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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Understand and efficiently use OpenCL API by recreating built-in support as DLL on Linux (Part 1): Motivation and validation

Understand and efficiently use OpenCL API by recreating built-in support as DLL on Linux (Part 1): Motivation and validation

Bulit-in OpenCL support in MetaTrader 5 still has a major problem especially the one about device selection error 5114 resulting from unable to create an OpenCL context using CL_USE_GPU_ONLY, or CL_USE_GPU_DOUBLE_ONLY although it properly detects GPU. It works fine with directly using of ordinal number of GPU device we found in Journal tab, but that's still considered a bug, and users should not hard-code a device. We will solve it by recreating an OpenCL support as DLL with C++ on Linux. Along the journey, we will get to know OpenCL from concept to best practices in its API usage just enough for us to put into great use later when we deal with DLL implementation in C++ and consume it with MQL5.
Interview with Andrea Zani (ATC 2011)
Interview with Andrea Zani (ATC 2011)

Interview with Andrea Zani (ATC 2011)

On the eleventh week of the Automated Trading Championship, Andrea Zani (sbraer) got featured very close to the top five of the competition. It is on the sixth place with about 47,000 USD now. Andrea's Expert Advisor AZXY has made only one losing deal, which was at the very beginning of the Championship. Since then, its equity curve has been steadily growing.
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Category Theory in MQL5 (Part 20): A detour to Self-Attention and the Transformer

Category Theory in MQL5 (Part 20): A detour to Self-Attention and the Transformer

We digress in our series by pondering at part of the algorithm to chatGPT. Are there any similarities or concepts borrowed from natural transformations? We attempt to answer these and other questions in a fun piece, with our code in a signal class format.
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William Gann methods (Part I): Creating Gann Angles indicator

William Gann methods (Part I): Creating Gann Angles indicator

What is the essence of Gann Theory? How are Gann angles constructed? We will create Gann Angles indicator for MetaTrader 5.
Alexander Anufrenko: "A danger foreseen is half avoided" (ATC 2010)
Alexander Anufrenko: "A danger foreseen is half avoided" (ATC 2010)

Alexander Anufrenko: "A danger foreseen is half avoided" (ATC 2010)

The risky development of Alexander Anufrenko (Anufrenko321) had been featured among the top three of the Championship for three weeks. Having suffered a catastrophic Stop Loss last week, his Expert Advisor lost about $60,000, but now once again he is approaching the leaders. In this interview the author of this interesting EA is describing the operating principles and characteristics of his application.
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Trading with the MQL5 Economic Calendar (Part 1): Mastering the Functions of the MQL5 Economic Calendar

Trading with the MQL5 Economic Calendar (Part 1): Mastering the Functions of the MQL5 Economic Calendar

In this article, we explore how to use the MQL5 Economic Calendar for trading by first understanding its core functionalities. We then implement key functions of the Economic Calendar in MQL5 to extract relevant news data for trading decisions. Finally, we conclude by showcasing how to utilize this information to enhance trading strategies effectively.
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Developing an MQTT client for MetaTrader 5: a TDD approach — Part 3

Developing an MQTT client for MetaTrader 5: a TDD approach — Part 3

This article is the third part of a series describing our development steps of a native MQL5 client for the MQTT protocol. In this part, we describe in detail how we are using Test-Driven Development to implement the Operational Behavior part of the CONNECT/CONNACK packet exchange. At the end of this step, our client MUST be able to behave appropriately when dealing with any of the possible server outcomes from a connection attempt.
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Introduction to MQL5 (Part 17): Building Expert Advisors Using Technical Chart Patterns (II)

Introduction to MQL5 (Part 17): Building Expert Advisors Using Technical Chart Patterns (II)

This article teaches beginners how to build an Expert Advisor (EA) in MQL5 that trades based on chart pattern recognition using trend line breakouts and reversals. By learning how to retrieve trend line values dynamically and compare them with price action, readers will be able to develop EAs capable of identifying and trading chart patterns such as ascending and descending trend lines, channels, wedges, triangles, and more.
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DoEasy. Controls (Part 24): Hint auxiliary WinForms object

DoEasy. Controls (Part 24): Hint auxiliary WinForms object

In this article, I will revise the logic of specifying the base and main objects for all WinForms library objects, develop a new Hint base object and several of its derived classes to indicate the possible direction of moving the separator.
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Price Action Analysis Toolkit Development Part (4): Analytics Forecaster EA

Price Action Analysis Toolkit Development Part (4): Analytics Forecaster EA

We are moving beyond simply viewing analyzed metrics on charts to a broader perspective that includes Telegram integration. This enhancement allows important results to be delivered directly to your mobile device via the Telegram app. Join us as we explore this journey together in this article.
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Integrating Discord with MetaTrader 5: Building a Trading Bot with Real-Time Notifications

Integrating Discord with MetaTrader 5: Building a Trading Bot with Real-Time Notifications

In this article, we will see how to integrate MetaTrader 5 and a discord server in order to receive trading notifications in real time from any location. We will see how to configure the platform and Discord to enable the delivery of alerts to Discord. We will also cover security issues which arise in connection with the use of WebRequests and webhooks for such alerting solutions.
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Building A Candlestick Trend Constraint Model (Part 8): Expert Advisor Development (II)

Building A Candlestick Trend Constraint Model (Part 8): Expert Advisor Development (II)

Think about an independent Expert Advisor. Previously, we discussed an indicator-based Expert Advisor that also partnered with an independent script for drawing risk and reward geometry. Today, we will discuss the architecture of an MQL5 Expert Advisor, that integrates, all the features in one program.
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Seasonality Filtering and time period for Deep Learning ONNX models with python for EA

Seasonality Filtering and time period for Deep Learning ONNX models with python for EA

Can we benefit from seasonality when creating models for Deep Learning with Python? Does filtering data for the ONNX models help to get better results? What time period should we use? We will cover all of this over this article.
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Population optimization algorithms: Saplings Sowing and Growing up (SSG)

Population optimization algorithms: Saplings Sowing and Growing up (SSG)

Saplings Sowing and Growing up (SSG) algorithm is inspired by one of the most resilient organisms on the planet demonstrating outstanding capability for survival in a wide variety of conditions.
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Neural Networks in Trading: Hierarchical Vector Transformer (HiVT)

Neural Networks in Trading: Hierarchical Vector Transformer (HiVT)

We invite you to get acquainted with the Hierarchical Vector Transformer (HiVT) method, which was developed for fast and accurate forecasting of multimodal time series.
Andrey Bolkonsky (abolk): "Any programmer knows that there is no software without bugs"
Andrey Bolkonsky (abolk): "Any programmer knows that there is no software without bugs"

Andrey Bolkonsky (abolk): "Any programmer knows that there is no software without bugs"

Andrey Bolkonsky (abolk) has been participating in the Jobs service since its opening. He has developed dozens of indicators and Expert Advisors for the MetaTrader 4 and MetaTrader 5 platforms. We will talk with Andrey about what a server is from the perspective of a programmer.
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Developing a Replay System (Part 27): Expert Advisor project — C_Mouse class (I)

Developing a Replay System (Part 27): Expert Advisor project — C_Mouse class (I)

In this article we will implement the C_Mouse class. It provides the ability to program at the highest level. However, talking about high-level or low-level programming languages is not about including obscene words or jargon in the code. It's the other way around. When we talk about high-level or low-level programming, we mean how easy or difficult the code is for other programmers to understand.
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Category Theory in MQL5 (Part 2)

Category Theory in MQL5 (Part 2)

Category Theory is a diverse and expanding branch of Mathematics which as of yet is relatively uncovered in the MQL5 community. These series of articles look to introduce and examine some of its concepts with the overall goal of establishing an open library that attracts comments and discussion while hopefully furthering the use of this remarkable field in Traders' strategy development.
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Neural networks made easy (Part 48): Methods for reducing overestimation of Q-function values

Neural networks made easy (Part 48): Methods for reducing overestimation of Q-function values

In the previous article, we introduced the DDPG method, which allows training models in a continuous action space. However, like other Q-learning methods, DDPG is prone to overestimating Q-function values. This problem often results in training an agent with a suboptimal strategy. In this article, we will look at some approaches to overcome the mentioned issue.
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Implementing the SHA-256 Cryptographic Algorithm from Scratch in MQL5

Implementing the SHA-256 Cryptographic Algorithm from Scratch in MQL5

Building DLL-free cryptocurrency exchange integrations has long been a challenge, but this solution provides a complete framework for direct market connectivity.
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Example of Auto Optimized Take Profits and Indicator Parameters with SMA and EMA

Example of Auto Optimized Take Profits and Indicator Parameters with SMA and EMA

This article presents a sophisticated Expert Advisor for forex trading, combining machine learning with technical analysis. It focuses on trading Apple stock, featuring adaptive optimization, risk management, and multiple strategies. Backtesting shows promising results with high profitability but also significant drawdowns, indicating potential for further refinement.
Dimitar Manov: "I fear only extraordinary situations in the Championship" (ATC 2010)
Dimitar Manov: "I fear only extraordinary situations in the Championship" (ATC 2010)

Dimitar Manov: "I fear only extraordinary situations in the Championship" (ATC 2010)

In the recent review by Boris Odintsov the Expert Advisor of the Bulgarian Participant Dimitar Manov appeared among the most stable and reliable EAs. We decided to interview this developer and try to find the secret of his success. In this interview Dimitar has told us what situation would be unfavorable for his robot, why he's not using indicators and whether he is expecting to win the competition.
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Neural networks made easy (Part 47): Continuous action space

Neural networks made easy (Part 47): Continuous action space

In this article, we expand the range of tasks of our agent. The training process will include some aspects of money and risk management, which are an integral part of any trading strategy.
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DoEasy. Controls (Part 28): Bar styles in the ProgressBar control

DoEasy. Controls (Part 28): Bar styles in the ProgressBar control

In this article, I will develop display styles and description text for the progress bar of the ProgressBar control.
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From Novice to Expert: Auto-Geometric Analysis System

From Novice to Expert: Auto-Geometric Analysis System

Geometric patterns offer traders a concise way to interpret price action. Many analysts draw trend lines, rectangles, and other shapes by hand, and then base trading decisions on the formations they see. In this article, we explore an automated alternative: harnessing MQL5 to detect and analyze the most popular geometric patterns. We’ll break down the methodology, discuss implementation details, and highlight how automated pattern recognition can sharpen a trader's market insights.
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MQL5 Wizard Techniques you should know (Part 17): Multicurrency Trading

MQL5 Wizard Techniques you should know (Part 17): Multicurrency Trading

Trading across multiple currencies is not available by default when an expert advisor is assembled via the wizard. We examine 2 possible hacks traders can make when looking to test their ideas off more than one symbol at a time.
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Gain An Edge Over Any Market (Part II): Forecasting Technical Indicators

Gain An Edge Over Any Market (Part II): Forecasting Technical Indicators

Did you know that we can gain more accuracy forecasting certain technical indicators than predicting the underlying price of a traded symbol? Join us to explore how to leverage this insight for better trading strategies.
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MQL5 Wizard Techniques you should know (Part 42): ADX Oscillator

MQL5 Wizard Techniques you should know (Part 42): ADX Oscillator

The ADX is another relatively popular technical indicator used by some traders to gauge the strength of a prevalent trend. Acting as a combination of two other indicators, it presents as an oscillator whose patterns we explore in this article with the help of MQL5 wizard assembly and its support classes.
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Brain Storm Optimization algorithm (Part II): Multimodality

Brain Storm Optimization algorithm (Part II): Multimodality

In the second part of the article, we will move on to the practical implementation of the BSO algorithm, conduct tests on test functions and compare the efficiency of BSO with other optimization methods.
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Self Optimizing Expert Advisor With MQL5 And Python (Part V): Deep Markov Models

Self Optimizing Expert Advisor With MQL5 And Python (Part V): Deep Markov Models

In this discussion, we will apply a simple Markov Chain on an RSI Indicator, to observe how price behaves after the indicator passes through key levels. We concluded that the strongest buy and sell signals on the NZDJPY pair are generated when the RSI is in the 11-20 range and 71-80 range, respectively. We will demonstrate how you can manipulate your data, to create optimal trading strategies that are learned directly from the data you have. Furthermore, we will demonstrate how to train a deep neural network to learn to use the transition matrix optimally.
Interview with Berron Parker (ATC 2010)
Interview with Berron Parker (ATC 2010)

Interview with Berron Parker (ATC 2010)

During the first week of the Championship Berron's Expert Advisor has been on the top position. He now tells us about his experience of EA development and difficulties of moving to MQL5. Berron says his EA is set up to work in a trend market, but can be weak in other market conditions. However, he is hopeful that his robot will show good results in this competition.
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Manual Backtesting Made Easy: Building a Custom Toolkit for Strategy Tester in MQL5

Manual Backtesting Made Easy: Building a Custom Toolkit for Strategy Tester in MQL5

In this article, we design a custom MQL5 toolkit for easy manual backtesting in the Strategy Tester. We explain its design and implementation, focusing on interactive trade controls. We then show how to use it to test strategies effectively
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Neural networks made easy (Part 80): Graph Transformer Generative Adversarial Model (GTGAN)

Neural networks made easy (Part 80): Graph Transformer Generative Adversarial Model (GTGAN)

In this article, I will get acquainted with the GTGAN algorithm, which was introduced in January 2024 to solve complex problems of generation architectural layouts with graph constraints.
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Manual Backtesting Made Easy: Building a Custom Toolkit for Strategy Tester in MQL5

Manual Backtesting Made Easy: Building a Custom Toolkit for Strategy Tester in MQL5

In this article, we design a custom MQL5 toolkit for easy manual backtesting in the Strategy Tester. We explain its design and implementation, focusing on interactive trade controls. We then show how to use it to test strategies effectively
Interview with Valery Mazurenko (ATC 2011)
Interview with Valery Mazurenko (ATC 2011)

Interview with Valery Mazurenko (ATC 2011)

The task of writing an Expert Advisor trading on multiple currency pairs is complex both in terms of finding suitable strategies and from the technological side. But if the goal is set clear, nothing is impossible then. It was four times already that Vitaly Mazurenko (notused) submitted his multi-currency Expert Advisor. It seems, he has managed to find the right way this time.
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Neural Networks in Trading: Using Language Models for Time Series Forecasting

Neural Networks in Trading: Using Language Models for Time Series Forecasting

We continue to study time series forecasting models. In this article, we get acquainted with a complex algorithm built on the use of a pre-trained language model.
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Category Theory in MQL5 (Part 18): Naturality Square

Category Theory in MQL5 (Part 18): Naturality Square

This article continues our series into category theory by introducing natural transformations, a key pillar within the subject. We look at the seemingly complex definition, then delve into examples and applications with this series’ ‘bread and butter’; volatility forecasting.
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DoEasy. Controls (Part 17): Cropping invisible object parts, auxiliary arrow buttons WinForms objects

DoEasy. Controls (Part 17): Cropping invisible object parts, auxiliary arrow buttons WinForms objects

In this article, I will create the functionality for hiding object sections located beyond their containers. Besides, I will create auxiliary arrow button objects to be used as part of other WinForms objects.
Interview with Igor Korepin (ATC 2011)
Interview with Igor Korepin (ATC 2011)

Interview with Igor Korepin (ATC 2011)

Appearance of the Expert Advisor cs2011 by Igor Korepin (Xupypr) at the very top of the Automated Trading Championship 2011 was really impressive - its balance was almost twice that of the EA featured on the second place. However, despite such a sound breakaway, the Expert Advisor could not stay long on the first line. Igor frankly said that he relied much on a lucky start of his trading robot in the competition. We'll see if luck helps this simple EA to take the lead in the ATC 2011 race again.
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Data Science and ML (Part 33): Pandas Dataframe in MQL5, Data Collection for ML Usage made easier

Data Science and ML (Part 33): Pandas Dataframe in MQL5, Data Collection for ML Usage made easier

When working with machine learning models, it’s essential to ensure consistency in the data used for training, validation, and testing. In this article, we will create our own version of the Pandas library in MQL5 to ensure a unified approach for handling machine learning data, for ensuring the same data is applied inside and outside MQL5, where most of the training occurs.