Articles with MQL5 programming examples

Creation of expert advisors in the MetaTrader trading system has a number of features.

The article covers everything you can do with strings in MQL5. It should be of interest primarily to novice MQL5 programmers, while experienced developers will have a good opportunity to summarize and systematize their knowledge.

This time we will consider the Standard chart control. It will allow to create arrays of subcharts with the ability to synchronize horizontal scrolling. In addition, we will continue to optimize the library code to reduce the CPU load.

When making trading decisions, we often have to analyze charts on several timeframes. At the same time, these charts often contain graphical objects. Applying the same objects to all charts is inconvenient. In this article, I propose to automate cloning of objects to be displayed on charts.

In this article, we will complete the description of the pending request trading concept and create the functionality for removing pending orders, as well as modifying orders and positions under certain conditions. Thus, we are going to have the entire functionality enabling us to develop simple custom strategies, or rather EA behavior logic activated upon user-defined conditions.

The number of trading robots used on the currency markets has significantly increased recently. They employ various concepts and strategies, however, none of them has yet succeeded to create a win-win sample of artificial intelligence. Therefore, many traders remain committed to manual trading. But even for such specialists, robotic assistants or, so called, trading panels, are created. This article is yet another example of creating a trading panel from scratch.

This article covers general principles of development of graphical controls. We are going to prepare tools for a quick and convenient work with graphical objects, analyze an example of creation of a simple control for entering text or numeric data as well as the ways of using it.

The complex codes consist of a set of simple codes. If you are familiar with them, it doesn't look so complicated. In this article, we will consider how to create an indicator with multiple indicator buffers. As an example, the Aroon indicator is analyzed in details, and two different versions of the code are presented.

There are 21 time frames available in MetaTrader 5 for analysis. You can take advantage of special chart objects that you can place on the existing chart and set the symbol, time frame and some other properties right there. This article will provide detailed information on such chart graphical objects: we will create an indicator with controls (buttons) that will allow us to set multiple chart objects in a subwindow at the same time. Furthermore, chart objects will accurately fit in the subwindow and will be automatically adjusted when the main chart or terminal window is resized.

In this article the author talks about evolutionary calculations with the use of a personally developed genetic algorithm. He demonstrates the functioning of the algorithm, using examples, and provides practical recommendations for its usage.

This article is dedicated to the Three Line Break chart, suggested by Steve Nison in his book "Beyond Candlesticks". The greatest advantage of this chart is that it allows filtering minor fluctuations of a price in relation to the previous movement. We are going to discuss the principle of the chart construction, the code of the indicator and some examples of trading strategies based on it.

This article will describe advanced adaptive indicators and their implementation in MQL5: Adaptive Cyber Cycle, Adaptive Center of Gravity and Adaptive RVI. All indicators were originally presented in "Cybernetic Analysis for Stocks and Futures" by John F. Ehlers.

These are some tips from a professional programmer about methods, techniques and auxiliary tools which can make programming easier. We will discuss parameters which can be restored after terminal restart (shutdown). All examples are real working code segments from my Cayman project.

21 way to ease the life: Latent features in MetaTrader 4 Client Terminal. Full screen; hot keys; Fast Navigation bar; minimizing windows; favorites; traffic reduction; disabling of news; symbol sets; Market Watch; templates for testing and independent charts; profiles; crosshair; electronic ruler; barwise chart paging; account history in the chart; types of pending orders; modifying of StopLoss and TakeProfit; undo deletion; chart print.

You don't need to know what are polymorphism, encapsulation, etc. all about in to use object-oriented programming (OOP)... you may simply use these features. This article covers the basics of OOP with hands-on examples.

This article is intended primarily for the programmers who have already learned the language but have not fully mastered the program development yet. It reveals some debugging techniques and presents a combined experience of the author and many other programmers.

How to create a trading signal generator based on a custom indicator? How to create a custom indicator? How to get access to custom indicator data? Why do we need the IS_PATTERN_USAGE(0) structure and model 0?

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.

The article deals with managing MetaTrader user interface elements via an auxiliary DLL library using the example of changing push notification delivery settings. The library source code and the sample script are attached to the article.

In this article a universal trend indicator is created based on a number of standard indicators. An additionally created graphical interface allows selecting the type of indicator and adjusting its parameter. The indicator is displayed in a separate window with rows of colored icons.

A time series is a dynamic system, in which values of a random variable are received continuously or at successive equally spaced points in time. Transition from 2D to 3D market analysis provides a new look at complex processes and research objects. The article describes visualization methods providing 3D representation of two-dimensional data.

ZUP - Universal ZigZag with Pesavento Patterns. Part 2 - Description of Embedded Tools

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.

This is the second part of the article showing the development of a multi-symbol signal Expert Advisor for manual trading. We have already created the graphical interface. It is now time to connect it with the program's functionality.

In this article, I will create a dynamic multidimensional array class with the ability to change the amount of data in any dimension. Based on the created class, I will create a two-dimensional dynamic array to store some dynamically changed properties of graphical objects.

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.

In this article, we will consider creation of a symbol collection based on the abstract symbol object developed in the previous article. The abstract symbol descendants are to clarify a symbol data and define the availability of the basic symbol object properties in a program. Such symbol objects are to be distinguished by their affiliation with groups.

The article deals with storing data in the program's source code and creating audio and graphical files out of them. When developing an application, we often need audio and images. The MQL language features several methods of using such data.

Using limit orders instead of conventional take profits has long been a topic of discussions on the forum. What is the advantage of this approach and how can it be implemented in your trading? In this article, I want to offer you my vision of this topic.

While analyzing a huge number of trading strategies, orders for development of applications for MetaTrader 5 and MetaTrader 4 terminals and various MetaTrader websites, I came to the conclusion that all this diversity is based mostly on the same elementary functions, actions and values appearing regularly in different programs. This resulted in DoEasy cross-platform library for easy and quick development of МetaТrader 5 and МetaТrader 4 applications.

This article demonstrates how to utilize Depth of Market (DOM) programmatically and describes the operation principle of CMarketBook class, that can expand the Standard Library of MQL5 classes and offer convenient methods of using DOM.

The article considers an approach to stress testing of a trading strategy using custom symbols. A custom symbol class is created for this purpose. This class is used to receive tick data from third-party sources, as well as to change symbol properties. Based on the results of the work done, we will consider several options for changing trading conditions, under which a trading strategy is being tested.

We continue the development of the functionality allowing users to trade using pending requests. In this article, we are going to implement the ability to place pending orders under certain conditions.

In the previous articles, we checked the concept of pending trading requests. A pending request is, in fact, a common trading order executed by a certain condition. In this article, we are going to create full-fledged classes of pending request objects — a base request object and its descendants.

In this article, I will tell you how to successfully trade by merging a very well-known strategy and a neural network. It will be about the Thomas DeMark's Sequential strategy with the use of an artificial intelligence system. Only the first part of the strategy will be applied, using the Setup and Intersection signals.

A simple, universal and reliable solution of information exchange between МetaТrader 4 Expert Advisor and the outside world. Suppliers and consumers of the information can be located on different computers, the connection is performed through the global IP addresses.

The article describes how to implement Interprocess Communication between MetaTrader 5 client terminals using named pipes. For the use of the named pipes, the CNamedPipes class is developed. For the test of its use and to measure the connection throughput, the tick indicator, the server and client scripts are presented. The use of named pipes is sufficient for real-time quotes.

In this article, we are going to store some data in the value of the orders and positions magic number and start the implementation of pending requests. To check the concept, let's create the first test pending request for opening market positions when receiving a server error requiring waiting and sending a repeated request.