MQL4 and 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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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.
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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.
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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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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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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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.
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.
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.
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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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.
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 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.
MetaTrader 4 Working under Antiviruses and Firewalls
MetaTrader 4 Working under Antiviruses and Firewalls

MetaTrader 4 Working under Antiviruses and Firewalls

The most of traders use special programs to protect their PCs. Unfortunately, these programs don't only protect computers against intrusions, viruses and Trojans, but also consume a significant amount of resources. This relates to network traffic, first of all, which is wholly controlled by various intelligent antiviruses and firewalls. The reason for writing this article was that traders complained of slowed MetaTrader 4 Client Terminal when working with Outpost Firewall. We decided to make our own research using Kaspersky Antivirus 6.0 and Outpost Firewall Pro 4.0.
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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.
Statistical Estimations
Statistical Estimations

Statistical Estimations

Estimation of statistical parameters of a sequence is very important, since most of mathematical models and methods are based on different assumptions. For example, normality of distribution law or dispersion value, or other parameters. Thus, when analyzing and forecasting of time series we need a simple and convenient tool that allows quickly and clearly estimating the main statistical parameters. The article shortly describes the simplest statistical parameters of a random sequence and several methods of its visual analysis. It offers the implementation of these methods in MQL5 and the methods of visualization of the result of calculations using the Gnuplot application.
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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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Neural networks made easy (Part 30): Genetic algorithms

Neural networks made easy (Part 30): Genetic algorithms

Today I want to introduce you to a slightly different learning method. We can say that it is borrowed from Darwin's theory of evolution. It is probably less controllable than the previously discussed methods but it allows training non-differentiable models.
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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.
EA Status SMS Notifications
EA Status SMS Notifications

EA Status SMS Notifications

Developing a system of SMS notifications that informs you of the status of your EA so that you are always aware of any critical situation, wherever you may be.
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Building A Candlestick Trend Constraint Model(Part 2): Merging Native Indicators

Building A Candlestick Trend Constraint Model(Part 2): Merging Native Indicators

This article focuses on taking advantage of in-built meta trader 5 indicators to screen out off-trend signals. Advancing from the previous article we will explore how to do it using MQL5 code to communicate our idea to the final program.
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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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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.
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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.
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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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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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Data Science and Machine Learning (Part 04): Predicting Current Stock Market Crash

Data Science and Machine Learning (Part 04): Predicting Current Stock Market Crash

In this article I am going to attempt to use our logistic model to predict the stock market crash based upon the fundamentals of the US economy, the NETFLIX and APPLE are the stocks we are going to focus on, Using the previous market crashes of 2019 and 2020 let's see how our model will perform in the current dooms and glooms.
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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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Learn how to design a trading system by Accumulation/Distribution (AD)

Learn how to design a trading system by Accumulation/Distribution (AD)

Welcome to the new article from our series about learning how to design trading systems based on the most popular technical indicators. In this article, we will learn about a new technical indicator called Accumulation/Distribution indicator and find out how to design an MQL5 trading system based on simple AD trading strategies.
Transferring an Indicator Code into an Expert Advisor Code. Conclusion
Transferring an Indicator Code into an Expert Advisor Code. Conclusion

Transferring an Indicator Code into an Expert Advisor Code. Conclusion

This is the final article, devoted to transferring an indicator code into an Expert Advisor code. Here the author transforms on a certain example a code of an Expert Advisor so, that this EA is presented in a single file without calling custom indicators.
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Working with ONNX models in float16 and float8 formats

Working with ONNX models in float16 and float8 formats

Data formats used to represent machine learning models play a crucial role in their effectiveness. In recent years, several new types of data have emerged, specifically designed for working with deep learning models. In this article, we will focus on two new data formats that have become widely adopted in modern models.
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Learn how to design a trading system by Chaikin Oscillator

Learn how to design a trading system by Chaikin Oscillator

Welcome to our new article from our series about learning how to design a trading system by the most popular technical indicator. Through this new article, we will learn how to design a trading system by the Chaikin Oscillator indicator.
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MQL5 Wizard techniques you should know (Part 01): Regression Analysis

MQL5 Wizard techniques you should know (Part 01): Regression Analysis

Todays trader is a philomath who is almost always (either consciously or not...) looking up new ideas, trying them out, choosing to modify them or discard them; an exploratory process that should cost a fair amount of diligence. This clearly places a premium on the trader's time and the need to avoid mistakes. These series of articles will proposition that the MQL5 wizard should be a mainstay for traders. Why? Because not only does the trader save time by assembling his new ideas with the MQL5 wizard, and greatly reduce mistakes from duplicate coding; he is ultimately set-up to channel his energy on the few critical areas of his trading philosophy.
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Visual evaluation of optimization results

Visual evaluation of optimization results

In this article, we will consider how to build graphs of all optimization passes and to select the optimal custom criterion. We will also see how to create a desired solution with little MQL5 knowledge, using the articles published on the website and forum comments.
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Data Science and Machine Learning (Part 02): Logistic Regression

Data Science and Machine Learning (Part 02): Logistic Regression

Data Classification is a crucial thing for an algo trader and a programmer. In this article, we are going to focus on one of classification logistic algorithms that can probability help us identify the Yes's or No's, the Ups and Downs, Buys and Sells.
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Developing a trading Expert Advisor from scratch (Part 31): Towards the future (IV)

Developing a trading Expert Advisor from scratch (Part 31): Towards the future (IV)

We continue to remove separate parts from our EA. This is the last article within this series. And the last thing to be removed is the sound system. This can be a bit confusing if you haven't followed these article series.
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Automated Risk Management for Passing Prop Firm Challenges

Automated Risk Management for Passing Prop Firm Challenges

This article explains the design of a prop-firm Expert Advisor for GOLD, featuring breakout filters, multi-timeframe analysis, robust risk management, and strict drawdown protection. The EA helps traders pass prop-firm challenges by avoiding rule breaches and stabilizing trade execution under volatile market conditions.
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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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MQL5 Cookbook — Services

MQL5 Cookbook — Services

The article describes the versatile capabilities of services — MQL5 programs that do not require binding graphs. I will also highlight the differences of services from other MQL5 programs and emphasize the nuances of the developer's work with services. As examples, the reader is offered various tasks covering a wide range of functionality that can be implemented as a service.
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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.
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Engineering Trading Discipline into Code (Part 2): Building a Daily Trade Limit Enforcer for All Trades in MQL5

Engineering Trading Discipline into Code (Part 2): Building a Daily Trade Limit Enforcer for All Trades in MQL5

We have developed a system that enforces a daily trade limit to keep you aligned with your trading rules. It monitors all executed trades across the account and automatically intervenes once the defined limit is reached, preventing any further activity. By embedding control directly into the platform, the system ensures discipline is maintained even when market pressure rises.