Articles on MetaTrader 5 integration using MQL5

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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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Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI

Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI

This article provides further description of the walk-forward optimization in the MetaTrader 5 terminal. In previous articles, we considered methods for generating and filtering the optimization report and started analyzing the internal structure of the application responsible for the optimization process. The Auto Optimizer is implemented as a C# application and it has its own graphical interface. The fifth article is devoted to the creation of this graphical interface.
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Continuous Walk-Forward Optimization (Part 4): Optimization Manager (Auto Optimizer)

Continuous Walk-Forward Optimization (Part 4): Optimization Manager (Auto Optimizer)

The main purpose of the article is to describe the mechanism of working with our application and its capabilities. Thus the article can be treated as an instruction on how to use the application. It covers all possible pitfalls and specifics of the application usage.
Applying network functions, or MySQL without DLL: Part II - Program for monitoring changes in signal properties
Applying network functions, or MySQL without DLL: Part II - Program for monitoring changes in signal properties

Applying network functions, or MySQL without DLL: Part II - Program for monitoring changes in signal properties

In the previous part, we considered the implementation of the MySQL connector. In this article, we will consider its application by implementing the service for collecting signal properties and the program for viewing their changes over time. The implemented example has practical sense if users need to observe changes in properties that are not displayed on the signal's web page.
Applying network functions, or MySQL without DLL: Part I - Connector
Applying network functions, or MySQL without DLL: Part I - Connector

Applying network functions, or MySQL without DLL: Part I - Connector

MetaTrader 5 has received network functions recently. This opened up great opportunities for programmers developing products for the Market. Now they can implement things that required dynamic libraries before. In this article, we will consider them using the implementation of the MySQL as an example.
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How to create 3D graphics using DirectX in MetaTrader 5

How to create 3D graphics using DirectX in MetaTrader 5

3D graphics provide excellent means for analyzing huge amounts of data as they enable the visualization of hidden patterns. These tasks can be solved directly in MQL5, while DireсtX functions allow creating three-dimensional object. Thus, it is even possible to create programs of any complexity, even 3D games for MetaTrader 5. Start learning 3D graphics by drawing simple three-dimensional shapes.
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Continuous Walk-Forward Optimization (Part 3): Adapting a Robot to Auto Optimizer

Continuous Walk-Forward Optimization (Part 3): Adapting a Robot to Auto Optimizer

The third part serves as a bridge between the previous two parts: it describes the mechanism of interaction with the DLL considered in the first article and the objects for report downloading, which were described in the second article. We will analyze the process of wrapper creation for a class which is imported from DLL and which forms an XML file with the trading history. We will also consider a method for interacting with this wrapper.
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SQLite: Native handling of SQL databases in MQL5

SQLite: Native handling of SQL databases in MQL5

The development of trading strategies is associated with handling large amounts of data. Now, you are able to work with databases using SQL queries based on SQLite directly in MQL5. An important feature of this engine is that the entire database is placed in a single file located on a user's PC.
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Continuous Walk-Forward Optimization (Part 2): Mechanism for creating an optimization report for any robot

Continuous Walk-Forward Optimization (Part 2): Mechanism for creating an optimization report for any robot

The first article within the Walk-Through Optimization series described the creation of a DLL to be used in our auto optimizer. This continuation is entirely devoted to the MQL5 language.
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Continuous Walk-Forward Optimization (Part 1): Working with Optimization Reports

Continuous Walk-Forward Optimization (Part 1): Working with Optimization Reports

The first article is devoted to the creation of a toolkit for working with optimization reports, for importing them from the terminal, as well as for filtering and sorting the obtained data. MetaTrader 5 allows downloading optimization results, however our purpose is to add our own data to the optimization report.
Optimization management (Part II): Creating key objects and add-on logic
Optimization management (Part II): Creating key objects and add-on logic

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 the MetaTrader 5 terminal will be created: it will enable the running of the add-on as a managed process via C#. In addition, operation with configuration files and setup files is considered in this article. The application logic is divided into two parts: the first one describes the methods called after pressing a particular key, while the second part covers optimization launch and management.
Optimization management (Part I): Creating a GUI
Optimization management (Part I): Creating a GUI

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. A few more articles will be written concerning this topic. The extension has been developed using the C# language and design patterns, which additionally demonstrates the ability to expand the terminal capabilities by developing custom modules, as well as the ability to create custom graphical user interfaces using the functionality of a preferred programming language.
Evaluating the ability of Fractal index and Hurst exponent to predict financial time series
Evaluating the ability of Fractal index and Hurst exponent to predict financial time series

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' collective behavior. These mechanisms can lead to the emergence of price dynamics on the exchange, which can define and describe specific properties of price series. When applied to trading, one could benefit from the indicators which can efficiently and reliably estimate the fractal parameters in the scale and time frame, which are relevant in practice.
Developing graphical interfaces based on .Net Framework and C# (part 2): Additional graphical elements
Developing graphical interfaces based on .Net Framework and C# (part 2): Additional graphical elements

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 creating graphical interfaces.
Studying candlestick analysis techniques (part IV): Updates and additions to Pattern Analyzer
Studying candlestick analysis techniques (part IV): Updates and additions to Pattern Analyzer

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 article were taken into account when developing the new version. The resulting application is described in this article.
A DLL for MQL5 in 10 Minutes (Part II): Creating with Visual Studio 2017
A DLL for MQL5 in 10 Minutes (Part II): Creating with Visual Studio 2017

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 Studio 2017 features an updated interface. The MetaTrader 5 platform has also acquired new features. The article provides a description of dll project development stages, as well as DLL setup and interaction with MetaTrader 5 tools.
Using MATLAB 2018 computational capabilities in MetaTrader 5
Using MATLAB 2018 computational capabilities in MetaTrader 5

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 linking MetaTrader 5 and MATLAB using modern 64-bit versions of the platforms, which are utilized nowadays. With the entire sequence of connecting MATLAB considered, MQL5 developers will be able to create applications with advanced computational capabilities much faster, avoiding «pitfalls».
Extracting structured data from HTML pages using CSS selectors
Extracting structured data from HTML pages using CSS selectors

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 calendars, public signals, account monitoring and additional online quote sources will become available straight from MQL.
Developing graphical interfaces for Expert Advisors and indicators based on .Net Framework and C#
Developing graphical interfaces for Expert Advisors and indicators based on .Net Framework and C#

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 audiences and does not require any knowledge of C# and .Net technology.
MetaTrader 5 and Python integration: receiving and sending data
MetaTrader 5 and Python integration: receiving and sending data

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, statistics and machine learning. One of the leading programming languages for data processing is Python. The article provides a description of how to connect MetaTrader 5 and Python using sockets, as well as how to receive quotes via the terminal API.
MQL Parsing by Means of MQL
MQL Parsing by Means of MQL

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
How to create and test custom MOEX symbols in MetaTrader 5

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 in this article is the possibility to work with an arbitrary format of text files used in the creation of the custom symbol. This allows working with any financial symbols and data sources. After creating a custom symbol, we can use all the capabilities of the MetaTrader 5 Strategy Tester to test trading algorithms for exchange instruments.
Using OpenCL to test candlestick patterns
Using OpenCL to test candlestick patterns

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 the fast and slow optimization modes.
Deep Neural Networks (Part VIII). Increasing the classification quality of bagging ensembles
Deep Neural Networks (Part VIII). Increasing the classification quality of bagging ensembles

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 network hyperparameters and postprocessing parameters are evaluated.
950 websites broadcast the Economic Calendar from MetaQuotes
950 websites broadcast the Economic Calendar from MetaQuotes

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 events with explanations and graphs in addition to the main website content.
Developing stock indicators featuring volume control through the example of the delta indicator
Developing stock indicators featuring volume control through the example of the delta indicator

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 well as their operation in real time and in the strategy tester are also described.
Integrating MQL-based Expert Advisors and databases (SQL Server, .NET and C#)
Integrating MQL-based Expert Advisors and databases (SQL Server, .NET and C#)

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 Microsoft .NET platform and the C# language. The methods used in the article are also suitable for experts written in MQL4, with minor adjustments.
Deep Neural Networks (Part VII). Ensemble of neural networks: stacking
Deep Neural Networks (Part VII). Ensemble of neural networks: stacking

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 outputs after pruning. The second one takes all 500 outputs of the ensemble as input, prunes and combines them. The neural networks will be built using the keras/TensorFlow package for Python. The features of the package will be briefly considered. Testing will be performed and the classification quality of bagging and stacking ensembles will be compared.
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How to create Requirements Specification for ordering a trading robot

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 sleep or food and is not subject to human weaknesses. In this article, we show how to create Requirements Specification when ordering a trading robot in the Freelance service.
Deep Neural Networks (Part VI). Ensemble of neural network classifiers: bagging
Deep Neural Networks (Part VI). Ensemble of neural network classifiers: bagging

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 neural network classifiers that make up the ensemble. The quality of the optimized neural network obtained in the previous article of the series is compared with the quality of the created ensemble of neural networks. Possibilities of further improving the quality of the ensemble's classification are considered.
ZUP - Universal ZigZag with Pesavento patterns. Search for patterns
ZUP - Universal ZigZag with Pesavento patterns. Search for patterns

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 patterns using the ZUP graphical interfaces and save their parameters to a file. After that you can quickly check, whether these new patterns can be found on charts.
Deep Neural Networks (Part V). Bayesian optimization of DNN hyperparameters
Deep Neural Networks (Part V). Bayesian optimization of DNN hyperparameters

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 optimal hyperparameters in different training variants is compared. Depth of effectiveness of the DNN optimal hyperparameters has been checked in forward tests. The possible directions for improving the classification quality have been determined.
Comparing speeds of self-caching indicators
Comparing speeds of self-caching indicators

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 handles caching. Considering the indicator handles inside the MQL5 core is analyzed as well.
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How to create a graphical panel of any complexity level

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 scheme, which shows the inheritance of objects. From this article, you will also learn how events are handled and how they are delivered to dependent controls. Additional examples show how to edit panel parameters, such as the size and the background color.
LifeHack for traders: Blending ForEach with defines (#define)
LifeHack for traders: Blending ForEach with defines (#define)

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 into the macro substitution of the #define preprocessor.
Controlled optimization: Simulated annealing
Controlled optimization: Simulated annealing

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 trading strategies — Simulated annealing. The method's algorithm, its implementation and integration into any Expert Advisor are considered. The developed algorithm is tested on the Moving Average EA.
LifeHack for traders: Fast food made of indicators
LifeHack for traders: Fast food made of indicators

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 in MQL5. All functions are as clear as possible and perfectly suited for step-by-step debugging.
Automatic Selection of Promising Signals
Automatic Selection of Promising Signals

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 considers the development of tools, which help search for potentially promising trading signals straight from the terminal.
Creating a custom news feed for MetaTrader 5
Creating a custom news feed for MetaTrader 5

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 integrated with the MetaTrader 5 terminal.
R-squared as an estimation of quality of the strategy balance curve
R-squared as an estimation of quality of the strategy balance curve

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 growing and stable strategies. The work discusses the principles of its construction and statistical methods used in estimation of properties and quality of this metric.
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes

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 expert advisors.