New Opportunities with MetaTrader 5
MetaTrader 4 gained its popularity with traders from all over the world, and it seemed like nothing more could be wished for. With its high processing speed, stability, wide array of possibilities for writing indicators, Expert Advisors, and informatory-trading systems, and the ability to chose from over a hundred different brokers, - the terminal greatly distinguished itself from the rest. But time doesn’t stand still, and we find ourselves facing a choice of MetaTrade 4 or MetaTrade 5. In this article, we will describe the main differences of the 5th generation terminal from our current favor.
Graph Theory: Dijkstra's Algorithm Applied in Trading
Dijkstra's algorithm, a classic shortest-path solution in graph theory, can optimize trading strategies by modeling market networks. Traders can use it to find the most efficient routes in the candlestick chart data.
Graphics in DoEasy library (Part 93): Preparing functionality for creating composite graphical objects
In this article, I will start developing the functionality for creating composite graphical objects. The library will support creating composite graphical objects allowing those objects have any hierarchy of connections. I will prepare all the necessary classes for subsequent implementation of such objects.
News Trading Made Easy (Part 1): Creating a Database
News trading can be complicated and overwhelming, in this article we will go through steps to obtain news data. Additionally we will learn about the MQL5 Economic Calendar and what it has to offer.
The MQL5 Standard Library Explorer (Part 1): Introduction with CTrade, CiMA, and CiATR
The MQL5 Standard Library plays a vital role in developing trading algorithms for MetaTrader 5. In this discussion series, our goal is to master its application to simplify the creation of efficient trading tools for MetaTrader 5. These tools include custom Expert Advisors, indicators, and other utilities. We begin today by developing a trend-following Expert Advisor using the CTrade, CiMA, and CiATR classes. This is an especially important topic for everyone—whether you are a beginner or an experienced developer. Join this discussion to discover more.
Population optimization algorithms: Harmony Search (HS)
In the current article, I will study and test the most powerful optimization algorithm - harmonic search (HS) inspired by the process of finding the perfect sound harmony. So what algorithm is now the leader in our rating?
MQL5 Cookbook — Macroeconomic events database
The article discusses the possibilities of handling databases based on the SQLite engine. The CDatabase class has been formed for convenience and efficient use of OOP principles. It is subsequently involved in the creation and management of the database of macroeconomic events. The article provides the examples of using multiple methods of the CDatabase class.
DoEasy. Controls (Part 6): Panel control, auto resizing the container to fit inner content
In the article, I will continue my work on the Panel WinForms object and implement its auto resizing to fit the general size of Dock objects located inside the panel. Besides, I will add the new properties to the Symbol library object.
DRAKON visual programming language — communication tool for MQL developers and customers
DRAKON is a visual programming language designed to simplify interaction between specialists from different fields (biologists, physicists, engineers...) with programmers in Russian space projects (for example, in the Buran reusable spacecraft project). In this article, I will talk about how DRAKON makes the creation of algorithms accessible and intuitive, even if you have never encountered code, and also how it is easier for customers to explain their thoughts when ordering trading robots, and for programmers to make fewer mistakes in complex functions.
Introduction to MQL5 (Part 16): Building Expert Advisors Using Technical Chart Patterns
This article introduces beginners to building an MQL5 Expert Advisor that identifies and trades a classic technical chart pattern — the Head and Shoulders. It covers how to detect the pattern using price action, draw it on the chart, set entry, stop loss, and take profit levels, and automate trade execution based on the pattern.
Build Self Optimizing Expert Advisors in MQL5 (Part 6): Stop Out Prevention
Join us in our discussion today as we look for an algorithmic procedure to minimize the total number of times we get stopped out of winning trades. The problem we faced is significantly challenging, and most solutions given in community discussions lack set and fixed rules. Our algorithmic approach to solving the problem increased the profitability of our trades and reduced our average loss per trade. However, there are further advancements to be made to completely filter out all trades that will be stopped out, our solution is a good first step for anyone to try.
Timeseries in DoEasy library (part 48): Multi-period multi-symbol indicators on one buffer in a subwindow
The article considers an example of creating multi-symbol multi-period standard indicators using a single indicator buffer for construction and working in the indicator subwindow. I am going to prepare the library classes for working with standard indicators working in the program main window and having more than one buffer for displaying their data.
Population optimization algorithms
This is an introductory article on optimization algorithm (OA) classification. The article attempts to create a test stand (a set of functions), which is to be used for comparing OAs and, perhaps, identifying the most universal algorithm out of all widely known ones.
Graphics in DoEasy library (Part 85): Graphical object collection - adding newly created objects
In this article, I will complete the development of the descendant classes of the abstract graphical object class and start implementing the ability to store these objects in the collection class. In particular, I will create the functionality for adding newly created standard graphical objects to the collection class.
Cycles and Forex
Cycles are of great importance in our lives. Day and night, seasons, days of the week and many other cycles of different nature are present in the life of any person. In this article, we will consider cycles in financial markets.
DoEasy. Controls (Part 7): Text label control
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.
Sentiment Analysis and Deep Learning for Trading with EA and Backtesting with Python
In this article, we will introduce Sentiment Analysis and ONNX Models with Python to be used in an EA. One script runs a trained ONNX model from TensorFlow for deep learning predictions, while another fetches news headlines and quantifies sentiment using AI.
Graphics in DoEasy library (Part 100): Making improvements in handling extended standard graphical objects
In the current article, I will eliminate obvious flaws in simultaneous handling of extended (and standard) graphical objects and form objects on canvas, as well as fix errors detected during the test performed in the previous article. The article concludes this section of the library description.
Price Action Analysis Toolkit Development (Part 7): Signal Pulse EA
Unlock the potential of multi-timeframe analysis with 'Signal Pulse,' an MQL5 Expert Advisor that integrates Bollinger Bands and the Stochastic Oscillator to deliver accurate, high-probability trading signals. Discover how to implement this strategy and effectively visualize buy and sell opportunities using custom arrows. Ideal for traders seeking to enhance their judgment through automated analysis across multiple timeframes.
Adaptive Smart Money Architecture (ASMA): Merging SMC Logic With Market Sentiment for Dynamic Strategy Switching
This topic explores how to build an Adaptive Smart Money Architecture (ASMA)—an intelligent Expert Advisor that merges Smart Money Concepts (Order Blocks, Break of Structure, Fair Value Gaps) with real-time market sentiment to automatically choose the best trading strategy depending on current market conditions.
News Trading Made Easy (Part 2): Risk Management
In this article, inheritance will be introduced into our previous and new code. A new database design will be implemented to provide efficiency. Additionally, a risk management class will be created to tackle volume calculations.
Population optimization algorithms: Gravitational Search Algorithm (GSA)
GSA is a population optimization algorithm inspired by inanimate nature. Thanks to Newton's law of gravity implemented in the algorithm, the high reliability of modeling the interaction of physical bodies allows us to observe the enchanting dance of planetary systems and galactic clusters. In this article, I will consider one of the most interesting and original optimization algorithms. The simulator of the space objects movement is provided as well.
DoEasy. Controls (Part 10): WinForms objects — Animating the interface
It is time to animate the graphical interface by implementing the functionality for object interaction with users and objects. The new functionality will also be necessary to let more complex objects work correctly.
Population optimization algorithms: Fish School Search (FSS)
Fish School Search (FSS) is a new optimization algorithm inspired by the behavior of fish in a school, most of which (up to 80%) swim in an organized community of relatives. It has been proven that fish aggregations play an important role in the efficiency of foraging and protection from predators.
Implementing the Janus factor in MQL5
Gary Anderson developed a method of market analysis based on a theory he dubbed the Janus Factor. The theory describes a set of indicators that can be used to reveal trends and assess market risk. In this article we will implement these tools in mql5.
Reimagining Classic Strategies (Part 19): Deep Dive Into Moving Average Crossovers
This article revisits the classic moving average crossover strategy and examines why it often fails in noisy, fast-moving markets. It presents five alternative filtering methods designed to strengthen signal quality and remove weak or unprofitable trades. The discussion highlights how statistical models can learn and correct the errors that human intuition and traditional rules miss. Readers leave with a clearer understanding of how to modernize an outdated strategy and of the pitfalls of relying solely on metrics like RMSE in financial modeling.
Risk manager for manual trading
In this article we will discuss in detail how to write a risk manager class for manual trading from scratch. This class can also be used as a base class for inheritance by algorithmic traders who use automated programs.
Price Action Analysis Toolkit Development (Part 11): Heikin Ashi Signal EA
MQL5 offers endless opportunities to develop automated trading systems tailored to your preferences. Did you know it can even perform complex mathematical calculations? In this article, we introduce the Japanese Heikin-Ashi technique as an automated trading strategy.
Matrices and vectors in MQL5: Activation functions
Here we will describe only one of the aspects of machine learning - activation functions. In artificial neural networks, a neuron activation function calculates an output signal value based on the values of an input signal or a set of input signals. We will delve into the inner workings of the process.
Creating a Trading Administrator Panel in MQL5 (Part I): Building a Messaging Interface
This article discusses the creation of a Messaging Interface for MetaTrader 5, aimed at System Administrators, to facilitate communication with other traders directly within the platform. Recent integrations of social platforms with MQL5 allow for quick signal broadcasting across different channels. Imagine being able to validate sent signals with just a click—either "YES" or "NO." Read on to learn more.
Сode Lock Algorithm (CLA)
In this article, we will rethink code locks, transforming them from security mechanisms into tools for solving complex optimization problems. Discover the world of code locks viewed not as simple security devices, but as inspiration for a new approach to optimization. We will create a whole population of "locks", where each lock represents a unique solution to the problem. We will then develop an algorithm that will "pick" these locks and find optimal solutions in a variety of areas, from machine learning to trading systems development.
Developing a Custom Market Sentiment Indicator
In this article we are developing a custom market sentiment indicator to classify conditions into bullish, bearish, risk-on, risk-off, or neutral. Using multi-timeframe, the indicator can provide traders with a clearer perspective of overall market bias and short-term confirmations.
Graphics in DoEasy library (Part 84): Descendant classes of the abstract standard graphical object
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.
Example of new Indicator and Conditional LSTM
This article explores the development of an Expert Advisor (EA) for automated trading that combines technical analysis with deep learning predictions.
From Novice to Expert: Auto-Geometric Analysis System
Geometric patterns offer traders a concise way to interpret price action. Many analysts draw trend lines, rectangles, and other shapes by hand, and then base trading decisions on the formations they see. In this article, we explore an automated alternative: harnessing MQL5 to detect and analyze the most popular geometric patterns. We’ll break down the methodology, discuss implementation details, and highlight how automated pattern recognition can sharpen a trader's market insights.
Price Action Analysis Toolkit Development (Part 56): Reading Session Acceptance and Rejection with CPI
This article presents a session-based analytical framework that combines time-defined market sessions with the Candle Pressure Index (CPI) to classify acceptance and rejection behavior at session boundaries using closed-candle data and clearly defined rules.
DoEasy. Controls (Part 18): Functionality for scrolling tabs in TabControl
In this article, I will place header scrolling control buttons in TabControl WinForms object in case the header bar does not fit the size of the control. Besides, I will implement the shift of the header bar when clicking on the cropped tab header.
Self Optimizing Expert Advisors in MQL5 (Part 11): A Gentle Introduction to the Fundamentals of Linear Algebra
In this discussion, we will set the foundation for using powerful linear, algebra tools that are implemented in the MQL5 matrix and vector API. For us to make proficient use of this API, we need to have a firm understanding of the principles in linear algebra that govern intelligent use of these methods. This article aims to get the reader an intuitive level of understanding of some of the most important rules of linear algebra that we, as algorithmic traders in MQL5 need,to get started, taking advantage of this powerful library.
Timeseries in DoEasy library (part 52): Cross-platform nature of multi-period multi-symbol single-buffer standard indicators
In the article, consider creation of multi-symbol multi-period standard indicator Accumulation/Distribution. Slightly improve library classes with respect to indicators so that, the programs developed for outdated platform MetaTrader 4 based on this library could work normally when switching over to MetaTrader 5.
Gain An Edge Over Any Market (Part V): FRED EURUSD Alternative Data
In today’s discussion, we used alternative Daily data from the St. Louis Federal Reserve on the Broad US-Dollar Index and a collection of other macroeconomic indicators to predict the EURUSD future exchange rate. Unfortunately, while the data appears to have almost perfect correlation, we failed to realize any material gains in our model accuracy, possibly suggesting to us that investors may be better off using ordinary market quotes instead.