Published article "Advanced Variables and Data Types in MQL5".

Variables and data types are very important topics not only in MQL5 programming but also in any programming language. MQL5 variables and data types can be categorized as simple and advanced ones. In this article, we will identify and learn about advanced ones because we already mentioned simple ones in a previous article.
Published article "Introduction to MQL5 (Part 5): A Beginner's Guide to Array Functions in MQL5".

Explore the world of MQL5 arrays in Part 5, designed for absolute beginners. Simplifying complex coding concepts, this article focuses on clarity and inclusivity. Join our community of learners, where questions are embraced, and knowledge is shared!
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Published article "Quantization in machine learning (Part 2): Data preprocessing, table selection, training CatBoost models".

The article considers the practical application of quantization in the construction of tree models. The methods for selecting quantum tables and data preprocessing are considered. No complex mathematical equations are used.
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- Machine learning in trading: theory, models, practice and algo-trading 94 new comments
- VPS problems 18 new comments
- What are my options ? 16 new comments
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Most downloaded source codes this month
- KA-Gold Bot MT5 KA-Gold Bot is an advanced trading advisor specifically designed for gold, utilizing the powerful combination of the Keltner channel strategy and two exponential moving averages (EMAs) - the 10-period EMA and the 200-period EMA. Principle of Operation: The 10-period EMA represents the average price cutting above/below the Keltner band, confirming an uptrend/downtrend. The price being above the 200-period EMA supports the uptrend/downtrend. This indicates that the uptrend/downtrend has been stronger than the previous 10 periods, considering the volatility over the last 50 periods. - Time frame: M15
- Trade Sessions Indicator This indicator is based on DRAW_FILLING buffers. The input parameters are absent, the TimeTradeServer(), TimeGMT() functions are used.
- Candle Time End and Spread The indicator displays the current spread and the time till closing the bar (candlestick) at the same time.
Most read articles this month

How to purchase a trading robot from the MetaTrader Market and to install it?
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
How to Test a Trading Robot Before Buying
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
New publications in CodeBase
- Wick or Body High Low Searches for Wick or Body based High low in visible bars of chart
- Moving Averages-14 different types This is an indicator to calculate 14 types of moving averages based on close price.
- Divergences Template Indicator This is a indicator to plot hidden and regular divergences on chart.
Published article "Developing a Replay System (Part 32): Order System (I)".

Of all the things that we have developed so far, this system, as you will probably notice and eventually agree, is the most complex. Now we need to do something very simple: make our system simulate the operation of a trading server. This need to accurately implement the way the trading server operates seems like a no-brainer. At least in words. But we need to do this so that the everything is seamless and transparent for the user of the replay/simulation system.
Published article "Neural networks made easy (Part 62): Using Decision Transformer in hierarchical models".

In recent articles, we have seen several options for using the Decision Transformer method. The method allows analyzing not only the current state, but also the trajectory of previous states and actions performed in them. In this article, we will focus on using this method in hierarchical models.
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- Machine learning in trading: theory, models, practice and algo-trading 65 new comments
- Bug in strategy tester 22 new comments
- New MetaTrader 5 platform build 4230: More built-in applications and expanded ONNX support 20 new comments
Published article "Developing a Replay System (Part 31): Expert Advisor project — C_Mouse class (V)".

We need a timer that can show how much time is left till the end of the replay/simulation run. This may seem at first glance to be a simple and quick solution. Many simply try to adapt and use the same system that the trading server uses. But there's one thing that many people don't consider when thinking about this solution: with replay, and even m ore with simulation, the clock works differently. All this complicates the creation of such a system.
Published article "Developing a Replay System (Part 30): Expert Advisor project — C_Mouse class (IV)".
Today we will learn a technique that can help us a lot in different stages of our professional life as a programmer. Often it is not the platform itself that is limited, but the knowledge of the person who talks about the limitations. This article will tell you that with common sense and creativity you can make the MetaTrader 5 platform much more interesting and versatile without resorting to creating crazy programs or anything like that, and create simple yet safe and reliable code. We will use our creativity to modify existing code without deleting or adding a single line to the source code.
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Most downloaded source codes this week
- Buy Sell Close Manual trading EA for trading newbies [@Buy_Sell_Close] Manual trading EA for trading newbies, EA can be used in backtesting visual mode, EA can also be used in live trading. You can practice your own trading system in backtesting.
- Examples from the book "Neural networks for algorithmic trading with MQL5" The book "Neural networks in algorithmic trading with MQL5" is a comprehensive guide, covering both the theoretical foundations of artificial intelligence and neural networks and practical aspects of their application in financial trading using the MQL5 programming language.
- Trade Sessions Indicator This indicator is based on DRAW_FILLING buffers. The input parameters are absent, the TimeTradeServer(), TimeGMT() functions are used.
Most read articles this week

How to purchase a trading robot from the MetaTrader Market and to install it?
A product from the MetaTrader Market can be purchased on the MQL5.com website or straight from the MetaTrader 4 and MetaTrader 5 trading platforms. Choose a desired product that suits your trading style, pay for it using your preferred payment method, and activate the product.
How to Test a Trading Robot Before Buying
Buying a trading robot on MQL5 Market has a distinct benefit over all other similar options - an automated system offered can be thoroughly tested directly in the MetaTrader 5 terminal. Before buying, an Expert Advisor can and should be carefully run in all unfavorable modes in the built-in Strategy Tester to get a complete grasp of the system.
The most downloaded free products:
Bestsellers in the Market:
The most popular forum topics:
- Machine learning in trading: theory, models, practice and algo-trading 41 new comments
- Is it possible to call custom indicators through OOP without iCustom and CopyBuffer? 12 new comments
- Libraries: Easy Canvas 11 new comments
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Published article "The Disagreement Problem: Diving Deeper into The Complexity Explainability in AI".

In this article, we explore the challenge of understanding how AI works. AI models often make decisions in ways that are hard to explain, leading to what's known as the "disagreement problem". This issue is key to making AI more transparent and trustworthy.
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Published article "Modified Grid-Hedge EA in MQL5 (Part III): Optimizing Simple Hedge Strategy (I)".

In this third part, we revisit the Simple Hedge and Simple Grid Expert Advisors (EAs) developed earlier. Our focus shifts to refining the Simple Hedge EA through mathematical analysis and a brute force approach, aiming for optimal strategy usage. This article delves deep into the mathematical optimization of the strategy, setting the stage for future exploration of coding-based optimization in later installments.



























