Articles with MQL5 programming examples

This article is dedicated to peculiarities of transferring price constructions written in MQL4 to MQL5. To make the process of transferring indicator calculations from MQL4 to MQL5 easier, the mql4_2_mql5.mqh library of functions is suggested. Its usage is described on the basis of transferring of the MACD, Stochastic and RSI indicators.

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.

Random Forest (RF) with the use of bagging is one of the most powerful machine learning methods, which is slightly inferior to gradient boosting. This article attempts to develop a self-learning trading system that makes decisions based on the experience gained from interaction with the market.

This article will teach you how to receive trade signals that are necessary for a trade system to work. The examples of forming 20 trade signals are given here as separate custom functions that can be used while developing Expert Advisors. For your convenience, all the functions used in the article are combined in a single mqh include file that can be easily connected to a future Expert Advisor.

The article describes the way to create a custom strategy tester and a custom analyzer of the optimization passes. After reading it, you will understand how the math calculations mode and the mechanism of so-called frames work, how to prepare and load custom data for calculations and use effective algorithms for their compression. This article will also be interesting to those interested in ways of storing custom information within an expert.

The article dwells on Elder-Ray trading system based on Bulls Power, Bears Power and Moving Average indicators (EMA — exponential averaging). This system was described by Alexander Elder in his book "Trading for a Living".

In this article, we will start the development of the library base trading class and add the initial verification of permissions to conduct trading operations to its first version. Besides, we will slightly expand the features and content of the base trading class.

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.

The graphical method proposed by Bill Wolfe allows to detect a pattern, based on which a moment and direction for entry can be found, and also it helps forecast the target which the price should reach, as well as the time of target reaching. The article describes how to create an indicator based on a ZigZag, that would search for Wolfe Waves, and a simple Expert Advisor trading based on this indicator.

The article provides an example of an MQL application with its graphical interface featuring multi-symbol balance and deposit drawdown graphs based on the last test results.

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.

Traders often look for trend reversal points since the price has the greatest potential for movement at the very beginning of a newly formed trend. Consequently, various reversal patterns are considered in the technical analysis. The Double top/bottom is one of the most well-known and frequently used ones. The article proposes the method of the pattern programmatic detection. It also tests the pattern's profitability on history data.

This part of the article describes the possibilities of the CStrategy engine integration with the signal modules included into the standard library in MetaTrader. The article describes how to work with signals, as well as how to create custom strategies on their basis.

In the previous article, we have created the classes of pending request objects corresponding to the general concept of library objects. This time, we are going to deal with the class allowing the management of pending request objects.

The article considers all kinds of divergence: simple, hidden, extended, triple, quadruple, convergence, as well as divergences of A, B and C classes. A universal indicator for their search and display on the chart is developed.

The article considers the development of indicator buffer object classes as descendants of the abstract buffer object simplifying declaration and working with indicator buffers, while creating custom indicator programs based on DoEasy library.

The article considers an example of applying the fuzzy logic to build a simple trading system, using the Fuzzy library. Variants for improving the system by combining fuzzy logic, genetic algorithms and neural networks are proposed.

Have you ever felt the need to add a graphical panel to your indicator or Expert Advisor for greater speed and convenience? In this article, you will find out how to implement the dialog panel with the input parameters into your MQL4/MQL5 program step by step.

This article describes a method of finding four extremum points for drawing support and resistance levels based on them. In order to find extremums on a chart of a currency pair, RSI indicator is used. To give an example, we have provided an indicator code that displays support and resistance levels.

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.

In this article, we continue to consider writing the code to trading systems described in a book by Linda B. Raschke and Laurence A. Connors “Street Smarts: High Probability Short-Term Trading Strategies”. This time we study Momentum Pinball system: there is described creation of two indicators, trade robot and signal block on it.

Despite the fact that many traders still prefer manual trading, it is hardly possible to completely avoid the automation of routine operations. The article shows an example of developing a multi-symbol signal Expert Advisor for manual trading.

The article deals with detecting and indicating Support/Resistance Levels in the MetaTrader 4 program. The convenient and universal indicator is based on a simple algorithm. The article also tackles such a useful topic as creation of a simple indicator that can display results from different timeframes in one workspace.

This paper proposes a new conception to describe the window interface of MQL programs, using the structures of MQL. Special classes transform the viewable MQL markup into the GUI elements and allow manage them, set up their properties, and process the events in a unified manner. It also provides some examples of using the markup for the dialogs and elements of a standard library.

The article deals with examples of applying fuzzy set theory in trading by means of MQL4. The use of FuzzyNet library for MQL4 in the development of an indicator and an Expert Advisor is described as well.

In this article, we will create the basic functionality of a scalping Market Depth tool. Also, we will develop a tick chart based on the CGraphic library and integrate it with the order book. Using the described Market Depth, it will be possible to create a powerful assistant tool for short-term trading.

This sequence of articles is intended for traders, who know nothing about programming, but have a desire to learn MQL4 language as quick as possible with minimal time and effort inputs. If you are afraid of such phrases as "object orientation" or "three dimensional arrays", this article is what you need. The lessons are designed for the maximally quick result. Moreover, the information is delivered in a comprehensible manner. We shall not go too deep into the theory, but you will gain the practical benefit already from the first lesson.

The article considers the possibility to apply Bayesian optimization to hyperparameters of deep neural networks, obtained by various training variants. The classification quality of a DNN with the optimal hyperparameters in different training variants is compared. Depth of effectiveness of the DNN optimal hyperparameters has been checked in forward tests. The possible directions for improving the classification quality have been determined.

Global variables of the terminal provide an indispensable tool for developing sophisticated and reliable Expert Advisors. If you master the global variables, you will no more be able to imagine developing EAs on MQL5 without them.

We all know the saying "Better to see once than hear a hundred times". You can read various books about Paris or Venice, but based on the mental images you wouldn't have the same feelings as on the evening walk in these fabulous cities. The advantage of visualization can easily be projected on any aspect of our lives, including work in the market, for example, the analysis of price on charts using indicators, and of course, the visualization of strategy testing. This article contains descriptions of all the visualization features of the MetaTrader 5 Strategy Tester.

This article is a follow-up to the previous one called "Reversal patterns: Testing the Double top/bottom pattern". Now we will have a look at another well-known reversal pattern called Head and Shoulders, compare the trading efficiency of the two patterns and make an attempt to combine them into a single trading system.

The article provides the analysis of the following patterns: Flag, Pennant, Wedge, Rectangle, Contracting Triangle, Expanding Triangle. In addition to analyzing their similarities and differences, we will create indicators for detecting these patterns on the chart, as well as a tester indicator for the fast evaluation of their effectiveness.

The article describes how to add the ability to work with Microsoft SQL Server database server to MQL5-based Expert Advisors. Import of functions from a DLL is used. The DLL is created using the Microsoft .NET platform and the C# language. The methods used in the article are also suitable for experts written in MQL4, with minor adjustments.

MetaTarder 4 build 600 features the new structure and location of the client terminal files. Now, MQL4 applications are placed in separate directories according to the program type (Expert Advisors, indicators or scripts). In most cases, the terminal data is now stored in a special data folder separated from the terminal installation location. In this article, we will describe in details how data is transferred, as well as the reasons for introducing the new storage system.

Ever wanted to access tweets and/or post your trade signals on Twitter ? Search no more, these on-going article series will show you how to do it without using any DLL. Enjoy the journey of implementing Twitter API using MQL. In this first part, we will follow the glory path of authentication and authorization in accessing Twitter API.

The article covers everything you can do with strings in MQL5. It should be of interest primarily to novice MQL5 programmers, while experienced developers will have a good opportunity to summarize and systematize their knowledge.

Creation of expert advisors in the MetaTrader trading system has a number of features.

In early 2011 we released the first version of the MQL5 Wizard. This new application provides a simple and convenient tool to automatically generate trading robots. Any MetaTrader 5 user can create a custom Expert Advisor without even knowing how to program in MQL5.