Calculating the margin required for a trading lot in MQL5 involves specifying the leverage factor to determine the precise margin requirement. When working with FX and metal symbols, it is vital to ensure that the code accounts for variations specific to cent accounts or CFDs/cryptocurrencies, as these can introduce discrepancies. Accuracy can be improved by refining the approach to accommodate these exceptions. Continuous learning and adapting the code to handle different account types and assets will enhance precision. Peer input and collaboration can facilitate code optimization, offering valuable insights from experienced professionals to elevate coding practices.

👉 Read | NeuroBook | @mql5dev

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Announcement for MetaTrader 5 Users: The Clean Market Watch script optimizes your trading workspace by automatically clearing all symbols from your Market Watch window in seconds. It is engineered for traders who accumulate a clutter of symbols and seek a streamlined experience. Manually removing symbols can be tedious, but this tool automates the process, providing efficiency.

The script employs an effective algorithm that processes symbols in reverse order to maintain stable array indexing. Safety mechanisms prevent infinite loops, and all actions are logged for transparency. Users receive real-time feedback and a completion notification for assurance of task execution.

To use, open MetaTrader 5, locate the CleanMarketWatch script within the Scripts folder, and execute with a simple chart attachment. Post-execution, you'll need to manually re-add symbo...

👉 Read | Freelance | @mql5dev

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The application of one-position-type strategies in live market environments presents an analysis based on Nvidia Corp’s stock (NVDA). Training and testing were conducted over distinct time periods, utilizing signals derived from multiple oscillator integrations, specifically RSI and DeMarker. Each pattern analyzes specific market movements, aiming to optimize entry and exit points across varying market conditions.

Pattern-5 focuses on slope confluence with range expansion, where synchronized momentum and price movements are logged. The buy signals are derived when RSI and DeMarker conditions align, demonstrating increased trader activity and potential market volatility.

Forward testing of Pattern-6 capitalizes on leading price movements with lagging indicators, identifying pullback entries for order continuation. The setup confirms trend strength w...

👉 Read | CodeBase | @mql5dev

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Discover the latest advancements in MetaTrader 5 with our AI-powered trading system enhancement. We've introduced efficient chat deletion and an intuitive search functionality. Manage conversations with ease by utilizing interactive delete buttons within the sidebar and history popups. The new search popup offers real-time filtering, empowering traders and developers to locate key discussions swiftly by keywords or content. This upgrade streamlines user experience, reduces clutter, and enhances productivity by maintaining focus on relevant data during critical trading moments. Experience a more organized and powerful trading assistant integrated seamlessly into your MQL5 environment.

👉 Read | CodeBase | @mql5dev

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Explore advanced methods to enhance lot and Stop Loss retrieval functions in algorithmic trading using MQL5’s robust control libraries. Advanced functions are refined with debugging tools for accuracy, integrating efficient calculation methods for lot sizes and Stop Loss settings. Innovative features like GetLotByRiskPerOperation streamline risk-based calculations without needing Stop Loss distances. Further delve into creating dynamic panels and controls in MQL5 with functions for labels, buttons, and combo boxes, offering a structured and interactive risk management interface. Engage with practical solutions for better trading decisions and streamlined developer workflows, fostering an efficient trading environment with enhanced user interaction.

👉 Read | AlgoBook | @mql5dev

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This article explores two innovative approaches for identifying profitable trading strategies using MetaTrader 5. The white-box solution leverages singular value decomposition to uncover strategy combinations attuned to current market trends, offering clear insights and straightforward implementability. In contrast, the black-box approach employs deep neural networks to adaptively select strategies based on real-time market behavior, though it requires extensive configuration. Both methods begin with MQL5 scripts for data acquisition and advance to sophisticated analyses using standard Python libraries. By demonstrating practical implementation in MQL5, the article underscores the potential of automated strategy discovery to enhance trading effectiveness amidst a rapidly evolving algorithmic landscape.

👉 Read | Signals | @mql5dev

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Discover a cutting-edge approach to algorithmic trading with our comprehensive Delta-Gamma hedging framework on MetaTrader 5. By integrating robust Greek calculations directly into your Expert Advisor, you can automate the intricacies of Black-Scholes Greeks for dynamic portfolio management. Our system dynamically monitors delta exposure, leveraging high-frequency adjustments to maintain delta-neutral positioning while capitalizing on gamma-driven market shifts. Advanced risk management layers ensure precise execution, balancing between delta hedging and gamma scalping to capture short-term volatility. Experience enhanced trading precision and consistency with our automated solution, designed for traders focused on market-neutral strategies.

👉 Read | VPS | @mql5dev

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The Candle Range Theory (CRT) trading system is advanced in part 41 with a focus on the Accumulation, Manipulation, and Distribution (AMD) phases. This MQL5 strategy enhances the identification of key market phases on a selected timeframe for precise trading decisions.

The system determines accumulation phases, detects price breaches with optional depth filtering, and confirms reversals for trade entry during the distribution phase. Risk management is integrated with configurable stop-loss, take-profit methods, trailing stops, and position limits per direction.

Implementation includes rendering visual aids on the chart, such as colored rectangles and labeled levels, utilizing MQL5 capabilities to provide an intuitive monitoring experience for traders. This forms a robust foundation for CRT strategy customization and backtesting.

👉 Read | Quotes | @mql5dev

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Candlestick patterns remain a critical component of technical analysis, offering insights into market dynamics. They document buyer-seller interactions and reflect market sentiment, often predicting future movements. The bullish engulfing pattern exemplifies this predictive ability by indicating potential buying strength. Developers utilizing the MQL5 environment can automate and enhance candlestick studies.

CandlePatternSearch.mq5 is an Expert Advisor designed for MetaTrader 5. It detects and highlights popular candlestick formations on charts, enhancing traders' abilities to analyze patterns across instruments and timeframes. Features include a comprehensive pattern library, interactive on-chart controls, real-time monitoring, and customizable parameters for alert configurations.

This EA consolidates technical analysis by transforming candle...

👉 Read | Calendar | @mql5dev

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Discover cutting-edge enhancements in the MetaTrader 5 library designed for algorithmic trading. The refined structure splits a monolithic codebase into reusable components, optimizing execution through modularity. Key improvements involve efficient input handling; only active charts now process keystrokes, reducing resource demands. The new Crosshair tool simplifies interfacing with charts, while the Trendline tool adds flexibility with customizable extrema. The upgrade ensures improved responsiveness in environments with numerous open tabs. Developers benefit from a revamped data management approach, storing global variables locally within classes, enabling independent usage and runtime modification. Embrace these advancements for robust trading systems enhancement.

👉 Read | AlgoBook | @mql5dev

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