MQL4 Programming Articles

External variables of indicators are controlled using a special window where parameters can be changed and the indicator is then run again. The obvious inconvenience of these manipulations has given rise to the need for displaying the required parameters on the screen and controlling the indicator graphically.

It's not just simple; it's super simple. Testing Expert Advisors on non-standard time frames is possible! All we need to do is to replace standard time frame data with non-standard time frame data. Furthermore, we can even test Expert Advisors that use data from several non-standard time frames.

This article deals with an example of reading RSS markup by means of MQL4 using the functions for HTML tags analysis. We will try to make a work piece which can then be turned into a news indicator or just an RSS reader on MQL4 language.

The author familiarizes the readers with a simple library of matrix algebra and provides descriptions and peculiarities of the main functions.

Let me offer you an overview and the program code of the mechanical trading system based on ideas of Stanislav Chuvashov. Triangle's construction is based on the intersection of two trend lines built by the upper and lower fractals.

This article is the first in a series of articles on manual trading automation in the МetaТrader 4 trading platform. Each of the articles will be devoted to one of the following aspects: automation of manual trading, current state of trade display automation and automation of reports on trade results. In this article, I will present an interesting approach to creating EA's controlled manually by a trader.

The article includes an interactive "sandbox" as an Excel file which simulates randomized Expert Advisor backtest data. Readers can use this to help explore and more deeply understand the EA performance metrics offered by default with MetaTrader. The text of the article is designed to guide the user through this experience.

A simple, universal and reliable solution of information exchange between МetaТrader 4 Expert Advisor and the outside world. Suppliers and consumers of the information can be located on different computers, the connection is performed through the global IP addresses.

In this article, we demonstrate an easy way to install MetaTrader 4 on popular Linux versions — Ubuntu and Debian. These systems are widely used on server hardware as well as on traders’ personal computers.

The Accumulation/Distribution (A/D) Indicator has one interesting feature - a breakout of the trend line plotted in this indicator chart suggests, with a certain degree of probability, a forthcoming breakout of the trend line in the price chart. This article will be useful and interesting for those who are new to programming in MQL4. Having this in view, I have tried to present the information in an easy to grasp manner and use the simplest code structures.

Apple products have become very popular. MetaQuotes Software Corp. attentively follows the progress of the IT industry and has already released the special mobile applications for iOS-based devices - MetaTrader 4 for iPhone and MetaTrader 5 for iPhone.There are many topics on the MQL4.community forum, where people are seeking a solution for running MetaTrader 4 under the Mac OS operating system. In this article, you will find out how to work in MetaTrader 4 via the Apple's popular operating system.

In order to make profits based on high expectations, we must understand three basic principles of good trading: 1) know your risk when entering the market; 2) cut your losses early and allow your profit to run; 3) know the expectation of your system – test and adjust it regularly. This article provides a program code trailing open positions and actualizing the second golden principle, as it allows profit to run for the highest possible level.

The article describes Drag Trade Library that provides functionality for visual trading. The library can easily be integrated into virtually any Expert Advisor. Your Expert Advisor can be transformed from an automat into an automated trading and information system almost effortless on your side by just adding a few lines of code.

The main drawback of traditional methods for displaying price information using bars and Japanese candlesticks is that they are bound to the time period. It was perhaps optimal at the time when these methods were created but today when the market movements are sometimes too rapid, prices displayed in a chart in this way do not contribute to a prompt response to the new movement. The proposed price chart display method does not have this drawback and provides a quite familiar layout.

This article draws your attention to the brief review of the method and program code of the mechanical trading system based on the technique proposed by Stanislav Chuvashov. The market analysis considered in the article has something in common with Thomas DeMark's approach to drawing trend lines for the last closest time interval, fractals being the reference points in the construction of trend lines.

The article focuses on one-step-ahead forecasting for EURUSD using EViews software and a further evaluation of forecasting results using the programs in EViews. The forecast involves regression models and is evaluated by means of an Expert Advisor developed for MetaTrader 4.

How independent are currency quotes? Are their movements coordinated or does the movement of one currency suggest nothing of the movement of another? The article describes an effort to tackle this issue using nonlinear dynamics and fractal geometry methods.

The article demonstrates the capabilities and potential of a well-known mathematical method coupled with visual thinking and an "out of the box" market outlook. On the one hand, it serves to attract the attention of a wide audience as it can get the creative minds to reconsider the trading paradigm as such. And on the other, it can give rise to alternative developments and program code implementations regarding a wide range of tools for analysis and forecasting.

There is no trouble finding the Holy Grail of testing, it is however much more difficult to get rid of it. This article addresses the selection of the Expert Advisor operating parameters with automated group processing of optimisation and testing results upon maximum utilisation of the Terminal performance capabilities and minimum end user load.

Even simple programs may often have errors that seem to be unbelievable. "How could I create that?" is our first thought when such an error is revealed. "How can I avoid that?" is the second question which comes to our mind less frequently. It is impossible to create absolutely faultless code, especially in big projects, but it is possible to use technologies for their timely detection. The article describes how the MQL4 code quality can be enhanced with the help of the popular Unit Testing method.

Protection of intellectual property is still a big problem. This article describes the basic principles of MQL4-programs protection. Using these principles you can ensure that results of your developments are not stolen by a thief, or at least to complicate his "work" so much that he will just refuse to do it.

Using virtual trading, you can create an adaptive Expert Advisor, which will turn on and off trades at the real market. Combine several strategies in a single Expert Advisor! Your multisystem Expert Advisor will automatically choose a trade strategy, which is the best to trade with at the real market, on the basis of profitability of virtual trades. This kind of approach allows decreasing drawdown and increasing profitability of your work at the market. Experiment and share your results with others! I think many people will be interested to know about your portfolio of strategies.

Is it possible to predict the behavior of the market for a short upcoming interval of time, based on the recurring tendencies of candle directions, at specific times throughout the day? That is, If such an occurrence is found in the first place. This question has probably arisen in the mind of every trader. The purpose of this article is to attempt to predict the behavior of the market, based on the statistical recurrences of candle directions during specific intervals of time.

Most of the automated trading systems developers use some form of trading signals filtration. In this article, we explore the creation and implementation of bandpass and discrete filters for Expert Advisors, to improve the characteristics of the automated trading system.

This article raises the issues of automated trading on the stock market. Examples of MetaTrader 4 and QUIK integration are provided for your information. In addition to that, you can familiarize yourself with MetaTrader advantages aimed at solving this issue, and see how a trading robot can perform operations on MICEX.

In this article we will check the well-known statement that "The whole day trading depends on how the Asian session is traded".

The article is about the use of CFTC report data (Open Interest) in MetaTrader. The article describes the proposed META COT project in details, shows how to load and process the necessary information. The Expert Advisor included into the project will help us analyze the effectiveness of the concept presented in the article. Finally, we'll draw some conclusions and offer useful suggestions.

This article has been made to show you how to use neural networks, via FANN2MQL, using an easy example: teaching a simple pattern to the neuralnetwork, and testing it to see if it can recognize patterns it has never seen.

In this article you will find main tasks when decorating indicators, their solution and automation.

In this note we will consider a typical programming errors, that occurs while working with double numbers in MQL4 programs.

The article contains considerations regarding creation of a DLL library - wrapper that will enable the interaction of MetaTrader 4 and the MATLAB mathematical desktop package. It describes "pitfalls" and ways to overcome them. The article is intended for prepared C/C++ programmers that use the Borland C++ Builder 6 compiler.

The more factors influence the behavior of a currency pair, the more difficult it is to evaluate its behavior and make up future forecasts. Therefore, if we managed to extract components of a currency pair, values of a national currency that change with the time, we could considerably delimit the freedom of national currency movement as compared to the currency pair with this currency, as well as the number of factors influencing its behavior. As a result we would increase the accuracy of its behavior estimation and future forecasting. How can we do that?

The main point of this article is to show a practical way to implement an effective MM. This can be achieved only by using a certain kind of strategies that we need to identify and describe first. In the following we’ll cover the basic concepts of how to build such a strategy and we’ll point out the common mistakes which always end up in draining a trader’s account.

This article shows you how to easily use Neural Networks in your MQL4 code taking advantage of best freely available artificial neural network library (FANN) employing multiple neural networks in your code.

In practical work a trader can face the following situation: it is necessary to get "alert" or a text message on a display (in a chart window) indicating about an appeared signal of an indicator. The article contains an example of displaying information about graphical objects created by an external indicator.

The article describes rules of marking patterns of Wolfe Waves. You will find here details of constructing and rules of accurate marking, which help to find correct formations of waves quickly and correctly.

The article describes custom averaging functions of higher quality developed by the author: JJMASeries(), JurXSeries(), JLiteSeries(), ParMASeries(), LRMASeries(), T3Series() and MASeries(). The author considers the hot substitution of these functions in indicators using the call of the SmoothXSeries() function.

The article is intended for beginners in baking "multi-layered" cakes.

Numerous attempts to apply statistical methods to the objective reality, i.e. to financial series, crash when met with the nonstationarity of processes, "fat tails" of accompanying probability distributions, and insufficient volume of financial data.In this publication I will try to refer not to the financial series as such, but to their subjective presentation - in this case, to the way a trader tries to halter the series, i.e. to the trading system. The eduction of statistical regularities of the trading results process is a rather enthralling task. In some cases quite true conclusions about the model of this process can be made, and these can be applied to the trading system.

The article describes the contents of the program folder of MetaTrader 4 Client Terminal. The article will be useful for those who have already started to grasp into the details of the client terminal operation.