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
Filtering and feature extraction in the frequency domain

Filtering and feature extraction in the frequency domain

In this article we explore the application of digital filters on time series represented in the frequency domain so as to extract unique features that may be useful to prediction models.
preview
Volumetric neural network analysis as a key to future trends

Volumetric neural network analysis as a key to future trends

The article explores the possibility of improving price forecasting based on trading volume analysis by integrating technical analysis principles with LSTM neural network architecture. Particular attention is paid to the detection and interpretation of anomalous volumes, the use of clustering and the creation of features based on volumes and their definition in the context of machine learning.
preview
Creating Custom Indicators in MQL5 (Part 9): Order Flow Footprint Chart with Price Level Volume Tracking

Creating Custom Indicators in MQL5 (Part 9): Order Flow Footprint Chart with Price Level Volume Tracking

This article builds an order-flow footprint indicator in MQL5 that aggregates tick-by-tick volume into quantized price levels and supports Bid vs Ask and Delta display modes. A canvas overlay renders color-scaled volume text aligned with the candles and updates on every tick. You will learn sorting of price levels, max-value normalization for color mapping, and responsive redraws on zoom, scroll, and resize to read volume distribution and aggressor dominance inside each bar.
preview
Developing a trading Expert Advisor from scratch (Part 17): Accessing data on the web (III)

Developing a trading Expert Advisor from scratch (Part 17): Accessing data on the web (III)

In this article we continue considering how to obtain data from the web and to use it in an Expert Advisor. This time we will proceed to developing an alternative system.
preview
Artificial Algae Algorithm (AAA)

Artificial Algae Algorithm (AAA)

The article considers the Artificial Algae Algorithm (AAA) based on biological processes characteristic of microalgae. The algorithm includes spiral motion, evolutionary process and adaptation, which allows it to solve optimization problems. The article provides an in-depth analysis of the working principles of AAA and its potential in mathematical modeling, highlighting the connection between nature and algorithmic solutions.
preview
Building a Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (III)

Building a Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (III)

Welcome to the third installment of our trend series! Today, we’ll delve into the use of divergence as a strategy for identifying optimal entry points within the prevailing daily trend. We’ll also introduce a custom profit-locking mechanism, similar to a trailing stop-loss, but with unique enhancements. In addition, we’ll upgrade the Trend Constraint Expert to a more advanced version, incorporating a new trade execution condition to complement the existing ones. As we move forward, we’ll continue to explore the practical application of MQL5 in algorithmic development, providing you with more in-depth insights and actionable techniques.
preview
Gain An Edge Over Any Market (Part V): FRED EURUSD Alternative Data

Gain An Edge Over Any Market (Part V): FRED EURUSD Alternative Data

In today’s discussion, we used alternative Daily data from the St. Louis Federal Reserve on the Broad US-Dollar Index and a collection of other macroeconomic indicators to predict the EURUSD future exchange rate. Unfortunately, while the data appears to have almost perfect correlation, we failed to realize any material gains in our model accuracy, possibly suggesting to us that investors may be better off using ordinary market quotes instead.
preview
Timeseries in DoEasy library (part 52): Cross-platform nature of multi-period multi-symbol  single-buffer standard indicators

Timeseries in DoEasy library (part 52): Cross-platform nature of multi-period multi-symbol single-buffer standard indicators

In the article, consider creation of multi-symbol multi-period standard indicator Accumulation/Distribution. Slightly improve library classes with respect to indicators so that, the programs developed for outdated platform MetaTrader 4 based on this library could work normally when switching over to MetaTrader 5.
preview
The Parafrac V2 Oscillator: Integrating Parabolic SAR with Average True Range

The Parafrac V2 Oscillator: Integrating Parabolic SAR with Average True Range

The Parafrac V2 Oscillator is an advanced technical analysis tool that integrates the Parabolic SAR with the Average True Range (ATR) to overcome limitations of its predecessor, which relied on fractals and was prone to signal spikes overshadowing previous and current signals. By leveraging ATR’s volatility measure, the version 2 offers a smoother, more reliable method for detecting trends, reversals, and divergences, helping traders reduce chart congestion and analysis paralysis.
preview
Advanced Memory Management and Optimization Techniques in MQL5

Advanced Memory Management and Optimization Techniques in MQL5

Discover practical techniques to optimize memory usage in MQL5 trading systems. Learn to build efficient, stable, and fast-performing Expert Advisors and indicators. We’ll explore how memory really works in MQL5, the common traps that slow your systems down or cause them to fail, and — most importantly — how to fix them.
preview
Developing a Trading System Based on the Order Book (Part I): Indicator

Developing a Trading System Based on the Order Book (Part I): Indicator

Depth of Market is undoubtedly a very important element for executing fast trades, especially in High Frequency Trading (HFT) algorithms. In this series of articles, we will look at this type of trading events that can be obtained through a broker on many tradable symbols. We will start with an indicator, where you can customize the color palette, position and size of the histogram displayed directly on the chart. We will also look at how to generate BookEvent events to test the indicator under certain conditions. Other possible topics for future articles include how to store price distribution data and how to use it in a strategy tester.
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
Integrate Your Own LLM into EA (Part 1): Hardware and Environment Deployment

Integrate Your Own LLM into EA (Part 1): Hardware and Environment Deployment

With the rapid development of artificial intelligence today, language models (LLMs) are an important part of artificial intelligence, so we should think about how to integrate powerful LLMs into our algorithmic trading. For most people, it is difficult to fine-tune these powerful models according to their needs, deploy them locally, and then apply them to algorithmic trading. This series of articles will take a step-by-step approach to achieve this goal.
Interview with Mariusz Zarnowski (ATC 2012)
Interview with Mariusz Zarnowski (ATC 2012)

Interview with Mariusz Zarnowski (ATC 2012)

As December 28 is approaching, the list of leaders of the Automated Trading Championship 2012 is becoming clearer. With only two weeks to go until the end of the Championship, Mariusz Zarnowski (zrn) from Poland stands a good chance to be in the top three. His EA has already demonstrated how it can triple the initial deposit in just a couple of weeks.
preview
Larry Williams Market Secrets (Part 13): Automating Hidden Smash Day Reversal Patterns

Larry Williams Market Secrets (Part 13): Automating Hidden Smash Day Reversal Patterns

The article builds a transparent MQL5 Expert Advisor for Larry Williams’ hidden smash day reversals. Signals are generated only on new bars: a setup bar is validated, then confirmed when the next session trades beyond its extreme. Risk is managed via ATR or structural stops with a defined risk-to-reward, position sizing can be fixed or balance-based, and direction filters plus a one-position policy ensure reproducible tests.
preview
DoEasy. Controls (Part 9): Re-arranging WinForms object methods, RadioButton and Button controls

DoEasy. Controls (Part 9): Re-arranging WinForms object methods, RadioButton and Button controls

In this article, I will fix the names of WinForms object class methods and create Button and RadioButton WinForms objects.
preview
Cyclic Parthenogenesis Algorithm (CPA)

Cyclic Parthenogenesis Algorithm (CPA)

The article considers a new population optimization algorithm - Cyclic Parthenogenesis Algorithm (CPA), inspired by the unique reproductive strategy of aphids. The algorithm combines two reproduction mechanisms — parthenogenesis and sexual reproduction — and also utilizes the colonial structure of the population with the possibility of migration between colonies. The key features of the algorithm are adaptive switching between different reproductive strategies and a system of information exchange between colonies through the flight mechanism.
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
Price Action Analysis Toolkit Development (Part 58): Range Contraction Analysis and Maturity Classification Module

Price Action Analysis Toolkit Development (Part 58): Range Contraction Analysis and Maturity Classification Module

Building on the previous article that introduced the market state classification module, this installment focuses on implementing the core logic for identifying and evaluating compression zones. It presents a range contraction detection and maturity grading system in MQL5 that analyzes market congestion using price action alone.
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
Introduction to MQL5 (Part 13): A Beginner's Guide to Building Custom Indicators (II)

Introduction to MQL5 (Part 13): A Beginner's Guide to Building Custom Indicators (II)

This article guides you through building a custom Heikin Ashi indicator from scratch and demonstrates how to integrate custom indicators into an EA. It covers indicator calculations, trade execution logic, and risk management techniques to enhance automated trading strategies.
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
Graphics in DoEasy library (Part 99): Moving an extended graphical object using a single control point

Graphics in DoEasy library (Part 99): Moving an extended graphical object using a single control point

In the previous article, I implemented the ability to move pivot points of an extended graphical object using control forms. Now I am going to implement the ability to move a composite graphical object using a single graphical object control point (form).
preview
Build Self Optimizing Expert Advisors in MQL5 (Part 2): USDJPY Scalping Strategy

Build Self Optimizing Expert Advisors in MQL5 (Part 2): USDJPY Scalping Strategy

Join us today as we challenge ourselves to build a trading strategy around the USDJPY pair. We will trade candlestick patterns that are formed on the daily time frame because they potentially have more strength behind them. Our initial strategy was profitable, which encouraged us to continue refining the strategy and adding extra layers of safety, to protect the capital gained.
preview
Chart Synchronization for Easier Technical Analysis

Chart Synchronization for Easier Technical Analysis

Chart Synchronization for Easier Technical Analysis is a tool that ensures all chart timeframes display consistent graphical objects like trendlines, rectangles, or indicators across different timeframes for a single symbol. Actions such as panning, zooming, or symbol changes are mirrored across all synced charts, allowing traders to seamlessly view and compare the same price action context in multiple timeframes.
preview
Graph Theory: Heuristic Search Algorithm (A-Star) Applied in Trading

Graph Theory: Heuristic Search Algorithm (A-Star) Applied in Trading

The article applies the A* heuristic to market structure by modeling validated swing highs and lows as graph nodes and weighting edges with ATR‑normalized distance, spread, and noise penalties. The engine searches the most efficient route to infer trade direction and targets, then filters signals by directional ratio, total path cost, and opposing swings. It anchors TP to the final node and SL to prior structure, with on‑chart visualization and configurable inputs.
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
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.
Interview with Matúš German (ATC 2012)
Interview with Matúš German (ATC 2012)

Interview with Matúš German (ATC 2012)

It's the second time Matúš German participates in the Automated Trading Championship. By the end of the fourth week of ATC 2012 his Expert Advisor has been holding its positions in the TOP-10 having about $30 000. Matúš is from Slovakia, from the little town Bardejov. Matúš is interested in trading for about 5 years and he develops Expert Advisors for 3 years already.
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
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
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.
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.
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
Neural Networks in Trading: Models Using Wavelet Transform and Multi-Task Attention (Final Part)

Neural Networks in Trading: Models Using Wavelet Transform and Multi-Task Attention (Final Part)

In the previous article, we explored the theoretical foundations and began implementing the approaches of the Multitask-Stockformer framework, which combines the wavelet transform and the Self-Attention multitask model. We continue to implement the algorithms of this framework and evaluate their effectiveness on real historical data.
preview
Building A Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (I)

Building A Candlestick Trend Constraint Model (Part 9): Multiple Strategies Expert Advisor (I)

Today, we will explore the possibilities of incorporating multiple strategies into an Expert Advisor (EA) using MQL5. Expert Advisors provide broader capabilities than just indicators and scripts, allowing for more sophisticated trading approaches that can adapt to changing market conditions. Find, more in this article discussion.
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
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
Automating Trading Strategies in MQL5 (Part 28): Creating a Price Action Bat Harmonic Pattern with Visual Feedback

Automating Trading Strategies in MQL5 (Part 28): Creating a Price Action Bat Harmonic Pattern with Visual Feedback

In this article, we develop a Bat Pattern system in MQL5 that identifies bullish and bearish Bat harmonic patterns using pivot points and Fibonacci ratios, triggering trades with precise entry, stop loss, and take-profit levels, enhanced with visual feedback through chart objects