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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Developing Pivot Mean Oscillator: a novel Indicator for the Cumulative Moving Average
Developing Pivot Mean Oscillator: a novel Indicator for the Cumulative Moving Average

Developing Pivot Mean Oscillator: a novel Indicator for the Cumulative Moving Average

This article presents Pivot Mean Oscillator (PMO), an implementation of the cumulative moving average (CMA) as a trading indicator for the MetaTrader platforms. In particular, we first introduce Pivot Mean (PM) as a normalization index for timeseries that computes the fraction between any data point and the CMA. We then build PMO as the difference between the moving averages applied to two PM signals. Some preliminary experiments carried out on the EURUSD symbol to test the efficacy of the proposed indicator are also reported, leaving ample space for further considerations and improvements.
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Price Action Analysis Toolkit Development (Part 33): Candle Range Theory Tool

Price Action Analysis Toolkit Development (Part 33): Candle Range Theory Tool

Upgrade your market reading with the Candle-Range Theory suite for MetaTrader 5, a fully MQL5-native solution that converts raw price bars into real-time volatility intelligence. The lightweight CRangePattern library benchmarks each candle’s true range against an adaptive ATR and classifies it the instant it closes; the CRT Indicator then projects those classifications on your chart as crisp, color-coded rectangles and arrows that reveal tightening consolidations, explosive breakouts, and full-range engulfment the moment they occur.
Cross-Platform Expert Advisor: Signals
Cross-Platform Expert Advisor: Signals

Cross-Platform Expert Advisor: Signals

This article discusses the CSignal and CSignals classes which will be used in cross-platform expert advisors. It examines the differences between MQL4 and MQL5 on how particular data needed for evaluation of trade signals are accessed to ensure that the code written will be compatible with both compilers.
Controlled optimization: Simulated annealing
Controlled optimization: Simulated annealing

Controlled optimization: Simulated annealing

The Strategy Tester in the MetaTrader 5 trading platform provides only two optimization options: complete search of parameters and genetic algorithm. This article proposes a new method for optimizing trading strategies — Simulated annealing. The method's algorithm, its implementation and integration into any Expert Advisor are considered. The developed algorithm is tested on the Moving Average EA.
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Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI

Continuous Walk-Forward Optimization (Part 5): Auto Optimizer project overview and creation of a GUI

This article provides further description of the walk-forward optimization in the MetaTrader 5 terminal. In previous articles, we considered methods for generating and filtering the optimization report and started analyzing the internal structure of the application responsible for the optimization process. The Auto Optimizer is implemented as a C# application and it has its own graphical interface. The fifth article is devoted to the creation of this graphical interface.
Risk Evaluation in the Sequence of Deals with One Asset. Continued
Risk Evaluation in the Sequence of Deals with One Asset. Continued

Risk Evaluation in the Sequence of Deals with One Asset. Continued

The article develops the ideas proposed in the previous part and considers them further. It describes the problems of yield distributions, plotting and studying statistical regularities.
Using indicators for optimizing Expert Advisors in real time
Using indicators for optimizing Expert Advisors in real time

Using indicators for optimizing Expert Advisors in real time

Efficiency of any trading robot depends on the correct selection of its parameters (optimization). However, parameters that are considered optimal for one time interval may not retain their effectiveness in another period of trading history. Besides, EAs showing profit during tests turn out to be loss-making in real time. The issue of continuous optimization comes to the fore here. When facing plenty of routine work, humans always look for ways to automate it. In this article, I propose a non-standard approach to solving this issue.
Graphical Interfaces I: Form for Controls (Chapter 2)
Graphical Interfaces I: Form for Controls (Chapter 2)

Graphical Interfaces I: Form for Controls (Chapter 2)

In this article we will create the first and main element of the graphical interface - a form for controls. Multiple controls can be attached to this form anywhere and in any combination.
Graphical Interfaces III: Simple and Multi-Functional Buttons (Chapter 1)
Graphical Interfaces III: Simple and Multi-Functional Buttons (Chapter 1)

Graphical Interfaces III: Simple and Multi-Functional Buttons (Chapter 1)

Let us consider the button control. We will discuss examples of several classes for creating a simple button, buttons with extended functionality (icon button and split button) and interconnected buttons (button groups and radio button). Added to that, we will introduce some additions to existing classes for controls to broaden their capability.
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Custom Indicators (Part 1): A Step-by-Step Introductory Guide to Developing Simple Custom Indicators in MQL5

Custom Indicators (Part 1): A Step-by-Step Introductory Guide to Developing Simple Custom Indicators in MQL5

Learn how to create custom indicators using MQL5. This introductory article will guide you through the fundamentals of building simple custom indicators and demonstrate a hands-on approach to coding different custom indicators for any MQL5 programmer new to this interesting topic.
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How to use ONNX models in MQL5

How to use ONNX models in MQL5

ONNX (Open Neural Network Exchange) is an open format built to represent machine learning models. In this article, we will consider how to create a CNN-LSTM model to forecast financial timeseries. We will also show how to use the created ONNX model in an MQL5 Expert Advisor.
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Introduction to MQL5 (Part 23): Automating Opening Range Breakout Strategy

Introduction to MQL5 (Part 23): Automating Opening Range Breakout Strategy

This article explores how to build an Opening Range Breakout (ORB) Expert Advisor in MQL5. It explains how the EA identifies breakouts from the market’s initial range and opens trades accordingly. You’ll also learn how to control the number of positions opened and set a specific cutoff time to stop trading automatically.
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How to master Machine Learning

How to master Machine Learning

Check out this selection of useful materials which can assist traders in improving their algorithmic trading knowledge. The era of simple algorithms is passing, and it is becoming harder to succeed without the use of Machine Learning techniques and Neural Networks.
How to copy signals using an EA by your rules?
How to copy signals using an EA by your rules?

How to copy signals using an EA by your rules?

When you subscribe to signals, such situation may occur: your trade account has a leverage of 1:100, the provider has a leverage of 1:500 and trades using the minimal lot, and your trade balances are virtually equal — but the copy ratio will comprise only 10% to 15%. This article describes how to increase the copy rate in such cases.
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Developing Advanced ICT Trading Systems: Implementing Order Blocks in an Indicator

Developing Advanced ICT Trading Systems: Implementing Order Blocks in an Indicator

In this article, we will learn how to create an indicator that detects, draws, and alerts on the mitigation of order blocks. We will also take a detailed look at how to identify these blocks on the chart, set accurate alerts, and visualize their position using rectangles to better understand the price action. This indicator will serve as a key tool for traders who follow the Smart Money Concepts and the Inner Circle Trader methodology.
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Continuous Walk-Forward Optimization (Part 2): Mechanism for creating an optimization report for any robot

Continuous Walk-Forward Optimization (Part 2): Mechanism for creating an optimization report for any robot

The first article within the Walk-Through Optimization series described the creation of a DLL to be used in our auto optimizer. This continuation is entirely devoted to the MQL5 language.
Use MQL5.community channels and group chats
Use MQL5.community channels and group chats

Use MQL5.community channels and group chats

The MQL5.com website brings together traders from all over the world. Users publish articles, share free codes, sell products in the Market, perform Freelance orders and copy trading signals. You can communicate with them on the Forum, in trader chats and in MetaTrader channels.
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Automating Trading Strategies in MQL5 (Part 45): Inverse Fair Value Gap (IFVG)

Automating Trading Strategies in MQL5 (Part 45): Inverse Fair Value Gap (IFVG)

In this article, we create an Inverse Fair Value Gap (IFVG) detection system in MQL5 that identifies bullish/bearish FVGs on recent bars with minimum gap size filtering, tracks their states as normal/mitigated/inverted based on price interactions (mitigation on far-side breaks, retracement on re-entry, inversion on close beyond far side from inside), and ignores overlaps while limiting tracked FVGs.
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Price Action Analysis Toolkit Development (Part 62): Building an Adaptive Parallel Channel Detection and Breakout System in MQL5

Price Action Analysis Toolkit Development (Part 62): Building an Adaptive Parallel Channel Detection and Breakout System in MQL5

This article presents an adaptive parallel channel detection and breakout system in MQL5. It explains how swing points are identified, channels are constructed and dynamically recalculated, and breakouts are confirmed and visualized with persistent signals. The framework integrates trendline geometry, ATR-based filtering, and retest validation to provide reliable, real-time price action analysis for professional charting and trading decisions.
Color optimization of trading strategies
Color optimization of trading strategies

Color optimization of trading strategies

In this article we will perform an experiment: we will color optimization results. The color is determined by three parameters: the levels of red, green and blue (RGB). There are other color coding methods, which also use three parameters. Thus, three testing parameters can be converted to one color, which visually represents the values. Read this article to find out if such a representation can be useful.
Secrets of MetaTrader 4 Client Terminal: Alerting System
Secrets of MetaTrader 4 Client Terminal: Alerting System

Secrets of MetaTrader 4 Client Terminal: Alerting System

How to be aware of what happens in the terminal and on your account without permanent looking at the monitor. System events; custom events; wave and executable files; electronic messages; setting up SMTP server access; publications; setting up FTP server access.
Applying Monte Carlo method in reinforcement learning
Applying Monte Carlo method in reinforcement learning

Applying Monte Carlo method in reinforcement learning

In the article, we will apply Reinforcement learning to develop self-learning Expert Advisors. In the previous article, we considered the Random Decision Forest algorithm and wrote a simple self-learning EA based on Reinforcement learning. The main advantages of such an approach (trading algorithm development simplicity and high "training" speed) were outlined. Reinforcement learning (RL) is easily incorporated into any trading EA and speeds up its optimization.
Multiple Regression Analysis. Strategy Generator and Tester in One
Multiple Regression Analysis. Strategy Generator and Tester in One

Multiple Regression Analysis. Strategy Generator and Tester in One

The article gives a description of ways of use of the multiple regression analysis for development of trading systems. It demonstrates the use of the regression analysis for strategy search automation. A regression equation generated and integrated in an EA without requiring high proficiency in programming is given as an example.
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Creating an EA that works automatically (Part 01): Concepts and structures

Creating an EA that works automatically (Part 01): Concepts and structures

Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode.
Library for easy and quick development of MetaTrader programs (part XXV): Handling errors returned by the trade server
Library for easy and quick development of MetaTrader programs (part XXV): Handling errors returned by the trade server

Library for easy and quick development of MetaTrader programs (part XXV): Handling errors returned by the trade server

After we send a trading order to the server, we need to check the error codes or the absence of errors. In this article, we will consider handling errors returned by the trade server and prepare for creating pending trading requests.
The power of ZigZag (part I). Developing the base class of the indicator
The power of ZigZag (part I). Developing the base class of the indicator

The power of ZigZag (part I). Developing the base class of the indicator

Many researchers do not pay enough attention to determining the price behavior. At the same time, complex methods are used, which very often are simply “black boxes”, such as machine learning or neural networks. The most important question arising in that case is what data to submit for training a particular model.
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Learn how to design a trading system by Ichimoku

Learn how to design a trading system by Ichimoku

Here is a new article in our series about how to design a trading system b the most popular indicators, we will talk about the Ichimoku indicator in detail and how to design a trading system by this indicator.
Gap - a profitable strategy or 50/50?
Gap - a profitable strategy or 50/50?

Gap - a profitable strategy or 50/50?

The article dwells on gaps — significant differences between a close price of a previous timeframe and an open price of the next one, as well as on forecasting a daily bar direction. Applying the GetOpenFileName function by the system DLL is considered as well.
R-squared as an estimation of quality of the strategy balance curve
R-squared as an estimation of quality of the strategy balance curve

R-squared as an estimation of quality of the strategy balance curve

This article describes the construction of the custom optimization criterion R-squared. This criterion can be used to estimate the quality of a strategy's balance curve and to select the most smoothly growing and stable strategies. The work discusses the principles of its construction and statistical methods used in estimation of properties and quality of this metric.
Mini Market Emulator or Manual Strategy Tester
Mini Market Emulator or Manual Strategy Tester

Mini Market Emulator or Manual Strategy Tester

Mini Market Emulator is an indicator designed for partial emulation of work in the terminal. Presumably, it can be used to test "manual" strategies of market analysis and trading.
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Price Action Analysis Toolkit Development (Part 48): Multi-Timeframe Harmony Index with Weighted Bias Dashboard

Price Action Analysis Toolkit Development (Part 48): Multi-Timeframe Harmony Index with Weighted Bias Dashboard

This article introduces the “Multi-Timeframe Harmony Index”—an advanced Expert Advisor for MetaTrader 5 that calculates a weighted bias from multiple timeframes, smooths the readings using EMA, and displays the results in a clean chart panel dashboard. It includes customizable alerts and automatic buy/sell signal plotting when strong bias thresholds are crossed. Suitable for traders who use multi-timeframe analysis to align entries with overall market structure.
Parsing HTML with curl
Parsing HTML with curl

Parsing HTML with curl

The article provides the description of a simple HTML code parsing library using third-party components. In particular, it covers the possibilities of accessing data which cannot be retrieved using GET and POST requests. We will select a website with not too large pages and will try to obtain interesting data from this site.
Practical application of neural networks in trading
Practical application of neural networks in trading

Practical application of neural networks in trading

In this article, we will consider the main aspects of integration of neural networks and the trading terminal, with the purpose of creating a fully featured trading robot.
MQL5 Wizard: Placing Orders, Stop-Losses and Take Profits on Calculated Prices. Standard Library Extension
MQL5 Wizard: Placing Orders, Stop-Losses and Take Profits on Calculated Prices. Standard Library Extension

MQL5 Wizard: Placing Orders, Stop-Losses and Take Profits on Calculated Prices. Standard Library Extension

This article describes the MQL5 Standard Library extension, which allows to create Expert Advisors, place orders, Stop Losses and Take Profits using the MQL5 Wizard by the prices received from included modules. This approach does not apply any additional restrictions on the number of modules and does not cause conflicts in their joint work.
Analyzing trading results using HTML reports
Analyzing trading results using HTML reports

Analyzing trading results using HTML reports

The MetaTrader 5 platform features functionality for saving trading reports, as well as Expert Advisor testing and optimization reports. Trading and testing reports can be saved in two formats: XLSX and HTML, while the optimization report can be saved in XML. In this article we consider the HTML testing report, the XML optimization report and the HTML trading history report.
Limitations and Verifications in Expert Advisors
Limitations and Verifications in Expert Advisors

Limitations and Verifications in Expert Advisors

Is it allowed to trade this symbol on Monday? Is there enough money to open position? How big is the loss if Stop Loss triggers? How to limit the number of pending orders? Was the trade operation executed at the current bar or at the previous one? If a trade robot cannot perform this kind of verifications, then any trade strategy can turn into a losing one. This article shows the examples of verifications that are useful in any Expert Advisor.
Creating an Expert Advisor, which Trades on a Number of Instruments
Creating an Expert Advisor, which Trades on a Number of Instruments

Creating an Expert Advisor, which Trades on a Number of Instruments

The concept of diversification of assets on financial markets is quiet old, and has always attracted beginner traders. In this article, the author proposes a maximally simple approach to a construction of a multi-currency Expert Advisor, for an initial introduction to this direction of trading strategies.
Manual charting and trading toolkit (Part I). Preparation: structure description and helper class
Manual charting and trading toolkit (Part I). Preparation: structure description and helper class

Manual charting and trading toolkit (Part I). Preparation: structure description and helper class

This is the first article in a series, in which I am going to describe a toolkit which enables manual application of chart graphics by utilizing keyboard shortcuts. It is very convenient: you press one key and a trendline appears, you press another key — this will create a Fibonacci fan with the necessary parameters. It will also be possible to switch timeframes, to rearrange layers or to delete all objects from the chart.
Better Programmer (Part 02): Stop doing these 5 things to become a successful MQL5 programmer
Better Programmer (Part 02): Stop doing these 5 things to become a successful MQL5 programmer

Better Programmer (Part 02): Stop doing these 5 things to become a successful MQL5 programmer

This is the must read article for anyone wanting to improve their programming career. This article series is aimed at making you the best programmer you can possibly be, no matter how experienced you are. The discussed ideas work for MQL5 programming newbies as well as professionals.
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Automating Trading Strategies in MQL5 (Part 11): Developing a Multi-Level Grid Trading System

Automating Trading Strategies in MQL5 (Part 11): Developing a Multi-Level Grid Trading System

In this article, we develop a multi-level grid trading system EA using MQL5, focusing on the architecture and algorithm design behind grid trading strategies. We explore the implementation of multi-layered grid logic and risk management techniques to handle varying market conditions. Finally, we provide detailed explanations and practical tips to guide you through building, testing, and refining the automated trading system.