In this article I will discuss the development of Expert Advisor, based on the book "New Trading Dimensions: How to Profit from Chaos in Stocks, Bonds, and Commodities" by Bill Williams. The strategy itself is well known and its use is still controversial among traders. The article considers trading signals of the system, the specifics of its implementation, and the results of testing on historical data.
Is there any correlation between the past price behavior and its future trends? Why does the price repeat today the character of its previous day movement? Can the statistics be used to forecast the price dynamics? There is an answer, and it is positive. If you have any doubt, then this article is for you. I'll tell how to create a working filter for a trading system in MQL5, revealing an interesting pattern in price changes.
Debate about an optimal way of calculating indicators is endless. Where should we calculate the indicator values - in the indicator itself or embed the entire logic in a Expert Advisor that uses it? The article describes one of the variants of moving the source code of a custom indicator iCustom right in the code of an Expert Advisor or script with optimization of calculations and modeling the prev_calculated value.
Time has been a great value throughout the history of mankind, and we strive not to waste it unnecessarily. This article will tell you how to accelerate the work of your Expert Advisor if your computer has a multi-core processor. Moreover, the implementation of the proposed method does not require the knowledge of any other languages besides MQL5.
This article is intended to get its readers acquainted with a possible variant of using graphical objects of the MQL5 language. It analyses an indicator, which implements a panel of managing a simple spectrum analyzer using the graphical objects. The article is meant for readers acquianted with basics of MQL5.
MetaEditor 5 has the debugging feature. But when you write your MQL5 programs, you often want to display not the individual values, but all messages that appear during testing and online work. When the log file contents have large size, it is obvious to automate quick and easy retrieval of required message. In this article we will consider ways of finding errors in MQL5 programs and methods of logging. Also we will simplify logging into files and will get to know a simple program LogMon for comfortable viewing of logs.
This article is about traditional and unusual algorithms of averaging packed in simplest and single-type classes. They are intended for universal usage in almost all developments of indicators. I hope that the suggested classes will be a good alternative to 'bulky' calls of custom and technical indicators.