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The best publications of the largest community of algotraders. Subscribe to stay up-to-date with modern technologies and trading programs development.
Больше📈 Аналитический обзор Telegram-канала MQL5 Algo Trading
Канал MQL5 Algo Trading (@mql5dev) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 514 882 подписчиков, занимая 152 место в категории Технологии и приложения и 5 место в регионе Великобритания.
📊 Показатели аудитории и динамика
С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 514 882 подписчиков.
Согласно последним данным от 29 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 8 957, а за последние 24 часа — 557, при этом общий охват остаётся высоким.
- Статус верификации: Не верифицирован
- Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 3.32%. В первые 24 часа после публикации контент обычно набирает 1.94% реакций от общего числа подписчиков.
- Охват публикаций: В среднем каждый пост получает 17 075 просмотров. В течение первых суток публикация набирает 9 990 просмотров.
- Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 38.
- Тематические интересы: Контент сосредоточен на ключевых темах, таких как indicator, chart, mql5, candle, range.
📝 Описание и контентная политика
Автор описывает ресурс как площадку для выражения субъективного мнения:
“The best publications of the largest community of algotraders.
Subscribe to stay up-to-date with modern technologies and trading programs development.”
Благодаря высокой частоте обновлений (последние данные получены 30 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.
514 882
Подписчики
+55724 часа
+2 0137 дней
+8 95730 день
Архив постов
515 095
Discover the Turtle Shell Evolution Algorithm (TSEA), a groundbreaking approach inspired by natural patterns for optimizing trading strategies. Emulating the turtle's shell growth, this algorithm clusters solutions based on quality, preserving less successful options for continuous improvement. By leveraging both K-Means and K-NN clustering, TSEA adapts dynamically, ensuring effective data organization and maximizing potential. The structured arrangement allows developers to efficiently store and access optimization agents, creating a robust framework for iterative enhancements. Ideal for enhancing MetaTrader 5 strategies, this method ensures progressive refinement akin to nature's intricate designs.
#MQL5 #MT5 #Algorithm #AI
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515 095
Dive into the integration of Deep Learning with three advanced Expert Advisors (EAs) in MetaTrader 5, enhancing algorithms for more precise market predictions and risk management. This article explores how Nash's Game Theory, Causality Network Analysis, and Stochastic Optimization benefit from incorporating Python-generated ONNX models. Detailed modifications in MQL5 scripts show improved decision-making and trading outcomes. Results highlight varied performance: DL models in some cases improved consistency and win rates, while others maintained profitability with increased caution. This deep dive underscores the potential and careful implementation required for DL in trading, promising better-adapted strategies but necessitating rigorous testing across market conditions.
#MQL5 #MT5 #EA #DeepLearning
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515 095
An opportunity to enhance trading strategies is now available with a customizable trading bot integrated with a specific indicator. This demo version showcases potential capabilities. For personalized assistance in developing an optimized trading bot tailored to individual needs, professional support is offered to ensure effective results. Reach out for further collaboration and achieve a sophisticated trading solution.
#MQL5 #MT5 #EA #Indicator
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515 095
An indicator identifying Engulfing candle patterns is available. It features red arrows for Bearish Engulfing and green arrows for Bullish Engulfing patterns. This tool aids in recognizing significant market trends and reversals.
For those interested in developing custom Indicators, Scripts, or Expert Advisors, advanced development services are offered. Enhance your trading strategies with precision-tailored tools designed to meet specific requirements. Contact for collaborative opportunities and custom development projects.
#MQL5 #MT5 #Indicator #EA
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515 095
Fair Value Gap (FVG) represents a price imbalance appearing when there's a significant discrepancy between the opening, high, low, and closing prices over three consecutive candles. This occurs when one candle's range does not fully overlap with the surrounding candles, creating a "gap" in the price action. Traders identify these gaps as potential zones where the price may retrace to correct the imbalance before continuing its original direction. This concept plays a crucial role in many trading strategies for pinpointing potential entry and exit points based on observed market inefficiencies.
#MQL5 #MT5 #Algorithm #Strategy
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515 095
MetaTrader 5 Platform beta build 4540 introduces numerous new features and improvements to the web platform:
• A crosshair mode for accessing precise values and measuring distances on the chart, as well as a new line chart type.
• Ability to enable additional information in the Market Watch in the the mobile version.
• Expanded list of supported hotkeys for more efficient chart operations.
New machine learning functions are now available in MQL5. These include integration with the OpenBLAS matrix computation library and improved ONNX Runtime support to enable the execution of more complex neural models.
Additionally, the platform now offers improved tick history downloading and exporting features. Also, we have fixed bugs in testing agents that could lead to excessive RAM consumption.
Update to the beta version now and be among the first to experience the new features
515 095
In this latest installment, we transform the Chart Trade panel into an indicator and modularize the sound system previously embedded in the EA. This approach enhances reusability and simplicity across different MetaTrader 5 components. By introducing a sound service and an accompanying library, we streamline the sound alert mechanism, making it accessible from any script, EA, or indicator. This modular and scalable setup facilitates better code maintenance and adaptability, avoiding legacy compatibility issues. Whether you're a seasoned developer or new to algorithmic trading, these modifications offer practical advantages for more robust and manageable trading systems.
#MQL5 #MT5 #Indicator #AlgoTrading
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515 095
The Trend Direction Force Index v2 (TDFI) indicator has been successfully converted from TradingView to MQL4. Originally designed for identifying market trend direction and magnitude, this indicator is now available for MetaTrader 4 users. The TDFI calculates a standardized measure of price movement, offering enhanced insight into market dynamics. This version maintains the original algorithm, ensuring consistency in its output while leveraging the MQL4 environment. The conversion facilitates seamless integration into existing trading strategies for algorithmic traders and technical analysts working within the MetaTrader 4 platform.
#MQL4 #MT4 #Indicator #TDFI
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515 095
Category Theory, a powerful mathematical framework, can be leveraged in algorithmic trading using MQL5 to understand the relationships between trading strategies, instruments, and market conditions. By classifying and analyzing these relationships through concepts like domains and morphisms, traders can identify patterns and create adaptable, reliable trading algorithms. This approach ensures consistency, verifies system correctness, and enhances communication of complex trading strategies. Practical applications include constructing unique trading domains, enforcing data integrity, and visualizing morphisms, leading to sophisticated expert advisors in MetaTrader 5. This methodology aids MQL5 programmers in developing robust, scalable trading systems.
#MQL5 #MT5 #AlgoTrading #Strategy
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515 095
Announcing the updated NoLoss EA, improved significantly through community feedback. Unlike most lagging indicators, this EA eliminates dependency on indicators, candlestick patterns, chart patterns, or price action analysis. It uses a progressive strategy verified over a year of use and four years of backtesting.
**Preferred Pair**: EURUSD
**Setup**: Compatible with any timeframe due to its non-reliance on traditional indicators and patterns.
**Parameters**:
- **Initialsize**: Set your initial lot size based on your account balance.
- **MaxBuy/Sell**: Define the maximum number of open buy/sell positions.
- **OverallBuy/SellProfit**: Establish the combined profit target for all buy/sell orders.
- **Slippage**: Enter your slippage value.
- **DistanceBetweenOrders**: Set the pip distance to trigger new orders in the same direction.
- **NumberofBuy/Sell**: Sp...
#MQL4 #MT4 #EA #Strategy
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515 095
## Introduction
Enhancing the Admin Panel GUI in MQL5 includes essential improvements such as toggling between dark and light themes, adding stylish buttons, and customizing fonts.
## Basic Admin Panel Achievements
Previously accomplished:
- Created an Admin Panel with a Messaging Interface and Telegram Integration.
- Added buttons for minimize, maximize, close, and quick messaging.
## Applying MQL5 GUI Styling Features
MQL5 offers various tools for GUI customization, including color and font adjustments. These enable creating a visually cohesive and functional interface.
## Customizing Colors and Fonts
Define an array of available fonts and manage their selection through an index. Implement a button for users to cycle through fonts, ensuring dynamic and cohesive panel appearance.
## Theme Management Logic
Set up a system with light and dark themes. ...
#MQL5 #MT5 #GUI #Styling
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515 095
Developing an automated trading application (EA) involves multiple stages where each generates critical information. The information is saved in a database with results stored from various strategy tests.
A challenge arises in creating trading strategy objects from this saved data. Direct object storage in the database is not an option. Converting object properties to a string for storage ensures data can be read back and objects recreated. This can be managed through methods or constructors that parse these strings to assign values to object properties.
Creating complex objects, such as groups of trading strategies or an EA itself, demonstrates the need for a systematic approach to string parsing and object reconstruction.
A practical implementation requires classes to be "factoryable." This means developing a base class, CFactorable, which can be initi...
#MQL5 #MT5 #EA #Strategy
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515 095
Auto-optimizing forex trading algorithms offer significant advantages for automated traders. An Expert Advisor (EA) can adjust its strategy based on market conditions post-trade. This adaptive feature allows EAs to refine their approach over time.
Key components to set up include necessary libraries, input parameters, global variables, and optimization settings. The core functions of the EA—initialization, deinitialization, and tick processing—are essential for maintaining operational stability.
Optimization logic involves evaluating parameter combinations to find the best-performing settings. Techniques like multi-criteria optimization and walk-forward optimization reduce the risk of overfitting and improve robustness.
Best practices include balancing optimization frequency and maintaining computational efficiency. Comprehensive logging and effective use of d...
#MQL5 #MT5 #EA #Algo
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515 095
A new script provides a graphical panel of information to display the maximum lot size permitted, calculated based on account size, leverage, and free margin. Unlike traditional scripts that rarely use dialogs, this script offers a visual representation without needing to load an expert advisor. This functionality is particularly useful for those who prefer quick access to essential trading information directly through a script, streamlining the process of fetching free margin-related data. Efficient and straightforward, this script meets a specific need by delivering critical trading metrics with minimal setup.
#MQL5 #MT5 #script #Forex
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515 095
MetaQuotes Language 5 (MQL5) Expert Advisor enhances interactivity with Telegram via responsive inline buttons. Inline buttons, defined using JSON, offer streamlined user actions within messages. The article covers their integration in MQL5, including creating a dedicated message class to manage interactions and a callback query class for handling specific user actions triggered by these buttons. By incorporating these elements, the bot processes user inputs dynamically, improving the overall user experience. Guidance on testing the bot ensures seamless functionality, making trading bots more responsive and user-centric for optimal trading efficiency.
#MQL5 #MT5 #Telegram #EA
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515 095
Bollinger Bands, created by John Bollinger in 1987, quantify market volatility and identify overbought/oversold conditions. Consisting of three lines, they expand and contract with volatility changes, serving as dynamic support/resistance levels. This article dives into 8 Bollinger Bands signals, explaining their integration into a custom signal class for algorithmic trading in MetaTrader 5. The goal is to optimize and test different pattern weights, leveraging classes from MQL5's standard library for efficient implementation. Using these signals, traders can develop robust strategies, anticipating trend reversals and breakouts for enhanced trading decisions in volatile markets.
#MQL5 #MT5 #Indicator #Strategy
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515 095
Struggling with non-stationary financial time series? Dive into our deep-dive analysis on achieving stationarity using first differences and empirical distribution functions. Learn how stationarity ensures accurate calculations in algorithms and why it matters for both regression and neural network analyses. Discover the Kolmogorov-Smirnov test’s role in detecting data homogeneity, pivotal for precise trading strategies and forecasts. Explore practical applications with real data cases, including EURUSD and XAUUSD minute bars, and understand how this statistical approach ensures reliable, error-free predictions even with dependent data. Perfect for enhancing your algorithmic trading models.
#MQL5 #MT5 #Indicator #Algorithm
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515 095
In algorithmic trading, choosing the right indicators is crucial. Traditional feature selection methods often fall short in non-stationary environments due to their global bias. The "Local Feature Selection" (LFS) algorithm offers a solution by focusing on locally optimal feature subsets, making it ideal for data with shifting patterns. This method emphasizes minimizing intra-class distances while maximizing inter-class distances through a weighting scheme that adapts dynamically to data variations. Implementing LFS in Python allows traders and developers to build more adaptive and robust models, ultimately enhancing predictive performance on MetaTrader 5. Discover how LFS can streamline your trading strategy!
#MQL5 #MT5 #Indicator #ML
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515 095
For those looking to automate opening buy and sell positions in MetaTrader 5 at the current market price with specific stop loss and take profit parameters, below is a simplified script. This script ensures the automatic capture of the current price and sets the trade parameters without displaying any dialog windows upon execution. Initial values for lot size, stop loss, and take profit should be defined in the script, which can later be modified via global variables in the MT5 menu.
```mql5
//+------------------------------------------------------------------+
//| Expert initialization function |
//+------------------------------------------------------------------+
void OnStart()
{
// Define initial parameters
double lotSize = 0.1;
int stopLossPips = 20;
int takeProfitPips = 40;
// If global variables exist...
#MQL5 #MT5 #script #algorithm
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515 095
Smart MA Trailing Stop EA is an effective tool for trending markets, automating stop loss adjustments. It adjusts stop losses based on the selected Moving Average (MA) period and the distance between the price and the MA.
Automated Stop Loss Adjustments: The EA automatically adjusts stop losses in line with the trend, securing profits as long as the trend persists.
Customizable MA Period and SL Distance: Users can set their preferred MA period and stop loss distance in pips.
Designed for Trending Markets: The EA places stop losses at a safe distance, protecting positions in momentum-driven markets.
Compatibility with 4 and 5-Digit Brokers: The EA adapts to the correct decimal placement, ensuring accuracy without extra effort.
This tool provides precise stop loss management, securing profits during strong market movements, and is user-friendly.
#MQL4 #MT4 #EA #AlgoTrading
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