Articles on MetaTrader 5 integration using MQL5
Traders meet interesting challenges which often require an innovative approach. This category features articles that offer the most unexpected solutions for evaluating, analyzing and processing price data and trading results. The articles describe various integration solutions, including connection of databases and ICQ, use of OpenCL and social networks, use of Delphi and C#.
Read on to learn how to use specialized mathematical and neural packages, and much more. Become an author and share unique ideas with the MQL5.community members.
Add a new article
You are missing trading opportunities:
- Free trading apps
- Over 8,000 signals for copying
- Economic news for exploring financial markets
Registration
Log in
You agree to website policy and terms of use
If you do not have an account, please register
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.
LifeHack for traders: Fast food made of indicators
If you have newly switched to MQL5, then this article will be useful. First, the access to the indicator data and series is done in the usual MQL4 style. Second, this entire simplicity is implemented in MQL5. All functions are as clear as possible and perfectly suited for step-by-step debugging.
Automatic Selection of Promising Signals
The article is devoted to the analysis of trading signals for the MetaTrader 5 platform, which enable the automated execution of trading operations on subscribers' accounts. Also, the article considers the development of tools, which help search for potentially promising trading signals straight from the terminal.
Creating a custom news feed for MetaTrader 5
In this article we look at the possibility of creating a flexible news feed that offers more options in terms of the type of news and also its source. The article will show how a web API can be integrated with the MetaTrader 5 terminal.
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.
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.
Deep Neural Networks (Part IV). Creating, training and testing a model of neural network
This article considers new capabilities of the darch package (v.0.12.0). It contains a description of training of a deep neural networks with different data types, different structure and training sequence. Training results are included.
Cross-Platform Expert Advisor: Custom Stops, Breakeven and Trailing
This article discusses how custom stop levels can be set up in a cross-platform expert advisor. It also discusses a closely-related method by which the evolution of a stop level over time can be defined.
Deep Neural Networks (Part III). Sample selection and dimensionality reduction
This article is a continuation of the series of articles about deep neural networks. Here we will consider selecting samples (removing noise), reducing the dimensionality of input data and dividing the data set into the train/val/test sets during data preparation for training the neural network.
Using cloud storage services for data exchange between terminals
Cloud technologies are becoming more popular. Nowadays, we can choose between paid and free storage services. Is it possible to use them in trading? This article proposes a technology for exchanging data between terminals using cloud storage services.
Creating and testing custom symbols in MetaTrader 5
Creating custom symbols pushes the boundaries in the development of trading systems and financial market analysis. Now traders are able to plot charts and test trading strategies on an unlimited number of financial instruments.
Deep Neural Networks (Part II). Working out and selecting predictors
The second article of the series about deep neural networks will consider the transformation and choice of predictors during the process of preparing data for training a model.
Deep Neural Networks (Part I). Preparing Data
This series of articles continues exploring deep neural networks (DNN), which are used in many application areas including trading. Here new dimensions of this theme will be explored along with testing of new methods and ideas using practical experiments. The first article of the series is dedicated to preparing data for DNN.
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.
Universal Expert Advisor: Accessing Symbol Properties (Part 8)
The eighth part of the article features the description of the CSymbol class, which is a special object that provides access to any trading instrument. When used inside an Expert Advisor, the class provides a wide set of symbol properties, while allowing to simplify Expert Advisor programming and to expand its functionality.
Creating Documentation Based on MQL5 Source Code
This article considers creation of documentation for MQL5 code starting with the automated markup of required tags. It also provides the description of how to use the Doxygen software, how to properly configure it and how to receive results in different formats, including html, HtmlHelp and PDF.
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.
Cross-Platform Expert Advisor: Money Management
This article discusses the implementation of money management method for a cross-platform expert advisor. The money management classes are responsible for the calculation of the lot size to be used for the next trade to be entered by the expert advisor.
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.
MQL5 Cookbook - Creating a ring buffer for fast calculation of indicators in a sliding window
The ring buffer is the simplest and the most efficient way to arrange data when performing calculations in a sliding window. The article describes the algorithm and shows how it simplifies calculations in a sliding window and makes them more efficient.
Cross-Platform Expert Advisor: Order Manager
This article discusses the creation of an order manager for a cross-platform expert advisor. The order manager is responsible for the entry and exit of orders or positions entered by the expert, as well as for keeping an independent record of such trades that is usable for both versions.
Ready-made Expert Advisors from the MQL5 Wizard work in MetaTrader 4
The article offers a simple emulator of the MetaTrader 5 trading environment for MetaTrader 4. The emulator implements migration and adjustment of trade classes of the Standard Library. As a result, Expert Advisors generated in the MetaTrader 5 Wizard can be compiled and executed in MetaTrader 4 without changes.
Visualize this! MQL5 graphics library similar to 'plot' of R language
When studying trading logic, visual representation in the form of graphs is of great importance. A number of programming languages popular among the scientific community (such as R and Python) feature the special 'plot' function used for visualization. It allows drawing lines, point distributions and histograms to visualize patterns. In MQL5, you can do the same using the CGraphics class.
ZUP - universal ZigZag with Pesavento patterns. Graphical interface
Over the ten years since the release of the first version of the ZUP platform, it has undergone through multiple changes and improvements. As a result, now we have a unique graphical add-on for MetaTrader 4 allowing you to quickly and conveniently analyze market data. The article describes how to work with the graphical interface of the ZUP indicator platform.
Embed MetaTrader 4/5 WebTerminal on your website for free and make a profit
Traders are well familiar with the WebTerminal, which allows trading on financial markets straight from the browser. Add the WebTerminal widget to your website — you can do it absolutely free. If you have a website, you can start selling leads to brokers — we have prepared a ready-to-use web-based solution for you. All you need to do is embed one iframe into your website.
Cross-Platform Expert Advisor: Orders
MetaTrader 4 and MetaTrader 5 uses different conventions in processing trade requests. This article discusses the possibility of using a class object that can be used to represent the trades processed by the server, in order for a cross-platform expert advisor to further work on them, regardless of the version of the trading platform and mode being used.
Cross-Platform Expert Advisor: Reuse of Components from the MQL5 Standard Library
There exists some components in the MQL5 Standard Library that may prove to be useful in the MQL4 version of cross-platform expert advisors. This article deals with a method of making certain components of the MQL5 Standard Library compatible with the MQL4 compiler.
Cross-Platform Expert Advisor: Introduction
This article details a method by which cross-platform expert advisors can be developed faster and easier. The proposed method consolidates the features shared by both versions into a single class, and splits the implementation on derived classes for incompatible features.
Working with sockets in MQL, or How to become a signal provider
Sockets… What in our IT world could possibly exist without them? Dating back to 1982, and hardly changed up to the present time, they smoothly work for us every second. This is the foundation of network, the nerve endings of the Matrix we all live in.
Regular expressions for traders
A regular expression is a special language for handling texts by applying a specified rule, also called a regex or regexp for short. In this article, we are going to show how to handle a trade report with the RegularExpressions library for MQL5, and will also demonstrate the optimization results after using it.
How to create bots for Telegram in MQL5
This article contains step-by-step instructions for creating bots for Telegram in MQL5. This information may prove useful for users who wish to synchronize their trading robot with a mobile device. There are samples of bots in the article that provide trading signals, search for information on websites, send information about the account balance, quotes and screenshots of charts to you smart phone.
Universal Expert Advisor: A Custom Trailing Stop (Part 6)
The sixth part of the article about the universal Expert Advisor describes the use of the trailing stop feature. The article will guide you through how to create a custom trailing stop module using unified rules, as well as how to add it to the trading engine so that it would automatically manage positions.
Self-optimization of EA: Evolutionary and genetic algorithms
This article covers the main principles set fourth in evolutionary algorithms, their variety and features. We will conduct an experiment with a simple Expert Advisor used as an example to show how our trading system benefits from optimization. We will consider software programs that implement genetic, evolutionary and other types of optimization, and provide examples of application when optimizing a predictor set and parameters of the trading system.
Universal Expert Advisor: Pending Orders and Hedging Support (Part 5)
This article provides further description of the CStrategy trading engine. By popular demand of users, we have added pending order support functions to the trading engine. Also, the latest version of the MetaTrader 5 now supports accounts with the hedging option. The same support has been added to CStrategy. The article provides a detailed description of algorithms for the use of pending orders, as well as of CStrategy operation principles on accounts with the hedging option enabled.
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.
Calculator of signals
The calculator of signals operates directly from the MetaTrader 5 terminal, which is a serious advantage, since the terminal provides a preliminary selection and sorts out signals. This way, users can see in the terminal only the signals that ensure a maximum compatibility with their trading accounts.
Deep neural network with Stacked RBM. Self-training, self-control
This article is a continuation of previous articles on deep neural network and predictor selection. Here we will cover features of a neural network initiated by Stacked RBM, and its implementation in the "darch" package.
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.)
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.
Universal Expert Advisor: Trading Modes of Strategies (Part 1)
Any Expert Advisor developer, regardless of programming skills, is daily confronted with the same trading tasks and algorithmic problems, which should be solved to organize a reliable trading process. The article describes the possibilities of the CStrategy trading engine that can undertake the solution of these tasks and provide a user with convenient mechanism for describing a custom trading idea.