MQL5 Programming Articles
Study the MQL5 language for programming trading strategies in numerous published articles mostly written by you - the community members. The articles are grouped into categories to help you quicker find answers to any questions related to programming: Integration, Tester, Trading Strategies, etc.
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Decreasing Memory Consumption by Auxiliary Indicators
If an indicator uses values of many other indicators for its calculations, it consumes a lot of memory. The article describes several methods of decreasing the memory consumption when using auxiliary indicators. Saved memory allows increasing the number of simultaneously used currency pairs, indicators and strategies in the client terminal. It increases the reliability of trade portfolio. Such a simple care about technical resources of your computer can turn into money resources at your deposit.
Graphical Interfaces IX: The Color Picker Control (Chapter 1)
With this article we begin chapter nine of series of articles dedicated to creating graphical interfaces in MetaTrader trading terminals. It consists of two chapters where new elements of controls and interface, such as color picker, color button, progress bar and line chart are presented.
Price Action Analysis Toolkit Development (Part 51): Revolutionary Chart Search Technology for Candlestick Pattern Discovery
This article is intended for algorithmic traders, quantitative analysts, and MQL5 developers interested in enhancing their understanding of candlestick pattern recognition through practical implementation. It provides an in‑depth exploration of the CandlePatternSearch.mq5 Expert Advisor—a complete framework for detecting, visualizing, and monitoring classical candlestick formations in MetaTrader 5. Beyond a line‑by‑line review of the code, the article discusses architectural design, pattern detection logic, GUI integration, and alert mechanisms, illustrating how traditional price‑action analysis can be automated efficiently.
Brute force approach to pattern search (Part III): New horizons
This article provides a continuation to the brute force topic, and it introduces new opportunities for market analysis into the program algorithm, thereby accelerating the speed of analysis and improving the quality of results. New additions enable the highest-quality view of global patterns within this approach.
Automating Trading Strategies in MQL5 (Part 14): Trade Layering Strategy with MACD-RSI Statistical Methods
In this article, we introduce a trade layering strategy that combines MACD and RSI indicators with statistical methods to automate dynamic trading in MQL5. We explore the architecture of this cascading approach, detail its implementation through key code segments, and guide readers on backtesting to optimize performance. Finally, we conclude by highlighting the strategy’s potential and setting the stage for further enhancements in automated trading.
Promote Your Development Projects Using EX5 Libraries
Hiding of the implementation details of classes/functions in an .ex5 file will enable you to share your know-how algorithms with other developers, set up common projects and promote them in the Web. And while the MetaQuotes team spares no effort to bring about the possibility of direct inheritance of ex5 library classes, we are going to implement it right now.
Everything you need to learn about the MQL5 program structure
Any Program in any programming language has a specific structure. In this article, you will learn essential parts of the MQL5 program structure by understanding the programming basics of every part of the MQL5 program structure that can be very helpful when creating our MQL5 trading system or trading tool that can be executable in the MetaTrader 5.
Developing a trading Expert Advisor from scratch (Part 19): New order system (II)
In this article, we will develop a graphical order system of the "look what happens" type. Please note that we are not starting from scratch this time, but we will modify the existing system by adding more objects and events on the chart of the asset we are trading.
Reimagining Classic Strategies (Part 20): Modern Stochastic Oscillators
This article demonstrates how the stochastic oscillator, a classical technical indicator, can be repurposed beyond its conventional use as a mean-reversion tool. By viewing the indicator through a different analytical lens, we show how familiar strategies can yield new value and support alternative trading rules, including trend-following interpretations. Ultimately, the article highlights how every technical indicator in the MetaTrader 5 terminal holds untapped potential, and how thoughtful trial and error can uncover meaningful interpretations hidden from view.
Self-organizing feature maps (Kohonen maps) - revisiting the subject
This article describes techniques of operating with Kohonen maps. The subject will be of interest to both market researchers with basic level of programing in MQL4 and MQL5 and experienced programmers that face difficulties with connecting Kohonen maps to their projects.
Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting
Based on universal tools designed for working with Kohonen networks, we construct the system of analyzing and selecting the optimal EA parameters and consider forecasting time series. In Part I, we corrected and improved the publicly available neural network classes, having added necessary algorithms. Now, it is time to apply them to practice.
Graphical Interfaces X: Word wrapping algorithm in the Multiline Text box (build 12)
We continue to develop the Multiline Text box control. This time our task is to implement an automatic word wrapping in case a text box width overflow occurs, or a reverse word wrapping of the text to the previous line if the opportunity arises.
Graphical Interfaces I: Testing Library in Programs of Different Types and in the MetaTrader 4 Terminal (Chapter 5)
In the previous chapter of the first part of the series about graphical interfaces, the form class was enriched by methods which allowed managing the form by pressing its controls. In this article, we will test our work in different types of MQL program such as indicators and scripts. As the library was designed to be cross-platform so it could be used in all MetaTrader platforms, we will also test it in MetaTrader 4.
Understand and Use MQL5 Strategy Tester Effectively
There is an essential need for MQL5 programmers or developers to master important and valuable tools. One of these tools is the Strategy Tester, this article is a practical guide to understanding and using the strategy tester of MQL5.
Custom Graphical Controls. Part 3. Forms
This is the last of the three articles devoted to graphical controls. It covers the creation of the main graphical interface component - the form - and its use in combination with other controls. In addition to the form classes, CFrame, CButton, CLabel classes have been added to the control library.
Better programmer (Part 05): How to become a faster developer
Every developer wants to be able to write code faster, and being able to code faster and effective is not some kind of special ability that only a few people are born with. It's a skill that can be learned, that is what I'm trying to teach in this article.
Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects
In this article, I will create two classes (the class of DOM snapshot object and the class of DOM snapshot series object) and test creation of the DOM data series.
MQL5 Cookbook: Analyzing Position Properties in the MetaTrader 5 Strategy Tester
We will present a modified version of the Expert Advisor from the previous article "MQL5 Cookbook: Position Properties on the Custom Info Panel". Some of the issues we will address include getting data from bars, checking for new bar events on the current symbol, including a trade class of the Standard Library to a file, creating a function to search for trading signals and a function for executing trading operations, as well as determining trade events in the OnTrade() function.
The Kalman Filter for Forex Mean-Reversion Strategies
The Kalman filter is a recursive algorithm used in algorithmic trading to estimate the true state of a financial time series by filtering out noise from price movements. It dynamically updates predictions based on new market data, making it valuable for adaptive strategies like mean reversion. This article first introduces the Kalman filter, covering its calculation and implementation. Next, we apply the filter to a classic mean-reversion forex strategy as an example. Finally, we conduct various statistical analyses by comparing the filter with a moving average across different forex pairs.
Creating a mean-reversion strategy based on machine learning
This article proposes another original approach to creating trading systems based on machine learning, using clustering and trade labeling for mean reversion strategies.
Graphical Interfaces X: Sorting, rebuilding the table and controls in the cells (build 11)
We continue to add new features to the rendered table: data sorting, managing the number of columns and rows, setting the table cell types to place controls into them.
Introduction to Connexus (Part 1): How to Use the WebRequest Function?
This article is the beginning of a series of developments for a library called “Connexus” to facilitate HTTP requests with MQL5. The goal of this project is to provide the end user with this opportunity and show how to use this helper library. I intended to make it as simple as possible to facilitate study and to provide the possibility for future developments.
Timeseries in DoEasy library (part 36): Object of timeseries for all used symbol periods
In this article, we will consider combining the lists of bar objects for each used symbol period into a single symbol timeseries object. Thus, each symbol will have an object storing the lists of all used symbol timeseries periods.
Graphical Interfaces V: The List View Element (Chapter 2)
In the previous chapter, we wrote classes for creating vertical and horizontal scrollbars. In this chapter, we will implement them. We will write a class for creating the list view element, a compound part of which will be a vertical scrollbar.
Graphical Interfaces XI: Integrating the Standard Graphics Library (build 16)
A new version of the graphics library for creating scientific charts (the CGraphic class) has been presented recently. This update of the developed library for creating graphical interfaces will introduce a version with a new control for creating charts. Now it is even easier to visualize data of different types.
Movement continuation model - searching on the chart and execution statistics
This article provides programmatic definition of one of the movement continuation models. The main idea is defining two waves — the main and the correction one. For extreme points, I apply fractals as well as "potential" fractals - extreme points that have not yet formed as fractals.
Cascade Order Trading Strategy Based on EMA Crossovers for MetaTrader 5
The article guides in demonstrating an automated algorithm based on EMA Crossovers for MetaTrader 5. Detailed information on all aspects of demonstrating an Expert Advisor in MQL5 and testing it in MetaTrader 5 - from analyzing price range behaviors to risk management.
Advantages of MQL5 Signals
Trading Signals service recently introduced in MetaTrader 5 allows traders to copy trading operations of any signals provider. Users can select any signal, subscribe to it and all deals will be copied at their accounts. Signals providers can set their subscription prices and receive a fixed monthly fee from their subscribers.
Implementing an ARIMA training algorithm in MQL5
In this article we will implement an algorithm that applies the Box and Jenkins Autoregressive Integrated Moving Average model by using Powells method of function minimization. Box and Jenkins stated that most time series could be modeled by one or both of two frameworks.
How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 6): Two RSI indicators cross each other's lines
The multi-currency expert advisor in this article is an expert advisor or trading robot that uses two RSI indicators with crossing lines, the Fast RSI which crosses with the Slow RSI.
Designing and implementing new GUI widgets based on CChartObject class
After I wrote a previous article on semi-automatic Expert Advisor with GUI interface it turned out that it would be desirable to enhance interface with some new functionalities for more complex indicators and Expert Advisors. After getting acquainted with MQL5 standard library classes I implemented new widgets. This article describes a process of designing and implementing new MQL5 GUI widgets that can be used in indicators and Expert Advisors. The widgets presented in the article are CChartObjectSpinner, CChartObjectProgressBar and CChartObjectEditTable.
Graphics in DoEasy library (Part 83): Class of the abstract standard graphical object
In this article, I will create the class of the abstract graphical object. This object is to serve as a basis for creating the class of standard graphical objects. Graphical objects feature multiple properties. Therefore, I will need to do a lot of preparatory work before actually creating the abstract graphical object class. This work includes setting the properties in the library enumerations.
Integration of Broker APIs with Expert Advisors using MQL5 and Python
In this article, we will discuss the implementation of MQL5 in partnership with Python to perform broker-related operations. Imagine having a continuously running Expert Advisor (EA) hosted on a VPS, executing trades on your behalf. At some point, the ability of the EA to manage funds becomes paramount. This includes operations such as topping up your trading account and initiating withdrawals. In this discussion, we will shed light on the advantages and practical implementation of these features, ensuring seamless integration of fund management into your trading strategy. Stay tuned!
DoEasy. Controls (Part 1): First steps
This article starts an extensive topic of creating controls in Windows Forms style using MQL5. My first object of interest is creating the panel class. It is already becoming difficult to manage things without controls. Therefore, I will create all possible controls in Windows Forms style.
Neural networks made easy (Part 29): Advantage Actor-Critic algorithm
In the previous articles of this series, we have seen two reinforced learning algorithms. Each of them has its own advantages and disadvantages. As often happens in such cases, next comes the idea to combine both methods into an algorithm, using the best of the two. This would compensate for the shortcomings of each of them. One of such methods will be discussed in this article.
The Principles of Economic Calculation of Indicators
Calls to user and technical indicators takes up very little space in the program code of automated trading systems. Often it’s simply a few code lines. But it often happens that it is these few lines of code which use up the largest portion of time, which needs to be spent on testing the Expert Advisor. Therefore, everything that is related to data calculations within an indicator, needs to be considered much more thoroughly than would seem at first glance. This article will talk precisely about this.
Graphics in DoEasy library (Part 86): Graphical object collection - managing property modification
In this article, I will consider tracking property value modification, as well as removing and renaming graphical objects in the library.
Neural networks made easy (Part 27): Deep Q-Learning (DQN)
We continue to study reinforcement learning. In this article, we will get acquainted with the Deep Q-Learning method. The use of this method has enabled the DeepMind team to create a model that can outperform a human when playing Atari computer games. I think it will be useful to evaluate the possibilities of the technology for solving trading problems.
Integrating AI model into already existing MQL5 trading strategy
This topic focuses on incorporating a trained AI model (such as a reinforcement learning model like LSTM or a machine learning-based predictive model) into an existing MQL5 trading strategy.
Graphical Interfaces XI: Text edit boxes and Combo boxes in table cells (build 15)
In this update of the library, the Table control (the CTable class) will be supplemented with new options. The lineup of controls in the table cells is expanded, this time adding text edit boxes and combo boxes. As an addition, this update also introduces the ability to resize the window of an MQL application during its runtime.