MQL5 Programming Articles

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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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Matrix and Vector operations in MQL5

Matrix and Vector operations in MQL5

Matrices and vectors have been introduced in MQL5 for efficient operations with mathematical solutions. The new types offer built-in methods for creating concise and understandable code that is close to mathematical notation. Arrays provide extensive capabilities, but there are many cases in which matrices are much more efficient.
An Example of Developing a Spread Strategy for Moscow Exchange Futures
An Example of Developing a Spread Strategy for Moscow Exchange Futures

An Example of Developing a Spread Strategy for Moscow Exchange Futures

The MetaTrader 5 platform allows developing and testing trading robots that simultaneously trade multiple financial instruments. The built-in Strategy Tester automatically downloads required tick history from the broker's server taking into account contract specifications, so the developer does not need to do anything manually. This makes it possible to easily and reliably reproduce trading environment conditions, including even millisecond intervals between the arrival of ticks on different symbols. In this article we will demonstrate the development and testing of a spread strategy on two Moscow Exchange futures.
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Developing a trading Expert Advisor from scratch (Part 19): New order system (II)

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.
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Build Self Optimizing Expert Advisors in MQL5 (Part 4): Dynamic Position Sizing

Build Self Optimizing Expert Advisors in MQL5 (Part 4): Dynamic Position Sizing

Successfully employing algorithmic trading requires continuous, interdisciplinary learning. However, the infinite range of possibilities can consume years of effort without yielding tangible results. To address this, we propose a framework that gradually introduces complexity, allowing traders to refine their strategies iteratively rather than committing indefinite time to uncertain outcomes.
Self-organizing feature maps (Kohonen maps) - revisiting the subject
Self-organizing feature maps (Kohonen maps) - revisiting the subject

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.
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Automating Trading Strategies in MQL5 (Part 13): Building a Head and Shoulders Trading Algorithm

Automating Trading Strategies in MQL5 (Part 13): Building a Head and Shoulders Trading Algorithm

In this article, we automate the Head and Shoulders pattern in MQL5. We analyze its architecture, implement an EA to detect and trade it, and backtest the results. The process reveals a practical trading algorithm with room for refinement.
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Introduction to MQL5 (Part 12): A Beginner's Guide to Building Custom Indicators

Introduction to MQL5 (Part 12): A Beginner's Guide to Building Custom Indicators

Learn how to build a custom indicator in MQL5. With a project-based approach. This beginner-friendly guide covers indicator buffers, properties, and trend visualization, allowing you to learn step-by-step.
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Advanced Order Execution Algorithms in MQL5: TWAP, VWAP, and Iceberg Orders

Advanced Order Execution Algorithms in MQL5: TWAP, VWAP, and Iceberg Orders

An MQL5 framework that brings institutional-grade execution algorithms (TWAP, VWAP, Iceberg) to retail traders through a unified execution manager and performance analyzer for smoother, more precise order slicing and analytics.
Graphical Interfaces IX: The Color Picker Control (Chapter 1)
Graphical Interfaces IX: The Color Picker Control (Chapter 1)

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.
Extending MQL5 Standard Library and Reusing Code
Extending MQL5 Standard Library and Reusing Code

Extending MQL5 Standard Library and Reusing Code

MQL5 Standard Library makes your life as a developer easier. Nevertheless, it does not implement all the needs of all developers in the world, so if you feel that you need some more custom stuff you can take a step further and extend. This article walks you through integrating MetaQuotes' Zig-Zag technical indicator into the Standard Library. We get inspired by MetaQuotes' design philosophy to achieve our goal.
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Neural networks made easy (Part 26): Reinforcement Learning

Neural networks made easy (Part 26): Reinforcement Learning

We continue to study machine learning methods. With this article, we begin another big topic, Reinforcement Learning. This approach allows the models to set up certain strategies for solving the problems. We can expect that this property of reinforcement learning will open up new horizons for building trading strategies.
Graphical Interfaces X: Word wrapping algorithm in the Multiline Text box (build 12)
Graphical Interfaces X: Word wrapping algorithm in the Multiline Text box (build 12)

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)
Graphical Interfaces I: Testing Library in Programs of Different Types and in the MetaTrader 4 Terminal (Chapter 5)

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.
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Developing a Volatility Based Breakout System

Developing a Volatility Based Breakout System

Volatility based breakout system identifies market ranges, then trades when price breaks above or below those levels, filtered by volatility measures such as ATR. This approach helps capture strong directional moves.
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Automating Trading Strategies in MQL5 (Part 34): Trendline Breakout System with R-Squared Goodness of Fit

Automating Trading Strategies in MQL5 (Part 34): Trendline Breakout System with R-Squared Goodness of Fit

In this article, we develop a Trendline Breakout System in MQL5 that identifies support and resistance trendlines using swing points, validated by R-squared goodness of fit and angle constraints, to automate breakout trades. Our plan is to detect swing highs and lows within a specified lookback period, construct trendlines with a minimum number of touch points, and validate them using R-squared metrics and angle constraints to ensure reliability.
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Automating Trading Strategies in MQL5 (Part 17): Mastering the Grid-Mart Scalping Strategy with a Dynamic Dashboard

Automating Trading Strategies in MQL5 (Part 17): Mastering the Grid-Mart Scalping Strategy with a Dynamic Dashboard

In this article, we explore the Grid-Mart Scalping Strategy, automating it in MQL5 with a dynamic dashboard for real-time trading insights. We detail its grid-based Martingale logic and risk management features. We also guide backtesting and deployment for robust performance.
Better programmer (Part 05): How to become a faster developer
Better programmer (Part 05): How to become a faster developer

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.
Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting
Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting

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.
Decreasing Memory Consumption by Auxiliary Indicators
Decreasing Memory Consumption by Auxiliary Indicators

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.
Promote Your Development Projects Using EX5 Libraries
Promote Your Development Projects Using EX5 Libraries

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.
Custom Graphical Controls. Part 3. Forms
Custom Graphical Controls. Part 3. Forms

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.
A scientific approach to the development of trading algorithms
A scientific approach to the development of trading algorithms

A scientific approach to the development of trading algorithms

The article considers the methodology for developing trading algorithms, in which a consistent scientific approach is used to analyze possible price patterns and to build trading algorithms based on these patterns. Development ideals are demonstrated using examples.
Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects
Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects

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
MQL5 Cookbook: Analyzing Position Properties in the MetaTrader 5 Strategy Tester

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.
Timeseries in DoEasy library (part 36): Object of timeseries for all used symbol periods
Timeseries in DoEasy library (part 36): Object of timeseries for all used symbol periods

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.
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Everything you need to learn about the MQL5 program structure

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.
Graphical Interfaces X: Sorting, rebuilding the table and controls in the cells (build 11)
Graphical Interfaces X: Sorting, rebuilding the table and controls in the cells (build 11)

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.
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Price Action Analysis Toolkit Development (Part 32): Python Candlestick Recognition Engine (II) — Detection Using Ta-Lib

Price Action Analysis Toolkit Development (Part 32): Python Candlestick Recognition Engine (II) — Detection Using Ta-Lib

In this article, we’ve transitioned from manually coding candlestick‑pattern detection in Python to leveraging TA‑Lib, a library that recognizes over sixty distinct patterns. These formations offer valuable insights into potential market reversals and trend continuations. Follow along to learn more.
Graphical Interfaces XI: Integrating the Standard Graphics Library (build 16)
Graphical Interfaces XI: Integrating the Standard Graphics Library (build 16)

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.
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Developing Advanced ICT Trading Systems: Implementing Signals in the Order Blocks Indicator

Developing Advanced ICT Trading Systems: Implementing Signals in the Order Blocks Indicator

In this article, you will learn how to develop an Order Blocks indicator based on order book volume (market depth) and optimize it using buffers to improve accuracy. This concludes the current stage of the project and prepares for the next phase, which will include the implementation of a risk management class and a trading bot that uses signals generated by the indicator.
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Price Action Analysis Toolkit Development (Part 19): ZigZag Analyzer

Price Action Analysis Toolkit Development (Part 19): ZigZag Analyzer

Every price action trader manually uses trendlines to confirm trends and spot potential turning or continuation levels. In this series on developing a price action analysis toolkit, we introduce a tool focused on drawing slanted trendlines for easy market analysis. This tool simplifies the process for traders by clearly outlining key trends and levels essential for effective price action evaluation.
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Implementing an ARIMA training algorithm in MQL5

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.
Designing and implementing new GUI widgets based on CChartObject class
Designing and implementing new GUI widgets based on CChartObject class

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.
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Building a Professional Trading System with Heikin Ashi (Part 2): Developing an EA

Building a Professional Trading System with Heikin Ashi (Part 2): Developing an EA

This article explains how to develop a professional Heikin Ashi-based Expert Advisor (EA) in MQL5. You will learn how to set up input parameters, enumerations, indicators, global variables, and implement the core trading logic. You will also be able to run a backtest on gold to validate your work.
Graphics in DoEasy library (Part 83): Class of the abstract standard graphical object
Graphics in DoEasy library (Part 83): Class of the abstract standard graphical object

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.
Graphics in DoEasy library (Part 86): Graphical object collection - managing property modification
Graphics in DoEasy library (Part 86): Graphical object collection - managing property modification

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.
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How to integrate Smart Money Concepts (OB) coupled with Fibonacci indicator for Optimal Trade Entry

How to integrate Smart Money Concepts (OB) coupled with Fibonacci indicator for Optimal Trade Entry

The SMC (Order Block) are key areas where institutional traders initiate significant buying or selling. After a significant price move, fibonacci helps to identify potential retracement from a recent swing high to a swing low to identify optimal trade entry.
Graphical Interfaces V: The List View Element (Chapter 2)
Graphical Interfaces V: The List View Element (Chapter 2)

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.
Movement continuation model - searching on the chart and execution statistics
Movement continuation model - searching on the chart and execution statistics

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.
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Automating Trading Strategies in MQL5 (Part 4): Building a Multi-Level Zone Recovery System

Automating Trading Strategies in MQL5 (Part 4): Building a Multi-Level Zone Recovery System

In this article, we develop a Multi-Level Zone Recovery System in MQL5 that utilizes RSI to generate trading signals. Each signal instance is dynamically added to an array structure, allowing the system to manage multiple signals simultaneously within the Zone Recovery logic. Through this approach, we demonstrate how to handle complex trade management scenarios effectively while maintaining a scalable and robust code design.