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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Developing a Trading Strategy: The Triple Sine Mean Reversion Method

Developing a Trading Strategy: The Triple Sine Mean Reversion Method

This article introduces the Triple Sine Mean Reversion Method, a trading strategy built upon a new mathematical indicator — the Triple Sine Oscillator (TSO). The TSO is derived from the sine cube function, which oscillates between –1 and +1, making it suitable for identifying overbought and oversold market conditions. Overall, the study demonstrates how mathematical functions can be transformed into practical trading tools.
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Multiple indicators on one chart (Part 06): Turning MetaTrader 5 into a RAD system (II)

Multiple indicators on one chart (Part 06): Turning MetaTrader 5 into a RAD system (II)

In my previous article, I showed you how to create a Chart Trade using MetaTrader 5 objects and thus to turn the platform into a RAD system. The system works very well, and for sure many of the readers might have thought about creating a library, which would allow having extended functionality in the proposed system. Based on this, it would be possible to develop a more intuitive Expert Advisor with a nicer and easier to use interface.
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MetaTrader 5 Machine Learning Blueprint (Part 3): Trend-Scanning Labeling Method

MetaTrader 5 Machine Learning Blueprint (Part 3): Trend-Scanning Labeling Method

We have built a robust feature engineering pipeline using proper tick-based bars to eliminate data leakage and solved the critical problem of labeling with meta-labeled triple-barrier signals. This installment covers the advanced labeling technique, trend-scanning, for adaptive horizons. After covering the theory, an example shows how trend-scanning labels can be used with meta-labeling to improve on the classic moving average crossover strategy.
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How We Built the Most Powerful Machine Learning-Powered Trading Platform: The Evolution of MQL and MetaTrader Through Archives, Forums, and Releases

How We Built the Most Powerful Machine Learning-Powered Trading Platform: The Evolution of MQL and MetaTrader Through Archives, Forums, and Releases

A technical history of MQL evolution: from the limited MQL and MQL II languages, through procedural MQL4, to object-oriented MQL5 with native compilation, rich APIs, and a full-fledged engineering environment. We show here the key capabilities of the language and its integrations with Python, OpenCL, ONNX, OpenBLAS, databases, DirectX, the agentic AI Assistant, and the Model Context Protocol (MCP), which connects AI systems with the terminal, MetaEditor, market data, trading operations, and development tools. This article examines archival materials on the origins of MetaQuotes and MetaTrader, the launch of MQL4.COM and MQL5.COM, the championships, Algo Forge, and their impact on the ecosystem.
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Automating Trading Strategies in MQL5 (Part 19): Envelopes Trend Bounce Scalping — Trade Execution and Risk Management (Part II)

Automating Trading Strategies in MQL5 (Part 19): Envelopes Trend Bounce Scalping — Trade Execution and Risk Management (Part II)

In this article, we implement trade execution and risk management for the Envelopes Trend Bounce Scalping Strategy in MQL5. We implement order placement and risk controls like stop-loss and position sizing. We conclude with backtesting and optimization, building on Part 18’s foundation.
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Develop a Proof-of-Concept DLL with C++ multi-threading support for MetaTrader 5 on Linux

Develop a Proof-of-Concept DLL with C++ multi-threading support for MetaTrader 5 on Linux

We will begin the journey to explore the steps and workflow on how to base development for MetaTrader 5 platform solely on Linux system in which the final product works seamlessly on both Windows and Linux system. We will get to know Wine, and Mingw; both are the essential tools to make cross-platform development works. Especially Mingw for its threading implementations (POSIX, and Win32) that we need to consider in choosing which one to go with. We then build a proof-of-concept DLL and consume it in MQL5 code, finally compare the performance of both threading implementations. All for your foundation to expand further on your own. You should be comfortable building MT related tools on Linux after reading this article.
Timeseries in DoEasy library (part 46): Multi-period multi-symbol indicator buffers
Timeseries in DoEasy library (part 46): Multi-period multi-symbol indicator buffers

Timeseries in DoEasy library (part 46): Multi-period multi-symbol indicator buffers

In this article, I am going to improve the classes of indicator buffer objects to work in the multi-symbol mode. This will pave the way for creating multi-symbol multi-period indicators in custom programs. I will add the missing functionality to the calculated buffer objects allowing us to create multi-symbol multi-period standard indicators.
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Automating Trading Strategies in MQL5 (Part 20): Multi-Symbol Strategy Using CCI and AO

Automating Trading Strategies in MQL5 (Part 20): Multi-Symbol Strategy Using CCI and AO

In this article, we create a multi-symbol trading strategy using CCI and AO indicators to detect trend reversals. We cover its design, MQL5 implementation, and backtesting process. The article concludes with tips for performance improvement.
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Learn how to design a trading system by Gator Oscillator

Learn how to design a trading system by Gator Oscillator

A new article in our series about learning how to design a trading system based on popular technical indicators will be about the Gator Oscillator technical indicator and how to create a trading system through simple strategies.
Library for easy and quick development of MetaTrader programs (part VI): Netting account events
Library for easy and quick development of MetaTrader programs (part VI): Netting account events

Library for easy and quick development of MetaTrader programs (part VI): Netting account 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 fifth part of the article series, we created trading event classes and the event collection, from which the events are sent to the base object of the Engine library and the control program chart. In this part, we will let the library to work on netting accounts.
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Brute force approach to pattern search (Part II): Immersion

Brute force approach to pattern search (Part II): Immersion

In this article we will continue discussing the brute force approach. I will try to provide a better explanation of the pattern using the new improved version of my application. I will also try to find the difference in stability using different time intervals and timeframes.
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Monte Carlo Permutation Tests in MetaTrader 5

Monte Carlo Permutation Tests in MetaTrader 5

In this article we take a look at how we can conduct permutation tests based on shuffled tick data on any expert advisor using only Metatrader 5.
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Developing a Replay System — Market simulation (Part 01): First experiments (I)

Developing a Replay System — Market simulation (Part 01): First experiments (I)

How about creating a system that would allow us to study the market when it is closed or even to simulate market situations? Here we are going to start a new series of articles in which we will deal with this topic.
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MQL5 Wizard techniques you should know (Part 05): Markov Chains

MQL5 Wizard techniques you should know (Part 05): Markov Chains

Markov chains are a powerful mathematical tool that can be used to model and forecast time series data in various fields, including finance. In financial time series modelling and forecasting, Markov chains are often used to model the evolution of financial assets over time, such as stock prices or exchange rates. One of the main advantages of Markov chain models is their simplicity and ease of use.
Tracing, Debugging and Structural Analysis of Source Code
Tracing, Debugging and Structural Analysis of Source Code

Tracing, Debugging and Structural Analysis of Source Code

The entire complex of problems of creating a structure of an executed code and its tracing can be solved without serious difficulties. This possibility has appeared in MetaTrader 5 due to the new feature of the MQL5 language - automatic creation of variables of complex type of data (structures and classes) and their elimination when going out of local scope. The article contains the description of the methodology and the ready-made tool.
Price series discretization, random component and noise
Price series discretization, random component and noise

Price series discretization, random component and noise

We usually analyze the market using candlesticks or bars that slice the price series into regular intervals. Doesn't such discretization method distort the real structure of market movements? Discretization of an audio signal at regular intervals is an acceptable solution because an audio signal is a function that changes over time. The signal itself is an amplitude which depends on time. This signal property is fundamental.
Indicator for Spindles Charting
Indicator for Spindles Charting

Indicator for Spindles Charting

The article regards spindle chart plotting and its usage in trading strategies and experts. First let's discuss the chart's appearance, plotting and connection with japanese candlestick chart. Next we analyze the indicator's implementation in the source code in the MQL5 language. Let's test the expert based on indicator and formulate the trading strategy.
MetaTrader AppStore Results for Q3 2013
MetaTrader AppStore Results for Q3 2013

MetaTrader AppStore Results for Q3 2013

Another quarter of the year has passed and we have decided to sum up its results for MetaTrader AppStore - the largest store of trading robots and technical indicators for MetaTrader platforms. More than 500 developers have placed over 1 200 products in the Market by the end of the reported quarter.
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Custom Indicator Workshop (Part 2) : Building a Practical Supertrend Expert Advisor in MQL5

Custom Indicator Workshop (Part 2) : Building a Practical Supertrend Expert Advisor in MQL5

Learn how to build a Supertrend-driven Expert Advisor in MQL5 from the ground up. The article covers embedding the indicator as a resource, reading buffer values on closed bars, detecting confirmed flips, aligning and switching positions, and configuring stop-loss modes and position sizing. It concludes with Strategy Tester setup and reproducible tests, leaving you with a configurable EA and a clear framework for further research and extensions.
Graphical Interfaces VIII: The Tree View Control (Chapter 2)
Graphical Interfaces VIII: The Tree View Control (Chapter 2)

Graphical Interfaces VIII: The Tree View Control (Chapter 2)

The previous chapter of part VIII on graphical interfaces has focused on the elements of static and drop-down calendar. The second chapter will be dedicated to an equally complex element — a tree view, that is included in every complete library used for creating graphical interfaces. A tree view implemented in this article contains multiple flexible settings and modes, thus allowing to adjust this element of control to your needs.
Graphical Interfaces XI: Refactoring the Library code (build 14.1)
Graphical Interfaces XI: Refactoring the Library code (build 14.1)

Graphical Interfaces XI: Refactoring the Library code (build 14.1)

As the library grows, its code must be optimized again in order to reduce its size. The version of the library described in this article has become even more object-oriented. This made the code easier to learn. A detailed description of the latest changes will allow the readers to develop the library independently based on their own needs.
Other classes in DoEasy library (Part 70): Expanding functionality and auto updating the chart object collection
Other classes in DoEasy library (Part 70): Expanding functionality and auto updating the chart object collection

Other classes in DoEasy library (Part 70): Expanding functionality and auto updating the chart object collection

In this article, I will expand the functionality of chart objects and arrange navigation through charts, creation of screenshots, as well as saving and applying templates to charts. Also, I will implement auto update of the collection of chart objects, their windows and indicators within them.
Graphics in DoEasy library (Part 81): Integrating graphics into library objects
Graphics in DoEasy library (Part 81): Integrating graphics into library objects

Graphics in DoEasy library (Part 81): Integrating graphics into library objects

It is time to start the integration of the already created objects into the previously created library objects. This will ultimately endow each library object with its own graphical object allowing users to interact with the program.
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Complex indicators made easy using objects

Complex indicators made easy using objects

This article provides a method to create complex indicators while also avoiding the problems that arise when dealing with multiple plots, buffers and/or combining data from multiple sources.
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Developing a trading robot in Python (Part 3): Implementing a model-based trading algorithm

Developing a trading robot in Python (Part 3): Implementing a model-based trading algorithm

We continue the series of articles on developing a trading robot in Python and MQL5. In this article, we will create a trading algorithm in Python.
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Automated Parameter Optimization for Trading Strategies Using Python and MQL5

Automated Parameter Optimization for Trading Strategies Using Python and MQL5

There are several types of algorithms for self-optimization of trading strategies and parameters. These algorithms are used to automatically improve trading strategies based on historical and current market data. In this article we will look at one of them with python and MQL5 examples.
Creating Documentation Based on MQL5 Source Code
Creating Documentation Based on MQL5 Source Code

Creating Documentation Based on MQL5 Source Code

This article considers creation of documentation for MQL5 code starting with the automated markup of required tags. It also provides the description of how to use the Doxygen software, how to properly configure it and how to receive results in different formats, including html, HtmlHelp and PDF.
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Alan Andrews and his methods of time series analysis

Alan Andrews and his methods of time series analysis

Alan Andrews is one of the most famous "educators" of the modern world in the field of trading. His "pitchfork" is included in almost all modern quote analysis programs. But most traders do not use even a fraction of the opportunities that this tool provides. Besides, Andrews' original training course includes a description not only of the pitchfork (although it remains the main tool), but also of some other useful constructions. The article provides an insight into the marvelous chart analysis methods that Andrews taught in his original course. Beware, there will be a lot of images.
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Creating volatility forecast indicator using Python

Creating volatility forecast indicator using Python

In this article, we will forecast future extreme volatility using binary classification. Besides, we will develop an extreme volatility forecast indicator using machine learning.
Timeseries in DoEasy library (part 45): Multi-period indicator buffers
Timeseries in DoEasy library (part 45): Multi-period indicator buffers

Timeseries in DoEasy library (part 45): Multi-period indicator buffers

In this article, I will start the improvement of the indicator buffer objects and collection class for working in multi-period and multi-symbol modes. I am going to consider the operation of buffer objects for receiving and displaying data from any timeframe on the current symbol chart.
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Building a Dynamic ATR-Based Trend Channel Indicator in MQL5

Building a Dynamic ATR-Based Trend Channel Indicator in MQL5

This article develops a dynamic ATR-based trend channel indicator in MQL5 that responds to current market volatility. It derives True Range, applies a two-step ATR smoothing, and constructs adaptive upper and lower boundaries to track trend shifts. The tool also renders a trailing trend line, trend-colored candles, and reversal arrows, offering a usable code base for volatility-aware analysis and further indicator design.
Building a Spectrum Analyzer
Building a Spectrum Analyzer

Building a Spectrum Analyzer

This article is intended to get its readers acquainted with a possible variant of using graphical objects of the MQL5 language. It analyses an indicator, which implements a panel of managing a simple spectrum analyzer using the graphical objects. The article is meant for readers acquianted with basics of MQL5.
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From Novice to Expert: Trading the RSI with Market Structure Awareness

From Novice to Expert: Trading the RSI with Market Structure Awareness

In this article, we will explore practical techniques for trading the Relative Strength Index (RSI) oscillator with market structure. Our focus will be on channel price action patterns, how they are typically traded, and how MQL5 can be leveraged to enhance this process. By the end, you will have a rule-based, automated channel-trading system designed to capture trend continuation opportunities with greater precision and consistency.
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Building a Research-Grounded Grid EA in MQL5: Why Most Grid EAs Fail and What Taranto Proved

Building a Research-Grounded Grid EA in MQL5: Why Most Grid EAs Fail and What Taranto Proved

This article implements a regime-adaptive grid trading EA based on the PhD research of Aldo Taranto. It presents a regime‑adaptive grid trading EA that constrains risk through restartable cycles and equity‑based safeguards. We explain why naive grids fail (variance growth and almost‑sure ruin), derive the loss formula for real‑time exposure, and implement regime‑aware gating, ATR‑dynamic spacing, and a live kill switch. Readers get the mathematical tools and production patterns needed to build, test, and operate a constrained grid safely.
Graphics in DoEasy library (Part 89): Programming standard graphical objects. Basic functionality
Graphics in DoEasy library (Part 89): Programming standard graphical objects. Basic functionality

Graphics in DoEasy library (Part 89): Programming standard graphical objects. Basic functionality

Currently, the library is able to track standard graphical objects on the client terminal chart, including their removal and modification of some of their parameters. At the moment, it lacks the ability to create standard graphical objects from custom programs.
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Creating an EA that works automatically (Part 06): Account types (I)

Creating an EA that works automatically (Part 06): Account types (I)

Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode. Our EA in its current state can work in any situation but it is not yet ready for automation. We still have to work on a few points.
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Creating an EA that works automatically (Part 12): Automation (IV)

Creating an EA that works automatically (Part 12): Automation (IV)

If you think automated systems are simple, then you probably don't fully understand what it takes to create them. In this article, we will talk about the problem that kills a lot of Expert Advisors. The indiscriminate triggering of orders is a possible solution to this problem.
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Learn how to design a trading system by Force Index

Learn how to design a trading system by Force Index

Welcome to a new article in our series about how to design a trading system by the most popular technical indicators. In this article, we will learn about a new technical indicator and how to create a trading system using the Force Index indicator.
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Learn how to design a trading system by DeMarker

Learn how to design a trading system by DeMarker

Here is a new article in our series about how to design a trading system by the most popular technical indicators. In this article, we will present how to create a trading system by the DeMarker indicator.
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Automating Trading Strategies in MQL5 (Part 18): Envelopes Trend Bounce Scalping - Core Infrastructure and Signal Generation (Part I)

Automating Trading Strategies in MQL5 (Part 18): Envelopes Trend Bounce Scalping - Core Infrastructure and Signal Generation (Part I)

In this article, we build the core infrastructure for the Envelopes Trend Bounce Scalping Expert Advisor in MQL5. We initialize envelopes and other indicators for signal generation. We set up backtesting to prepare for trade execution in the next part.