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The Matrix

Matrix es la base de algoritmos comerciales complejos, ya que lo ayuda a realizar cálculos complejos sin esfuerzo y sin la necesidad de demasiada potencia de cálculo. No hay duda de que Matrix ha hecho posible muchos de los cálculos en las computadoras modernas, ya que todos sabemos que los bits de información son almacenados en forma de matriz en la memoria RAM de nuestra computadora,

Al usar algunas de las funciones de esta biblioteca, pude crear robots de aprendizaje automático que podían aceptar una gran cantidad de entradas.

Para usar esta biblioteca de manera efectiva, se requieren algunos conocimientos matemáticos sobre álgebra lineal.


Leer los documentos

La documentación completa de la biblioteca está vinculada aquí https://www.mql5.com/en/blogs/post/750249


Paso o1: Importación de las funciones

Las funciones dentro de esta biblioteca son fáciles de usar y se pueden entender de un vistazo

#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

Por qué comprar esta biblioteca

  • Apoyo al desarrollo
  • Código cuidadosamente depurado para los programas complejos que le interesan
  • Tengo una mente abierta a las nuevas funciones y estoy dispuesto a solucionar los problemas cada vez que encuentre uno.

Satisfacción garantizada

La biblioteca tiene un precio actual de 35 $ porque es la versión anterior, el precio aumentará ocasionalmente a medida que se actualice la biblioteca

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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
Esta biblioteca le permitirá gestionar operaciones utilizando cualquiera de sus EA y es muy fácil de integrar en cualquier EA, lo que puede hacer usted mismo con el código de secuencia de comandos que se menciona en la descripción y también ejemplos de demostración en video que muestran el proceso completo. - Órdenes de límite de colocación, límite de SL y límite de obtención de ganancias - Realizar órdenes de Mercado, SL-Market, TP-Market - Modificar orden límite - Cancelar orden
La siguiente biblioteca se ofrece como un medio para utilizar las API de OpenAI directamente en MetaTrader de la manera más sencilla posible. Para obtener más detalles sobre las capacidades de la biblioteca, lea el siguiente artículo: https://www.mql5.com/en/blogs/post/756098 The files needed to use the library can be found here: Manual IMPORTANTE: Para usar el EA, es necesario añadir la siguiente URL para permitir el acceso a la API de OpenAI  como se muestra en las imágenes adjuntas Para utili
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. 
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
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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Indicador impulsado por IA de regresión lineal: La regresión lineal es una técnica de inteligencia artificial simple pero efectiva que es la base de redes neuronales complejas. Este indicador se basa en un análisis de regresión lineal e intenta hacer predicciones sobre el próximo evento en el mercado. Entradas: train_bars: Esto controla la cantidad de barras en las que se recopilará la información de precios y se usará para entrenar la IA dentro de ella. Cuanto mayor sea este valor, mejor y
Optimus PrimeX: Elevando tu Experiencia de Trading en NASDAQ Desata el poder de Optimus PrimeX, un sofisticado robot de trading para NASDAQ meticulosamente diseñado para navegar el dinámico mundo de los mercados financieros. Construido sobre una estrategia de seguimiento de tendencias e impregnado de Inteligencia Artificial, este asesor experto está diseñado para aprovechar la naturaleza alcista a largo plazo del índice NASDAQ. Análisis Estratégico en Múltiples Marcos Temporales Optimus PrimeX r
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
Indicador basado en probabilidad Este indicador analiza los movimientos de precios de un período determinado para obtener información crucial para el análisis de distribución de probabilidad, como su media y desviación estándar. Una vez que tiene dicha información, realiza todos los cálculos necesarios y finalmente calcula la probabilidad de que el valor de mercado actual se vaya. por encima o por debajo de las barras de período dadas. Dado que este indicador aprovecha efectivamente el poder
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Versión 2.50 2022.08.20
Matrix Get column and Remove column bugs fixed
Versión 2.30 2022.08.19
Bugs fixed
Functions added
Library has been much more simplified in terms of usage