Articles with examples of trading robots developed in MQL5

In this article, we will develop a framework for a trading system based on the Triple Screen strategy in MQL5. The Expert Advisor will not be developed from scratch. Instead, we will simply modify the program from the previous article "MQL5 Cookbook: Using Indicators to Set Trading Conditions in Expert Advisors" which already substantially serves our purpose. So the article will also demonstrate how you can easily modify patterns of ready-made programs.

In the second part of the series, we will show in detail the development of such interface elements as main menu and context menu. We will also mention drawing elements and create a special class for it. We will discuss in depth such question as managing program events including custom ones.

In the previous article, we have enriched our library with four controls frequently used in graphical interfaces: checkbox, edit, edit with checkbox and check combobox. The second chapter of the sixth part will be dedicated to the slider and the dual slider controls.

Would you like to see an hourly chart with bars opening from the second and the fifth minute of the hour? What does a redrawn chart look like when the opening time of bars is changing every minute? What advantages does trading on such charts have? You will find answers to these questions in this article.

This article is the beginning of the sixth part of the series dedicated to the development of the library for creating graphical interfaces in the MetaTrader terminals. In the first chapter, we are going to discuss the checkbox control, the edit control and their mixed types.

This article presents an alternative method of GUI creation based on layouts and containers, using one layout manager — the CBox class. The CBox class is an auxiliary control that acts as a container for essential controls in a GUI panel. It can make designing graphical panels easier, and in some cases, reduce coding time.

Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode. In the previous article, we discussed the first steps that anyone needs to understand before proceeding to creating an Expert Advisor that trades automatically. We considered the concepts and the structure.

This article is an introduction to a series of articles about programming. It is assumed here that the reader has never dealt with programming before. So, this series starts from the very basics. Programming knowledge level: Absolute Beginner.

When communicating in various forums, I often used examples of my test results displayed as screenshots of Microsoft Excel charts. I have many times been asked to explain how such charts can be created. Finally, I now have some time to explain it all in this article.

In the last part of the series of articles about the CStrategy trading engine, we will consider simultaneous operation of multiple trading algorithms, will learn to load strategies from XML files, and will present a simple panel for selecting Expert Advisors from a single executable module, and managing their trading modes.

The library code needs to be optimized: it should be more regularized, which is — more readable and comprehensible for studying. In addition, we will continue to develop the controls created previously: lists, tables and scrollbars.

Perhaps one of the most advanced models among currently existing language neural networks is GPT-3, the maximal variant of which contains 175 billion parameters. Of course, we are not going to create such a monster on our home PCs. However, we can view which architectural solutions can be used in our work and how we can benefit from them.

Development of the library for creating graphical interfaces continues. The Time and List of checkboxes controls will be covered this time. In addition, the CTable class now provides the ability to sort data in ascending or descending order.

The article shows the workability of graphics in creation of a convenient interface to manage trading.

Many workstations contain some representative image which shows something about the user. These images make the working environment more beautiful and exciting. Let's see how to make the charts more interesting by adding a background.

In this article, we will create a pattern that uses a single set of parameters for optimization of a trading system, while allowing for unlimited number of parameters. The list of symbols will be created in a standard text file (*.txt). Input parameters for each symbol will also be stored in files. This way we will be able to circumvent the restriction of the terminal on the number of input parameters of an Expert Advisor.

This is the final chapter of the second part of the series about graphical interfaces. Here, we are going to consider the creation of the main menu. The development of this control and setting up handlers of the library classes for correct reaction to the user's actions will be demonstrated here. We will also discuss how to attach context menus to the items of the main menu. Adding to that, we will mention blocking currently inactive elements.

The first chapter of seventh part introduced three classes of controls for creating tables: text label table (CLabelsTable), edit box table (CTable) and rendered table (CCanvasTable). In this article (chapter two) we are going to consider the Tabs control.

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.

Any trader's trading activity involves various mechanisms and interrelationships including relations among orders. This article suggests a solution of OCO orders processing. Standard library classes are extensively involved, as well as new data types are created herein.

We are still discussing the development of the library for creating graphical interfaces in the MetaTrader environment. In the first article of the fifth part of the series, we will write classes for creating vertical and horizontal scrollbars.

Just over a year ago joo, in his article "Genetic Algorithms - It's Easy!", gave us a tool for implementation of the genetic algorithm in MQL5. Now utilizing the tool we will create an Expert Advisor that will genetically optimize its own parameters upon certain boundary conditions...

The second chapter of the part nine is dedicated to the progress bar and line chart controls. As always, there will be detailed examples provided to reveal how these controls can be used in custom MQL applications.

In this article, I will try to test the assumption that any system with even a small understanding of the market can operate on a global scale. I will not invent any theories or patterns, but I will only use known facts, gradually translating these facts into the language of mathematical analysis.

The project involves using Python for deep learning-based forecasting in financial markets. We will explore the intricacies of testing the model's performance using key metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), and R-squared (R2) and we will learn how to wrap everything into an executable. We will also make a ONNX model file with its EA.

At the current stage of development, the library for creating graphical interfaces contains a form and several controls that can be attached to it. It was mentioned before that one of the future articles would be dedicated to the multi-window mode. Now, we have everything ready for that and we will deal with it in the following chapter. In this chapter, we will write classes for creating the status bar and tooltip informational interface elements.

This time we will create a simple Expert Advisor that will get position properties on the current symbol and display them on the custom info panel during manual trading. The info panel will be created using graphical objects and displayed information will be refreshed at every tick. This is going to be much more convenient than all the time having to manually run the script described in the previous article of the series called "MQL5 Cookbook: Getting Position Properties".

In addition to creation of neuronets, the NeuroSolutions software suite allows exporting them as DLLs. This article describes the process of creating a neuronet, generating a DLL and connecting it to an Expert Advisor for trading in MetaTrader 5.

The generator of trade strategies MQL5 Wizard greatly simplifies the testing of trading ideas. The article discusses how to write and connect to the generator of trade strategies MQL5 Wizard your own class of managing open positions by moving the Stop Loss level to a lossless zone when the price goes in the position direction, allowing to protect your profit decrease drawdowns when trading. It also tells about the structure and format of the description of the created class for the MQL5 Wizard.

MQL programming language allows implementing the concept of modular development of trading strategies. The article shows an example of developing a multi-module Expert Advisor consisting of separately compiled file modules.