In order to obtain values of a built-in or custom indicator in an Expert Advisor, first its handle should be created using the corresponding function. Examples in the article show how to use this or that technical indicator while creating your own programs. The article describes indicators that are built n the MQL5 language. It is intended for those who don't have much experience in the development of trading strategies and offers simple and clear ways of working with indicators using the offered library of functions.
All channel indicators are displayed as three lines, including central, top and bottom lines. The drawing principle of the central line is similar to a moving average, while the moving average indicator is mostly used for drawing channels. The top and bottom lines are located at equal distances from the central line. This distance can be determined in points, as percent of price (the Envelopes indicator), using a standard deviation value (Bollinger Bands), or an ATR value (Keltner channel).
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.
The article discusses the possibility of plotting statistical distribution histograms of market conditions with the help of the graphical memory meaning no indicator buffers and arrays are applied. Sample histograms are described in details and the "hidden" functionality of MQL5 graphical objects is shown.
ZigZag is one of the most popular indicators among the MetaTrader 5 users. The article analyzes the possibilities for creating various versions of the ZigZag. The result is a universal indicator with ample opportunities to extend its functionality, which is useful in the development of trading experts and other indicators.
The article describes the development of tools (indicator and Expert Advisor) for analyzing the '80-20' trading strategy. The trading strategy rules are taken from the work "Street Smarts. High Probability Short-Term Trading Strategies" by Linda Raschke and Laurence Connors. We are going to formalize the strategy rules using the MQL5 language and test the strategy-based indicator and EA on the recent market history.
How to make the testing process more visual? The answer is simple: you need to use one or more indicators in the Strategy Tester, including a tick indicator, an indicator of balance and equity, an indicator of drawdown and deposit load. This solution will help you visually track the nature of ticks, balance and equity changes, as well as drawdown and deposit load.
In this article, we continue to dwell on reversing techniques. We will try to reduce the maximum balance drawdown till an acceptable level for the instruments considered earlier. We will see if the measures will reduce the profit. We will also check how the reversing method performs on other markets, including stock, commodity, index, ETF and agricultural markets. Attention, the article contains a lot of images!
In the first part of the article, I have described a modified ZigZag indicator and a class for receiving data of that type of indicators. Here, I will show how to develop indicators based on these tools and write an EA for tests that features making deals according to signals formed by ZigZag indicator. As an addition, the article will introduce a new version of the EasyAndFast library for developing graphical user interfaces.
Most often the first step in the development of a trading system is the creation of a technical indicator, which can identify favorable market behavior patterns. A professionally developed indicator can be ordered from the Freelance service. From this article you will learn how to create a proper Requirements Specification, which will help you to obtain the desired indicator faster.
The article describes the development and implementation of a class for sending signals based on pivots — reversal levels. This class is used to form a strategy applying the Standard Library. Improving the pivot strategy by adding filters is considered.
In this update of the library, the Table control (the CTable class) will be supplemented with new options. The lineup of controls in the table cells is expanded, this time adding text edit boxes and combo boxes. As an addition, this update also introduces the ability to resize the window of an MQL application during its runtime.
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.
After the upgrade of the MATLAB package in 2015, it is necessary to consider a modern way of creating DLL libraries. The article uses a sample predictive indicator to illustrate the peculiarities of linking MetaTrader 5 and MATLAB using modern 64-bit versions of the platforms, which are utilized nowadays. With the entire sequence of connecting MATLAB considered, MQL5 developers will be able to create applications with advanced computational capabilities much faster, avoiding «pitfalls».
Based on universal tools designed for working with Kohonen networks, we construct the system of analyzing and selecting the optimal EA parameters and consider forecasting time series. In Part I, we corrected and improved the publicly available neural network classes, having added necessary algorithms. Now, it is time to apply them to practice.
In this article, we consider the principles of mathematical expression parsing and evaluation using parsers based on operator precedence. We will implement Pratt and shunting-yard parser, byte-code generation and calculations by this code, as well as view how to use indicators as functions in expressions and how to set up trading signals in Expert Advisors based on these indicators.
There are multiple different approaches to market research and analysis. The main ones are technical and fundamental. In technical analysis, traders collect, process and analyze numerical data and parameters related to the market, including prices, volumes, etc. In fundamental analysis, traders analyze events and news affecting the markets directly or indirectly. The article deals with price velocity measurement methods and studies trading strategies based on that methods.
We continue to develop the Multiline Text box control. This time our task is to implement an automatic word wrapping in case a text box width overflow occurs, or a reverse word wrapping of the text to the previous line if the opportunity arises.
MQL programming language allows implementing the concept of modular development of trading strategies. The article shows an example of developing a multi-module Expert Advisor consisting of separately compiled file modules.
When making trading decisions, we often have to analyze charts on several timeframes. At the same time, these charts often contain graphical objects. Applying the same objects to all charts is inconvenient. In this article, I propose to automate cloning of objects to be displayed on charts.