History of MQL5.community development

The main drawback of traditional methods for displaying price information using bars and Japanese candlesticks is that they are bound to the time period. It was perhaps optimal at the time when these methods were created but today when the market movements are sometimes too rapid, prices displayed in a chart in this way do not contribute to a prompt response to the new movement. The proposed price chart display method does not have this drawback and provides a quite familiar layout.

The article is devoted to the practical application of the fuzzy logic concept for financial markets analysis. We propose the example of the indicator generating signals based on two fuzzy rules based on Envelopes indicator. The developed indicator uses several indicator buffers: 7 buffers for calculations, 5 buffers for the charts display and 2 color buffers.

The article provides a review of AutoElliottWaveMaker - the first development for Elliott Wave analysis in MetaTrader 5 that represents a combination of manual and automatic wave labeling. The wave analysis tool is written exclusively in MQL5 and does not include external dll libraries. This is another proof that sophisticated and interesting programs can (and should) be developed in MQL5.

The MQL5.com website remembers all of you quite well! How many of your threads are epic, how popular your articles are and how often your programs in the Code Base are downloaded – this is only a small part of what is remembered at MQL5.com. Your achievements are available in your profile, but what about the overall picture? In this article we will show the general picture of all MQL5.community members achievements.

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.

This article draws your attention to the brief review of the method and program code of the mechanical trading system based on the technique proposed by Stanislav Chuvashov. The market analysis considered in the article has something in common with Thomas DeMark's approach to drawing trend lines for the last closest time interval, fractals being the reference points in the construction of trend lines.

The article focuses on one-step-ahead forecasting for EURUSD using EViews software and a further evaluation of forecasting results using the programs in EViews. The forecast involves regression models and is evaluated by means of an Expert Advisor developed for MetaTrader 4.