MQL4 and MQL5 Programming Articles

In the article, we will make the table column widths adjustable using the mouse cursor, sort the table by column data, and add a new class to simplify the creation of tables based on any data sets.

Although the creation of an automated EA is not a very difficult task, however, many mistakes can be made without the necessary knowledge. In this article, we will look at how to build the first level of automation, which consists in creating a trigger to activate breakeven and a trailing stop level.

In this article, I will improve all library objects by assigning a unique type to each object and continue the development of the library graphical objects collection class.

A trader may want to arrange a mailing campaign to maintain business relationships with other traders, subscribers, clients or friends. Besides, there may be a necessity to send screenshotas, logs or reports. These may not be the most frequently arising tasks but having such a feature is clearly an advantage. The article deals with using several Google services simultaneously, developing an appropriate assembly on C# and integrating it with MQL tools.

Within the framework of the engineering approach developed by the author based on the probability theory, the conditions for opening a profitable position are found and the optimal (profit-maximizing) take profit and stop loss values are calculated.

In this article, I will create the functionality for tracking some chart object events — adding/removing symbol charts and chart subwindows, as well as adding/removing/changing indicators in chart windows.

There is currently a fair number of means for a comfortable remote monitoring of a trading account: mobile terminals, push notifications, working with ICQ. But it all requires Internet connection. This article describes the process of creating an Expert Advisor that will allow you to stay in touch with your trading terminal even when mobile Internet is not available, through calls and text messaging.

Successful and comfortable trading using MT4 platform without detailed market analysis - is it possible? Can such trading be implemented in practice? I suppose, yes. Especially in terms of the automated trading!

These series of articles will proposition that the MQL5 Wizard should be a mainstay for traders. Why? Because not only does the trader save time by assembling his new ideas with the MQL5 Wizard, and greatly reduce mistakes from duplicate coding; he is ultimately set-up to channel his energy on the few critical areas of his trading philosophy.

Two years ago in "The Last Crusade" we reviewed quite an interesting yet currently not widely used method for displaying market information - point and figure charts. Now I suggest you try to write a trading robot based on the patterns detected on the point and figure chart.

In this article we continue the development of the CArima class for building ARIMA models by adding intuitive methods that enable forecasting.

The article describes different ways of sending trading signals from a signal program unit of a universal Expert Advisor into the positions and orders controlling unit. It dwells on serial and parallel interfaces.

Do you know what a flowchart is? Can you use it? Do you think flowcharts are for beginners? I suggest that we proceed to this new article and learn how to work with flowcharts.

The article considers the development of an MQL5 Expert Advisor (EA) for MetaTrader 5 aimed at working on MOEX. The EA is to follow a grid strategy while trading on MOEX using MetaTrader 5 terminal. The EA involves closing positions by stop loss and take profit, as well as removing pending orders in case of certain market conditions.

In this article, we will put into practice all the knowledge from this series. We will finally build a 100% automated and functional system. But before that, we still have to learn one last detail.

The article deals with the ways of how to send internal messages and SMSes from an Expert Advisor to mobile phones using Skype.

We continue to study reinforcement learning methods. In the previous article, we got acquainted with the Deep Q-Learning method. In this method, the model is trained to predict the upcoming reward depending on the action taken in a particular situation. Then, an action is performed in accordance with the policy and the expected reward. But it is not always possible to approximate the Q-function. Sometimes its approximation does not generate the desired result. In such cases, approximation methods are applied not to utility functions, but to a direct policy (strategy) of actions. One of such methods is Policy Gradient.

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 article deals with the outlook of using MQL4 for more productive work at FOREX markets.

The article deals with creating a collection class of indicator buffer objects. I am going to test the ability to create and work with any number of buffers for indicators (the maximum number of buffers that can be created in MQL indicators is 512).

In this article we will describe the process of writing a simple but a very powerful library for making the html files, will learn to adjust their displaying and will see how they can be easily implemented and used in your expert or the script.