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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Statistical Probability Distributions in MQL5
Statistical Probability Distributions in MQL5

Statistical Probability Distributions in MQL5

The article addresses probability distributions (normal, log-normal, binomial, logistic, exponential, Cauchy distribution, Student's t-distribution, Laplace distribution, Poisson distribution, Hyperbolic Secant distribution, Beta and Gamma distribution) of random variables used in Applied Statistics. It also features classes for handling these distributions.
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Take a few lessons from Prop Firms (Part 1) — An introduction

Take a few lessons from Prop Firms (Part 1) — An introduction

In this introductory article, I address a few of the lessons one can take from the challenge rules that proprietary trading firms implement. This is especially relevant for beginners and those who struggle to find their footing in this world of trading. The subsequent article will address the code implementation.
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2
MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2

MQL as a Markup Tool for the Graphical Interface of MQL Programs. Part 2

This paper continues checking the new conception to describe the window interface of MQL programs, using the structures of MQL. Automatically creating GUI based on the MQL markup provides additional functionality for caching and dynamically generating the elements and controlling the styles and new schemes for processing the events. Attached is an enhanced version of the standard library of controls.
How to Secure Your Expert Advisor While Trading on the Moscow Exchange
How to Secure Your Expert Advisor While Trading on the Moscow Exchange

How to Secure Your Expert Advisor While Trading on the Moscow Exchange

The article delves into the trading methods ensuring the security of trading operations at the stock and low-liquidity markets through the example of Moscow Exchange's Derivatives Market. It brings practical approach to the trading theory described in the article "Principles of Exchange Pricing through the Example of Moscow Exchange's Derivatives Market".
Selection and navigation utility in MQL5 and MQL4: Adding auto search for patterns and displaying detected symbols
Selection and navigation utility in MQL5 and MQL4: Adding auto search for patterns and displaying detected symbols

Selection and navigation utility in MQL5 and MQL4: Adding auto search for patterns and displaying detected symbols

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.
Interview with Irina Korobeinikova (irishka.rf)
Interview with Irina Korobeinikova (irishka.rf)

Interview with Irina Korobeinikova (irishka.rf)

Having a female member on the MQL5.community is rare. This interview was inspired by a one of a kind case. Irina Korobeinikova (irishka.rf) is a fifteen-year-old programmer from Izhevsk. She is currently the only girl who actively participates in the "Jobs" service and is featured on the Top Developers list.
Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit
Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit

Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit

This article describes the usage of the TesterWithDrawal() function for estimating risks in trade systems which imply the withdrawing of a certain part of assets during their operation. In addition, it describes the effect of this function on the algorithm of calculation of the drawdown of equity in the strategy tester. This function is useful when optimizing parameter of your Expert Advisors.
Graphical interfaces X: Advanced management of lists and tables. Code optimization (build 7)
Graphical interfaces X: Advanced management of lists and tables. Code optimization (build 7)

Graphical interfaces X: Advanced management of lists and tables. Code optimization (build 7)

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.
Naive Bayes classifier for signals of a set of indicators
Naive Bayes classifier for signals of a set of indicators

Naive Bayes classifier for signals of a set of indicators

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.
Testing patterns that arise when trading currency pair baskets. Part I
Testing patterns that arise when trading currency pair baskets. Part I

Testing patterns that arise when trading currency pair baskets. Part I

We begin testing the patterns and trying the methods described in the articles about trading currency pair baskets. Let's see how oversold/overbought level breakthrough patterns are applied in practice.
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Engineering Trading Discipline into Code (Part 1): Creating Structural Discipline in Live Trading with MQL5

Engineering Trading Discipline into Code (Part 1): Creating Structural Discipline in Live Trading with MQL5

Discipline becomes reliable when it is produced by system design, not willpower. Using MQL5, the article implements real-time constraints—trade-frequency caps and daily equity-based stops—that monitor behavior and trigger actions on breach. Readers gain a practical template for governance layers that stabilize execution under market pressure.
LifeHack for trader: four backtests are better than one
LifeHack for trader: four backtests are better than one

LifeHack for trader: four backtests are better than one

Before the first single test, every trader faces the same question — "Which of the four modes to use?" Each of the provided modes has its advantages and features, so we will do it the easy way - run all four modes at once with a single button! The article shows how to use the Win API and a little magic to see all four testing chart at the same time.
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Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (MASA)

Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (MASA)

I invite you to get acquainted with the Multi-Agent Self-Adaptive (MASA) framework, which combines reinforcement learning and adaptive strategies, providing a harmonious balance between profitability and risk management in turbulent market conditions.
Drawing Channels - Inside and Outside View
Drawing Channels - Inside and Outside View

Drawing Channels - Inside and Outside View

I guess it won't be an exaggeration, if I say the channels are the most popular tool for the analysis of market and making trade decisions after the moving averages. Without diving deeply into the mass of trade strategies that use channels and their components, we are going to discuss the mathematical basis and the practical implementation of an indicator, which draws a channel determined by three extremums on the screen of the client terminal.
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Learn how to design a trading system by Awesome Oscillator

Learn how to design a trading system by Awesome Oscillator

In this new article in our series, we will learn about a new technical tool that may be useful in our trading. It is the Awesome Oscillator (AO) indicator. We will learn how to design a trading system by this indicator.
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Installing MetaTrader 5 and Other MetaQuotes Apps on HarmonyOS NEXT

Installing MetaTrader 5 and Other MetaQuotes Apps on HarmonyOS NEXT

Easily install MetaTrader 5 and other MetaQuotes apps on HarmonyOS NEXT devices using DroiTong. A detailed step-by-step guide for your phone or laptop.
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Automating Trading Strategies in MQL5 (Part 8): Building an Expert Advisor with Butterfly Harmonic Patterns

Automating Trading Strategies in MQL5 (Part 8): Building an Expert Advisor with Butterfly Harmonic Patterns

In this article, we build an MQL5 Expert Advisor to detect Butterfly harmonic patterns. We identify pivot points and validate Fibonacci levels to confirm the pattern. We then visualize the pattern on the chart and automatically execute trades when confirmed.
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Gradient Boosting (CatBoost) in the development of trading systems. A naive approach

Gradient Boosting (CatBoost) in the development of trading systems. A naive approach

Training the CatBoost classifier in Python and exporting the model to mql5, as well as parsing the model parameters and a custom strategy tester. The Python language and the MetaTrader 5 library are used for preparing the data and for training the model.
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Price Action Analysis Toolkit Development (Part 27): Liquidity Sweep With MA Filter Tool

Price Action Analysis Toolkit Development (Part 27): Liquidity Sweep With MA Filter Tool

Understanding the subtle dynamics behind price movements can give you a critical edge. One such phenomenon is the liquidity sweep, a deliberate strategy that large traders, especially institutions, use to push prices through key support or resistance levels. These levels often coincide with clusters of retail stop-loss orders, creating pockets of liquidity that big players can exploit to enter or exit sizeable positions with minimal slippage.
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How to Create an Interactive MQL5 Dashboard/Panel Using the Controls Class (Part 1): Setting Up the Panel

How to Create an Interactive MQL5 Dashboard/Panel Using the Controls Class (Part 1): Setting Up the Panel

In this article, we create an interactive trading dashboard using the Controls class in MQL5, designed to streamline trading operations. The panel features a title, navigation buttons for Trade, Close, and Information, and specialized action buttons for executing trades and managing positions. By the end of the article, you will have a foundational panel ready for further enhancements in future installments.
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Data Science and Machine Learning — Neural Network (Part 02): Feed forward NN Architectures Design

Data Science and Machine Learning — Neural Network (Part 02): Feed forward NN Architectures Design

There are minor things to cover on the feed-forward neural network before we are through, the design being one of them. Let's see how we can build and design a flexible neural network to our inputs, the number of hidden layers, and the nodes for each of the network.
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Simple Mean Reversion Trading Strategy

Simple Mean Reversion Trading Strategy

Mean reversion is a type of contrarian trading where the trader expects the price to return to some form of equilibrium which is generally measured by a mean or another central tendency statistic.
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Price Action Analysis Toolkit Development (Part 44): Building a VWMA Crossover Signal EA in MQL5

Price Action Analysis Toolkit Development (Part 44): Building a VWMA Crossover Signal EA in MQL5

This article introduces a VWMA crossover signal tool for MetaTrader 5, designed to help traders identify potential bullish and bearish reversals by combining price action with trading volume. The EA generates clear buy and sell signals directly on the chart, features an informative panel, and allows for full user customization, making it a practical addition to your trading strategy.
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Mastering Fair Value Gaps: Formation, Logic, and Automated Trading with Breakers and Market Structure Shifts

Mastering Fair Value Gaps: Formation, Logic, and Automated Trading with Breakers and Market Structure Shifts

This is an article that I have written aimed to expound and explain Fair Value Gaps, their formation logic for occurring, and automated trading with breakers and market structure shifts.
The Player of Trading Based on Deal History
The Player of Trading Based on Deal History

The Player of Trading Based on Deal History

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.
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Neural networks made easy (Part 12): Dropout

Neural networks made easy (Part 12): Dropout

As the next step in studying neural networks, I suggest considering the methods of increasing convergence during neural network training. There are several such methods. In this article we will consider one of them entitled Dropout.
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The Liquidity Grab Trading Strategy

The Liquidity Grab Trading Strategy

The liquidity grab trading strategy is a key component of Smart Money Concepts (SMC), which seeks to identify and exploit the actions of institutional players in the market. It involves targeting areas of high liquidity, such as support or resistance zones, where large orders can trigger price movements before the market resumes its trend. This article explains the concept of liquidity grab in detail and outlines the development process of the liquidity grab trading strategy Expert Advisor in MQL5.
Graphical Interfaces VII: The Tabs Control (Chapter 2)
Graphical Interfaces VII: The Tabs Control (Chapter 2)

Graphical Interfaces VII: The Tabs Control (Chapter 2)

The first chapter of seventh part introduced three classes of controls for creating tables: text label table (CLabelsTable), edit box table (CTable) and rendered table (CCanvasTable). In this article (chapter two) we are going to consider the Tabs control.
Universal Regression Model for Market Price Prediction
Universal Regression Model for Market Price Prediction

Universal Regression Model for Market Price Prediction

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.
Library for easy and quick development of MetaTrader programs (part XVI): Symbol collection events
Library for easy and quick development of MetaTrader programs (part XVI): Symbol collection events

Library for easy and quick development of MetaTrader programs (part XVI): Symbol collection events

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.
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Building AI-Powered Trading Systems in MQL5 (Part 7): Further Modularization and Automated Trading

Building AI-Powered Trading Systems in MQL5 (Part 7): Further Modularization and Automated Trading

In this article, we enhance the AI-powered trading system's modularity by separating UI components into a dedicated include file. The system now automates trade execution based on AI-generated signals, parsing JSON responses for BUY/SELL/NONE with entry/SL/TP, visualizing patterns like engulfing or divergences on charts with arrows, lines, and labels, and optional auto-signal checks on new bars.
MQL5 Cookbook: ОСО Orders
MQL5 Cookbook: ОСО Orders

MQL5 Cookbook: ОСО Orders

Any trader's trading activity involves various mechanisms and interrelationships including relations among orders. This article suggests a solution of OCO orders processing. Standard library classes are extensively involved, as well as new data types are created herein.
Social Trading. Can a profitable signal be made even better?
Social Trading. Can a profitable signal be made even better?

Social Trading. Can a profitable signal be made even better?

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.
Graphics in DoEasy library (Part 76): Form object and predefined color themes
Graphics in DoEasy library (Part 76): Form object and predefined color themes

Graphics in DoEasy library (Part 76): Form object and predefined color themes

In this article, I will describe the concept of building various library GUI design themes, create the Form object, which is a descendant of the graphical element class object, and prepare data for creating shadows of the library graphical objects, as well as for further development of the functionality.
Creating an Indicator with Graphical Control Options
Creating an Indicator with Graphical Control Options

Creating an Indicator with Graphical Control Options

Those who are familiar with market sentiments, know the MACD indicator (its full name is Moving Average Convergence/Divergence) - the powerful tool for analyzing the price movement, used by traders from the very first moments of appearance of the computer analysis methods. In this article we'll consider possible modifications of MACD and implement them in one indicator with the possibility to graphically switch between the modifications.
Library for easy and quick development of MetaTrader programs (part XII): Account object class and collection of account objects
Library for easy and quick development of MetaTrader programs (part XII): Account object class and collection of account objects

Library for easy and quick development of MetaTrader programs (part XII): Account object class and collection of account objects

In the previous article, we defined position closure events for MQL4 in the library and got rid of the unused order properties. Here we will consider the creation of the Account object, develop the collection of account objects and prepare the functionality for tracking account events.
Statistical Carry Trade Strategy
Statistical Carry Trade Strategy

Statistical Carry Trade Strategy

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.
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Developing a trading Expert Advisor from scratch (Part 7): Adding Volume at Price (I)

Developing a trading Expert Advisor from scratch (Part 7): Adding Volume at Price (I)

This is one of the most powerful indicators currently existing. Anyone who trades trying to have a certain degree of confidence must have this indicator on their chart. Most often the indicator is used by those who prefer “tape reading” while trading. Also, this indicator can be utilized by those who use only Price Action while trading.
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Building a Professional Trading System with Heikin Ashi (Part 1): Developing a custom indicator

Building a Professional Trading System with Heikin Ashi (Part 1): Developing a custom indicator

This article is the first installment in a two-part series designed to impart practical skills and best practices for writing custom indicators in MQL5. Using Heikin Ashi as a working example, the article explores the theory behind Heikin Ashi charts, explains how Heikin Ashi candlesticks are calculated, and demonstrates their application in technical analysis. The centerpiece is a step-by-step guide to developing a fully functional Heikin Ashi indicator from scratch, with clear explanations to help readers understand what to code and why. This foundational knowledge sets the stage for Part Two, where we will build an expert advisor that trades based on Heikin Ashi logic.
Visualizing trading strategy optimization in MetaTrader 5
Visualizing trading strategy optimization in MetaTrader 5

Visualizing trading strategy optimization in MetaTrader 5

The article implements an MQL application with a graphical interface for extended visualization of the optimization process. The graphical interface applies the last version of EasyAndFast library. Many users may ask why they need graphical interfaces in MQL applications. This article demonstrates one of multiple cases where they can be useful for traders.