MQL5 Cookbook: The History of Deals And Function Library for Getting Position Properties
It is time to briefly summarize the information provided in the previous articles on position properties. In this article, we will create a few additional functions to get the properties that can only be obtained after accessing the history of deals. We will also get familiar with data structures that will allow us to access position and symbol properties in a more convenient way.
Cross-Platform Expert Advisor: The CExpertAdvisor and CExpertAdvisors Classes
This article deals primarily with the classes CExpertAdvisor and CExpertAdvisors, which serve as the container for all the other components described in this article-series regarding cross-platform expert advisors.
Universal Expert Advisor: the Event Model and Trading Strategy Prototype (Part 2)
This article continues the series of publications on a universal Expert Advisor model. This part describes in detail the original event model based on centralized data processing, and considers the structure of the CStrategy base class of the engine.
Can Heiken-Ashi Combined With Moving Averages Provide Good Signals Together?
Combinations of strategies may offer better opportunities. We can combine indicators or patterns together, or even better, indicators with patterns, so that we get an extra confirmation factor. Moving averages help us confirm and ride the trend. They are the most known technical indicators and this is because of their simplicity and their proven track record of adding value to analyses.
Simulink: a Guide for the Developers of Expert Advisors
I am not a professional programmer. And thus, the principle of "going from the simple to the complex" is of primary importance to me when I am working on trading system development. What exactly is simple for me? First of all, it is the visualization of the process of creating the system, and the logic of its work. Also, it is a minimum of handwritten code. In this article, I will attempt to create and test the trading system, based on a Matlab package, and then write an Expert Advisor for MetaTrader 5. The historical data from MetaTrader 5 will be used for the testing process.
Liquid Chart
Would you like to see an hourly chart with bars opening from the second and the fifth minute of the hour? What does a redrawn chart look like when the opening time of bars is changing every minute? What advantages does trading on such charts have? You will find answers to these questions in this article.
Another MQL5 OOP Class
This article shows you how to build an Object-Oriented Expert Advisor from scratch, from conceiving a theoretical trading idea to programming a MQL5 EA that makes that idea real in the empirical world. Learning by doing is IMHO a solid approach to succeed, so I am showing a practical example in order for you to see how you can order your ideas to finally code your Forex robots. My goal is also to invite you to adhere the OO principles.
Making charts more interesting: Adding a background
Many workstations contain some representative image which shows something about the user. These images make the working environment more beautiful and exciting. Let's see how to make the charts more interesting by adding a background.
Automating Trading Strategies in MQL5 (Part 36): Supply and Demand Trading with Retest and Impulse Model
In this article, we create a supply and demand trading system in MQL5 that identifies supply and demand zones through consolidation ranges, validates them with impulsive moves, and trades retests with trend confirmation and customizable risk parameters. The system visualizes zones with dynamic labels and colors, supporting trailing stops for risk management.
Scalping Orderflow for MQL5
This MetaTrader 5 Expert Advisor implements a Scalping OrderFlow strategy with advanced risk management. It uses multiple technical indicators to identify trading opportunities based on order flow imbalances. Backtesting shows potential profitability but highlights the need for further optimization, especially in risk management and trade outcome ratios. Suitable for experienced traders, it requires thorough testing and understanding before live deployment.
Creating an MQL5 Expert Advisor Based on the Daily Range Breakout Strategy
In this article, we create an MQL5 Expert Advisor based on the Daily Range Breakout strategy. We cover the strategy’s key concepts, design the EA blueprint, and implement the breakout logic in MQL5. In the end, we explore techniques for backtesting and optimizing the EA to maximize its effectiveness.
Graphical Interfaces X: Text selection in the Multiline Text box (build 13)
This article will implement the ability to select text using various key combinations and deletion of the selected text, similar to the way it is done in any other text editor. In addition, we will continue to optimize the code and prepare the classes to move on to the final process of the second stage of the library's evolution, where all controls will be rendered as separate images (canvases).
Creating an MQL5-Telegram Integrated Expert Advisor (Part 1): Sending Messages from MQL5 to Telegram
In this article, we create an Expert Advisor (EA) in MQL5 to send messages to Telegram using a bot. We set up the necessary parameters, including the bot's API token and chat ID, and then perform an HTTP POST request to deliver the messages. Later, we handle the response to ensure successful delivery and troubleshoot any issues that arise in case of failure. This ensures we send messages from MQL5 to Telegram via the created bot.
MQL5 Cookbook: Developing a Framework for a Trading System Based on the Triple Screen Strategy
In this article, we will develop a framework for a trading system based on the Triple Screen strategy in MQL5. The Expert Advisor will not be developed from scratch. Instead, we will simply modify the program from the previous article "MQL5 Cookbook: Using Indicators to Set Trading Conditions in Expert Advisors" which already substantially serves our purpose. So the article will also demonstrate how you can easily modify patterns of ready-made programs.
Graphical Interfaces II: the Menu Item Element (Chapter 1)
In the second part of the series, we will show in detail the development of such interface elements as main menu and context menu. We will also mention drawing elements and create a special class for it. We will discuss in depth such question as managing program events including custom ones.
Using Layouts and Containers for GUI Controls: The CBox Class
This article presents an alternative method of GUI creation based on layouts and containers, using one layout manager — the CBox class. The CBox class is an auxiliary control that acts as a container for essential controls in a GUI panel. It can make designing graphical panels easier, and in some cases, reduce coding time.
Build Self Optmising Expert Advisors in MQL5
Build expert advisors that look forward and adjust themselves to any market.
Creating an EA that works automatically (Part 02): Getting started with the code
Today we'll see how to create an Expert Advisor that simply and safely works in automatic mode. In the previous article, we discussed the first steps that anyone needs to understand before proceeding to creating an Expert Advisor that trades automatically. We considered the concepts and the structure.
Graphical Interfaces VI: the Slider and the Dual Slider Controls (Chapter 2)
In the previous article, we have enriched our library with four controls frequently used in graphical interfaces: checkbox, edit, edit with checkbox and check combobox. The second chapter of the sixth part will be dedicated to the slider and the dual slider controls.
Graphical Interfaces VI: the Checkbox Control, the Edit Control and their Mixed Types (Chapter 1)
This article is the beginning of the sixth part of the series dedicated to the development of the library for creating graphical interfaces in the MetaTrader terminals. In the first chapter, we are going to discuss the checkbox control, the edit control and their mixed types.
MQL5 Cookbook: Writing the History of Deals to a File and Creating Balance Charts for Each Symbol in Excel
When communicating in various forums, I often used examples of my test results displayed as screenshots of Microsoft Excel charts. I have many times been asked to explain how such charts can be created. Finally, I now have some time to explain it all in this article.
Universal Expert Advisor: Trading in a Group and Managing a Portfolio of Strategies (Part 4)
In the last part of the series of articles about the CStrategy trading engine, we will consider simultaneous operation of multiple trading algorithms, will learn to load strategies from XML files, and will present a simple panel for selecting Expert Advisors from a single executable module, and managing their trading modes.
CatBoost machine learning algorithm from Yandex with no Python or R knowledge required
The article provides the code and the description of the main stages of the machine learning process using a specific example. To obtain the model, you do not need Python or R knowledge. Furthermore, basic MQL5 knowledge is enough — this is exactly my level. Therefore, I hope that the article will serve as a good tutorial for a broad audience, assisting those interested in evaluating machine learning capabilities and in implementing them in their programs.
Graphical interfaces X: Advanced management of lists and tables. Code optimization (build 7)
The library code needs to be optimized: it should be more regularized, which is — more readable and comprehensible for studying. In addition, we will continue to develop the controls created previously: lists, tables and scrollbars.
Using JSON Data API in your MQL projects
Imagine that you can use data that is not found in MetaTrader, you only get data from indicators by price analysis and technical analysis. Now imagine that you can access data that will take your trading power steps higher. You can multiply the power of the MetaTrader software if you mix the output of other software, macro analysis methods, and ultra-advanced tools through the API data. In this article, we will teach you how to use APIs and introduce useful and valuable API data services.
Neural networks made easy (Part 11): A take on GPT
Perhaps one of the most advanced models among currently existing language neural networks is GPT-3, the maximal variant of which contains 175 billion parameters. Of course, we are not going to create such a monster on our home PCs. However, we can view which architectural solutions can be used in our work and how we can benefit from them.
How to develop any type of Trailing Stop and connect it to an EA
In this article, we will look at classes for convenient creation of various trailings, as well as learn how to connect a trailing stop to any EA.
Graphical Interfaces VII: The Tabs Control (Chapter 2)
The first chapter of seventh part introduced three classes of controls for creating tables: text label table (CLabelsTable), edit box table (CTable) and rendered table (CCanvasTable). In this article (chapter two) we are going to consider the Tabs control.
Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (MASA)
I invite you to get acquainted with the Multi-Agent Self-Adaptive (MASA) framework, which combines reinforcement learning and adaptive strategies, providing a harmonious balance between profitability and risk management in turbulent market conditions.
Developing a trading Expert Advisor from scratch (Part 7): Adding Volume at Price (I)
This is one of the most powerful indicators currently existing. Anyone who trades trying to have a certain degree of confidence must have this indicator on their chart. Most often the indicator is used by those who prefer “tape reading” while trading. Also, this indicator can be utilized by those who use only Price Action while trading.
Creating an Interactive Graphical User Interface in MQL5 (Part 1): Making the Panel
This article explores the fundamental steps in crafting and implementing a Graphical User Interface (GUI) panel using MetaQuotes Language 5 (MQL5). Custom utility panels enhance user interaction in trading by simplifying common tasks and visualizing essential trading information. By creating custom panels, traders can streamline their workflow and save time during trading operations.
Automating Trading Strategies in MQL5 (Part 7): Building a Grid Trading EA with Dynamic Lot Scaling
In this article, we build a grid trading expert advisor in MQL5 that uses dynamic lot scaling. We cover the strategy design, code implementation, and backtesting process. Finally, we share key insights and best practices for optimizing the automated trading system.
Graphical Interfaces X: Time control, List of checkboxes control and table sorting (build 6)
Development of the library for creating graphical interfaces continues. The Time and List of checkboxes controls will be covered this time. In addition, the CTable class now provides the ability to sort data in ascending or descending order.
MQL5 Cookbook: ОСО Orders
Any trader's trading activity involves various mechanisms and interrelationships including relations among orders. This article suggests a solution of OCO orders processing. Standard library classes are extensively involved, as well as new data types are created herein.
Neural networks made easy (Part 12): Dropout
As the next step in studying neural networks, I suggest considering the methods of increasing convergence during neural network training. There are several such methods. In this article we will consider one of them entitled Dropout.
Automating Trading Strategies in MQL5 (Part 8): Building an Expert Advisor with Butterfly Harmonic Patterns
In this article, we build an MQL5 Expert Advisor to detect Butterfly harmonic patterns. We identify pivot points and validate Fibonacci levels to confirm the pattern. We then visualize the pattern on the chart and automatically execute trades when confirmed.
MQL5 Cookbook: Developing a Multi-Currency Expert Advisor with Unlimited Number of Parameters
In this article, we will create a pattern that uses a single set of parameters for optimization of a trading system, while allowing for unlimited number of parameters. The list of symbols will be created in a standard text file (*.txt). Input parameters for each symbol will also be stored in files. This way we will be able to circumvent the restriction of the terminal on the number of input parameters of an Expert Advisor.
From Novice to Expert: Higher Probability Signals
In high-probability support and resistance zones, valid entry confirmation signals are always present once the zone has been correctly identified. In this discussion, we build an intelligent MQL5 program that automatically detects entry conditions within these zones. We leverage well-known candlestick patterns alongside native confirmation indicators to validate trade decisions. Click to read further.
Implementing a Bollinger Bands Trading Strategy with MQL5: A Step-by-Step Guide
A step-by-step guide to implementing an automated trading algorithm in MQL5 based on the Bollinger Bands trading strategy. A detailed tutorial based on creating an Expert Advisor that can be useful for traders.
Cross-Platform Expert Advisor: Stops
This article discusses an implementation of stop levels in an expert advisor in order to make it compatible with the two platforms MetaTrader 4 and MetaTrader 5.