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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.
Many traders on Moscow Exchange would like to automate their trading algorithms, but they do not know where to start. The MQL5 language offers a huge range of trading functions, and it additionally provides ready classes that help users to make their first steps in algo trading.
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.
The article contains descriptions of the new features available in the updated MQL5 Wizard. The modified architecture of signals allow creating trading robots based on the combination of various market patterns. The example contained in the article explains the procedure of interactive creation of an Expert Advisor.
The basic rule of trader - let profit to grow, cut off losses! This article considers one of the basic techniques, allowing to follow this rule - moving the protective stop level (Stop loss level) after increasing position profit, i.e. - Trailing Stop level. You'll find the step by step procedure to create a class for trailing stop on SAR and NRTR indicators. Everyone will be able to insert this trailing stop into their experts or use it independently to control positions in their accounts.
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.
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.
Trong chỉ báo Aroon đã viết lại 2 hàm này kết hợp với các hàm xử lý Array.
The complex codes consist of a set of simple codes. If you are familiar with them, it doesn't look so complicated. In this article, we will consider how to create an indicator with multiple indicator buffers. As an example, the Aroon indicator is analyzed in details, and two different versions of the code are presented.
In this article we look into the question of using a Heiken-Ashi indicator in trading. Based on this indicator, a simple trading system is considered and an MQL5 Expert Advisor is written. Trading operations are implemented on the bases of classes of the Standard class library. The testing results of the reviewed trading strategy, are based on the history, and obtained using the built-in MetaTrader 5 strategy tester, are provided in the article.
The development of trading strategies primarily focuses on searching for patterns for entering and exiting the market, as well as maintaining positions. If we are able to formalize some patterns into rules for automated trading, then the trader faces the question of calculating the volume of positions, the size of the margins, as well as maintaining a safe level of mortgage funds for assuring open positions in an automated mode. In this article we will use the MQL5 language to construct simple examples of conducting these calculations.
In this article, we demonstrate an easy way to install MetaTrader 5 on popular Linux versions — Ubuntu and Debian. These systems are widely used on server hardware as well as on traders’ personal computers.
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.