This article discusses the implementation of various methods of time filtering a cross-platform expert advisor. The time filter classes are responsible for checking whether or not a given time falls under a certain time configuration setting.
The article deals with developing custom graphical indicators using graphical primitives of the CCanvas class.
Analyzing Balance/Equity graphs by symbols and EAs' ORDER_MAGIC
With the introduction of hedging, MetaTrader 5 provides an excellent opportunity to trade several Expert Advisors on a single trading account simultaneously. When one strategy is profitable, while the second one is loss-making, the profit graph may hang around zero. In this case, it is useful to build the Balance and Equity graphs for each trading strategy separately.
The graphical method proposed by Bill Wolfe allows to detect a pattern, based on which a moment and direction for entry can be found, and also it helps forecast the target which the price should reach, as well as the time of target reaching. The article describes how to create an indicator based on a ZigZag, that would search for Wolfe Waves, and a simple Expert Advisor trading based on this indicator.
Cross-Platform Expert Advisor: Signals
This article discusses the CSignal and CSignals classes which will be used in cross-platform expert advisors. It examines the differences between MQL4 and MQL5 on how particular data needed for evaluation of trade signals are accessed to ensure that the code written will be compatible with both compilers.
An example of an indicator drawing Support and Resistance lines
The article provides an example of how to implement an indicator for drawing support and resistance lines based on formalized conditions. In addition to having a ready-to-use indicator, you will see how simple the indicator creation process is. You will also learn how to formulate conditions for drawing any desired line by changing the indicator code.
Cross-Platform Expert Advisor: Money Management
This article discusses the implementation of money management method for a cross-platform expert advisor. The money management classes are responsible for the calculation of the lot size to be used for the next trade to be entered by the expert advisor.
Graphical Interfaces X: Text selection in the Multiline Text box (build 13)
This article will implement the ability to select text using various key combinations and deletion of the selected text, similar to the way it is done in any other text editor. In addition, we will continue to optimize the code and prepare the classes to move on to the final process of the second stage of the library's evolution, where all controls will be rendered as separate images (canvases).
Analyzing Balance/Equity graphs by symbols and EAs' ORDER_MAGIC
With the introduction of hedging, MetaTrader 5 provides an excellent opportunity to trade several Expert Advisors on a single trading account simultaneously. When one strategy is profitable, while the second one is loss-making, the profit graph may hang around zero. In this case, it is useful to build the Balance and Equity graphs for each trading strategy separately.
Cross-Platform Expert Advisor: Signals
This article discusses the CSignal and CSignals classes which will be used in cross-platform expert advisors. It examines the differences between MQL4 and MQL5 on how particular data needed for evaluation of trade signals are accessed to ensure that the code written will be compatible with both compilers.
The graphical method proposed by Bill Wolfe allows to detect a pattern, based on which a moment and direction for entry can be found, and also it helps forecast the target which the price should reach, as well as the time of target reaching. The article describes how to create an indicator based on a ZigZag, that would search for Wolfe Waves, and a simple Expert Advisor trading based on this indicator.
This article discusses the implementation of money management method for a cross-platform expert advisor. The money management classes are responsible for the calculation of the lot size to be used for the next trade to be entered by the expert advisor.
The article considers the ideology and methodology of building a recommendatory system for time-efficient trading by combining the capabilities of forecasting with the singular spectrum analysis (SSA) and important machine learning method on the basis of Bayes' Theorem.
