Articles on MetaTrader 5 integration using MQL5

Traders meet interesting challenges which often require an innovative approach. This category features articles that offer the most unexpected solutions for evaluating, analyzing and processing price data and trading results. The articles describe various integration solutions, including connection of databases and ICQ, use of OpenCL and social networks, use of Delphi and C#.

Read on to learn how to use specialized mathematical and neural packages, and much more. Become an author and share unique ideas with the MQL5.community members.

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Optimization management (Part II): Creating key objects and add-on logic

This article is a continuation of the previous publication related to the creation of a graphical interface for optimization management. The article considers the logic of the add-on. A wrapper for

Optimization management (Part I): Creating a GUI

This article describes the process of creating an extension for the MetaTrader terminal. The solution discussed helps to automate the optimization process by running optimizations in other terminals

Evaluating the ability of Fractal index and Hurst exponent to predict financial time series

Studies related to search for the fractal behavior of financial data suggest that behind the seemingly chaotic behavior of economic time series there are hidden stable mechanisms of participants'

Developing graphical interfaces based on .Net Framework and C# (part 2): Additional graphical elements

The article is a follow-up of the previous publication "Developing graphical interfaces for Expert Advisors and indicators based on .Net Framework and C#". It introduces new graphical elements for

Studying candlestick analysis techniques (part IV): Updates and additions to Pattern Analyzer

The article presents a new version of the Pattern Analyzer application. This version provides bug fixes and new features, as well as the revised user interface. Comments and suggestions from previous

A DLL for MQL5 in 10 Minutes (Part II): Creating with Visual Studio 2017

The original basic article has not lost its relevance and thus if you are interested in this topic, be sure to read the first article. However much time has passed since then, so the current Visual

Using MATLAB 2018 computational capabilities in MetaTrader 5

After the upgrade of the MATLAB package in 2015, it is necessary to consider a modern way of creating DLL libraries. The article uses a sample predictive indicator to illustrate the peculiarities of

Extracting structured data from HTML pages using CSS selectors

The article provides a description of a universal method for analyzing and converting data from HTML documents based on CSS selectors. Trading reports, tester reports, your favorite economic

Developing graphical interfaces for Expert Advisors and indicators based on .Net Framework and C#

The article presents a simple and fast method of creating graphical windows using Visual Studio with subsequent integration into the Expert Advisor's MQL code. The article is meant for non-specialist

MetaTrader 5 and Python integration: receiving and sending data

Comprehensive data processing requires extensive tools and is often beyond the sandbox of one single application. Specialized programming languages are used for processing and analyzing data

MQL Parsing by Means of MQL

The article describes a preprocessor, a scanner, and a parser to be used in parsing the MQL-based source codes. MQL implementation is attached

How to create and test custom MOEX symbols in MetaTrader 5

The article describes the creation of a custom exchange symbol using the MQL5 language. In particular, it considers the use of exchange quotes from the popular Finam website. Another option considered

Using OpenCL to test candlestick patterns

The article describes the algorithm for implementing the OpenCL candlestick patterns tester in the "1 minute OHLC" mode. We will also compare its speed with the built-in strategy tester launched in

Deep Neural Networks (Part VIII). Increasing the classification quality of bagging ensembles

The article considers three methods which can be used to increase the classification quality of bagging ensembles, and their efficiency is estimated. The effects of optimization of the ELM neural

950 websites broadcast the Economic Calendar from MetaQuotes

The widget provides websites with a detailed release schedule of 500 indicators and indices, of the world's largest economies. Thus, traders quickly receive up-to-date information on all important

Developing stock indicators featuring volume control through the example of the delta indicator

The article deals with the algorithm of developing stock indicators based on real volumes using the CopyTicks() and CopyTicksRange() functions. Some subtle aspects of developing such indicators, as

Integrating MQL-based Expert Advisors and databases (SQL Server, .NET and C#)

The article describes how to add the ability to work with Microsoft SQL Server database server to MQL5-based Expert Advisors. Import of functions from a DLL is used. The DLL is created using the

Deep Neural Networks (Part VII). Ensemble of neural networks: stacking

We continue to build ensembles. This time, the bagging ensemble created earlier will be supplemented with a trainable combiner — a deep neural network. One neural network combines the 7 best ensemble

How to create Requirements Specification for ordering a trading robot

Are you trading using your own strategy? If your system rules can be formally described as software algorithms, it is better to entrust trading to an automated Expert Advisor. A robot does not need

Deep Neural Networks (Part VI). Ensemble of neural network classifiers: bagging

The article discusses the methods for building and training ensembles of neural networks with bagging structure. It also determines the peculiarities of hyperparameter optimization for individual

ZUP - Universal ZigZag with Pesavento patterns. Search for patterns

The ZUP indicator platform allows searching for multiple known patterns, parameters for which have already been set. These parameters can be edited to suit your requirements. You can also create new

Deep Neural Networks (Part V). Bayesian optimization of DNN hyperparameters

The article considers the possibility to apply Bayesian optimization to hyperparameters of deep neural networks, obtained by various training variants. The classification quality of a DNN with the

Comparing speeds of self-caching indicators

The article compares the classic MQL5 access to indicators with alternative MQL4-style methods. Several varieties of MQL4-style access to indicators are considered: with and without the indicator

How to create a graphical panel of any complexity level

The article features a detailed explanation of how to create a panel on the basis of the CAppDialog class and how to add controls to the panel. It provides the description of the panel structure and a

LifeHack for traders: Blending ForEach with defines (#define)

The article is an intermediate step for those who still writes in MQL4 and has no desire to switch to MQL5. We continue to search for opportunities to write code in MQL4 style. This time, we will look

Controlled optimization: Simulated annealing

The Strategy Tester in the MetaTrader 5 trading platform provides only two optimization options: complete search of parameters and genetic algorithm. This article proposes a new method for optimizing

LifeHack for traders: Fast food made of indicators

If you have newly switched to MQL5, then this article will be useful. First, the access to the indicator data and series is done in the usual MQL4 style. Second, this entire simplicity is implemented

Automatic Selection of Promising Signals

The article is devoted to the analysis of trading signals for the MetaTrader 5 platform, which enable the automated execution of trading operations on subscribers' accounts. Also, the article

Creating a custom news feed for MetaTrader 5

In this article we look at the possibility of creating a flexible news feed that offers more options in terms of the type of news and also its source. The article will show how a web API can be

R-squared as an estimation of quality of the strategy balance curve

This article describes the construction of the custom optimization criterion R-squared. This criterion can be used to estimate the quality of a strategy's balance curve and to select the most smoothly

Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes

This article deals primarily with the classes CExpertAdvisor and CExpertAdvisors, which serve as the container for all the other components described in this article-series regarding cross-platform

Deep Neural Networks (Part IV). Creating, training and testing a model of neural network

This article considers new capabilities of the darch package (v.0.12.0). It contains a description of training of a deep neural networks with different data types, different structure and training

Cross-Platform Expert Advisor: Custom Stops, Breakeven and Trailing

This article discusses how custom stop levels can be set up in a cross-platform expert advisor. It also discusses a closely-related method by which the evolution of a stop level over time can be

Deep Neural Networks (Part III). Sample selection and dimensionality reduction

This article is a continuation of the series of articles about deep neural networks. Here we will consider selecting samples (removing noise), reducing the dimensionality of input data and dividing

Using cloud storage services for data exchange between terminals

Cloud technologies are becoming more popular. Nowadays, we can choose between paid and free storage services. Is it possible to use them in trading? This article proposes a technology for exchanging

Creating and testing custom symbols in MetaTrader 5

Creating custom symbols pushes the boundaries in the development of trading systems and financial market analysis. Now traders are able to plot charts and test trading strategies on an unlimited

Deep Neural Networks (Part II). Working out and selecting predictors

The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model

Deep Neural Networks (Part I). Preparing Data

This series of articles continues exploring deep neural networks (DNN), which are used in many application areas including trading. Here new dimensions of this theme will be explored along with

Cross-Platform Expert Advisor: Stops

This article discusses an implementation of stop levels in an expert advisor in order to make it compatible with the two platforms MetaTrader 4 and MetaTrader 5

Universal Expert Advisor: Accessing Symbol Properties (Part 8)

The eighth part of the article features the description of the CSymbol class, which is a special object that provides access to any trading instrument. When used inside an Expert Advisor, the class