MQL5 Programming Articles

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.

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, I will share with you one of the most popular and commonly used indicators in the world of trading which is RSI. You will learn how to design a trading system using this indicator.

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.

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.

How many cores do you have on your home computer? How many computers can you use to optimize a trading strategy? We show here how to use the MQL5 Cloud Network to accelerate calculations by receiving the computing power across the globe with the click of a mouse. The phrase "Time is money" becomes even more topical with each passing year, and we cannot afford to wait for important computations for tens of hours or even days.

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.

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.

There are numerous trading strategies out there. Some of them look for a trend, while others define ranges of price fluctuations to trade within them. Is it possible to combine these two approaches to increase profitability?

The article features formalized rules of two trading strategies 'Turtle Soup' and 'Turtle Soup Plus One' from Street Smarts: High Probability Short-Term Trading Strategies by Linda Bradford Raschke and Laurence A. Connors. The strategies described in the book are quite popular. But it is important to understand that the authors have developed them based on the 15...20 year old market behavior.

This article explains how to use the major functionalities of the MQL5 Standard Library Trade Classes in writing Expert Advisors which implements position closing and modifying, pending order placing and deletion and verifying of Margin before placing a trade. We have also demonstrated how Trade classes can be used to obtain order and deal details.

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.

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.

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.

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.

A big program starts with a small file, which then grows in size as you keep adding more functions and objects. Most robot developers utilize include files to handle this problem. However, there is a better solution: start developing any trading application in a project. There are so many reasons to do so.

We now know that probability density function (PDF) of a market cycle does not remind a Gaussian but rather a PDF of a sine wave and most of the indicators assume that the market cycle PDF is Gaussian we need a way to "correct" that. The solution is to use Fisher Transform. The Fisher transform changes PDF of any waveform to approximately Gaussian. This article describes the mathematics behind the Fisher Transform and the Inverse Fisher Transform and their application to trading. A proprietary trading signal module based on the Inverse Fisher Transform is presented and evaluated.

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 deals with the popular trading method - triangular arbitrage. Here we analyze the topic in as much detail as possible, consider the positive and negative aspects of the strategy and develop the ready-made Expert Advisor code.

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.

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.

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.

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.

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.

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.

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.

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 explains the step by step process of identifying and resolving code errors as well as the steps in testing and optimizing of the Expert Advisor input parameters. You will learn how to use Strategy Tester of MetaTrader 5 client terminal to find the best symbol and set of input parameters for your Expert Advisor.

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.

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.

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.

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 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.

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 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.

In this article, we will consider how to create multi-colored indicators or convert the existing ones to multi-color. MQL5 allows to represent the information in the convenient form. Now it isn't necessary to look at a dozen of charts with indicators and perform analyses of the RSI or Stochastic levels, it's better just to paint the candles with different colors depending on the values of the indicators.