can use it in different way calculate when loss=1 ,when profit=0. Mode 4: SL/Risk Lot calculate based on
MetaCOT 2 CFTC ToolBox is a special library that provides access to CFTC (U.S. Commodity Futures Trading Commission) reports straight from the MetaTrader terminal. The library includes all indicators that are based on these reports. With this library you do not need to purchase each MetaCOT indicator separately. Instead, you can obtain a single set of all 34 indicators including additional indicators that are not available as separate versions. The library supports all types of reports, and prov
This is a simplified and effective version of the library for walk forward analysis of trading experts. It collects data about the expert's trade during the optimization process in the MetaTrader tester and stores them in intermediate files in the "MQL5\Files" directory. Then it uses these files to automatically build a cluster walk forward report and rolling walk forward reports that refine it (all of them in one HTML file). Using the WalkForwardBuilder MT5 auxiliary script allows building othe
Cryptocurrency analysis has never been easier with Crypto Charts for MetaTrader 5. Now, trading on BitMEX has never been easier with BitMEX Trading API for MetaTrader 5. BitMEX Trading API library was built to be as easy to use as possible. Just include the library into your Expert Advisor or Script, call the corresponding methods and start trading! Features Trade on BitMEX and BitMEX Testnet. Build and automate your strategies. Concern more with the trading strategy logic and less with the c
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Optimus PrimeX: NASDAQ Üzerindeki İşlem Deneyimini Yükselt! Optimus PrimeX'in gücünü serbest bırakarak, finansal piyasaların dinamik dünyasında gezinmek için özenle tasarlanmış sofistike bir işlem robotuna adım atın. Trend takip stratejisi üzerine inşa edilen ve yapay zeka ile donatılan bu uzman danışman, NASDAQ endeksinin uzun vadeli boğa eğilimini değerlendirmek için geliştirilmiştir. Çeşitli Zaman Çerçevelerinde Stratejik Analiz Optimus PrimeX, 4 saatlik, 12 saatlik, günlük ve haftalık zaman
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
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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Sürüm 2.50 2022.08.20
Matrix Get column and Remove column bugs fixed
Sürüm 2.30 2022.08.19
Bugs fixed
Functions added
Library has been much more simplified in terms of usage