Articles on the MQL5 programming and use of trading robots

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Expert Advisors created for the MetaTrader platform perform a variety of functions implemented by their developers. Trading robots can track financial symbols 24 hours a day, copy deals, create and send reports, analyze news and even provide specific custom graphical interface.

The articles describe programming techniques, mathematical ideas for data processing, tips on creating and ordering of trading robots.

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OpenAI's ChatGPT features within the framework of MQL4 and MQL5 development

OpenAI's ChatGPT features within the framework of MQL4 and MQL5 development

In this article, we will fiddle around ChatGPT from OpenAI in order to understand its capabilities in terms of reducing the time and labor intensity of developing Expert Advisors, indicators and scripts. I will quickly navigate you through this technology and try to show you how to use it correctly for programming in MQL4 and MQL5.
Developing a cross-platform grider EA (part II): Range-based grid in trend direction
Developing a cross-platform grider EA (part II): Range-based grid in trend direction

Developing a cross-platform grider EA (part II): Range-based grid in trend direction

In this article, we will develop a grider EA for trading in a trend direction within a range. Thus, the EA is to be suited mostly for Forex and commodity markets. According to the tests, our grider showed profit since 2018. Unfortunately, this is not true for the period of 2014-2018.
Graphics in DoEasy library (Part 76): Form object and predefined color themes
Graphics in DoEasy library (Part 76): Form object and predefined color themes

Graphics in DoEasy library (Part 76): Form object and predefined color themes

In this article, I will describe the concept of building various library GUI design themes, create the Form object, which is a descendant of the graphical element class object, and prepare data for creating shadows of the library graphical objects, as well as for further development of the functionality.
Statistical Carry Trade Strategy
Statistical Carry Trade Strategy

Statistical Carry Trade Strategy

An algorithm of statistical protection of open positive swap positions from unwanted price movements. This article features a variant of the carry trade protection strategy that allows to compensate for potential risk of the price movement in the direction opposite to that of the open position.
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Creating an EA that works automatically (Part 02): Getting started with the code

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.
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Neural networks made easy (Part 11): A take on GPT

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.
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Learn how to design a trading system by Volumes

Learn how to design a trading system by Volumes

Here is a new article from our series about learning how to design a trading system based on the most popular technical indicators. The current article will be devoted to the Volumes indicator. Volume as a concept is one of the very important factors in financial markets trading and we have to pay attention to it. Through this article, we will learn how to design a simple trading system by Volumes indicator.
How to implement traders' orders and make a profit in the MQL5 Freelance service
How to implement traders' orders and make a profit in the MQL5 Freelance service

How to implement traders' orders and make a profit in the MQL5 Freelance service

MQL5 Freelance is an online service where developers get paid for creating trading applications ordered by traders. Now, traders understand the difference between all the services on MQL5.com: a ready-made Trading Robot can be bought from the MetaTrader Market, while a unique Expert Advisor that trades based on a specific user-defined strategy can be ordered in the Freelance service. Experienced developers compete for traders' order implementation, so that a trader can select the one who offers the best time and cost conditions. Since the launch of the service, traders have paid a total of $600,000 for 10,000 jobs performed
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Developing a trading Expert Advisor from scratch (Part 7): Adding Volume at Price (I)

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.
Cross-Platform Expert Advisor: Stops
Cross-Platform Expert Advisor: Stops

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.
Applying OLAP in trading (part 2): Visualizing the interactive multidimensional data analysis results
Applying OLAP in trading (part 2): Visualizing the interactive multidimensional data analysis results

Applying OLAP in trading (part 2): Visualizing the interactive multidimensional data analysis results

In this article, we consider the creation of an interactive graphical interface for an MQL program, which is designed for the processing of account history and trading reports using OLAP techniques. To obtain a visual result, we will use maximizable and scalable windows, an adaptive layout of rubber controls and a new control for displaying diagrams. To provide the visualization functionality, we will implement a GUI with the selection of variables along coordinate axes, as well as with the selection of aggregate functions, diagram types and sorting options.
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Neural networks made easy (Part 12): Dropout

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.
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Data Science and Machine Learning — Neural Network (Part 02): Feed forward NN Architectures Design

Data Science and Machine Learning — Neural Network (Part 02): Feed forward NN Architectures Design

There are minor things to cover on the feed-forward neural network before we are through, the design being one of them. Let's see how we can build and design a flexible neural network to our inputs, the number of hidden layers, and the nodes for each of the network.
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Learn how to design a trading system by Fractals

Learn how to design a trading system by Fractals

This article is a new one from our series about how to design a trading system based on the most popular technical indicators. We will learn a new indicator which Fractals indicator and we will learn how to design a trading system based on it to be executed in the MetaTrader 5 terminal.
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Learn how to design a trading system by MFI

Learn how to design a trading system by MFI

The new article from our series about designing a trading system based on the most popular technical indicators considers a new technical indicator - the Money Flow Index (MFI). We will learn it in detail and develop a simple trading system by means of MQL5 to execute it in MetaTrader 5.
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Risk and capital management using Expert Advisors

Risk and capital management using Expert Advisors

This article is about what you can not see in a backtest report, what you should expect using automated trading software, how to manage your money if you are using expert advisors, and how to cover a significant loss to remain in the trading activity when you are using automated procedures.
Visualizing trading strategy optimization in MetaTrader 5
Visualizing trading strategy optimization in MetaTrader 5

Visualizing trading strategy optimization in MetaTrader 5

The article implements an MQL application with a graphical interface for extended visualization of the optimization process. The graphical interface applies the last version of EasyAndFast library. Many users may ask why they need graphical interfaces in MQL applications. This article demonstrates one of multiple cases where they can be useful for traders.
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Neural networks made easy (Part 8): Attention mechanisms

Neural networks made easy (Part 8): Attention mechanisms

In previous articles, we have already tested various options for organizing neural networks. We also considered convolutional networks borrowed from image processing algorithms. In this article, I suggest considering Attention Mechanisms, the appearance of which gave impetus to the development of language models.
Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit
Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit

Using the TesterWithdrawal() Function for Modeling the Withdrawals of Profit

This article describes the usage of the TesterWithDrawal() function for estimating risks in trade systems which imply the withdrawing of a certain part of assets during their operation. In addition, it describes the effect of this function on the algorithm of calculation of the drawdown of equity in the strategy tester. This function is useful when optimizing parameter of your Expert Advisors.
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Can Heiken-Ashi Combined With Moving Averages Provide Good Signals Together?

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.
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Learn how to design a trading system by Awesome Oscillator

Learn how to design a trading system by Awesome Oscillator

In this new article in our series, we will learn about a new technical tool that may be useful in our trading. It is the Awesome Oscillator (AO) indicator. We will learn how to design a trading system by this indicator.
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The RSI Deep Three Move Trading Technique

The RSI Deep Three Move Trading Technique

Presenting the RSI Deep Three Move Trading Technique in MetaTrader 5. This article is based on a new series of studies that showcase a few trading techniques based on the RSI, a technical analysis indicator used to measure the strength and momentum of a security, such as a stock, currency, or commodity.
Implementation of Indicators as Classes by Examples of Zigzag and ATR
Implementation of Indicators as Classes by Examples of Zigzag and ATR

Implementation of Indicators as Classes by Examples of Zigzag and ATR

Debate about an optimal way of calculating indicators is endless. Where should we calculate the indicator values - in the indicator itself or embed the entire logic in a Expert Advisor that uses it? The article describes one of the variants of moving the source code of a custom indicator iCustom right in the code of an Expert Advisor or script with optimization of calculations and modeling the prev_calculated value.
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Data Science and Machine Learning — Neural Network (Part 01): Feed Forward Neural Network demystified

Data Science and Machine Learning — Neural Network (Part 01): Feed Forward Neural Network demystified

Many people love them but a few understand the whole operations behind Neural Networks. In this article I will try to explain everything that goes behind closed doors of a feed-forward multi-layer perception in plain English.
Developing a cross-platform grider EA (part III): Correction-based grid with martingale
Developing a cross-platform grider EA (part III): Correction-based grid with martingale

Developing a cross-platform grider EA (part III): Correction-based grid with martingale

In this article, we will make an attempt to develop the best possible grid-based EA. As usual, this will be a cross-platform EA capable of working both with MetaTrader 4 and MetaTrader 5. The first EA was good enough, except that it could not make a profit over a long period of time. The second EA could work at intervals of more than several years. Unfortunately, it was unable to yield more than 50% of profit per year with a maximum drawdown of less than 50%.
The Prototype of a Trading Robot
The Prototype of a Trading Robot

The Prototype of a Trading Robot

This article summarizes and systematizes the principles of creating algorithms and elements of trading systems. The article considers designing of expert algorithm. As an example the CExpertAdvisor class is considered, which can be used for quick and easy development of trading systems.
Building a Social Technology Startup, Part II: Programming an MQL5 REST Client
Building a Social Technology Startup, Part II: Programming an MQL5 REST Client

Building a Social Technology Startup, Part II: Programming an MQL5 REST Client

Let's now shape the PHP-based Twitter idea which was introduced in the first part of this article. We are assembling the different parts of the SDSS. Regarding the client side of the system architecture, we are relying on the new MQL5 WebRequest() function for sending trading signals via HTTP.
Other classes in DoEasy library (Part 66): MQL5.com Signals collection class
Other classes in DoEasy library (Part 66): MQL5.com Signals collection class

Other classes in DoEasy library (Part 66): MQL5.com Signals collection class

In this article, I will create the signal collection class of the MQL5.com Signals service with the functions for managing signals. Besides, I will improve the Depth of Market snapshot object class for displaying the total DOM buy and sell volumes.
Video: Simple automated trading – How to create a simple Expert Advisor with MQL5
Video: Simple automated trading – How to create a simple Expert Advisor with MQL5

Video: Simple automated trading – How to create a simple Expert Advisor with MQL5

The majority of students in my courses felt that MQL5 was really difficult to understand. In addition to this, they were searching for a straightforward method to automate a few processes. Find out how to begin working with MQL5 right now by reading the information contained in this article. Even if you have never done any form of programming before. And even in the event that you are unable to comprehend the previous illustrations that you have observed.
Separate optimization of a strategy on trend and flat conditions
Separate optimization of a strategy on trend and flat conditions

Separate optimization of a strategy on trend and flat conditions

The article considers applying the separate optimization method during various market conditions. Separate optimization means defining trading system's optimal parameters by optimizing for an uptrend and downtrend separately. To reduce the effect of false signals and improve profitability, the systems are made flexible, meaning they have some specific set of settings or input data, which is justified because the market behavior is constantly changing.
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Learn how to design a trading system by Relative Vigor Index

Learn how to design a trading system by Relative Vigor Index

A new article in our series about how to design a trading system by the most popular technical indicator. In this article, we will learn how to do that by the Relative Vigor Index indicator.
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Improve Your Trading Charts With Interactive GUI's in MQL5 (Part III): Simple Movable Trading GUI

Improve Your Trading Charts With Interactive GUI's in MQL5 (Part III): Simple Movable Trading GUI

Join us in Part III of the "Improve Your Trading Charts With Interactive GUIs in MQL5" series as we explore the integration of interactive GUIs into movable trading dashboards in MQL5. This article builds on the foundations set in Parts I and II, guiding readers to transform static trading dashboards into dynamic, movable ones.
Graphics in DoEasy library (Part 73): Form object of a graphical element
Graphics in DoEasy library (Part 73): Form object of a graphical element

Graphics in DoEasy library (Part 73): Form object of a graphical element

The article opens up a new large section of the library for working with graphics. In the current article, I will create the mouse status object, the base object of all graphical elements and the class of the form object of the library graphical elements.
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Data Science and Machine Learning (Part 03): Matrix Regressions

Data Science and Machine Learning (Part 03): Matrix Regressions

This time our models are being made by matrices, which allows flexibility while it allows us to make powerful models that can handle not only five independent variables but also many variables as long as we stay within the calculations limits of a computer, this article is going to be an interesting read, that's for sure.
Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting
Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting

Practical Use of Kohonen Neural Networks in Algorithmic Trading. Part II. Optimizing and forecasting

Based on universal tools designed for working with Kohonen networks, we construct the system of analyzing and selecting the optimal EA parameters and consider forecasting time series. In Part I, we corrected and improved the publicly available neural network classes, having added necessary algorithms. Now, it is time to apply them to practice.
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Developing a trading Expert Advisor from scratch (Part 19): New order system (II)

Developing a trading Expert Advisor from scratch (Part 19): New order system (II)

In this article, we will develop a graphical order system of the "look what happens" type. Please note that we are not starting from scratch this time, but we will modify the existing system by adding more objects and events on the chart of the asset we are trading.
Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects
Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects

Prices in DoEasy library (Part 64): Depth of Market, classes of DOM snapshot and snapshot series objects

In this article, I will create two classes (the class of DOM snapshot object and the class of DOM snapshot series object) and test creation of the DOM data series.
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Brute force approach to pattern search

Brute force approach to pattern search

In this article, we will search for market patterns, create Expert Advisors based on the identified patterns, and check how long these patterns remain valid, if they ever retain their validity.
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Understanding order placement in MQL5

Understanding order placement in MQL5

When creating any trading system, there is a task we need to deal with effectively. This task is order placement or to let the created trading system deal with orders automatically because it is crucial in any trading system. So, you will find in this article most of the topics that you need to understand about this task to create your trading system in terms of order placement effectively.
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Learn how to design a trading system by VIDYA

Learn how to design a trading system by VIDYA

Welcome to a new article from our series about learning how to design a trading system by the most popular technical indicators, in this article we will learn about a new technical tool and learn how to design a trading system by Variable Index Dynamic Average (VIDYA).