MQL4 and MQL5 Programming Articles

icon

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.

Follow our new publications and discuss them on the Forum!

Add a new article
latest | best
preview
Analyzing all price movement options on the IBM quantum computer

Analyzing all price movement options on the IBM quantum computer

We will use a quantum computer from IBM to discover all price movement options. Sounds like science fiction? Welcome to the world of quantum computing for trading!
Fallacies, Part 2. Statistics Is a Pseudo-Science, or a Chronicle of Nosediving Bread And Butter
Fallacies, Part 2. Statistics Is a Pseudo-Science, or a Chronicle of Nosediving Bread And Butter

Fallacies, Part 2. Statistics Is a Pseudo-Science, or a Chronicle of Nosediving Bread And Butter

Numerous attempts to apply statistical methods to the objective reality, i.e. to financial series, crash when met with the nonstationarity of processes, "fat tails" of accompanying probability distributions, and insufficient volume of financial data.In this publication I will try to refer not to the financial series as such, but to their subjective presentation - in this case, to the way a trader tries to halter the series, i.e. to the trading system. The eduction of statistical regularities of the trading results process is a rather enthralling task. In some cases quite true conclusions about the model of this process can be made, and these can be applied to the trading system.
preview
Design Patterns in software development and MQL5 (Part 3): Behavioral Patterns 1

Design Patterns in software development and MQL5 (Part 3): Behavioral Patterns 1

A new article from Design Patterns articles and we will take a look at one of its types which is behavioral patterns to understand how we can build communication methods between created objects effectively. By completing these Behavior patterns we will be able to understand how we can create and build a reusable, extendable, tested software.
preview
Price Action Analysis Toolkit Development (Part 5): Volatility Navigator EA

Price Action Analysis Toolkit Development (Part 5): Volatility Navigator EA

Determining market direction can be straightforward, but knowing when to enter can be challenging. As part of the series titled "Price Action Analysis Toolkit Development", I am excited to introduce another tool that provides entry points, take profit levels, and stop loss placements. To achieve this, we have utilized the MQL5 programming language. Let’s delve into each step in this article.
preview
From Novice to Expert: Reporting EA — Setting up the work flow

From Novice to Expert: Reporting EA — Setting up the work flow

Brokerages often provide trading account reports at regular intervals, based on a predefined schedule. These firms, through their API technologies, have access to your account activity and trading history, allowing them to generate performance reports on your behalf. Similarly, the MetaTrader 5 terminal stores detailed records of your trading activity, which can be leveraged using MQL5 to create fully customized reports and define personalized delivery methods.
preview
Measuring Indicator Information

Measuring Indicator Information

Machine learning has become a popular method for strategy development. Whilst there has been more emphasis on maximizing profitability and prediction accuracy , the importance of processing the data used to build predictive models has not received a lot of attention. In this article we consider using the concept of entropy to evaluate the appropriateness of indicators to be used in predictive model building as documented in the book Testing and Tuning Market Trading Systems by Timothy Masters.
Graphics in DoEasy library (Part 92): Standard graphical object memory class. Object property change history
Graphics in DoEasy library (Part 92): Standard graphical object memory class. Object property change history

Graphics in DoEasy library (Part 92): Standard graphical object memory class. Object property change history

In the article, I will create the class of the standard graphical object memory allowing the object to save its states when its properties are modified. In turn, this allows retracting to the previous graphical object states.
preview
Neural Networks in Trading: Integrating Chaos Theory into Time Series Forecasting (Attraos)

Neural Networks in Trading: Integrating Chaos Theory into Time Series Forecasting (Attraos)

The Attraos framework integrates chaos theory into long-term time series forecasting, treating them as projections of multidimensional chaotic dynamic systems. Exploiting attractor invariance, the model uses phase space reconstruction and dynamic multi-resolution memory to preserve historical structures.
preview
Neural networks made easy (Part 55): Contrastive intrinsic control (CIC)

Neural networks made easy (Part 55): Contrastive intrinsic control (CIC)

Contrastive training is an unsupervised method of training representation. Its goal is to train a model to highlight similarities and differences in data sets. In this article, we will talk about using contrastive training approaches to explore different Actor skills.
preview
Portfolio Optimization in Python and MQL5

Portfolio Optimization in Python and MQL5

This article explores advanced portfolio optimization techniques using Python and MQL5 with MetaTrader 5. It demonstrates how to develop algorithms for data analysis, asset allocation, and trading signal generation, emphasizing the importance of data-driven decision-making in modern financial management and risk mitigation.
preview
DoEasy. Controls (Part 4): Panel control, Padding and Dock parameters

DoEasy. Controls (Part 4): Panel control, Padding and Dock parameters

In this article, I will implement handling Padding (internal indents/margin on all sides of an element) and Dock parameters (the way an object is located inside its container).
preview
MQL5 Wizard Techniques you should know (Part 83):  Using Patterns of Stochastic Oscillator and the FrAMA — Behavioral Archetypes

MQL5 Wizard Techniques you should know (Part 83): Using Patterns of Stochastic Oscillator and the FrAMA — Behavioral Archetypes

The Stochastic Oscillator and the Fractal Adaptive Moving Average are another indicator pairing that could be used for their ability to compliment each other within an MQL5 Expert Advisor. We look at the Stochastic for its ability to pinpoint momentum shifts, while the FrAMA is used to provide confirmation of the prevailing trends. In exploring this indicator pairing, as always, we use the MQL5 wizard to build and test out their potential.
preview
Triangular arbitrage with predictions

Triangular arbitrage with predictions

This article simplifies triangular arbitrage, showing you how to use predictions and specialized software to trade currencies smarter, even if you're new to the market. Ready to trade with expertise?
preview
Frequency domain representations of time series: The Power Spectrum

Frequency domain representations of time series: The Power Spectrum

In this article we discuss methods related to the analysis of timeseries in the frequency domain. Emphasizing the utility of examining the power spectra of time series when building predictive models. In this article we will discuss some of the useful perspectives to be gained by analyzing time series in the frequency domain using the discrete fourier transform (dft).
preview
Neural Networks in Trading: Enhancing Transformer Efficiency by Reducing Sharpness (SAMformer)

Neural Networks in Trading: Enhancing Transformer Efficiency by Reducing Sharpness (SAMformer)

Training Transformer models requires large amounts of data and is often difficult since the models are not good at generalizing to small datasets. The SAMformer framework helps solve this problem by avoiding poor local minima. This improves the efficiency of models even on limited training datasets.
preview
Price Action Analysis Toolkit Development (Part 29): Boom and Crash Interceptor EA

Price Action Analysis Toolkit Development (Part 29): Boom and Crash Interceptor EA

Discover how the Boom & Crash Interceptor EA transforms your charts into a proactive alert system-spotting explosive moves with lightning-fast velocity scans, volatility surge checks, trend confirmation, and pivot-zone filters. With crisp green “Boom” and red “Crash” arrows guiding your every decision, this tool cuts through the noise and lets you capitalize on market spikes like never before. Dive in to see how it works and why it can become your next essential edge.
preview
Creating Custom Indicators in MQL5 (Part 2): Building a Gauge-Style RSI Display with Canvas and Needle Mechanics

Creating Custom Indicators in MQL5 (Part 2): Building a Gauge-Style RSI Display with Canvas and Needle Mechanics

In this article, we develop a gauge-style RSI indicator in MQL5 that visualizes Relative Strength Index values on a circular scale with a dynamic needle, color-coded ranges for overbought and oversold levels, and customizable legends. We utilize the Canvas class to draw elements like arcs, ticks, and pies, ensuring smooth updates on new RSI data.
preview
Neural Networks in Trading: A Parameter-Efficient Transformer with Segmented Attention (PSformer)

Neural Networks in Trading: A Parameter-Efficient Transformer with Segmented Attention (PSformer)

This article introduces the new PSformer framework, which adapts the architecture of the vanilla Transformer to solving problems related to multivariate time series forecasting. The framework is based on two key innovations: the Parameter Sharing (PS) mechanism and the Segment Attention (SegAtt).
preview
DoEasy. Controls (Part 8): Base WinForms objects by categories, GroupBox and CheckBox controls

DoEasy. Controls (Part 8): Base WinForms objects by categories, GroupBox and CheckBox controls

The article considers creation of 'GroupBox' and 'CheckBox' WinForms objects, as well as the development of base objects for WinForms object categories. All created objects are still static, i.e. they are unable to interact with the mouse.
preview
Fast trading strategy tester in Python using Numba

Fast trading strategy tester in Python using Numba

The article implements a fast strategy tester for machine learning models using Numba. It is 50 times faster than the pure Python strategy tester. The author recommends using this library to speed up mathematical calculations, especially the ones involving loops.
preview
Price Action Analysis Toolkit Development (Part 67): Automating Support and Resistance Monitoring in MQL5

Price Action Analysis Toolkit Development (Part 67): Automating Support and Resistance Monitoring in MQL5

This article implements a complete MQL5 Expert Advisor that monitors manually drawn support and resistance levels in real time. It synchronizes horizontal lines, detects approaches, touches, breakouts, reversals, and retests, and adds optional candlestick pattern checks. Alerts and on‑chart markers provide clear, repeatable feedback, allowing you to keep manual analysis while automating the surveillance of key price levels.
preview
Developing a Replay System — Market simulation (Part 20): FOREX (I)

Developing a Replay System — Market simulation (Part 20): FOREX (I)

The initial goal of this article is not to cover all the possibilities of Forex trading, but rather to adapt the system so that you can perform at least one market replay. We'll leave simulation for another moment. However, if we don't have ticks and only bars, with a little effort we can simulate possible trades that could happen in the Forex market. This will be the case until we look at how to adapt the simulator. An attempt to work with Forex data inside the system without modifying it leads to a range of errors.
Expert Advisors Based on Popular Trading Systems and Alchemy of Trading Robot Optimization (Part  V)
Expert Advisors Based on Popular Trading Systems and Alchemy of Trading Robot Optimization (Part  V)

Expert Advisors Based on Popular Trading Systems and Alchemy of Trading Robot Optimization (Part V)

In this article the author offers ways to improve trading systems described in his previous articles. The article will be interesting for traders that already have some experience of writing Expert Advisors.
preview
ALGLIB library optimization methods (Part II)

ALGLIB library optimization methods (Part II)

In this article, we will continue to study the remaining optimization methods from the ALGLIB library, paying special attention to their testing on complex multidimensional functions. This will allow us not only to evaluate the efficiency of each algorithm, but also to identify their strengths and weaknesses in different conditions.
preview
Developing a trading Expert Advisor from scratch (Part 20): New order system (III)

Developing a trading Expert Advisor from scratch (Part 20): New order system (III)

We continue to implement the new order system. The creation of such a system requires a good command of MQL5, as well as an understanding of how the MetaTrader 5 platform actually works and what resources it provides.
preview
Raw Code Optimization and Tweaking for Improving Back-Test Results

Raw Code Optimization and Tweaking for Improving Back-Test Results

Enhance your MQL5 code by optimizing logic, refining calculations, and reducing execution time to improve back-test accuracy. Fine-tune parameters, optimize loops, and eliminate inefficiencies for better performance.
preview
Creating an Interactive Graphical User Interface in MQL5 (Part 2): Adding Controls and Responsiveness

Creating an Interactive Graphical User Interface in MQL5 (Part 2): Adding Controls and Responsiveness

Enhancing the MQL5 GUI panel with dynamic features can significantly improve the trading experience for users. By incorporating interactive elements, hover effects, and real-time data updates, the panel becomes a powerful tool for modern traders.
preview
Price Action Analysis Toolkit Development (Part 12): External Flow (III) TrendMap

Price Action Analysis Toolkit Development (Part 12): External Flow (III) TrendMap

The flow of the market is determined by the forces between bulls and bears. There are specific levels that the market respects due to the forces acting on them. Fibonacci and VWAP levels are especially powerful in influencing market behavior. Join me in this article as we explore a strategy based on VWAP and Fibonacci levels for signal generation.
preview
Trading Insights Through Volume: Trend Confirmation

Trading Insights Through Volume: Trend Confirmation

The Enhanced Trend Confirmation Technique combines price action, volume analysis, and machine learning to identify genuine market movements. It requires both price breakouts and volume surges (50% above average) for trade validation, while using an LSTM neural network for additional confirmation. The system employs ATR-based position sizing and dynamic risk management, making it adaptable to various market conditions while filtering out false signals.
preview
Mastering Quick Trades: Overcoming Execution Paralysis

Mastering Quick Trades: Overcoming Execution Paralysis

The UT BOT ATR Trailing Indicator is a personal and customizable indicator that is very effective for traders who like to make quick decisions and make money from differences in price referred to as short-term trading (scalpers) and also proves to be vital and very effective for long-term traders (positional traders).
preview
From Novice to Expert: Statistical Validation of Supply and Demand Zones

From Novice to Expert: Statistical Validation of Supply and Demand Zones

Today, we uncover the often overlooked statistical foundation behind supply and demand trading strategies. By combining MQL5 with Python through a Jupyter Notebook workflow, we conduct a structured, data-driven investigation aimed at transforming visual market assumptions into measurable insights. This article covers the complete research process, including data collection, Python-based statistical analysis, algorithm design, testing, and final conclusions. To explore the methodology and findings in detail, read the full article.
preview
Neural networks made easy (Part 37): Sparse Attention

Neural networks made easy (Part 37): Sparse Attention

In the previous article, we discussed relational models which use attention mechanisms in their architecture. One of the specific features of these models is the intensive utilization of computing resources. In this article, we will consider one of the mechanisms for reducing the number of computational operations inside the Self-Attention block. This will increase the general performance of the model.
preview
Build Self Optimizing Expert Advisors With MQL5 And Python (Part II): Tuning Deep Neural Networks

Build Self Optimizing Expert Advisors With MQL5 And Python (Part II): Tuning Deep Neural Networks

Machine learning models come with various adjustable parameters. In this series of articles, we will explore how to customize your AI models to fit your specific market using the SciPy library.
preview
Building an Internal and External Market Structure Indicator

Building an Internal and External Market Structure Indicator

The article presents a structured approach to external and internal market structure in MQL5, from swing identification to CHoCH/BoS validation within an established trend. It explains refining true highs/lows, enforcing “first internal signal” logic, and rendering lines, labels, and markers on the chart. The outcome is a consistent indicator that converts price structure into defined entries, stop losses, and 1.5R targets.
preview
Developing a Replay System (Part 38): Paving the Path (II)

Developing a Replay System (Part 38): Paving the Path (II)

Many people who consider themselves MQL5 programmers do not have the basic knowledge that I will outline in this article. Many people consider MQL5 to be a limited tool, but the actual reason is that they do not have the required knowledge. So, if you don't know something, don't be ashamed of it. It's better to feel ashamed for not asking. Simply forcing MetaTrader 5 to disable indicator duplication in no way ensures two-way communication between the indicator and the Expert Advisor. We are still very far from this, but the fact that the indicator is not duplicated on the chart gives us some confidence.
preview
MQL5 Wizard Techniques you should know (Part 73): Using Patterns of Ichimoku and the ADX-Wilder

MQL5 Wizard Techniques you should know (Part 73): Using Patterns of Ichimoku and the ADX-Wilder

The Ichimoku-Kinko-Hyo Indicator and the ADX-Wilder oscillator are a pairing that could be used in complimentarily within an MQL5 Expert Advisor. The Ichimoku is multi-faceted, however for this article, we are relying on it primarily for its ability to define support and resistance levels. Meanwhile, we also use the ADX to define our trend. As usual, we use the MQL5 wizard to build and test any potential these two may possess.
preview
Population optimization algorithms: Invasive Weed Optimization (IWO)

Population optimization algorithms: Invasive Weed Optimization (IWO)

The amazing ability of weeds to survive in a wide variety of conditions has become the idea for a powerful optimization algorithm. IWO is one of the best algorithms among the previously reviewed ones.
preview
DoEasy. Controls (Part 20): SplitContainer WinForms object

DoEasy. Controls (Part 20): SplitContainer WinForms object

In the current article, I will start developing the SplitContainer control from the MS Visual Studio toolkit. This control consists of two panels separated by a vertical or horizontal movable separator.
preview
Moving to MQL5 Algo Forge (Part 1): Creating the Main Repository

Moving to MQL5 Algo Forge (Part 1): Creating the Main Repository

When working on projects in MetaEditor, developers often face the need to manage code versions. MetaQuotes recently announced migration to GIT and the launch of MQL5 Algo Forge with code versioning and collaboration capabilities. In this article, we will discuss how to use the new and previously existing tools more efficiently.
preview
Building an Object-Oriented FVG Scanner in MQL5

Building an Object-Oriented FVG Scanner in MQL5

Create an object-oriented fair value gap (FVG) scanner in MQL5 and display liquidity gaps directly on a MetaTrader 5 chart, this article formalizes the imbalance geometry based on three candlesticks, synchronizes OHLC arrays with CopyRates, manages rectangles without leaks, and monitors mitigation in real time. It also shows how to integrate this class into an Expert Advisor with a strict new bar filter for stable and efficient execution.