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Technical Analysis: What Do We Analyze?
Technical Analysis: What Do We Analyze?
This article tries to analyze several peculiarities of representation of quotes available in the MetaTrader client terminal. The article is general, it doesn't concern programming.
Finding Errors and Logging
Finding Errors and Logging
MetaEditor 5 has the debugging feature. But when you write your MQL5 programs, you often want to display not the individual values, but all messages that appear during testing and online work. When the log file contents have large size, it is obvious to automate quick and easy retrieval of required message. In this article we will consider ways of finding errors in MQL5 programs and methods of logging. Also we will simplify logging into files and will get to know a simple program LogMon for comfortable viewing of logs.
Controlling the Slope of Balance Curve During Work of an Expert Advisor
Controlling the Slope of Balance Curve During Work of an Expert Advisor
Finding rules for a trade system and programming them in an Expert Advisor is a half of the job. Somehow, you need to correct the operation of the Expert Advisor as it accumulates the results of trading. This article describes one of approaches, which allows improving performance of an Expert Advisor through creation of a feedback that measures slope of the balance curve.
The Use of the MQL5 Standard Trade Class libraries in writing an Expert Advisor
The Use of the MQL5 Standard Trade Class libraries in writing an Expert Advisor
This article explains how to use the major functionalities of the MQL5 Standard Library Trade Classes in writing Expert Advisors which implements position closing and modifying, pending order placing and deletion and verifying of Margin before placing a trade. We have also demonstrated how Trade classes can be used to obtain order and deal details.
Creating Multi-Colored Indicators in MQL5
Creating Multi-Colored Indicators in MQL5
In this article, we will consider how to create multi-colored indicators or convert the existing ones to multi-color. MQL5 allows to represent the information in the convenient form. Now it isn't necessary to look at a dozen of charts with indicators and perform analyses of the RSI or Stochastic levels, it's better just to paint the candles with different colors depending on the values of the indicators.
How to Create Your Own Trailing Stop
How to Create Your Own Trailing Stop
The basic rule of trader - let profit to grow, cut off losses! This article considers one of the basic techniques, allowing to follow this rule - moving the protective stop level (Stop loss level) after increasing position profit, i.e. - Trailing Stop level. You'll find the step by step procedure to create a class for trailing stop on SAR and NRTR indicators. Everyone will be able to insert this trailing stop into their experts or use it independently to control positions in their accounts.
20 Trade Signals in MQL5
20 Trade Signals in MQL5
This article will teach you how to receive trade signals that are necessary for a trade system to work. The examples of forming 20 trade signals are given here as separate custom functions that can be used while developing Expert Advisors. For your convenience, all the functions used in the article are combined in a single mqh include file that can be easily connected to a future Expert Advisor.
The Optimal Method for Calculation of Total Position Volume by Specified Magic Number
The Optimal Method for Calculation of Total Position Volume by Specified Magic Number
The problem of calculation of the total position volume of the specified symbol and magic number is considered in this article. The proposed method requests only the minimum necessary part of the history of deals, finds the closest time when the total position was equal to zero, and performs the calculations with the recent deals. Working with global variables of the client terminal is also considered.
Creating an Expert Advisor, which Trades on a Number of Instruments
Creating an Expert Advisor, which Trades on a Number of Instruments
The concept of diversification of assets on financial markets is quiet old, and has always attracted beginner traders. In this article, the author proposes a maximally simple approach to a construction of a multi-currency Expert Advisor, for an initial introduction to this direction of trading strategies.
OOP in MQL5 by Example: Processing Warning and Error Codes
OOP in MQL5 by Example: Processing Warning and Error Codes
The article describes an example of creating a class for working with the trade server return codes and all the errors that occur during the MQL-program run. Read the article, and you will learn how to work with classes and objects in MQL5. At the same time, this is a convenient tool for handling errors; and you can further change this tool according to your specific needs.
Transferring Indicators from MQL4 to MQL5
Transferring Indicators from MQL4 to MQL5
This article is dedicated to peculiarities of transferring price constructions written in MQL4 to MQL5. To make the process of transferring indicator calculations from MQL4 to MQL5 easier, the mql4_2_mql5.mqh library of functions is suggested. Its usage is described on the basis of transferring of the MACD, Stochastic and RSI indicators.
Connection of Expert Advisor with ICQ in MQL5
Connection of Expert Advisor with ICQ in MQL5
This article describes the method of information exchange between the Expert Advisor and ICQ users, several examples are presented. The provided material will be interesting for those, who wish to receive trading information remotely from a client terminal, through an ICQ client in their mobile phone or PDA.
Creating Active Control Panels in MQL5 for Trading
Creating Active Control Panels in MQL5 for Trading
The article covers the problem of development of active control panels in MQL5. Interface elements are managed by the event handling mechanism. Besides, the option of a flexible setup of control elements properties is available. The active control panel allows working with positions, as well setting, modifying and deleting market and pending orders.
Creating Tick Indicators in MQL5
Creating Tick Indicators in MQL5
In this article, we will consider the creation of two indicators: the tick indicator, which plots the tick chart of the price and tick candle indicator, which plot candles with the specified number of ticks. Each of the indicators writes the incoming prices into a file, and uses the saved data after the restart of the indicator (these data also can be used by the other programs)
MQL for "Dummies": How to Design and Construct Object Classes
MQL for "Dummies": How to Design and Construct Object Classes
By creating a sample program of visual design, we demonstrate how to design and construct classes in MQL5. The article is written for beginner programmers, who are working on MT5 applications. We propose a simple and easy grasping technology for creating classes, without the need to deeply immerse into the theory of object-oriented programming.
Creating an Indicator with Multiple Indicator Buffers for Newbies
Creating an Indicator with Multiple Indicator Buffers for Newbies
The complex codes consist of a set of simple codes. If you are familiar with them, it doesn't look so complicated. In this article, we will consider how to create an indicator with multiple indicator buffers. As an example, the Aroon indicator is analyzed in details, and two different versions of the code are presented.
The Drawing Styles in MQL5
The Drawing Styles in MQL5
There are 6 drawing styles in MQL4 and 18 drawing styles in MQL5. Therefore, it may be worth writing an article to introduce MQL5's drawing styles. In this article, we will consider the details of drawing styles in MQL5. In addition, we will create an indicator to demonstrate how to use these drawing styles, and refine the plotting.
How to call indicators in MQL5
How to call indicators in MQL5
With new version of MQL programming language available not only the approach of dealing with indicators have changed, but there are also new ways of how to create indicators. Furthermore, you have additional flexibility working with indicator's buffers - now you can specify the desired direction of indexing and get exactly as many indicator's values as you want. This article explains the basic methods of calling indicators and retrieving data from the indicator's buffers.
Creating an Indicator with Graphical Control Options
Creating an Indicator with Graphical Control Options
Those who are familiar with market sentiments, know the MACD indicator (its full name is Moving Average Convergence/Divergence) - the powerful tool for analyzing the price movement, used by traders from the very first moments of appearance of the computer analysis methods. In this article we'll consider possible modifications of MACD and implement them in one indicator with the possibility to graphically switch between the modifications.
Processing of trade events in Expert Advisor using the OnTrade() function
Processing of trade events in Expert Advisor using the OnTrade() function
MQL5 gave a mass of innovations, including work with events of various types (timer events, trade events, custom events, etc.). Ability to handle events allows you to create completely new type of programs for automatic and semi-automatic trading. In this article we will consider trade events and write some code for the OnTrade() function, that will process the Trade event.
Custom Indicators in MQL5 for Newbies
Custom Indicators in MQL5 for Newbies
Any new subject seems complicated and hard-to-learn for a newbie. Subjects that we know seem very simple and clear to us. But we simply do not remember, that everyone has to study something from scratch, and even our native language. The same is with the MQL5 programming language that offers wide possibilities of developing one's own trading strategies - you can start learning it from basic notions and simplest examples. Interaction of a technical indicator with the MetaTrader 5 client terminal is consider in this article on the example of the simple custom indicator SMA.
Using the Object Pointers in MQL5
Using the Object Pointers in MQL5
By default, all objects in MQL5 are passed by reference, but there is a possibility to use the object pointers. However it's necessary to perform the pointer checking, because the object may be not initialized. In this case, the MQL5 program will be terminated with critical error and unloaded. The objects, created automatically, doesn't cause such an error, so in this sence, they are quite safe. In this article, we will try to understand the difference between the object reference and object pointer, and consider how to write secure code, that uses the pointers.
Introduction to MQL5: How to write simple Expert Advisor and Custom Indicator
Introduction to MQL5: How to write simple Expert Advisor and Custom Indicator
MetaQuotes Programming Language 5 (MQL5), included in MetaTrader 5 Client Terminal, has many new possibilities and higher performance, compared to MQL4. This article will help you to get acquainted with this new programming language. The simple examples of how to write an Expert Advisor and Custom Indicator are presented in this article. We will also consider some details of MQL5 language, that are necessary to understand these examples.
The Order of Object Creation and Destruction in MQL5
The Order of Object Creation and Destruction in MQL5
Every object, whether it is a custom object, a dynamic array or an array of objects, is created and deleted in MQL5-program in its particular way. Often, some objects are part of other objects, and the order of object deleting at deinitialization becomes especially important. This article provides some examples that cover the mechanisms of working with objects.
How to Export Quotes from МetaTrader 5 to .NET Applications Using WCF Services
How to Export Quotes from МetaTrader 5 to .NET Applications Using WCF Services
Want to organize export of quotes from MetaTrader 5 to your own application? The MQL5-DLL junction allows to create such solutions! This article will show you one of the ways to export quotes from MetaTrader 5 to applications written in .NET. For me it was more interesting, rational and easy to implement export of quotes using this very platform. Unfortunately, version 5 still does not support .NET, so like in old days we will use win32 dll with .NET support as an interlayer.
Applying One Indicator to Another
Applying One Indicator to Another
When writing an indicator that uses the short form of the OnCalculate() function call, you might miss the fact that an indicator can be calculated not only by price data, but also by data of some other indicator (no matter whether it is a built-in or custom one). Do you want to improve an indicator for its correct application to the other indicator's data? In this article we'll review all the steps required for such modification.
Dialectic Search (DA)
Dialectic Search (DA)
The article introduces the dialectical algorithm (DA), a new global optimization method inspired by the philosophical concept of dialectics. The algorithm exploits a unique division of the population into speculative and practical thinkers. Testing shows impressive performance of up to 98% on low-dimensional problems and overall efficiency of 57.95%. The article explains these metrics and presents a detailed description of the algorithm and the results of experiments on different types of functions.
Price Action Analysis Toolkit Development (Part 46): Designing an Interactive Fibonacci Retracement EA with Smart Visualization in MQL5
Price Action Analysis Toolkit Development (Part 46): Designing an Interactive Fibonacci Retracement EA with Smart Visualization in MQL5
Fibonacci tools are among the most popular instruments used by technical analysts. In this article, we’ll build an Interactive Fibonacci EA that draws retracement and extension levels that react dynamically to price movement, delivering real‑time alerts, stylish lines, and a scrolling news‑style headline. Another key advantage of this EA is flexibility; you can manually type the high (A) and low (B) swing values directly on the chart, giving you exact control over the market range you want to analyze.
Neural Networks in Trading: An Agent with Layered Memory (Final Part)
Neural Networks in Trading: An Agent with Layered Memory (Final Part)
We continue our work on creating the FinMem framework, which uses layered memory approaches that mimic human cognitive processes. This allows the model not only to effectively process complex financial data but also to adapt to new signals, significantly improving the accuracy and effectiveness of investment decisions in dynamically changing markets.
Royal Flush Optimization (RFO)
Royal Flush Optimization (RFO)
The original Royal Flush Optimization algorithm offers a new approach to solving optimization problems, replacing the classic binary coding of genetic algorithms with a sector-based approach inspired by poker principles. RFO demonstrates how simplifying basic principles can lead to an efficient and practical optimization method. The article presents a detailed analysis of the algorithm and test results.
The MQL5 Standard Library Explorer (Part 2): Connecting Library Components
The MQL5 Standard Library Explorer (Part 2): Connecting Library Components
Today, we take an important step toward helping every developer understand how to read class structures and quickly build Expert Advisors using the MQL5 Standard Library. The library is rich and expandable, yet it can feel like being handed a complex toolkit without a manual. Here we share and discuss an alternative integration routine—a concise, repeatable workflow that shows how to connect classes reliably in real projects.
Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (Final Part)
Neural Networks in Trading: A Multi-Agent Self-Adaptive Model (Final Part)
In the previous article, we introduced the multi-agent self-adaptive framework MASA, which combines reinforcement learning approaches and self-adaptive strategies, providing a harmonious balance between profitability and risk in turbulent market conditions. We have built the functionality of individual agents within this framework. In this article, we will continue the work we started, bringing it to its logical conclusion.
Overcoming The Limitation of Machine Learning (Part 6): Effective Memory Cross Validation
Overcoming The Limitation of Machine Learning (Part 6): Effective Memory Cross Validation
In this discussion, we contrast the classical approach to time series cross-validation with modern alternatives that challenge its core assumptions. We expose key blind spots in the traditional method—especially its failure to account for evolving market conditions. To address these gaps, we introduce Effective Memory Cross-Validation (EMCV), a domain-aware approach that questions the long-held belief that more historical data always improves performance.