MQL4 and MQL5 Programming Articles

icon

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.

Follow our new publications and discuss them on the Forum!

Add a new article
latest | best
Trading Strategy Based on Pivot Points Analysis
Trading Strategy Based on Pivot Points Analysis

Trading Strategy Based on Pivot Points Analysis

Pivot Points (PP) analysis is one of the simplest and most effective strategies for high intraday volatility markets. It was used as early as in the precomputer times, when traders working at stocks could not use any ADP equipment, except for counting frames and arithmometers.
preview
Can Heiken-Ashi Combined With Moving Averages Provide Good Signals Together?

Can Heiken-Ashi Combined With Moving Averages Provide Good Signals Together?

Combinations of strategies may offer better opportunities. We can combine indicators or patterns together, or even better, indicators with patterns, so that we get an extra confirmation factor. Moving averages help us confirm and ride the trend. They are the most known technical indicators and this is because of their simplicity and their proven track record of adding value to analyses.
preview
Creating a comprehensive Owl trading strategy

Creating a comprehensive Owl trading strategy

My strategy is based on the classic trading fundamentals and the refinement of indicators that are widely used in all types of markets. This is a ready-made tool allowing you to follow the proposed new profitable trading strategy.
preview
Creating an Interactive Graphical User Interface in MQL5 (Part 1): Making the Panel

Creating an Interactive Graphical User Interface in MQL5 (Part 1): Making the Panel

This article explores the fundamental steps in crafting and implementing a Graphical User Interface (GUI) panel using MetaQuotes Language 5 (MQL5). Custom utility panels enhance user interaction in trading by simplifying common tasks and visualizing essential trading information. By creating custom panels, traders can streamline their workflow and save time during trading operations.
Analyzing charts using DeMark Sequential and Murray-Gann levels
Analyzing charts using DeMark Sequential and Murray-Gann levels

Analyzing charts using DeMark Sequential and Murray-Gann levels

Thomas DeMark Sequential is good at showing balance changes in the price movement. This is especially evident if we combine its signals with a level indicator, for example, Murray levels. The article is intended mostly for beginners and those who still cannot find their "Grail". I will also display some features of building levels that I have not seen on other forums. So, the article will probably be useful for advanced traders as well... Suggestions and reasonable criticism are welcome...
preview
Modified Grid-Hedge EA in MQL5 (Part II): Making a Simple Grid EA

Modified Grid-Hedge EA in MQL5 (Part II): Making a Simple Grid EA

In this article, we explored the classic grid strategy, detailing its automation using an Expert Advisor in MQL5 and analyzing initial backtest results. We highlighted the strategy's need for high holding capacity and outlined plans for optimizing key parameters like distance, takeProfit, and lot sizes in future installments. The series aims to enhance trading strategy efficiency and adaptability to different market conditions.
MQL5 Cookbook: Developing a Multi-Symbol Volatility Indicator in MQL5
MQL5 Cookbook: Developing a Multi-Symbol Volatility Indicator in MQL5

MQL5 Cookbook: Developing a Multi-Symbol Volatility Indicator in MQL5

In this article, we will consider the development of a multi-symbol volatility indicator. The development of multi-symbol indicators may present some difficulties for novice MQL5 developers which this article helps to clarify. The major issues arising in the course of development of a multi-symbol indicator have to do with the synchronization of other symbols' data with respect to the current symbol, the lack of some indicator data and the identification of the beginning of 'true' bars of a given time frame. All of these issues will be closely considered in the article.
Fundamentals of Statistics
Fundamentals of Statistics

Fundamentals of Statistics

Every trader works using certain statistical calculations, even if being a supporter of fundamental analysis. This article walks you through the fundamentals of statistics, its basic elements and shows the importance of statistics in decision making.
Graphics in DoEasy library (Part 74): Basic graphical element powered by the CCanvas class
Graphics in DoEasy library (Part 74): Basic graphical element powered by the CCanvas class

Graphics in DoEasy library (Part 74): Basic graphical element powered by the CCanvas class

In this article, I will rework the concept of building graphical objects from the previous article and prepare the base class of all graphical objects of the library powered by the Standard Library CCanvas class.
MQL5 Cookbook: The History of Deals And Function Library for Getting Position Properties
MQL5 Cookbook: The History of Deals And Function Library for Getting Position Properties

MQL5 Cookbook: The History of Deals And Function Library for Getting Position Properties

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.
preview
Multilayer perceptron and backpropagation algorithm (Part II): Implementation in Python and integration with MQL5

Multilayer perceptron and backpropagation algorithm (Part II): Implementation in Python and integration with MQL5

There is a Python package available for developing integrations with MQL, which enables a plethora of opportunities such as data exploration, creation and use of machine learning models. The built in Python integration in MQL5 enables the creation of various solutions, from simple linear regression to deep learning models. Let's take a look at how to set up and prepare a development environment and how to use use some of the machine learning libraries.
What is a trend and is the market structure based on trend or flat?
What is a trend and is the market structure based on trend or flat?

What is a trend and is the market structure based on trend or flat?

Traders often talk about trends and flats but very few of them really understand what a trend/flat really is and even fewer are able to clearly explain these concepts. Discussing these basic terms is often beset by a solid set of prejudices and misconceptions. However, if we want to make profit, we need to understand the mathematical and logical meaning of these concepts. In this article, I will take a closer look at the essence of trend and flat, as well as try to define whether the market structure is based on trend, flat or something else. I will also consider the most optimal strategies for making profit on trend and flat markets.
Multicurrency monitoring of trading signals (Part 5): Composite signals
Multicurrency monitoring of trading signals (Part 5): Composite signals

Multicurrency monitoring of trading signals (Part 5): Composite signals

In the fifth article related to the creation of a trading signal monitor, we will consider composite signals and will implement the necessary functionality. In earlier versions, we used simple signals, such as RSI, WPR and CCI, and we also introduced the possibility to use custom indicators.
preview
Implementing a Bollinger Bands Trading Strategy with MQL5: A Step-by-Step Guide

Implementing a Bollinger Bands Trading Strategy with MQL5: A Step-by-Step Guide

A step-by-step guide to implementing an automated trading algorithm in MQL5 based on the Bollinger Bands trading strategy. A detailed tutorial based on creating an Expert Advisor that can be useful for traders.
Easy Stock Market Trading with MetaTrader
Easy Stock Market Trading with MetaTrader

Easy Stock Market Trading with MetaTrader

This article raises the issues of automated trading on the stock market. Examples of MetaTrader 4 and QUIK integration are provided for your information. In addition to that, you can familiarize yourself with MetaTrader advantages aimed at solving this issue, and see how a trading robot can perform operations on MICEX.
preview
Neural networks made easy (Part 10): Multi-Head Attention

Neural networks made easy (Part 10): Multi-Head Attention

We have previously considered the mechanism of self-attention in neural networks. In practice, modern neural network architectures use several parallel self-attention threads to find various dependencies between the elements of a sequence. Let us consider the implementation of such an approach and evaluate its impact on the overall network performance.
preview
Making charts more interesting: Adding a background

Making charts more interesting: Adding a background

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.
MetaTrader 4 and MetaTrader 5 Trading Signals Widgets
MetaTrader 4 and MetaTrader 5 Trading Signals Widgets

MetaTrader 4 and MetaTrader 5 Trading Signals Widgets

Recently MetaTrader 4 and MetaTrader 5 user received an opportunity to become a Signals Provider and earn additional profit. Now, you can display your trading success on your web site, blog or social network page using the new widgets. The benefits of using widgets are obvious: they increase the Signals Providers' popularity, establish their reputation as successful traders, as well as attract new Subscribers. All traders placing widgets on other web sites can enjoy these benefits.
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes

Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes

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.
MQL5-RPC. Remote Procedure Calls from MQL5: Web Service Access and XML-RPC ATC Analyzer for Fun and Profit
MQL5-RPC. Remote Procedure Calls from MQL5: Web Service Access and XML-RPC ATC Analyzer for Fun and Profit

MQL5-RPC. Remote Procedure Calls from MQL5: Web Service Access and XML-RPC ATC Analyzer for Fun and Profit

This article describes MQL5-RPC framework that enables Remote Procedure Calls from MQL5. It starts with XML-RPC basics, MQL5 implementation and follows with two real usage examples. First example is using external web service and the second one is a client to simple XML-RPC ATC 2011 Analyzer service. If you are interested on how to implement and analyze different statistics from ATC 2011 in real time, this article is just for you.
Probability theory and mathematical statistics with examples (part I): Fundamentals and elementary theory
Probability theory and mathematical statistics with examples (part I): Fundamentals and elementary theory

Probability theory and mathematical statistics with examples (part I): Fundamentals and elementary theory

Trading is always about making decisions in the face of uncertainty. This means that the results of the decisions are not quite obvious at the time these decisions are made. This entails the importance of theoretical approaches to the construction of mathematical models allowing us to describe such cases in meaningful manner.
preview
Using JSON Data API in your MQL projects

Using JSON Data API in your MQL projects

Imagine that you can use data that is not found in MetaTrader, you only get data from indicators by price analysis and technical analysis. Now imagine that you can access data that will take your trading power steps higher. You can multiply the power of the MetaTrader software if you mix the output of other software, macro analysis methods, and ultra-advanced tools through the ​​API data. In this article, we will teach you how to use APIs and introduce useful and valuable API data services.
preview
Learn how to design a trading system by Bear's Power

Learn how to design a trading system by Bear's Power

Welcome to a new article in our series about learning how to design a trading system by the most popular technical indicator here is a new article about learning how to design a trading system by Bear's Power technical indicator.
Prices and Signals in DoEasy library (Part 65): Depth of Market collection and the class for working with MQL5.com Signals
Prices and Signals in DoEasy library (Part 65): Depth of Market collection and the class for working with MQL5.com Signals

Prices and Signals in DoEasy library (Part 65): Depth of Market collection and the class for working with MQL5.com Signals

In this article, I will create the collection class of Depths of Market of all symbols and start developing the functionality for working with the MQL5.com Signals service by creating the signal object class.
preview
The Inverse Fair Value Gap Trading Strategy

The Inverse Fair Value Gap Trading Strategy

An inverse fair value gap(IFVG) occurs when price returns to a previously identified fair value gap and, instead of showing the expected supportive or resistive reaction, fails to respect it. This failure can signal a potential shift in market direction and offer a contrarian trading edge. In this article, I'm going to introduce my self-developed approach to quantifying and utilizing inverse fair value gap as a strategy for MetaTrader 5 expert advisors.
Universal Expert Advisor: the Event Model and Trading Strategy Prototype (Part 2)
Universal Expert Advisor: the Event Model and Trading Strategy Prototype (Part 2)

Universal Expert Advisor: the Event Model and Trading Strategy Prototype (Part 2)

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.
The Order of Object Creation and Destruction in MQL5
The Order of Object Creation and Destruction in MQL5

The Order of Object Creation and Destruction in MQL5

Every object, whether it is a custom object, a dynamic array or an array of objects, is created and deleted in MQL5-program in its particular way. Often, some objects are part of other objects, and the order of object deleting at deinitialization becomes especially important. This article provides some examples that cover the mechanisms of working with objects.
preview
Risk and capital management using Expert Advisors

Risk and capital management using Expert Advisors

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.
preview
Learn how to design a trading system by MFI

Learn how to design a trading system by MFI

The new article from our series about designing a trading system based on the most popular technical indicators considers a new technical indicator - the Money Flow Index (MFI). We will learn it in detail and develop a simple trading system by means of MQL5 to execute it in MetaTrader 5.
preview
Automating Trading Strategies in MQL5 (Part 24): London Session Breakout System with Risk Management and Trailing Stops

Automating Trading Strategies in MQL5 (Part 24): London Session Breakout System with Risk Management and Trailing Stops

In this article, we develop a London Session Breakout System that identifies pre-London range breakouts and places pending orders with customizable trade types and risk settings. We incorporate features like trailing stops, risk-to-reward ratios, maximum drawdown limits, and a control panel for real-time monitoring and management.
preview
Build Self Optmising Expert Advisors in MQL5

Build Self Optmising Expert Advisors in MQL5

Build expert advisors that look forward and adjust themselves to any market.
How Not to Fall into Optimization Traps?
How Not to Fall into Optimization Traps?

How Not to Fall into Optimization Traps?

The article describes the methods of how to understand the tester optimization results better. It also gives some tips that help to avoid "harmful optimization".
Liquid Chart
Liquid Chart

Liquid Chart

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.
preview
Finding seasonal patterns in the forex market using the CatBoost algorithm

Finding seasonal patterns in the forex market using the CatBoost algorithm

The article considers the creation of machine learning models with time filters and discusses the effectiveness of this approach. The human factor can be eliminated now by simply instructing the model to trade at a certain hour of a certain day of the week. Pattern search can be provided by a separate algorithm.
Library for easy and quick development of MetaTrader programs (part II). Collection of historical orders and deals
Library for easy and quick development of MetaTrader programs (part II). Collection of historical orders and deals

Library for easy and quick development of MetaTrader programs (part II). Collection of historical orders and deals

In the first part, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. We created the COrder abstract object which is a base object for storing data on history orders and deals, as well as on market orders and positions. Now we will develop all the necessary objects for storing account history data in collections.
preview
Multiple indicators on one chart (Part 01): Understanding the concepts

Multiple indicators on one chart (Part 01): Understanding the concepts

Today we will learn how to add multiple indicators running simultaneously on one chart, but without occupying a separate area on it. Many traders feel more confident if they monitor multiple indicators at a time (for example, RSI, STOCASTIC, MACD, ADX and some others), or in some cases even at different assets which an index is made of.
preview
Design Patterns in software development and MQL5 (Part 4): Behavioral Patterns 2

Design Patterns in software development and MQL5 (Part 4): Behavioral Patterns 2

In this article, we will complete our series about the Design Patterns topic, we mentioned that there are three types of design patterns creational, structural, and behavioral. We will complete the remaining patterns of the behavioral type which can help set the method of interaction between objects in a way that makes our code clean.
preview
Trade Events in MetaTrader 5

Trade Events in MetaTrader 5

A monitoring of the current state of a trade account implies controlling open positions and orders. Before a trade signal becomes a deal, it should be sent from the client terminal as a request to the trade server, where it will be placed in the order queue awaiting to be processed. Accepting of a request by the trade server, deleting it as it expires or conducting a deal on its basis - all those actions are followed by trade events; and the trade server informs the terminal about them.
preview
How to create a custom indicator (Heiken Ashi) using MQL5

How to create a custom indicator (Heiken Ashi) using MQL5

In this article, we will learn how to create a custom indicator using MQL5 based on our preferences, to be used in MetaTrader 5 to help us read charts or to be used in automated Expert Advisors.
preview
How to connect AI agents to MetaTrader 5 via MCP

How to connect AI agents to MetaTrader 5 via MCP

This article shows how to connect AI agents directly to MetaTrader 5 by building a complete MCP (Model Context Protocol) server in Python. It details the architecture, MetaTrader 5 client wrapper, market data and order handlers, and tool registration over stdio, with testing via MCP Inspector and connections to clients like Claude Desktop or OpenClaw. The result is a standardized bridge for natural-language queries, live data retrieval, and safe order execution in MetaTrader 5.