History of MQL5.community development

We now know that probability density function (PDF) of a market cycle does not remind a Gaussian but rather a PDF of a sine wave and most of the indicators assume that the market cycle PDF is Gaussian we need a way to "correct" that. The solution is to use Fisher Transform. The Fisher transform changes PDF of any waveform to approximately Gaussian. This article describes the mathematics behind the Fisher Transform and the Inverse Fisher Transform and their application to trading. A proprietary trading signal module based on the Inverse Fisher Transform is presented and evaluated.

The article deals with the methods of indicators computational algorithms optimization. Everyone will find a method that suits his/her needs best. Three methods are described here.One of them is quite simple, the next one requires solid knowledge of Math and the last one requires some wit. Indicators or MetaTrader5 terminal design features are used to realize most of the described methods. The methods are quite universal and can be used not only for acceleration of the linear regression calculation, but also for many other indicators.

The article presents the indicators, described in the book by William Blau "Momentum, Direction, and Divergence". William Blau's approach allows us to promptly and accurately approximate the fluctuations of the price curve, to determine the trend of the price movements and the turning points, and eliminate the price noise. Meanwhile, we are also able to detect the overbought/oversold states of the market, and signals, indicating the end of a trend and reversal of the price movement.

Even simple programs may often have errors that seem to be unbelievable. "How could I create that?" is our first thought when such an error is revealed. "How can I avoid that?" is the second question which comes to our mind less frequently. It is impossible to create absolutely faultless code, especially in big projects, but it is possible to use technologies for their timely detection. The article describes how the MQL4 code quality can be enhanced with the help of the popular Unit Testing method.