In this article, we will consider the development of a multi-symbol indicator to analyze price divergence in a specified period of time. The core topics have been already discussed in the previous article on the programming of multi-currency indicators "MQL5 Cookbook: Developing a Multi-Symbol Volatility Indicator in MQL5". So this time we will dwell only on those new features and functions that have been changed dramatically. If you are new to the programming of multi-currency indicators, I recommend you to first read the previous article.
The article describes an example of Renko charting and its implementation in MQL5 as an indicator. Modifications of this indicator distinguish it from a classic chart. It can be constructed both in the indicator window and on the main chart. Moreover, there is the ZigZag indicator. You can find a few examples of the chart implementation.
We continue the series of articles on MQL5 programming. This time we will see how to get results of each optimization pass right during the Expert Advisor parameter optimization. The implementation will be done so as to ensure that if the conditions specified in the external parameters are met, the corresponding pass values will be written to a file. In addition to test values, we will also save the parameters that brought about such results.
If MQL5 language functional is not enough for fulfilling tasks, an MQL5 programmer has to use additional tools. He\she has to pass to another programming language and create an intermediate DLL. MQL5 has the possibility to present various data types and transfer them to API but, unfortunately, MQL5 cannot solve the issue concerning data extraction from the accepted pointer. In this article we will dot all the "i"s and show simple mechanisms of exchanging and working with complex data types.
The article describes the examples of creating directories, copying data, filing, working with the symbols in Market Watch or the common list, as well as the examples of handling errors, etc. All these elements can eventually be gathered in a single script for filing the data in a user-defined format.
Many developers face the same problem - how to get to the trading terminal sandbox without using unsafe DLLs. One of the easiest and safest method is to use standard Named Pipes that work as normal file operations. They allow you to organize interprocessor client-server communication between programs. Take a look at practical examples in C++ and MQL5 that include server, client, data exchange between them and performance benchmark.
The Expert Advisors programming in MQL5 is simple, and you can learn it easy. In this step by step guide, you will see the basic steps required in writing a simple Expert Advisor based on a developed trading strategy. The structure of an Expert Advisor, the use of built-in technical indicators and trading functions, the details of the Debug mode and use of the Strategy Tester are presented.
Is it possible to trade on a real MetaTrader 5 account today? How to organize such trading? The article contains the theory of these questions and the working codes used for copying trades from the MetaTrader 5 terminal to MetaTrader 4. The article will be useful both for the developers of Expert Advisors and for practicing traders.
In this article, we will consider the creation of two indicators: the tick indicator, which plots the tick chart of the price and tick candle indicator, which plot candles with the specified number of ticks. Each of the indicators writes the incoming prices into a file, and uses the saved data after the restart of the indicator (these data also can be used by the other programs)
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.
Just over a year ago joo, in his article "Genetic Algorithms - It's Easy!", gave us a tool for implementation of the genetic algorithm in MQL5. Now utilizing the tool we will create an Expert Advisor that will genetically optimize its own parameters upon certain boundary conditions...