Articles

The more factors influence the behavior of a currency pair, the more difficult it is to evaluate its behavior and make up future forecasts. Therefore, if we managed to extract components of a currency pair, values of a national currency that change with the time, we could considerably delimit the freedom of national currency movement as compared to the currency pair with this currency, as well as the number of factors influencing its behavior. As a result we would increase the accuracy of its behavior estimation and future forecasting. How can we do that?

The main point of this article is to show a practical way to implement an effective MM. This can be achieved only by using a certain kind of strategies that we need to identify and describe first. In the following we’ll cover the basic concepts of how to build such a strategy and we’ll point out the common mistakes which always end up in draining a trader’s account.

This article shows you how to easily use Neural Networks in your MQL4 code taking advantage of best freely available artificial neural network library (FANN) employing multiple neural networks in your code.

In practical work a trader can face the following situation: it is necessary to get "alert" or a text message on a display (in a chart window) indicating about an appeared signal of an indicator. The article contains an example of displaying information about graphical objects created by an external indicator.

The article describes rules of marking patterns of Wolfe Waves. You will find here details of constructing and rules of accurate marking, which help to find correct formations of waves quickly and correctly.

The article describes custom averaging functions of higher quality developed by the author: JJMASeries(), JurXSeries(), JLiteSeries(), ParMASeries(), LRMASeries(), T3Series() and MASeries(). The author considers the hot substitution of these functions in indicators using the call of the SmoothXSeries() function.

The article is intended for beginners in baking "multi-layered" cakes.

Numerous attempts to apply statistical methods to the objective reality, i.e. to financial series, crash when met with the nonstationarity of processes, "fat tails" of accompanying probability distributions, and insufficient volume of financial data.

In this publication I will try to refer not to the financial series as such, but to their subjective presentation - in this case, to the way a trader tries to halter the series, i.e. to the trading system. The eduction of statistical regularities of the trading results process is a rather enthralling task. In some cases quite true conclusions about the model of this process can be made, and these can be applied to the trading system.

The article describes the contents of the program folder of MetaTrader 4 Client Terminal. The article will be useful for those who have already started to grasp into the details of the client terminal operation.

What indicator of trading alerts or just the methods of their calculating to use is usually decided when testing EAs using these alerts. However, it is not always possible/necessary/reasonable to write an EA for each indicator. You can promptly calculate the profitability of trading on the alerts from other indicators, using a special indicator that collects their alerts itself and draws a picture of ideal trading with them. It can help you both make a visual estimate of the results obtained and quickly choose most optimal parameters.