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From Basic to Intermediate: Struct (III)
From Basic to Intermediate: Struct (III)
In this article, we will explore what structured code is. Many people confuse structured code with organized code, but there is a difference between these two concepts. This is exactly what will be discussed in this article. Despite the apparent complexity you may feel when first encountering this type of code writing, I have tried to approach the topic as simply as possible. However, this article is just the first step toward something greater.
Market Simulation (Part 06): Transferring Information from MetaTrader 5 to Excel
Market Simulation (Part 06): Transferring Information from MetaTrader 5 to Excel
Many people, especially non=programmers, find it very difficult to transfer information between MetaTrader 5 and other programs. One such program is Excel. Many use Excel as a way to manage and maintain their risk control. It is an excellent program and easy to learn, even for those who are not VBA programmers. Here we will look at how to establish a connection between MetaTrader 5 and Excel (a very simple method).
Market Simulation (Part 07): Sockets (I)
Market Simulation (Part 07): Sockets (I)
Sockets. Do you know what they are for or how to use them in MetaTrader 5? If the answer is no, let's start by studying them. In today's article, we'll cover the basics. Since there are several ways to do the same thing, and we are always interested in the result, I want to show that there is indeed a simple way to transfer data from MetaTrader 5 to other programs, such as Excel. However, the main idea is not to transfer data from MetaTrader 5 to Excel, but the opposite, that is, to transfer data from Excel or any other program to MetaTrader 5.
Introduction to MQL5 (Part 27): Mastering API and WebRequest Function in MQL5
Introduction to MQL5 (Part 27): Mastering API and WebRequest Function in MQL5
This article introduces how to use the WebRequest() function and APIs in MQL5 to communicate with external platforms. You’ll learn how to create a Telegram bot, obtain chat and group IDs, and send, edit, and delete messages directly from MT5, building a strong foundation for mastering API integration in your future MQL5 projects.
From Basic to Intermediate: Events (II)
From Basic to Intermediate: Events (II)
In this article, we will see that not everything always needs to be implemented in a certain specific way. There are alternative approaches to problem-solving. To properly understand this article, it is necessary to grasp the concepts described in the previous articles. The materials presented here are for educational purposes only. Do not regard it as a finished application. Its purpose is to study the concepts presented here.
From Basic to Intermediate: Indicator (I)
From Basic to Intermediate: Indicator (I)
In this article, we will create our first fully practical and functional indicator. The goal is not to show how to create an application, but to help you understand how you can develop your own ideas and give you the opportunity to apply them in a safe, simple, and practical way.
From Basic to Intermediate: Indicator (II)
From Basic to Intermediate: Indicator (II)
In this article, we will examine how to implement a moving average calculation and what precautions should be taken when performing this calculation. We will also discuss overloading the OnCalculate function to know when and how to work with one model or another.
Custom Indicator Workshop (Part 2) : Building a Practical Supertrend Expert Advisor in MQL5
Custom Indicator Workshop (Part 2) : Building a Practical Supertrend Expert Advisor in MQL5
Learn how to build a Supertrend-driven Expert Advisor in MQL5 from the ground up. The article covers embedding the indicator as a resource, reading buffer values on closed bars, detecting confirmed flips, aligning and switching positions, and configuring stop-loss modes and position sizing. It concludes with Strategy Tester setup and reproducible tests, leaving you with a configurable EA and a clear framework for further research and extensions.
Introduction to MQL5 (Part 39): Beginner Guide to File Handling in MQL5 (I)
Introduction to MQL5 (Part 39): Beginner Guide to File Handling in MQL5 (I)
This article introduces file handling in MQL5 using a practical, project-based workflow. You will use FileSelectDialog to choose or create a CSV file, open it with FileOpen, and write structured account headers such as account name, balance, login, date range, and last update. The result is a clear foundation for a reusable trading journal and safe file operations in MetaTrader 5.
Integrating MQL5 with Data Processing Packages (Part 7): Building Multi-Agent Environments for Cross-Symbol Collaboration
Integrating MQL5 with Data Processing Packages (Part 7): Building Multi-Agent Environments for Cross-Symbol Collaboration
The article presents a complete Python–MQL5 integration for multi‑agent trading: MT5 data ingestion, indicator computation, per‑agent decisions, and a weighted consensus that outputs a single action. Signals are stored to JSON, served by Flask, and consumed by an MQL5 Expert Advisor for execution with position sizing and ATR‑derived SL/TP. Flask routes provide safe lifecycle control and status monitoring.
Neural Networks in Trading: Hybrid Graph Sequence Models (Final Part)
Neural Networks in Trading: Hybrid Graph Sequence Models (Final Part)
We continue exploring hybrid graph sequence models (GSM++), which integrate the advantages of different architectures, providing high analysis accuracy and efficient distribution of computing resources. These models effectively identify hidden patterns, reducing the impact of market noise and improving forecasting quality.
Larry Williams Market Secrets (Part 10): Automating Smash Day Reversal Patterns
Larry Williams Market Secrets (Part 10): Automating Smash Day Reversal Patterns
We implement Larry Williams’ Smash Day reversal patterns in MQL5 by building a rule-based Expert Advisor with dynamic risk management, breakout confirmation logic, and one trade at a time execution. Readers can backtest, reproduce, and study parameter effects using the MetaTrader 5 Strategy Tester and the provided source.
Larry Williams Market Secrets (Part 11): Detecting Smash Day Reversals with a Custom Indicator
Larry Williams Market Secrets (Part 11): Detecting Smash Day Reversals with a Custom Indicator
We convert Larry Williams’ Smash Day reversal rules into a practical MQL5 indicator that flags confirmed setups with arrows. Step by step, the text shows buffer binding, plot properties, historical mapping, and real‑time updates inside OnCalculate. Adjustable lookback parameters and clean chart rendering help you detect valid reversals quickly while keeping final trade decisions discretionary and context‑driven.
Price Action Analysis Toolkit Development (Part 60): Objective Swing-Based Trendlines for Structural Analysis
Price Action Analysis Toolkit Development (Part 60): Objective Swing-Based Trendlines for Structural Analysis
We present a rule-based approach to trendlines that avoids indicator pivots and uses ordered swings derived from raw prices. The article walks through swing detection, size qualification via ATR or fixed thresholds, and validation of ascending and descending structures, then implements these rules in MQL5 with non-repainting drawing and selective output. You get a clear, repeatable way to track structural support and resistance that holds up across market conditions.
From Basic to Intermediate: Indicator (III)
From Basic to Intermediate: Indicator (III)
In this article, we will explore how to declare various graphical representation indicators, such as DRAW_COLOR_LINE and DRAW_FILLING. Additionally, of course, we will learn how to plot graphs using multiple indicators in a simple, practical, and fast way. This can truly change your perspective on MetaTrader 5 and the market as a whole.
Bivariate Copulae in MQL5: (Part 3): Implementation and Tuning of Mixed Copula Models in MQL5
Bivariate Copulae in MQL5: (Part 3): Implementation and Tuning of Mixed Copula Models in MQL5
The article extends our copula toolkit with mixed copulas implemented natively in MQL5. We construct Clayton–Frank–Gumbel and Clayton–Student–t–Gumbel mixtures, estimate them via EM, and enable sparsity control through SCAD with cross‑validation. Provided scripts tune hyperparameters, compare mixtures using information criteria, and save trained models. Practitioners can apply these components to capture asymmetric tail dependence and embed the selected model in indicators or Expert Advisors.
From Basic to Intermediate: Indicator (IV)
From Basic to Intermediate: Indicator (IV)
In this article, we will explore how to easily create and implement an operational approach for coloring candles. This concept is highly valued by traders. When implementing such things, care must be taken to ensure that the bars or candles retain their original appearance and do not hinder reading candle by candle.
Neural Networks in Trading: Hybrid Graph Sequence Models (GSM++)
Neural Networks in Trading: Hybrid Graph Sequence Models (GSM++)
Hybrid graph sequence models (GSM++) combine the advantages of different architectures to provide high-fidelity data analysis and optimized computational costs. These models adapt effectively to dynamic market data, improving the presentation and processing of financial information.
Optimizing Liquidity Raids: Mastering the Difference Between Liquidity Raids and Market Structure Shifts
Optimizing Liquidity Raids: Mastering the Difference Between Liquidity Raids and Market Structure Shifts
This is an article about a specialized trend-following EA that aims to clearly elaborate how to utilize trading setups after liquidity raids. This article will explore in detail an EA that is specifically designed for traders who are keen on optimizing and utilizing liquidity raids and purges as entry criteria for their trades and trading decisions. It will also explore how to correctly differentiate between liquidity raids and market structure shifts and how to validate and utilize each of them when they occur, thus trying to mitigate losses that occur from traders confusing the two.
MQL5 Trading Tools (Part 17): Exploring Vector-Based Rounded Rectangles and Triangles
MQL5 Trading Tools (Part 17): Exploring Vector-Based Rounded Rectangles and Triangles
In this article, we explore vector-based methods for drawing rounded rectangles and triangles in MQL5 using canvas, with supersampling for anti-aliased rendering. We implement scanline filling, geometric precomputations for arcs and tangents, and border drawing to create smooth, customizable shapes. This approach lays the groundwork for modern UI elements in future trading tools, supporting inputs for sizes, radii, borders, and opacities.
Price Action Analysis Toolkit Development (Part 21): Market Structure Flip Detector Tool
Price Action Analysis Toolkit Development (Part 21): Market Structure Flip Detector Tool
The Market Structure Flip Detector Expert Advisor (EA) acts as your vigilant partner, constantly observing shifts in market sentiment. By utilizing Average True Range (ATR)-based thresholds, it effectively detects structure flips and labels each Higher Low and Lower High with clear indicators. Thanks to MQL5’s swift execution and flexible API, this tool offers real-time analysis that adjusts the display for optimal readability and provides a live dashboard to monitor flip counts and timings. Furthermore, customizable sound and push notifications guarantee that you stay informed of critical signals, allowing you to see how straightforward inputs and helper routines can transform price movements into actionable strategies.
Price Action Analysis Toolkit Development (Part 61): Structural Slanted Trendline Breakouts with 3-Swing Validation
Price Action Analysis Toolkit Development (Part 61): Structural Slanted Trendline Breakouts with 3-Swing Validation
We present a slanted trendline breakout tool that relies on three‑swing validation to generate objective, price‑action signals. The system automates swing detection, trendline construction, and breakout confirmation using crossing logic to reduce noise and standardize execution. The article explains the strategy rules, shows the MQL5 implementation, and reviews testing results; the tool is intended for analysis and signal confirmation, not automated trading.
MQL5 Trading Tools (Part 18): Rounded Speech Bubbles/Balloons with Orientation Control
MQL5 Trading Tools (Part 18): Rounded Speech Bubbles/Balloons with Orientation Control
This article shows how to build rounded speech bubbles in MQL5 by combining a rounded rectangle with a pointer triangle and controlling orientation (up, down, left, right). It details geometry precomputation, supersampled filling, rounded apex arcs, and segmented borders with an extension ratio for seamless joins. Readers get configurable code for size, radii, colors, opacity, and thickness, ready for alerts or tooltips in trading interfaces.
Introduction to MQL5 (Part 40): Beginner Guide to File Handling in MQL5 (II)
Introduction to MQL5 (Part 40): Beginner Guide to File Handling in MQL5 (II)
Create a CSV trading journal in MQL5 by reading account history over a defined period and writing structured records to file. The article explains deal counting, ticket retrieval, symbol and order type decoding, and capturing entry (lot, time, price, SL/TP) and exit (time, price, profit, result) data with dynamic arrays. The result is an organized, persistent log suitable for analysis and reporting.
Automating Market Memory Zones Indicator: Where Price is Likely to Return
Automating Market Memory Zones Indicator: Where Price is Likely to Return
This article turns Market Memory Zones from a chart-only concept into a complete MQL5 Expert Advisor. It automates Displacement, Structure Transition (CHoCH), and Liquidity Sweep zones using ATR- and candle-structure filters, applies lower-timeframe confirmation, and enforces risk-based position sizing with dynamic SL and structure-based TP. You will get the code architecture for detection, entries, trade management, and visualization, plus a brief backtest review.
Algorithmic Trading Strategies: AI and Its Road to Golden Pinnacles
Algorithmic Trading Strategies: AI and Its Road to Golden Pinnacles
This article demonstrates an approach to creating trading strategies for gold using machine learning. Considering the proposed approach to the analysis and forecasting of time series from different angles, it is possible to determine its advantages and disadvantages in comparison with other ways of creating trading systems which are based solely on the analysis and forecasting of financial time series.
Risk Management (Part 4): Completing the Key Class Methods
Risk Management (Part 4): Completing the Key Class Methods
This is Part 4 of our series on risk management in MQL5, where we continue exploring advanced methods for protecting and optimizing trading strategies. Having laid important foundations in earlier articles, we will now focus on completing all remaining methods postponed in Part 3, including functions for checking whether specific profit or loss levels have been reached. In addition, we will introduce new key events that enable more accurate and flexible risk management.
Market Simulation (Part 12): Sockets (VI)
Market Simulation (Part 12): Sockets (VI)
In this article, we will look at how to solve certain problems and issues that arise when using Python code within other programs. More specifically, we will demonstrate a common issue encountered when using Excel in conjunction with MetaTrader 5, although we will be using Python to facilitate this interaction. However, this implementation has a minor drawback. It does not occur in all cases, but only in certain specific situations. When it does happen, it is necessary to understand the cause. In today’s article, we will begin explaining how to resolve this issue.
Market Simulation (Part 13): Sockets (VII)
Market Simulation (Part 13): Sockets (VII)
When we develop something in xlwings or any other package that allows reading and writing directly to Excel, we must note that all programs, functions, or procedures execute and then complete their task. They do not remain in a loop, no matter how hard we try to do things differently.
Creating Custom Indicators in MQL5 (Part 7): Hybrid Time Price Opportunity (TPO) Market Profiles for Session Analysis
Creating Custom Indicators in MQL5 (Part 7): Hybrid Time Price Opportunity (TPO) Market Profiles for Session Analysis
In this article, we develop a custom indicator in MQL5 for hybrid Time Price Opportunity (TPO) market profiles, supporting multiple session timeframes such as intraday, daily, weekly, monthly, and fixed periods with timezone adjustments. The indicator quantizes prices into a grid, tracks session data including highs, lows, opens, and closes, and calculates key elements like the point of control and value area based on TPO counts. It renders profiles visually on the chart with customizable colors for TPO letters, single prints, value areas, POC, and close markers, enabling detailed session analysis
Introduction to MQL5 (Part 41): Beginner Guide to File Handling in MQL5 (III)
Introduction to MQL5 (Part 41): Beginner Guide to File Handling in MQL5 (III)
Learn how to read a CSV file in MQL5 and organize its trading data into dynamic arrays. This article shows step by step how to count file elements, store all data in a single array, and separate each column into dedicated arrays, laying the foundation for advanced analysis and trading performance visualization.
Market Simulation (Part 15): Sockets (IX)
Market Simulation (Part 15): Sockets (IX)
In this article, we will discuss one of the possible solutions to what we have been trying to demonstrate—namely, how to allow an Excel user to perform an action in MetaTrader 5 without sending orders or opening or closing positions. The idea is that the user employs Excel to conduct fundamental analysis of a particular symbol. And by using only Excel, they can instruct an expert advisor running in MetaTrader 5 to open or close a specific position.
Market Simulation: (Part 11): Sockets (V)
Market Simulation: (Part 11): Sockets (V)
We are beginning to implement the connection between Excel and MetaTrader 5, but first we need to understand some key points. This way, you won't have to rack your brains trying to figure out why something works or doesn't. And before you frown at the prospect of integrating Python and Excel, let's see how we can (to some extent) control MetaTrader 5 through Excel using xlwings. What we demonstrate here will primarily focus on educational objectives. However, don't think that we can only do what will be covered here.
From Basic to Intermediate: Struct (VI)
From Basic to Intermediate: Struct (VI)
In this article, we will explore how to approach the implementation of a common structural code base. The goal is to reduce the programming workload and leverage the full potential of the programming language itself—in this case, MQL5.
From Basic to Intermediate: Struct (IV)
From Basic to Intermediate: Struct (IV)
In this article, we will explore how to create so-called structural code, where the entire context and methods for manipulating variables and information are placed within a structure to create a suitable context for implementing any code. Therefore, we will examine the necessity of using a private section of the code to separate what is public from what is not, thereby adhering to the rule of encapsulation and preserving the context for which the data structure was created.