Calls to user and technical indicators takes up very little space in the program code of automated trading systems. Often it’s simply a few code lines. But it often happens that it is these few lines of code which use up the largest portion of time, which needs to be spent on testing the Expert Advisor. Therefore, everything that is related to data calculations within an indicator, needs to be considered much more thoroughly than would seem at first glance. This article will talk precisely about this.
With the launch of the Jobs service, the MQL5.community has become an ideal place for placing orders and providing programming services. Thousands of traders and developers visit this resource on a daily basis, and they can easily help each other. For traders, the Jobs service is the opportunity to easily obtain their own Expert Advisors. For an MQL5 developer, it is an opportunity to easily find a client. In this article, we will consider the capabilities of this service.
This article focuses on the object oriented approach to doing what we did in the article "Step-By-Step Guide to writing an Expert Advisor in MQL5 for Beginners" - creating a simple Expert Advisor. Most people think this is difficult, but I want to assure you that by the time you finish reading this article, you will be able to write your own Expert Advisor which is object oriented based.
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.
The concept of diversification of assets on financial markets is quiet old, and has always attracted beginner traders. In this article, the author proposes a maximally simple approach to a construction of a multi-currency Expert Advisor, for an initial introduction to this direction of trading strategies.
The MQL5 programming language primarily targets the creation of automated trading systems and complex instruments of technical analyses. But aside from this, it allows us to create interesting information systems for tracking market situations, and provides a return connection with the trader. The article describes the MQL5 Standard Library components, and shows examples of their use in practice for reaching these objectives. It also demonstrates an example of using Google Chart API for the creation of charts.
In this article the author talks about evolutionary calculations with the use of a personally developed genetic algorithm. He demonstrates the functioning of the algorithm, using examples, and provides practical recommendations for its usage.
The article describes how to implement Interprocess Communication between MetaTrader 5 client terminals using named pipes. For the use of the named pipes, the CNamedPipes class is developed. For the test of its use and to measure the connection throughput, the tick indicator, the server and client scripts are presented. The use of named pipes is sufficient for real-time quotes.