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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Library for easy and quick development of MetaTrader programs (part X): Compatibility with MQL4 - Events of opening a position and activating pending orders
Library for easy and quick development of MetaTrader programs (part X): Compatibility with MQL4 - Events of opening a position and activating pending orders

Library for easy and quick development of MetaTrader programs (part X): Compatibility with MQL4 - Events of opening a position and activating pending orders

In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the ninth part, we started improving the library classes for working with MQL4. Here we will continue improving the library to ensure its full compatibility with MQL4.
Testing patterns that arise when trading currency pair baskets. Part II
Testing patterns that arise when trading currency pair baskets. Part II

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

We continue testing the patterns and trying the methods described in the articles about trading currency pair baskets. Let's consider in practice, whether it is possible to use the patterns of the combined WPR graph crossing the moving average. If the answer is yes, we should consider the appropriate usage methods.
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Pair trading

Pair trading

In this article, we will consider pair trading, namely what its principles are and if there are any prospects for its practical application. We will also try to create a pair trading strategy.
A system of voice notifications for trade events and signals
A system of voice notifications for trade events and signals

A system of voice notifications for trade events and signals

Nowadays, voice assistants play a prominent role in human life, as we often use navigators, voice search and translators. In this article, I will try to develop a simple and user friendly system of voice notifications for various trade events, market states or signals generated by trading signals.
Creating Non-Lagging Digital Filters
Creating Non-Lagging Digital Filters

Creating Non-Lagging Digital Filters

The article describes one of the approaches to determining a useful signal (trend) in stream data. Small filtering (smoothing) tests applied to market quotes demonstrate the potential for creating non-lagging digital filters (indicators) that are not redrawn on the last bars.
Library for easy and quick development of MetaTrader programs (part VIII): Order and position modification events
Library for easy and quick development of MetaTrader programs (part VIII): Order and position modification events

Library for easy and quick development of MetaTrader programs (part VIII): Order and position modification events

In the previous articles, we started creating a large cross-platform library simplifying the development of programs for MetaTrader 5 and MetaTrader 4 platforms. In the seventh part, we added tracking StopLimit orders activation and prepared the functionality for tracking other events involving orders and positions. In this article, we will develop the class for tracking order and position modification events.
Dr. Tradelove or How I Stopped Worrying and Created a Self-Training Expert Advisor
Dr. Tradelove or How I Stopped Worrying and Created a Self-Training Expert Advisor

Dr. Tradelove or How I Stopped Worrying and Created a Self-Training Expert Advisor

Just over a year ago joo, in his article "Genetic Algorithms - It's Easy!", gave us a tool for implementation of the genetic algorithm in MQL5. Now utilizing the tool we will create an Expert Advisor that will genetically optimize its own parameters upon certain boundary conditions...
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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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How to deal with lines using MQL5

How to deal with lines using MQL5

In this article, you will find your way to deal with the most important lines like trendlines, support, and resistance by MQL5.
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Data Science and Machine Learning (Part 03): Matrix Regressions

Data Science and Machine Learning (Part 03): Matrix Regressions

This time our models are being made by matrices, which allows flexibility while it allows us to make powerful models that can handle not only five independent variables but also many variables as long as we stay within the calculations limits of a computer, this article is going to be an interesting read, that's for sure.
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Learn how to design a trading system by Standard Deviation

Learn how to design a trading system by Standard Deviation

Here is a new article in our series about how to design a trading system by the most popular technical indicators in MetaTrader 5 trading platform. In this new article, we will learn how to design a trading system by Standard Deviation indicator.
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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.
Separate optimization of a strategy on trend and flat conditions
Separate optimization of a strategy on trend and flat conditions

Separate optimization of a strategy on trend and flat conditions

The article considers applying the separate optimization method during various market conditions. Separate optimization means defining trading system's optimal parameters by optimizing for an uptrend and downtrend separately. To reduce the effect of false signals and improve profitability, the systems are made flexible, meaning they have some specific set of settings or input data, which is justified because the market behavior is constantly changing.
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Neural networks made easy (Part 3): Convolutional networks

Neural networks made easy (Part 3): Convolutional networks

As a continuation of the neural network topic, I propose considering convolutional neural networks. This type of neural network are usually applied to analyzing visual imagery. In this article, we will consider the application of these networks in the financial markets.
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Learn how to design a trading system by Williams PR

Learn how to design a trading system by Williams PR

A new article in our series about learning how to design a trading system by the most popular technical indicators by MQL5 to be used in the MetaTrader 5. In this article, we will learn how to design a trading system by the Williams' %R indicator.
Using cloud storage services for data exchange between terminals
Using cloud storage services for data exchange between terminals

Using cloud storage services for data exchange between terminals

Cloud technologies are becoming more popular. Nowadays, we can choose between paid and free storage services. Is it possible to use them in trading? This article proposes a technology for exchanging data between terminals using cloud storage services.
Here Comes the New MetaTrader 5 and MQL5
Here Comes the New MetaTrader 5 and MQL5

Here Comes the New MetaTrader 5 and MQL5

This is just a brief review of MetaTrader 5. I can't describe all the system's new features for such a short time period - the testing started on 2009.09.09. This is a symbolical date, and I am sure it will be a lucky number. A few days have passed since I got the beta version of the MetaTrader 5 terminal and MQL5. I haven't managed to try all its features, but I am already impressed.
MVC design pattern and its possible application
MVC design pattern and its possible application

MVC design pattern and its possible application

The article discusses a popular MVC pattern, as well as the possibilities, pros and cons of its usage in MQL programs. The idea is to split an existing code into three separate components: Model, View and Controller.
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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.
Graphical Interfaces IV: Informational Interface Elements (Chapter 1)
Graphical Interfaces IV: Informational Interface Elements (Chapter 1)

Graphical Interfaces IV: Informational Interface Elements (Chapter 1)

At the current stage of development, the library for creating graphical interfaces contains a form and several controls that can be attached to it. It was mentioned before that one of the future articles would be dedicated to the multi-window mode. Now, we have everything ready for that and we will deal with it in the following chapter. In this chapter, we will write classes for creating the status bar and tooltip informational interface elements.
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Automating Trading Strategies in MQL5 (Part 16): Midnight Range Breakout with Break of Structure (BoS) Price Action

Automating Trading Strategies in MQL5 (Part 16): Midnight Range Breakout with Break of Structure (BoS) Price Action

In this article, we automate the Midnight Range Breakout with Break of Structure strategy in MQL5, detailing code for breakout detection and trade execution. We define precise risk parameters for entries, stops, and profits. Backtesting and optimization are included for practical trading.
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Automating Trading Strategies in MQL5 (Part 10): Developing the Trend Flat Momentum Strategy

Automating Trading Strategies in MQL5 (Part 10): Developing the Trend Flat Momentum Strategy

In this article, we develop an Expert Advisor in MQL5 for the Trend Flat Momentum Strategy. We combine a two moving averages crossover with RSI and CCI momentum filters to generate trade signals. We also cover backtesting and potential enhancements for real-world performance.
Event handling in MQL5: Changing MA period on-the-fly
Event handling in MQL5: Changing MA period on-the-fly

Event handling in MQL5: Changing MA period on-the-fly

Suppose that simple MA (Moving Average) indicator with period 13 is applied to a chart. And we want to change the period to 20, but we do not want to go to indicator properties dialog box and edit the number 13 to 20: simply tired of these tedious actions with mouse and keyboard. And especially we don't want to open indicator code and modify it. We want to do all this with a single press of a button - "up arrows" next to the numeric keypad. In this article I'll describe how to do it.
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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.
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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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Continuous Walk-Forward Optimization (Part 6): Auto optimizer's logical part and structure

Continuous Walk-Forward Optimization (Part 6): Auto optimizer's logical part and structure

We have previously considered the creation of automatic walk-forward optimization. This time, we will proceed to the internal structure of the auto optimizer tool. The article will be useful for all those who wish to further work with the created project and to modify it, as well as for those who wish to understand the program logic. The current article contains UML diagrams which present the internal structure of the project and the relationships between objects. It also describes the process of optimization start, but it does not contain the description of the optimizer implementation process.
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Automating Trading Strategies in MQL5 (Part 3): The Zone Recovery RSI System for Dynamic Trade Management

Automating Trading Strategies in MQL5 (Part 3): The Zone Recovery RSI System for Dynamic Trade Management

In this article, we create a Zone Recovery RSI EA System in MQL5, using RSI signals to trigger trades and a recovery strategy to manage losses. We implement a "ZoneRecovery" class to automate trade entries, recovery logic, and position management. The article concludes with backtesting insights to optimize performance and enhance the EA’s effectiveness.
Graphical Interfaces II: the Separation Line and Context Menu Elements (Chapter 2)
Graphical Interfaces II: the Separation Line and Context Menu Elements (Chapter 2)

Graphical Interfaces II: the Separation Line and Context Menu Elements (Chapter 2)

In this article we will create the separation line element. It will be possible to use it not only as an independent interface element but also as a part of many other elements. After that, we will have everything required for the development of the context menu class, which will be also considered in this article in detail. Added to that, we will introduce all necessary additions to the class, which is the base for storing pointers to all the elements of the graphical interface of the application.
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DoEasy. Controls (Part 25): Tooltip WinForms object

DoEasy. Controls (Part 25): Tooltip WinForms object

In this article, I will start developing the Tooltip control, as well as new graphical primitives for the library. Naturally, not every element has a tooltip, but every graphical object has the ability to set it.
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Brute force approach to pattern search

Brute force approach to pattern search

In this article, we will search for market patterns, create Expert Advisors based on the identified patterns, and check how long these patterns remain valid, if they ever retain their validity.
Graphical Interfaces VIII: The Calendar Control (Chapter 1)
Graphical Interfaces VIII: The Calendar Control (Chapter 1)

Graphical Interfaces VIII: The Calendar Control (Chapter 1)

In the part VIII of the series of articles dedicated to creating graphical interfaces in MetaTrader, we will consider complex composite controls like calendars, tree view, and file navigator. Due to the large amount of information, there are separate articles written for every subject. The first chapter of this part describes the calendar control and its expanded version — a drop down calendar.
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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.
Connecting NeuroSolutions Neuronets
Connecting NeuroSolutions Neuronets

Connecting NeuroSolutions Neuronets

In addition to creation of neuronets, the NeuroSolutions software suite allows exporting them as DLLs. This article describes the process of creating a neuronet, generating a DLL and connecting it to an Expert Advisor for trading in MetaTrader 5.
MQL5 Wizard: How to Create a Module of Trailing of Open Positions
MQL5 Wizard: How to Create a Module of Trailing of Open Positions

MQL5 Wizard: How to Create a Module of Trailing of Open Positions

The generator of trade strategies MQL5 Wizard greatly simplifies the testing of trading ideas. The article discusses how to write and connect to the generator of trade strategies MQL5 Wizard your own class of managing open positions by moving the Stop Loss level to a lossless zone when the price goes in the position direction, allowing to protect your profit decrease drawdowns when trading. It also tells about the structure and format of the description of the created class for the MQL5 Wizard.
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How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 2): Indicator Signals: Multi Timeframe Parabolic SAR Indicator

How to create a simple Multi-Currency Expert Advisor using MQL5 (Part 2): Indicator Signals: Multi Timeframe Parabolic SAR Indicator

The Multi-Currency Expert Advisor in this article is Expert Advisor or trading robot that can trade (open orders, close orders and manage orders for example: Trailing Stop Loss and Trailing Profit) for more than 1 symbol pair only from one symbol chart. This time we will use only 1 indicator, namely Parabolic SAR or iSAR in multi-timeframes starting from PERIOD_M15 to PERIOD_D1.
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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.
Swaps (Part I): Locking and Synthetic Positions
Swaps (Part I): Locking and Synthetic Positions

Swaps (Part I): Locking and Synthetic Positions

In this article I will try to expand the classic concept of swap trading methods. I will explain why I have come to the conclusion that this concept deserves special attention and is absolutely recommended for study.
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Neural networks made easy (Part 9): Documenting the work

Neural networks made easy (Part 9): Documenting the work

We have already passed a long way and the code in our library is becoming bigger and bigger. This makes it difficult to keep track of all connections and dependencies. Therefore, I suggest creating documentation for the earlier created code and to keep it updating with each new step. Properly prepared documentation will help us see the integrity of our work.
Combinatorics and probability theory for trading (Part II): Universal fractal
Combinatorics and probability theory for trading (Part II): Universal fractal

Combinatorics and probability theory for trading (Part II): Universal fractal

In this article, we will continue to study fractals and will pay special attention to summarizing all the material. To do this, I will try to bring all earlier developments into a compact form which would be convenient and understandable for practical application in trading.
Econometric Approach to Analysis of Charts
Econometric Approach to Analysis of Charts

Econometric Approach to Analysis of Charts

This article describes the econometric methods of analysis, the autocorrelation analysis and the analysis of conditional variance in particular. What is the benefit of the approach described here? Use of the non-linear GARCH models allows representing the analyzed series formally from the mathematical point of view and creating a forecast for a specified number of steps.