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Traders are people just like everyone else, they want to get maximum results for the trading robots creation of effort. There are several articles describing how to create an automated trading system using the wizard, including a "light version" MQL5 Wizard for Dummies and a "version from developers " - MQL5 Wizard: New Version.
It all seems good - a trading robot is created in 5 mouse clicks, you can test it in the Strategy Tester and optimize the parameters of a trading system, you can let the resulting robot trade on your account without the need to do anything else manually. CExpert is the class for creating a trading robot; this is the class that trades.
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CExpertSignal is a class for creating a module of trading signals; the article is about this class. CExpertTrailing is a class for trailing a protecting Stop Loss. CExpertMoney is the money management class. Here is the whole force of the "great and terrible" approach that is called Object-oriented programming OOP.
But don't be afraid, now almost everyone has a cell phone with lots of function, and almost no one knows how it trading robots creation. We do not need to study all this, we will only discuss some functions of the CExpertSignal class.
In this article we will go through the stages of creating a module of trading signalsand you will see how to do this without having to learn OOP or the classes. But if you want, you can go a little further then.
Creating a Class from Scratch We will not alter any existing module of trading signals to our needs, because it's the way to get confused. Right-click on the folder we have created, select "New File" and create a new class for our module of trading signals. Fill in the fields: Class Name - the name of the class. Base Name is the class from which our class is derived.
And we should derive it from the base class CExpertSignal. Click "Finish" and a draft of our module us ready.
It's all east so trading robots creation. We only need to add the include declaration to the resulting file so that the compiler knows where to find the base class CExpertSignal include ".
There are no errors and we can move on. We reach the step of selecting a module of trading signals and see And how can it be there? We do not add any indications for the MQL5 Wizard to understand that our class could be something useful. Let's fix this. If you look at the modules of the standard package, you'll see that each of them contains a header at the beginning of the file. This is the handle of the module compiled according to certain rules.
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And the rules are very simple. Open, for example, the source code of the module of AMA based trading signals see the logic description in Signals of the Adaptive Moving Average. And run the MQL5 Wizard choosing this module. Compare: The last block in the handle refers to the module parameters, the first line contains the name earn bitcoins fast a lot the module to be displayed in the MQL5 Wizard.
As you can see, there is nothing complicated. Type - the version of the module of signals. It must always be SignalAdvanced.
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Name - the name of the module after its is selected in the MQL5 Wizard and is used in comments for describing internal parameters of the generated Expert Advisor preferably specified. Class - the name of the, which is contained in the module. Page - a parameter to get Help for this module only for modules from the standard delivery.
The parameter type can be enumeration. The default value for the parameter, i. Now, knowing all this, let's create the handle of our module of trading signals.
So, we are writing a module for getting trading signals at the intersection of two moving averages. We need to set at least four external parameters: FastPeriod - the period of the fast moving average FastMethod - the type of smoothing of the fast moving average SlowPeriod - the period of the slow moving average SlowMethod - the type of smoothing of the slow moving average You could also add a shift and the type of prices to calculate each of the moving averages, but it does not change anything fundamentally.
Four external parameter to configure the trading signals. FastPeriod - the period of the fast moving average with the default value of FastMethod - the type of smoothing of the fast moving average, simple smoothing by default. SlowPeriod - the period of the slow moving average with the default value of SlowMethod - the type of smoothing of the slow moving average, simple smoothing by default. Save the changes and trading robots creation. There should not be any errors. Run the MQL5 Wizard to check.
You see, our module is now available for selection, and it shows all of our parameters! Congratulations, our module of trading signal looks great now!
Methods for Setting Parameters Now it is time to work with the external parameters. Let's add four lines equal to the number of parameters to the class declaration.
So here is a simple rule: The rule of parameter creation in the module - for each parameter that we have declared in the handle, we should create a private member in the class for storing its value and a public member for setting a value to it.
The method name must match the name of the parameter. Each declared variable or class member must be initialized. This technique allows to avoid many of hard-to-find errors. Trading robots creation automatic initialization, the best suiting one is the class constructor; it is always the first one to be called when creating an object.
For default values, we will use those written in the module handle. As you can see, we haven't used moving average indicators yet. We found a simple rule - as many parameters are stated in the handle of the module, so many methods and members should be in the class that implements the module. There is nothing complicated! However, don't forget to set default values of parameters on the constructor. In our case, we must trading robots creation the periods of moving averages and the type of smoothing for their calculation.
For this purpose you should write your own ValidationSettings method in the class. This method is defined in the parent class CExpertBaseand in all its children it is obligatorily redefined. But if you do not know anything about object-oriented programming, just remember - in our class we should write the ValidationSettings function, which requires no parameters and returns true or false.
Do not forget that the name and type of parameters must match in the declaration and description of the class method.
However, the compiler will warn you of such an error. Note that first the base class method is called, and then input parameters are checked. Where Are Our Indicators? It's time to work with the indicators, since all the preparatory work with the parameters for them have been completed.
Each module of trading signals contains the InitIndicators method, trading robots creation is automatically called when you run the generated Expert Advisor.
In this method, we must provide indicators of moving averages for our module. Above all, do not forget to insert the class name and the operator :: in the function definition. We have a draft, which we can insert into a code to create moving averages.
Let's do this properly - for each indicator we create a separate function in the class, which returns true if successful. That is why a pointer to a variable of type CIndicators is passed as a parameter. The following is written in Documentation about it: The CIndicators is a class for collecting instances of timeseries and technical indicators classes. Site quick earnings in CIndicators class provides creation of instanced of technical indicator classes, their storage and management data synchronization, handle and memory management.
This means that we must create our indicators and place them in this collection. Since only indicators of the CIndicator form and its children can be stored trading robots creation the collection, we should use this fact. We will use CiCustomwhich is the above trading robots creation child. But in this case we want to show how you trading robots creation use any custom indicator in the module of trading signals using CiCustom. Then declare the MqlParam structure, which is especially designed for storing parameters of custom indicators, and fill it with values.
Since Custom Moving Average. And the last one is specifying the number of indicator buffers using the NumBuffers method. The CreateSlowMA method for creating the slow moving average is simple.
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When using custom indicators in the module, do not forget that the Expert Advisor generated by the MQL5 Wizard will also run in the tester. So, we have added the indicators. If you need classes for working with classical indicators of the standard package, they are available in section Classes for working with indicators.
We are ready to proceed to the final stage. Define the LongCondition and ShortCondition Methods Everything is ready to make our module work and generate trading signals. This functionality is provided by two methods that must be described in each child of CExpertSignal : LongCondition checks the buy conditions and returns the strength of the Long signal from 0 to ShortCondition - checks the sell condition and returns the strength of the Short signal from 0 to If the function returns a null value, it means that there is no trading signal.
If there are conditions for the signal, then you can estimate the strength of the signal and return any value not exceeding Evaluation of the signal strength allows you to flexibly build trading systems based on several modules and market models. Since we are writing a simple module of trading signals, we can agree that the buy and sell signals are valued equally Let's add necessary methods in the class declaration. The StartIndex function returns 0, if the Expert Advisor is designed to work on all ticks, and in this case the analysis starts with the current bar.
If the Expert Advisor is designed to work at open prices, StartIndex returns 1 and the analysis starts with the last formed bar. By default StartIndex returns 1, which means that the Expert Advisor generated by the MQL5 Wizard will only run at the opening of trading robots creation new bar and will ignore incoming ticks during formation of the current bar.
How to activate this mode and how it can be used will be described later in the finishing stroke. The module is ready for use, so let's create a trading robot in the MQL5 Wizard based on this module. All other parameters have also been added by the MQL5 Wizard while generating the EA based on the selected money management module and position maintenance module Trailing Stop. Thus, we only had to trading robots creation a module of trading signals and received a ready solution.
This is the main advantage of using the Trading robots creation Wizard! Now let's test the trading robot in the MetaTrader 5 Strategy Tester. Let's try to run a quick optimization of key parameters.
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In these settings of input parameters, more than half a million of passes is required trading robots creation full optimization. Therefore, we choose fast optimization genetic algorithm and additionally utilize MQL5 Cloud Network to accelerate the optimization. The optimization has been done in 10 minutes and we have got the results.
As you can see, creating a trading robot in MQL5 and optimization of input parameters have taken much less time than would be required for writing the position management servicing logic, debugging and searching for the best algorithms. Finishing Stroke You can skip this item or go back to it later when you are completely comfortable with the technique of writing a module of trading signals.
Based on this variable, the StartIndex function returns its value. It communicates to the Expert Advisor the mode trading robots creation should run in. Do this only if you understand how it works. Not all trading systems are designed to work inside the bar. Just create a module of trading signals and, based on this module, automatically generate a trading robot with the enabled trailing and trade volume management modules.
Our module of trading signals will be stored there. Create a module handle that describes the parameters, their type and default values. Declare module parameters in the class and add methods for initialization in the constructor. Check the input parameters and do not forget to call ValidationSettings of the CExpertSignal base class. Create indicator-objects and add a predefined initialization method InitIndicators.