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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Other classes in DoEasy library (Part 66): MQL5.com Signals collection class
Other classes in DoEasy library (Part 66): MQL5.com Signals collection class

Other classes in DoEasy library (Part 66): MQL5.com Signals collection class

In this article, I will create the signal collection class of the MQL5.com Signals service with the functions for managing signals. Besides, I will improve the Depth of Market snapshot object class for displaying the total DOM buy and sell volumes.
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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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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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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.
MQL5 Cookbook: Using Different Print Modes
MQL5 Cookbook: Using Different Print Modes

MQL5 Cookbook: Using Different Print Modes

This is the first article of the MQL5 Cookbook series. I will start with simple examples to allow those who are taking their first steps in programming to gradually become familiar with the new language. I remember my first efforts at designing and programming trading systems which I may say was quite difficult, given the fact that it was the first programming language in my life. However, it turned out to be easier than I thought and it only took me a few months before I could develop a fairly complex program.
Technical Indicators and Digital Filters
Technical Indicators and Digital Filters

Technical Indicators and Digital Filters

In this article, technical indicators are treated as digital filters. Operation principles and basic characteristics of digital filters are explained. Also, some practical ways of receiving the filter kernel in MetaTrader 5 terminal and integration with a ready-made spectrum analyzer proposed in the article "Building a Spectrum Analyzer" are considered. Pulse and spectrum characteristics of the typical digital filters are used as examples.
Controlling the Slope of Balance Curve During Work of an Expert Advisor
Controlling the Slope of Balance Curve During Work of an Expert Advisor

Controlling the Slope of Balance Curve During Work of an Expert Advisor

Finding rules for a trade system and programming them in an Expert Advisor is a half of the job. Somehow, you need to correct the operation of the Expert Advisor as it accumulates the results of trading. This article describes one of approaches, which allows improving performance of an Expert Advisor through creation of a feedback that measures slope of the balance curve.
How to visualize multicurrency trading history based on HTML and CSV reports
How to visualize multicurrency trading history based on HTML and CSV reports

How to visualize multicurrency trading history based on HTML and CSV reports

Since its introduction, MetaTrader 5 provides multicurrency testing options. This possibility is often used by traders. However the function is not universal. The article presents several programs for drawing graphical objects on charts based on HTML and CSV trading history reports. Multicurrency trading can be analyzed in parallel, in several sub-windows, as well as in one window using the dynamic switching command.
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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.
Graphics in DoEasy library (Part 73): Form object of a graphical element
Graphics in DoEasy library (Part 73): Form object of a graphical element

Graphics in DoEasy library (Part 73): Form object of a graphical element

The article opens up a new large section of the library for working with graphics. In the current article, I will create the mouse status object, the base object of all graphical elements and the class of the form object of the library graphical elements.
Library for easy and quick development of MetaTrader programs (part III). Collection of market orders and positions, search and sorting
Library for easy and quick development of MetaTrader programs (part III). Collection of market orders and positions, search and sorting

Library for easy and quick development of MetaTrader programs (part III). Collection of market orders and positions, search and sorting

In the first part, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. Further on, we implemented the collection of history orders and deals. Our next step is creating a class for a convenient selection and sorting of orders, deals and positions in collection lists. We are going to implement the base library object called Engine and add collection of market orders and positions to the library.
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Learn how to design a trading system by Accelerator Oscillator

Learn how to design a trading system by Accelerator Oscillator

A new article from our series about how to create simple trading systems by the most popular technical indicators. We will learn about a new one which is the Accelerator Oscillator indicator and we will learn how to design a trading system using it.
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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.
MQL5 Cookbook: Indicator Subwindow Controls - Scrollbar
MQL5 Cookbook: Indicator Subwindow Controls - Scrollbar

MQL5 Cookbook: Indicator Subwindow Controls - Scrollbar

Let's continue exploring various controls and this time turn our attention to scrollbar. Just like in the previous article entitled "MQL5 Cookbook: Indicator Subwindow Controls - Buttons", all operations will be performed in the indicator subwindow. Take a moment to read the above mentioned article as it provides a detailed description of working with events in the OnChartEvent() function, while this point will only be casually touched upon in this article. For illustrative purposes, this time around we will create a vertical scrollbar for a large list of all financial instrument properties that can be obtained using MQL5 resources.
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.
Library for easy and quick development of MetaTrader programs (part XI). Compatibility with MQL4 - Position closure events
Library for easy and quick development of MetaTrader programs (part XI). Compatibility with MQL4 - Position closure events

Library for easy and quick development of MetaTrader programs (part XI). Compatibility with MQL4 - Position closure events

We continue the development of a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the tenth part, we resumed our work on the library compatibility with MQL4 and defined the events of opening positions and activating pending orders. In this article, we will define the events of closing positions and get rid of the unused order properties.
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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.
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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.
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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.
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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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Brute force approach to pattern search (Part III): New horizons

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.
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.
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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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 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.
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.
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.
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.
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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.
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.
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.
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.
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.
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.
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Building and testing Keltner Channel trading systems

Building and testing Keltner Channel trading systems

In this article, we will try to provide trading systems using a very important concept in the financial market which is volatility. We will provide a trading system based on the Keltner Channel indicator after understanding it and how we can code it and how we can create a trading system based on a simple trading strategy and then test it on different assets.
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.
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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.
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Analytical Volume Profile Trading (AVPT): Liquidity Architecture, Market Memory, and Algorithmic Execution

Analytical Volume Profile Trading (AVPT): Liquidity Architecture, Market Memory, and Algorithmic Execution

Analytical Volume Profile Trading (AVPT) explores how liquidity architecture and market memory shape price behavior, enabling more profound insight into institutional positioning and volume-driven structure. By mapping POC, HVNs, LVNs, and Value Areas, traders can identify acceptance, rejection, and imbalance zones with precision.
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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.
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.