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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Websockets for MetaTrader 5

Websockets for MetaTrader 5

Before the introduction of the network functionality provided with the updated MQL5 API, MetaTrader programs have been limited in their ability to connect and interface with websocket based services. But of course this has all changed, in this article we will explore the implementation of a websocket library in pure MQL5. A brief description of the websocket protocol will be given along with a step by step guide on how to use the resulting library.
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.
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.
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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Continuous Walk-Forward Optimization (Part 7): Binding Auto Optimizer's logical part with graphics and controlling graphics from the program

Continuous Walk-Forward Optimization (Part 7): Binding Auto Optimizer's logical part with graphics and controlling graphics from the program

This article describes the connection of the graphical part of the auto optimizer program with its logical part. It considers the optimization launch process, from a button click to task redirection to the optimization manager.
Individual Psychology of a Trader
Individual Psychology of a Trader

Individual Psychology of a Trader

A portrait of a trader's behavior on the financial market. Author's own menu from the book "Как играть и выигрывать на бирже" ("How to speculate on stock exchange and win") by A. Elder.
Timeseries in DoEasy library (part 38): Timeseries collection - real-time updates and accessing data from the program
Timeseries in DoEasy library (part 38): Timeseries collection - real-time updates and accessing data from the program

Timeseries in DoEasy library (part 38): Timeseries collection - real-time updates and accessing data from the program

The article considers real-time update of timeseries data and sending messages about the "New bar" event to the control program chart from all timeseries of all symbols for the ability to handle these events in custom programs. The "New tick" class is used to determine the need to update timeseries for the non-current chart symbol and periods.
Multicurrency monitoring of trading signals (Part 2): Implementation of the visual part of the application
Multicurrency monitoring of trading signals (Part 2): Implementation of the visual part of the application

Multicurrency monitoring of trading signals (Part 2): Implementation of the visual part of the application

In the previous article, we created the application framework, which we will use as the basis for all further work. In this part, we will proceed with the development: we will create the visual part of the application and will configure basic interaction of interface elements.
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Combinatorics and probability theory for trading (Part I): The basics

Combinatorics and probability theory for trading (Part I): The basics

In this series of article, we will try to find a practical application of probability theory to describe trading and pricing processes. In the first article, we will look into the basics of combinatorics and probability, and will analyze the first example of how to apply fractals in the framework of the probability theory.
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.
How to Develop an Expert Advisor using UML Tools
How to Develop an Expert Advisor using UML Tools

How to Develop an Expert Advisor using UML Tools

This article discusses creation of Expert Advisors using the UML graphical language, which is used for visual modeling of object-oriented software systems. The main advantage of this approach is the visualization of the modeling process. The article contains an example that shows modeling of the structure and properties of an Expert Advisor using the Software Ideas Modeler.
How to Make Money from MetaTrader AppStore and Trading Signals Services If You Are Not a Seller or a Provider
How to Make Money from MetaTrader AppStore and Trading Signals Services If You Are Not a Seller or a Provider

How to Make Money from MetaTrader AppStore and Trading Signals Services If You Are Not a Seller or a Provider

It is possible to start making money on MQL5.com right now without having to be a seller of Market applications or a profitable signals provider. Select the products you like and post links to them on various web resources. Attract potential customers and the profit is yours!
Patterns available when trading currency baskets. Part II
Patterns available when trading currency baskets. Part II

Patterns available when trading currency baskets. Part II

We continue our discussion of the patterns traders can come across while trading currency baskets. In this part, we will consider the patterns formed when using combined trend indicators. Indicators based on a currency index are to be used as the analytical tool.
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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Use of Resources in MQL5

Use of Resources in MQL5

MQL5 programs not only automate routine calculations, but also can create a full-featured graphical environment. The functions for creating truly interactive controls are now virtually the same rich, as those in classical programming languages. If you want to write a full-fledged stand-alone program in MQL5, use resources in them. Programs with resources are easier to maintain and distribute.
Developing a cross-platform grid EA (Last part): Diversification as a way to increase profitability
Developing a cross-platform grid EA (Last part): Diversification as a way to increase profitability

Developing a cross-platform grid EA (Last part): Diversification as a way to increase profitability

In previous articles within this series, we tried various methods for creating a more or less profitable grid Expert Advisor. Now we will try to increase the EA profitability through diversification. Our ultimate goal is to reach 100% profit per year with the maximum balance drawdown no more than 20%.
Selection and navigation utility in MQL5 and MQL4: Adding data to charts
Selection and navigation utility in MQL5 and MQL4: Adding data to charts

Selection and navigation utility in MQL5 and MQL4: Adding data to charts

In this article, we will continue expanding the functionality of the utility. This time, we will add the ability to display data that simplifies our trading. In particular, we are going to add High and Low prices of the previous day, round levels, High and Low prices of the year, session start time, etc.
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.
Developing a cross-platform Expert Advisor to set StopLoss and TakeProfit based on risk settings
Developing a cross-platform Expert Advisor to set StopLoss and TakeProfit based on risk settings

Developing a cross-platform Expert Advisor to set StopLoss and TakeProfit based on risk settings

In this article, we will create an Expert Advisor for automated entry lot calculation based on risk values. Also the Expert Advisor will be able to automatically place Take Profit with the select ratio to Stop Loss. That is, it can calculate Take Profit based on any selected ratio, such as 3 to 1, 4 to 1 or any other selected value.
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Practical application of neural networks in trading. Python (Part I)

Practical application of neural networks in trading. Python (Part I)

In this article, we will analyze the step-by-step implementation of a trading system based on the programming of deep neural networks in Python. This will be performed using the TensorFlow machine learning library developed by Google. We will also use the Keras library for describing neural networks.
Using the Object Pointers in MQL5
Using the Object Pointers in MQL5

Using the Object Pointers in MQL5

By default, all objects in MQL5 are passed by reference, but there is a possibility to use the object pointers. However it's necessary to perform the pointer checking, because the object may be not initialized. In this case, the MQL5 program will be terminated with critical error and unloaded. The objects, created automatically, doesn't cause such an error, so in this sence, they are quite safe. In this article, we will try to understand the difference between the object reference and object pointer, and consider how to write secure code, that uses the pointers.
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Bid/Ask spread analysis in MetaTrader 5

Bid/Ask spread analysis in MetaTrader 5

An indicator to report your brokers Bid/Ask spread levels. Now we can use MT5s tick data to analyze what the historic true average Bid/Ask spread actually have recently been. You shouldn't need to look at the current spread because that is available if you show both bid and ask price lines.
Advanced EA constructor for MetaTrader - botbrains.app
Advanced EA constructor for MetaTrader - botbrains.app

Advanced EA constructor for MetaTrader - botbrains.app

In this article, we demonstrate features of botbrains.app - a no-code platform for trading robots development. To create a trading robot you don't need to write any code - just drag and drop the necessary blocks onto the scheme, set their parameters, and establish connections between them.
PairPlot graph based on CGraphic for analyzing correlations between data arrays (time series)
PairPlot graph based on CGraphic for analyzing correlations between data arrays (time series)

PairPlot graph based on CGraphic for analyzing correlations between data arrays (time series)

Comparing several time series during a technical analysis is a quite common task that requires appropriate tools. In this article, I suggest developing a tool for graphical analysis and detecting correlations between two or more time series.
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.
Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1
Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1

Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1

This article describes a new approach to hedging of positions and draws the line in the debates between users of MetaTrader 4 and MetaTrader 5 about this matter. The algorithms making such hedging reliable are described in layman's terms and illustrated with simple charts and diagrams. This article is dedicated to the new panel HedgeTerminal, which is essentially a fully featured trading terminal within MetaTrader 5. Using HedgeTerminal and the virtualization of the trade it offers, positions can be managed in the way similar to MetaTrader 4.
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Continuous Walk-Forward Optimization (Part 3): Adapting a Robot to Auto Optimizer

Continuous Walk-Forward Optimization (Part 3): Adapting a Robot to Auto Optimizer

The third part serves as a bridge between the previous two parts: it describes the mechanism of interaction with the DLL considered in the first article and the objects for report downloading, which were described in the second article. We will analyze the process of wrapper creation for a class which is imported from DLL and which forms an XML file with the trading history. We will also consider a method for interacting with this wrapper.
Expert Advisor for Trading in the Channel
Expert Advisor for Trading in the Channel

Expert Advisor for Trading in the Channel

The Expert Advisor plots the channel lines. The upper and lower channel lines act as support and resistance levels. The Expert Advisor marks datum points, provides sound notification every time the price reaches or crosses the channel lines and draws the relevant marks. Upon fractal formation, the corresponding arrows appear on the last bars. Line breakouts may suggest the possibility of a growing trend. The Expert Advisor is extensively commented throughout.
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.
Trading Tactics on Forex
Trading Tactics on Forex

Trading Tactics on Forex

The article will help a beginning trader to develop trading tactics on FOREX.
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.
Library for easy and quick development of MetaTrader programs (part XVIII): Interactivity of account and any other library objects
Library for easy and quick development of MetaTrader programs (part XVIII): Interactivity of account and any other library objects

Library for easy and quick development of MetaTrader programs (part XVIII): Interactivity of account and any other library objects

The article arranges the work of an account object on a new base object of all library objects, improves the CBaseObj base object and tests setting tracked parameters, as well as receiving events for any library objects.
How to analyze the trades of the Signal selected in the chart
How to analyze the trades of the Signal selected in the chart

How to analyze the trades of the Signal selected in the chart

The trade Signals service develops in leaps and bounds. Trusting our funds to a signal provider, we would like to minimize the risk of losing our deposit. So how to puzzle out in this forest of trade signals? How to find the one that would produce profits? This paper proposes to create a tool for visually analyzing the history of trades on trade signals in a symbol chart.
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.
Universal Expert Advisor: Custom Strategies and Auxiliary Trade Classes (Part 3)
Universal Expert Advisor: Custom Strategies and Auxiliary Trade Classes (Part 3)

Universal Expert Advisor: Custom Strategies and Auxiliary Trade Classes (Part 3)

In this article, we will continue analyzing the algorithms of the CStrategy trading engine. The third part of the series contains the detailed analysis of examples of how to develop specific trading strategies using this approach. Special attention is paid to auxiliary algorithms — Expert Advisor logging system and data access using a conventional indexer (Close[1], Open[0] etc.)
Studying the CCanvas Class. How to Draw Transparent Objects
Studying the CCanvas Class. How to Draw Transparent Objects

Studying the CCanvas Class. How to Draw Transparent Objects

Do you need more than awkward graphics of moving averages? Do you want to draw something more beautiful than a simple filled rectangle in your terminal? Attractive graphics can be drawn in the terminal. This can be implemented through the CСanvas class, which is used for creating custom graphics. With this class you can implement transparency, blend colors and produce the illusion of transparency by means of overlapping and blending colors.
Cross-Platform Expert Advisor: Time Filters
Cross-Platform Expert Advisor: Time Filters

Cross-Platform Expert Advisor: Time Filters

This article discusses the implementation of various methods of time filtering a cross-platform expert advisor. The time filter classes are responsible for checking whether or not a given time falls under a certain time configuration setting.
Graphical Interfaces IV: the Multi-Window Mode and System of Priorities (Chapter 2)
Graphical Interfaces IV: the Multi-Window Mode and System of Priorities (Chapter 2)

Graphical Interfaces IV: the Multi-Window Mode and System of Priorities (Chapter 2)

In this chapter, we will extend the library implementation to the possibility of creating multi-window interfaces for the MQL applications. We will also develop a system of priorities for left mouse clicking on graphical objects. This is required to avoid problems when elements do not respond to the user's actions.
Timeseries in DoEasy library (part 39): Library-based indicators - preparing data and timeseries events
Timeseries in DoEasy library (part 39): Library-based indicators - preparing data and timeseries events

Timeseries in DoEasy library (part 39): Library-based indicators - preparing data and timeseries events

The article deals with applying DoEasy library for creating multi-symbol multi-period indicators. We are going to prepare the library classes to work within indicators and test creating timeseries to be used as data sources in indicators. We will also implement creating and sending timeseries events.
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Machine learning in Grid and Martingale trading systems. Would you bet on it?

Machine learning in Grid and Martingale trading systems. Would you bet on it?

This article describes the machine learning technique applied to grid and martingale trading. Surprisingly, this approach has little to no coverage in the global network. After reading the article, you will be able to create your own trading bots.