MQL5 provides programmers with a very complete set of functions and object-oriented API thanks to which they can do everything they want within the MetaTrader environment. However, Web Technology is an extremely versatile tool nowadays that may come to the rescue in some situations when you need to do something very specific, want to marvel your customers with something different or simply you do not have enough time to master a specific part of MT5 Standard Library. Today's exercise walks you through a practical example about how you can manage your development time at the same time as you also create an amazing tech cocktail.
MQL5 Standard Library makes your life as a developer easier. Nevertheless, it does not implement all the needs of all developers in the world, so if you feel that you need some more custom stuff you can take a step further and extend. This article walks you through integrating MetaQuotes' Zig-Zag technical indicator into the Standard Library. We get inspired by MetaQuotes' design philosophy to achieve our goal.
If MQL5 language functional is not enough for fulfilling tasks, an MQL5 programmer has to use additional tools. He\she has to pass to another programming language and create an intermediate DLL. MQL5 has the possibility to present various data types and transfer them to API but, unfortunately, MQL5 cannot solve the issue concerning data extraction from the accepted pointer. In this article we will dot all the "i"s and show simple mechanisms of exchanging and working with complex data types.
The article describes a class of dynamic two-dimensional array that contains data of different types in its first dimension. Storing data in the form of a table is convenient for solving a wide range of problems of arrangement, storing and operation with bound information of different types. The source code of the class that implements the functionality of working with tables is attached to the article.
Today we will learn how to link an MetaTrader 5 terminal with Twitter so that you can tweet your EAs' trading signals. We are developing a Social Decision Support System in PHP based on a RESTful web service. This idea comes from a particular conception of automatic trading called computer-assisted trading. We want the cognitive abilities of human traders to filter those trading signals which otherwise would be automatically placed on the market by the Expert Advisors.
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.
This article presents connecting MetaTrader 5 to ENCOG - Advanced Neural Network and Machine Learning Framework. It contains description and implementation of a simple neural network indicator based on a standard technical indicators and an Expert Advisor based on a neural indicator. All source code, compiled binaries, DLLs and an exemplary trained network are attached to the article.
The article describes the development of an interface between MQL and the MySQL database. It discusses existing practical solutions and offers a more convenient way to implement a library for working with databases. The article contains a detailed description of the functions, the interface structure, examples and some of specific features of working with MySQL. As for the software solutions, the article attachments include the files of dynamic libraries, documentation and script examples for the MQL4 and MQL5 languages.
This article takes us to a whole new direction in developing EAs, indicators and scripts in MQL4 and MQL5. In the future, this programming paradigm will gradually become the base standard for all traders in implementation of EAs. Using the automata-based programming paradigm, the MQL5 and MetaTrader 5 developers will be anywhere near being able to create a new language - MQL6 - and a new platform - MetaTrader 6.
This article describes MQL5-RPC framework that enables Remote Procedure Calls from MQL5. It starts with XML-RPC basics, MQL5 implementation and follows with two real usage examples. First example is using external web service and the second one is a client to simple XML-RPC ATC 2011 Analyzer service. If you are interested on how to implement and analyze different statistics from ATC 2011 in real time, this article is just for you.
Most developers need to have their code secured. This article will present a few different ways to protect MQL5 software - it presents methods to provide licensing capabilities to MQL5 Scripts, Expert Advisors and Indicators. It covers password protection, key generators, account license, time-limit evaluation and remote protection using MQL5-RPC calls.
This article is a logical continuation of my article Statistical Probability Distributions in MQL5 which set forth the classes for working with some theoretical statistical distributions. Now that we have a theoretical base, I suggest that we should directly proceed to real data sets and try to make some informational use of this base.
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.
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.
The article describes a way of programming without using templates but keeping the style of programming iherenet to them. It tells about implementation of templates using custom methods and has a ready-made script attached for creating a code on the basis of specified templates.
Today it is difficult to find a computer that does not have an installed web-browser. For a long time browsers have been evolving and improving. This article discusses the simple and safe way to create of charts and diagrams, based on the the information, obtained from MetaTrader 5 client terminal for displaying them in the browser.
Using the object-oriented approach in MQL5 greatly simplifies the creation of multi-currency/multi-system /multi-time-frame Expert Advisors. Just imagine, your single EA trades on several dozens of trading strategies, on all of the available instruments, and on all of the possible time frames! In addition, the EA is easily tested in the tester, and for all of the strategies, included in its composition, it has one or several working systems of money management.
This article focuses on some optimization capabilities that open up when at least some consideration is given to the underlying hardware on which the OpenCL kernel is executed. The figures obtained are far from being ceiling values but even they suggest that having the existing resources available here and now (OpenCL API as implemented by the developers of the terminal does not allow to control some parameters important for optimization - particularly, the work group size), the performance gain over the host program execution is very substantial.
This article describes the principles of working with the Internet via the use of HTTP requests, and data exchange between terminals, using an intermediate server. An MqlNet library class is presented for working with Internet resources in the MQL5 environment. Monitoring prices from different brokers, exchanging messages with other traders without exiting the terminal, searching for information on the Internet – these are just some examples, reviewed in this article.
In late January 2012, the software development company that stands behind the development of MetaTrader 5 announced native support for OpenCL in MQL5. Using an illustrative example, the article sets forth the programming basics in OpenCL in the MQL5 environment and provides a few examples of the naive optimization of the program for the increase of operating speed.
The article describes how to implement Interprocess Communication between MetaTrader 5 client terminals using named pipes. For the use of the named pipes, the CNamedPipes class is developed. For the test of its use and to measure the connection throughput, the tick indicator, the server and client scripts are presented. The use of named pipes is sufficient for real-time quotes.
In this article, we continue studying the principles of working with Internet using HTTP requests and exchange of information with server. It describes new functions of the CMqlNet class, methods of sending information from forms and sending of files using POST requests as well as authorization on websites under your login using Cookies.
The article examines the mechanism of creating a DLL module, using the popular programming language of ObjectPascal, within a Delphi programming environment. The materials, provided in this article, are designed to primarily target beginner programmers, who are working with problems, which breach the boundaries of the embedded programming language of MQL5, by connecting the outside DLL modules.
Many developers face the same problem - how to get to the trading terminal sandbox without using unsafe DLLs. One of the easiest and safest method is to use standard Named Pipes that work as normal file operations. They allow you to organize interprocessor client-server communication between programs. Take a look at practical examples in C++ and MQL5 that include server, client, data exchange between them and performance benchmark.
In this article I presented different methods of interaction between MQL5 code and managed C# code. I also provided several examples on how to marshal MQL5 structures against C# and how to invoke exported DLL functions in MQL5 scripts. I believe that the provided examples may serve as a basis for future research in writing DLLs in managed code. This article also open doors for MetaTrader to use many libraries that are already implemented in C#.
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.
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. It is a continuation of the first part: "Bi-Directional Trading and Hedging of Positions in MetaTrader 5 Using the HedgeTerminal Panel, Part 1". In the second part, we discuss integration of custom Expert Advisors with HedgeTerminalAPI, which is a special visualization library designed for bi-directional trading in a comfortable software environment providing tools for convenient position management.
Working with data has become the main task for modern software - both for standalone and network applications. To solve this problem a specialized software were created. These are Database Management Systems (DBMS), that can structure, systematize and organize data for their computer storage and processing. As for trading, the most of analysts don't use databases in their work. But there are tasks, where such a solution would have to be handy. This article provides an example of indicators, that can save and load data from databases both with client-server and file-server architectures.
This article is intended for developers who would be interested in using SQL in their projects. It explains the functionality and advantages of SQLite. The article does not require special knowledge of SQLite functions, yet minimum understanding of SQL would be beneficial.
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.
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.
Now not so many developers remember how to write a simple DLL, and what are special features of different system binding. Using several examples, I will try to show the entire process of the simple DLL's creation in 10 minutes, as well as to discuss some technical details of our binding implementation. I will show the step-by-step process of DLL creation in Visual Studio with examples of exchanging different types of variables (numbers, arrays, strings, etc.). Besides I will explain how to protect your client terminal from crashes in custom DLLs.
This article covers the details of interaction between MetaTrader 5 and MatLab mathematical package. It shows the mechanism of data conversion, the process of developing a universal library to interact with MatLab desktop. It also covers the use of DLL generated by MatLab environment. This article is intended for experienced readers, who know C++ and MQL5.
It has been over a year since MQL5 started providing native support for OpenCL. However not many users have seen the true value of using parallel computing in their Expert Advisors, indicators or scripts. This article serves to help you install and set up OpenCL on your computer so that you can try to use this technology in the MetaTrader 5 trading terminal.
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.
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.
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.
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.
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.
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.