The RSI Expert Advisor offers an automated trading solution utilizing the RSI indicator for detecting market opportunities. It is optimized for MT5, supporting a range of currency pairs and instruments with customizable features.

Key features include RSI-based signals to identify overbought or oversold conditions, intelligent risk management with options for fixed or automated position sizing, and flexible stop-loss/take-profit setups guided by ATR. Trading hour restrictions can be designated, ensuring operations occur only within specified timeframes. Partial position closing allows for profit securing based on favorable price movements.

Install by placing the RSI EA.mq5 file in the "Experts" folder and configure parameters such as RSI settings, risk management preferences, and trading hours. Partial closing and ATR-based parameters can also be adjusted.

The ...

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This article examines the functionality of the WinForms Panel control, focusing on its Padding and Dock properties. WinForms Panel serves as a container for positioning other objects, allowing the specification of binding methods upon creation within the container. There are six Dock property settings that determine object placement within a container's borders, each considering the container's Padding value to define object distance from the border.

The approach involves introducing an underlay object to manage object placement within the panel effectively, facilitating convenient arrangement and drawing on the canvas, thereby eliminating the need for recalculating coordinates and sizes. Further details include creating various form object styles and managing gradient fills, improving class functionality, and augmenting library classes through enhanced ...

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The ADX Smoothed indicator has been refined for superior performance and stability in trading applications. Enhancements include robust error prevention through thorough bounds checking, eliminating array out-of-range issues. Its performance has been optimized by employing efficient buffer management and data acquisition methods. The calculation logic is reliable due to fail-safe indexing and proper initialization, ensuring accurate results. The resource-efficient design handles management and memory allocation effectively. It adheres to a modern MQL5 structure with dedicated indicator properties and typed buffer assignments. These upgrades enhance stability and efficiency, maintaining the core ADX smoothing algorithm's analytical integrity for professional use.

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MT5 version 3686 introduces key enhancements focusing on optimization and user experience. This update significantly improves interface interactions, promising seamless accessibility. Security patches bolster overall system resilience, providing effective safeguards for sensitive data. Algorithmic traders will notice refined performance metrics which translate to more efficient strategy backtesting. Also, enhanced server stability ensures uninterrupted operations critical for executing trade strategies. The adjustments in the graphical display contribute to improved clarity and visualization, benefiting long-session users. Upgrade to access these improvements and ensure alignment with current features and specifications.

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Introducing a utility to effectively monitor long and short swaps for a single symbol. This tool distinguishes itself by automatically converting swaps from points to account currency when necessary. Such conversion is critical for traders whose broker-dealers specify swaps in points rather than in the account currency. Additionally, this utility accounts for the tripling of swaps on Wednesdays, a standard practice in the trading world. Users can customize their experience using adjustable horizontal and vertical alignment options within the input settings. This feature ensures that the utility's interface remains adaptable to various user preferences and screen setups.

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RefMask3D introduces an innovative approach for guided segmentation in point clouds using natural language descriptions. The framework effectively bridges the gap between linguistic and visual data through early-stage feature encoding and a Geometry-Enhanced Group-Word Attention module. By mitigating noise from direct point-word correlations, the model improves its grasp of geometric structures and linguistic cues.

Key components include linguistic primitives that represent semantic attributes and an Object Cluster Module that synthesizes language and visual data into meaningful object embeddings. This paves the way for precise object identification. Despite advancements, challenges persist in eliminating inference ambiguities, prompting the use of contrastive learning to enhance target identification accuracy.

Implementation in MQL5 involves structuring the a...

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The AutoCloseOnProfitLoss Expert Advisor for MetaTrader 5 automates the process of closing open positions once specified profit or loss thresholds are met. This Expert Advisor caters to traders focused on risk management and profit security. It offers features such as automated closing of positions, customizable targets for profit and loss, and user notifications. The EA is efficient, maintaining minimal CPU usage, ensuring continuous trade management.

Functionality is based on the PositionGetDouble(POSITION_PROFIT) function, monitoring total profit or loss across open trades and compared to user-set thresholds. If the set conditions are met, the EA employs market orders to close positions and delivers user alerts through the platform.

Installation involves downloading the .mq5 file from the MQL5 CodeBase, integrating it into MetaTrader 5, and enabling i...

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In algorithmic trading, data discrepancies between brokers pose a major challenge due to decentralized pricing. This article explores these issues by comparing EURUSD data from two brokers using MetaTrader 5. It highlights significant differences in returns, risks, and market perspectives across brokers, affecting trading strategy outcomes. Developers must consider these variations when building and deploying applications across different brokers. The article suggests using ONNX for model integration in MQL5 to tailor AI models to specific brokers, ensuring consistent performance. Thorough understanding and customization are vital for reliable and effective trading strategies in the diverse landscape of forex markets.

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Discussing YOLOv8's role in financial markets is essential for understanding its effectiveness in pattern detection. YOLOv8 operates effectively by analyzing chart patterns with considerable accuracy. Familiarity with machine learning and Python is advantageous for utilizing YOLOv8 in detecting complex market patterns.

MetaTrader 5 allows users to extract charts as screenshots for model evaluation. YOLOv8's implementation requires importing the YOLO object, loading a pre-trained model, and applying it to images captured from charts. This process generates images indicating detected patterns, useful for traders analyzing market behavior.

Despite its capabilities, YOLOv8 may face limitations due to varying chart styles and data noise. The integration with MetaTrader 5 enhances visualization, facilitating manual pattern recognition. Careful considerati...

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In our continued analysis of indicators for Expert Advisors, the recent forward walk results for patterns optimized last time revealed only Pattern-6 and Pattern-9 exhibited promise. In our series on applying machine learning in MQL5, Python is utilized for coding and training neural networks due to its efficiency. Our Fractal Adaptive Moving Average (FrAMA) function in Python adapts to price volatility and utilizes a recursive EMA. It's implemented with flexibility in mind, considering volatility and market trends. Similarly, the Force Index Oscillator evaluates price movements against trading volume, smoothed by EMA to highlight trends. Test both indicators and analyze CNN performance for further insights on these patterns.

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In the technical discussion surrounding the MetaTrader 5 replay system, the focus is on refining the C_Replay.mqh file for better handling of low-liquidity scenarios. Key updates include adjusting code logic to correctly track elapsed time on asset bars, even when OnCalculate events are sparse. This involves employing a custom bitmask to ensure the mouse indicator receives spread values directly from the simulator, enhancing accuracy in timing calculations. Developers can test these modifications to verify improvements in handling time between tick updates, crucial for accurate algorithmic trading strategies. This optimization aims to enhance the simulator's precision under varying market conditions, aiding developers in robust trading analysis.

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Grid trading often faces challenges when price movements break through set levels. To address this, transforming the grid's straight line into a curve by using a moving average (MA) index can be beneficial. The application of this approach has been backtested on the AUD/USD currency pair over the period from January 1, 2021, to December 31, 2021. This method aims to provide an enhanced strategy by aligning grid levels with the dynamic nature of price changes through MAs. The results indicate potential improvements in managing volatility and price deviations, contributing to a more adaptive trading framework.

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RefMask3D has been conceptualized as a sophisticated framework for comprehensive multimodal interaction analysis. It incorporates essential modules designed to efficiently encode linguistic and geometric data. The Geometry-Enhanced Group-Word Attention module performs effective cross-modal attention between textual descriptions and local point groups, refining the point cloud structure.

Furthermore, the Language Model aids in converting textual object descriptions into a token format, with the integration of trainable linguistic primitives to represent semantic attributes like shape and color. The use of a Transformer-based decoder enhances semantic information processing within the point cloud, improving target object identification.

Key to this framework is the Object Cluster Module, which aggregates detailed information to create object embeddings and i...

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Unlock the potential of algorithmic trading with the latest installment in our MQL5 coding series. This article guides you through developing an Expert Advisor to automatically identify and trade based on the Head and Shoulders pattern, a key technical analysis tool. The EA will not only execute trades but also visually mark the pattern on the chart for enhanced clarity. You'll learn the intricacies of swing point identification, programmatically drawing chart objects, and implementing robust entry, Stop Loss, and Take Profit strategies. This project bridges technical analysis with practical MQL5 skills, serving as a comprehensive resource for both expert developers and aspiring traders.

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Price Action Quantification Analysis EA offers a systematic solution for identifying key candlestick patterns like Pin Bars, Dojis, Engulfing, and Marubozu in MetaTrader 5. Developed to assist traders in analyzing price action swiftly and accurately, this Expert Advisor scans recent bars to detect formations, visually marks patterns on charts, and provides alerts. By incorporating volatility measures and precise detection logic, the EA enhances trading strategies with objective pattern recognition, reducing manual chart analysis. The built-in backtest feature enables evaluation of pattern success rates, empowering traders with valuable data on pattern reliability and trading performance.

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The Expert Advisor utilizes Bollinger Bands and the Donchian Channel for signal generation. A sell signal occurs when the Donchian Channel declines over a specific period, with an opening price above the upper Bollinger Band boundary and a closing price below it. Conversely, a buy signal triggers when the Donchian Channel rises over a period, the opening price is below the lower Bollinger Band boundary, and the closing price is above it. Trade closure is executed via stop and take profits or upon a Donchian Channel breach. Additionally, the code includes an R-square calculation to enhance analysis precision. Testing on the EURUSD pair spans from January 1, 2020, to April 1, 2025.

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Educational content is designed to aid in learning complex programming concepts. Recent discussions have focused on arrays and strings, including converting binary to different numerical representations and defining password lengths from phrases. Importance lies not in the specific implementations but in understanding the reasoning behind decisions in code.

Issues like variable declaration within loops and the irrelevance of processor type when constructing data structures were addressed. Emphasis is placed on the relationships between data types and arrays, revealing how different types can interact under specific rules. Exploring these foundational topics enhances comprehension of more intricate coding principles.

Understanding the dynamic behavior of arrays and variables broadens programming knowledge, paving the way for tackling more advanced and s...

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Explore how geometry transforms forex trading in our latest article! Dive into the complexities of candlestick pattern recognition and automate the process using MQL5. We discuss the creation of a geometric structure detection system leveraging object-oriented programming to automatically identify triangle and rectangle patterns in market data. This method not only saves time but also enhances accuracy by reducing manual intervention. Learn how to construct modular code that can be reused and adapted for future projects. Understand the practical applications of these techniques in gauging trend strength, setting entry/exit points, and reducing subjectivity in trading decisions.

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The DailyHighLow indicator offers robust functionality for precise technical analysis. It plots two distinct lines representing high and low prices, calculated based on user-defined parameters. Key features include a customizable timeframe that ensures no smaller intervals than the current chart for accurate data presentation. Users have the flexibility to choose from three price calculation modes: Low/High, Open/Close, and Close/Close, allowing tailored analysis according to trading strategies.

The indicator benefits from a Previous Period option that displays historical high/low data, supporting thorough past performance analysis. Visual presentation is clear with solid silver lines, ensuring data visibility without clutter.

The functionality is backed by a solid implementation process. It involves initializing price buffers and verifying timeframes...

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Exploring algorithmic trading with MetaTrader 5 involves combining financial markets expertise with programming skills. The transition from manual to automated trading allows for increased stability and volume across financial instruments with minimal risk. Machine Learning (ML) and Neural Networks are pivotal in this domain, demanding knowledge in mathematics, statistics, and Python programming. Various resources including specialized books and online courses, such as Georgia Tech's and WorldQuant's Machine Learning for Trading, equip developers with necessary skills. Blogs, videos, and scientific papers provide insights into ML's application, offering diverse knowledge critical for empowering both budding and seasoned developers in the trading ecosystem.

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