Articles with examples of trading robots developed in MQL5

In continuation of our work on the Expert Advisor from the previous article of the series called "MQL5 Cookbook: Analyzing Position Properties in the MetaTrader 5 Strategy Tester", we will enhance it with a whole lot of useful functions, as well as improve and optimize the existing ones. The Expert Advisor will this time have external parameters that can be optimized in the MetaTrader 5 Strategy Tester and will in some ways resemble a simple trading system.

Some traders execute all their trades automatically, and some mix automatic and manual trades based on the output of several indicators. Being a member of the latter group I needed an interactive tool to asses dynamically risk and reward price levels directly from the chart. This article will present a way to implement an interactive semi-automatic Expert Advisor with predefined equity risk and R/R ratio. The Expert Advisor risk, R/R and lot size parameters can be changed during runtime on the EA panel.

In the first two chapters of the fifth part of the series, we developed classes for creating a scrollbar and a view list. In this chapter, we will speak about creating a class for the combobox control. This is also a compound control containing, among others, elements considered in the previous chapters of the fifth part.

The seventh part of the series on MetaTrader graphical interfaces deals with three table types: text label, edit box and rendered one. Another important and frequently used controls are tabs allowing you to show/hide groups of other controls and develop space effective interfaces in your MQL applications.

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.

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.

This article continues the series of publications on a universal Expert Advisor model. This part describes in detail the original event model based on centralized data processing, and considers the structure of the CStrategy base class of the engine.

This article shows you how to build an Object-Oriented Expert Advisor from scratch, from conceiving a theoretical trading idea to programming a MQL5 EA that makes that idea real in the empirical world. Learning by doing is IMHO a solid approach to succeed, so I am showing a practical example in order for you to see how you can order your ideas to finally code your Forex robots. My goal is also to invite you to adhere the OO principles.

It is time to briefly summarize the information provided in the previous articles on position properties. In this article, we will create a few additional functions to get the properties that can only be obtained after accessing the history of deals. We will also get familiar with data structures that will allow us to access position and symbol properties in a more convenient way.

I am not a professional programmer. And thus, the principle of "going from the simple to the complex" is of primary importance to me when I am working on trading system development. What exactly is simple for me? First of all, it is the visualization of the process of creating the system, and the logic of its work. Also, it is a minimum of handwritten code. In this article, I will attempt to create and test the trading system, based on a Matlab package, and then write an Expert Advisor for MetaTrader 5. The historical data from MetaTrader 5 will be used for the testing process.

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 will implement the ability to select text using various key combinations and deletion of the selected text, similar to the way it is done in any other text editor. In addition, we will continue to optimize the code and prepare the classes to move on to the final process of the second stage of the library's evolution, where all controls will be rendered as separate images (canvases).

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.