MQL4 and MQL5 Programming Articles

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.

The article includes an interactive "sandbox" as an Excel file which simulates randomized Expert Advisor backtest data. Readers can use this to help explore and more deeply understand the EA performance metrics offered by default with MetaTrader. The text of the article is designed to guide the user through this experience.

The article presents a minimal working set for maintaining a trading journal in MQL5 using SQLite: a table structure for trades, signals, and events, indices, prepared statements and trades, as well as standard analytical SQL queries. Integration with the statistics dashboard in MetaTrader 5 and working with the database via MetaEditor are demonstrated. The approach allows automating the journal, accelerating calculations, and performing analysis without complicating the EA code.

This article is devoted to the topic "Widening possibilities of MQL4 programs by using functions of operating systems and other means of program development". The article describes an example of a program system that implements the task of the synchronization of several terminal copies based on a single source template.

"Be sure to participate in the Automated Trading Championships, where you can get a truly invaluable experience!" - this is the motto of contestant Enbo Lu (luenbo) from China. He appeared in the TOP-10 of Automated Trading Championship 2012 last week and is now consistently trying to reach the podium.

Trading is, first of all, a calculus of probabilities. The proverb about idleness being an engine for progress reveals us the reason why all those indicators and trading systems have been developed. It comes that the major of newcomers in trading study "ready-made" trading theories. But, as luck would have it, there are some more undiscovered market secrets, and tools used in analyzing of price movements exist, basically, as those unrealized technical indicators or math and stat packages. Thanks awfully to Bill Williams for his contribution to the market movements theory. Though, perhaps, it's too early to rest on oars.

Historical data is far from “trash”—it’s the foundation of any robust market analysis. In this article, we’ll take you step‑by‑step from collecting that history to using it to train a predictive model, and finally deploying that model for live price forecasts. Read on to learn how!

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.

Err is human. Everybody makes mistakes: more or less frequently, through ignorance or inadvertently. You ask and we answer your questions about: terminal time, test results, Print in journal, symbols, history for Tester, history import, leverage, traffic, hints, scaling, wrong calculations, Invalid account, Empty News, Price changed, Not Enough Money, Market Is Closed.

The Championship is coming to an end leaving us with vivid impressions of many unusual trading strategies. However, the trading robot of Sergey Pankratyev (s75) is showing really peculiar things - it is trading all 12 currency pairs opening only long positions. It is not an error but just a response to some certain market conditions.

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.

Explore the fundamentals of MQL5 programming in this beginner-friendly article, where we demystify arrays, custom functions, preprocessors, and event handling, all explained with clarity making every line of code accessible. Join us in unlocking the power of MQL5 with a unique approach that ensures understanding at every step. This article sets the foundation for mastering MQL5, emphasizing the explanation of each line of code, and providing a distinct and enriching learning experience.

Automation means nothing if you cannot control its schedule. No worker can be efficient working 24 hours a day. However, many believe that an automated system should operate 24 hours a day. But it is always good to have means to set a working time range for the EA. In this article, we will consider how to properly set such a time range.

In this article, we create a Pivot-Based Trend Indicator in MQL5 that calculates fast and slow pivot lines over user-defined periods, detects trend directions based on price relative to these lines, and signals trend starts with arrows while optionally extending lines beyond the current bar. The indicator supports dynamic visualization with separate up/down lines in customizable colors, dotted fast lines that change color on trend shifts, and optional gradient filling between lines, using a canvas object for enhanced trend-area highlighting.

Dive into the heart of neural networks as we demystify the optimization algorithms used inside the neural network. In this article, discover the key techniques that unlock the full potential of neural networks, propelling your models to new heights of accuracy and efficiency.

Automating price action analysis is the way forward. In this article, we utilize the Dual CCI indicator, the Zero Line Crossover strategy, EMA, and price action to develop a tool that generates trade signals and sets stop-loss (SL) and take-profit (TP) levels using ATR. Please read this article to learn how we approach the development of the CCI Zero Line EA.