Articles with MQL5 programming examples

In this article, I will fix the names of WinForms object class methods and create Button and RadioButton WinForms objects.

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.

Many people who consider themselves MQL5 programmers do not have the basic knowledge that I will outline in this article. Many people consider MQL5 to be a limited tool, but the actual reason is that they do not have the required knowledge. So, if you don't know something, don't be ashamed of it. It's better to feel ashamed for not asking. Simply forcing MetaTrader 5 to disable indicator duplication in no way ensures two-way communication between the indicator and the Expert Advisor. We are still very far from this, but the fact that the indicator is not duplicated on the chart gives us some confidence.

In the current article, I will create the class of the WinForms text label control object. Such an object will have the ability to position its container anywhere, while its own functionality will repeat the functionality of the MS Visual Studio text label. We will be able to set font parameters for a displayed text.

In this article, I will implement handling Padding (internal indents/margin on all sides of an element) and Dock parameters (the way an object is located inside its container).

In this article we explore the application of digital filters on time series represented in the frequency domain so as to extract unique features that may be useful to prediction models.

The article considers creation of 'GroupBox' and 'CheckBox' WinForms objects, as well as the development of base objects for WinForms object categories. All created objects are still static, i.e. they are unable to interact with the mouse.

In the current article, I will start developing the SplitContainer control from the MS Visual Studio toolkit. This control consists of two panels separated by a vertical or horizontal movable separator.

The present article contemplates the wide opportunities of the statistic approach to marketing. Unfortunately, beginner traders deliberately fail to apply the really mighty science of statistics. Meanwhile, it is the only thing they use subconsciously while analyzing the market. Besides, statistics can give answers to many questions.

In this article we will write a simple library for the construction of 3D graphs and their further viewing in Microsoft Excel. We will use standard MQL4 options to prepare and export data into *.csv file.

Understanding the subtle dynamics behind price movements can give you a critical edge. One such phenomenon is the liquidity sweep, a deliberate strategy that large traders, especially institutions, use to push prices through key support or resistance levels. These levels often coincide with clusters of retail stop-loss orders, creating pockets of liquidity that big players can exploit to enter or exit sizeable positions with minimal slippage.

In this article, I will consider creation of descendant objects for the terminal abstract standard graphical object. The class object describes the properties that are common for all graphical objects. So, it is simply some kind of a graphical object. To clarify its affiliation with a real graphical object, we need to set the properties inherent in this particular graphical object in the descendant object class.

In this article the author dwells on some means of increasing indicators' informational value for visual trading. The author analyzes the realization of tricolor indicators, indicators, for building which data from other timeframes is used, and continues to dwell on the library of indicators, described in the article "Effective Averaging Algorithms with Minimal Lag: Use in Indicators"

When creating custom programs, code editor is of great importance. The more functions are available in the editor, the faster and more convenient is creation of the program. Many programs are created on basis of an already existing code. Do you use an indicator or a script that does not fully suit your purposes? Download the code of this program from our website and customize it for yourselves.

In the article, I will create the class of the standard graphical object memory allowing the object to save its states when its properties are modified. In turn, this allows retracting to the previous graphical object states.

All indicators can be divided into two groups: static indicators, the displaying of which, once shown, always remains the same in history and does not change with new incoming quotes, and dynamic indicators that display their status for the current moment only and are fully redrawn when a new price comes. The efficiency of a static indicator is directly visible on the chart. But how can we check whether a dynamic indicator works ok? This is the question the article is devoted to.

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In the article, complete development of objects of multi-period multi-symbol standard indicators. Using Ichimoku Kinko Hyo standard indicator example, analyze creation of compound custom indicators which have auxiliary drawn buffers for displaying data on the chart.

Script 'Trader's Assistant' helps you to make a decision on opening positions, based on the extended analysis of the MACD status for the last three bars in the real-time trading on any timeframe. It can also be used for back testing.

In the article, we will complete the development of the horizontal scrollbar object functionality. We will also make it possible to scroll the contents of the container by moving the scrollbar slider and rotating the mouse wheel, as well as make additions to the library, taking into account the new order execution policy and new runtime error codes in MQL5.

Machine learning has become a popular method for strategy development. Whilst there has been more emphasis on maximizing profitability and prediction accuracy , the importance of processing the data used to build predictive models has not received a lot of attention. In this article we consider using the concept of entropy to evaluate the appropriateness of indicators to be used in predictive model building as documented in the book Testing and Tuning Market Trading Systems by Timothy Masters.

General principles of considering orders in a large and complex program are discussed.