MQL4 and MQL5 Programming Articles

In this article I will address the possibilities of creating customized indicators with candlesticks, pointing out their advantages and disadvantages.

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.

The article considers the necessity and general principles of developing a bundled program that would contain both an Expert Advisor, a script and an indicator.

In this article, we continue expanding the features of the utility for collecting and navigating through symbols. This time, we will create new tabs displaying only the symbols that satisfy some of the necessary parameters and find out how to easily add custom tabs with the necessary sorting rules.

This article describes a new approach to hedging of positions and draws the line in the debates between users of MetaTrader 4 and MetaTrader 5 about this matter. It is a continuation of the first part: "Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1". In the second part, we discuss integration of custom Expert Advisors with HedgeTerminalAPI, which is a special visualization library designed for bi-directional trading in a comfortable software environment providing tools for convenient position management.

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.

The article deals with some issues arising when traders apply various money management systems to Forex trading. Experimental data obtained from performing trading deals using different money management (MM) methods is also described.

Most subscribers choose a trade signal by the beauty of the balance curve and by the number of subscribers. This is why many today's providers care of beautiful statistics rather than of real signal quality, often playing with lot sizes and artificially reducing the balance curve to an ideal appearance. This paper deals with the reliability criteria and the methods a provider may use to enhance its signal quality. An exemplary analysis of a specific signal history is presented, as well as methods that would help a provider to make it more profitable and less risky.

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.

Working on financial markets represents, first of all, trade operations. We all, starting from the very childhood, have an intuitive idea of what is to buy and to sell. But Forex trading is still something special. This article deals with the ideas necessary to explain some terms. We will also consider the MQL 4 functions that correspond with those terms.

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.

It's not just simple; it's super simple. Testing Expert Advisors on non-standard time frames is possible! All we need to do is to replace standard time frame data with non-standard time frame data. Furthermore, we can even test Expert Advisors that use data from several non-standard time frames.

There exists some components in the MQL5 Standard Library that may prove to be useful in the MQL4 version of cross-platform expert advisors. This article deals with a method of making certain components of the MQL5 Standard Library compatible with the MQL4 compiler.

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.

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.

This article describes how object-oriented programming can be used for creating multi-timeframe and multi-currency panels for MetaTrader 5. The main goal is to build a universal panel, which can be used for displaying many different kinds of data, such as prices, price changes, indicator values or custom buy/sell conditions without the need to modify the code of the panel itself.

The article analyzes the application of the Bayes' formula for increasing the reliability of trading systems by means of using signals from multiple independent indicators. Theoretical calculations are verified with a simple universal EA, configured to work with arbitrary indicators.

This article is about what you can not see in a backtest report, what you should expect using automated trading software, how to manage your money if you are using expert advisors, and how to cover a significant loss to remain in the trading activity when you are using automated procedures.

Is it really necessary to be a programmer to develop trading robots? Do we need to spend years monitoring price charts to be able to "feel" the market? All these issues have been discussed in our interview with Dmitry Terentew (SAFF), whose trading robot has been occupying the first page of the Championship from the very beginning.

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.

In this article, we will develop a grider EA for trading in a trend direction within a range. Thus, the EA is to be suited mostly for Forex and commodity markets. According to the tests, our grider showed profit since 2018. Unfortunately, this is not true for the period of 2014-2018.

The player of trading. Only four words, no explanation is needed. Thoughts about a small box with buttons come to your mind. Press one button - it plays, move the lever - the playback speed changes. In reality, it is pretty similar. In this article, I want to show my development that plays trade history almost like it is in real time. The article covers some nuances of OOP, working with indicators and managing charts.

The main drawback of traditional methods for displaying price information using bars and Japanese candlesticks is that they are bound to the time period. It was perhaps optimal at the time when these methods were created but today when the market movements are sometimes too rapid, prices displayed in a chart in this way do not contribute to a prompt response to the new movement. The proposed price chart display method does not have this drawback and provides a quite familiar layout.

This article describes the use of methods of the theory of probability and mathematical statistics in the analysis of trading systems.

If MQL5 language functional is not enough for fulfilling tasks, an MQL5 programmer has to use additional tools. He\she has to pass to another programming language and create an intermediate DLL. MQL5 has the possibility to present various data types and transfer them to API but, unfortunately, MQL5 cannot solve the issue concerning data extraction from the accepted pointer. In this article we will dot all the "i"s and show simple mechanisms of exchanging and working with complex data types.

In this article, we will create a new base class of all library objects adding the event functionality to all its descendants and develop the class for tracking symbol collection events based on the new base class. We will also change account and account event classes for developing the new base object functionality.

This article describes the theory of exchange pricing and clearing specifics of Moscow Exchange's Derivatives Market. This is a comprehensive article for beginners who want to get their first exchange experience on derivatives trading, as well as for experienced forex traders who are considering trading on a centralized exchange platform.

The market price is formed out of a stable balance between demand and supply which, in turn, depend on a variety of economic, political and psychological factors. Differences in nature as well as causes of influence of these factors make it difficult to directly consider all the components. This article sets forth an attempt to predict the market price on the basis of an elaborated regression model.

An algorithm of statistical protection of open positive swap positions from unwanted price movements. This article features a variant of the carry trade protection strategy that allows to compensate for potential risk of the price movement in the direction opposite to that of the open position.

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.