History of MQL5.community development

You have decided to study MQL5 trading strategies' programming language, but you know nothing about it? We have tried to examine MQL5 and MetaTrader 5 terminal from the newcomers' point of view and have written this short introductory article. In this article, you can find a brief idea of the possibilities of the language, as well as some tips on working with MetaEditor 5 and the terminal.

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.

Trading on financial markets involves many risks including the most critical one - the risk of making a wrong trading decision. The dream of every trader is to find a trading robot, which is always in good shape and not subject to human weaknesses - fear, greed and impatience.

This article serves to familiarize the reader with the empirical mode decomposition (EMD) method. It is the fundamental part of the Hilbert–Huang transform and is intended for analyzing data from nonstationary and nonlinear processes. This article also features a possible software implementation of this method along with a brief consideration of its peculiarities and gives some simple examples of its use.

This article's objective is to study profitability of algorithms with different entries into trades and exits using trailing stop. Entry types to be used are random entry and reverse entry. Stop orders to be used are trailing stop and trailing take. The article demonstrates money-making algorithms with a profitability of about 30% per annum.

After we decided to reward the most outstanding MQL5.com participants, we have selected the key criteria to determine each participant's contribution to the Community development. As a result, we have the following champions who published the greatest amount of articles on the website - investeo (11 articles) and victorg (10 articles), and who submitted their programs to Code Base – GODZILLA (340 programs), Integer (61 programs) and abolk (21 programs).