Dive into the world of algorithmic trading with the MACD indicator, a powerful tool for identifying market trends and momentum. Understand the calculation of MACD using exponential moving averages, and discover how its componentsβthe MACD Line, Signal Line, and Histogramβhelp traders discern bullish or bearish market conditions. Learn how simple strategies, like MACD line crossovers with the zero-level and Signal Line, can provide actionable trading signals. This guide also covers designing trading systems in MetaTrader 5 with MQL5, showcasing practical applications for both developers and traders aiming to enhance their trading performance with automated insights.
π Read | Freelance | @mql5dev
#MQL5 #MT5 #Trading
π Read | Freelance | @mql5dev
#MQL5 #MT5 #Trading
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Breakout Trader 1.0 is a tool designed for trading breakouts from established ranges, executing according to specific trading times. Key settings include start date configuration, magic number, and initial capital. Volume input and risk percentage per order offer customizable risk management. Users can toggle reverse trading and opt for automation during the day.
Additional parameters such as negative orders per day, profit formulas, and stop-loss techniques are available. The software allows trailing stops and tailors take-profit strategies based on equity levels. Partial sells and monthly trade settings provide further flexibility.
Users can configure trading days and times, with options to pause or end trading based on daily or weekly capital performance. Panel and design settings ensure the tool is user-friendly. Testing in demo accounts is advised...
π Read | Forum | @mql5dev
#MQL5 #MT5 #Trading
Additional parameters such as negative orders per day, profit formulas, and stop-loss techniques are available. The software allows trailing stops and tailors take-profit strategies based on equity levels. Partial sells and monthly trade settings provide further flexibility.
Users can configure trading days and times, with options to pause or end trading based on daily or weekly capital performance. Panel and design settings ensure the tool is user-friendly. Testing in demo accounts is advised...
π Read | Forum | @mql5dev
#MQL5 #MT5 #Trading
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Traders face difficulties trading multiple symbols during high-volatility events using MetaTrader 5's default setup, which supports only one Expert Advisor (EA) per chart. We've devised a solution that integrates a multi-symbol trading feature within the News Headline EA.
This enhancement enables managing multiple pairs from a single chart, using intuitive trading buttons built upon the MQL5 Standard Library and custom trading classes. This sophisticated EA can handle multiple symbols seamlessly, crucial for quick reactions to market changes during news releases.
The integration involves modifying the CTradingButtons class to support multi-symbol trading and adapting the News Headline EA to include this new functionality, offering traders significant efficiency and control.
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Trading
This enhancement enables managing multiple pairs from a single chart, using intuitive trading buttons built upon the MQL5 Standard Library and custom trading classes. This sophisticated EA can handle multiple symbols seamlessly, crucial for quick reactions to market changes during news releases.
The integration involves modifying the CTradingButtons class to support multi-symbol trading and adapting the News Headline EA to include this new functionality, offering traders significant efficiency and control.
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Trading
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The article dives into automating data export from MetaTrader to Google Sheets using secure, cost-effective methods. It proposes using Google service account keys and a proxy server on the cloud platform PythonAnyWhere. By leveraging service accounts, developers can securely transfer trading data to Google Sheets for analysis, enabling the use of integrated tools like TradingView. PythonAnyWhere provides a reliable proxy server solution, functioning even offline and with scheduled tasks. This approach empowers traders to harness Google's data visualization capabilities without incurring extra costs or security risks, thus optimizing their trading strategies and decision-making processes.
π Read | Signals | @mql5dev
#MQL5 #MT5 #Trading
π Read | Signals | @mql5dev
#MQL5 #MT5 #Trading
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The article discusses the development of a Gartley Pattern system using MQL5, which detects bullish and bearish harmonic trading patterns in financial markets. The system leverages specific Fibonacci retracements to identify high-probability reversal zones through pivot points. It automatically executes trades using dynamic entry points and multi-level take-profits, enhanced by visual elements like triangles and trendlines for clarity. This program not only visualizes these patterns but also trades them through a comprehensive framework, offering customization and full integration within MetaTrader 5. The system has been thoroughly backtested to ensure effective and reliable performance for algorithmic trading.
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Trading
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Trading
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The financial markets rely heavily on understanding what lies beneath price charts. Order books reveal the realities of buy and sell pressures, impacting price movements. Retail traders often lack access to these insights due to platform limitations, generally relying on meta-platforms like MetaTrader 5. The Slippage Tool bridges this gap.
Designed for MetaTrader 5, it uses tick data to simulate essential order book signals. The tool reconstructs insights like VWAP for trend identification, tackles imbalance to reveal directional pressures, evaluates spreads to understand cost and liquidity, and analyzes flow for short-term sentiment. These features equip traders with actionable data for better entry timing and risk assessment, aiding more precise trading decisions.
π Read | VPS | @mql5dev
#MQL5 #MT5 #Trading
Designed for MetaTrader 5, it uses tick data to simulate essential order book signals. The tool reconstructs insights like VWAP for trend identification, tackles imbalance to reveal directional pressures, evaluates spreads to understand cost and liquidity, and analyzes flow for short-term sentiment. These features equip traders with actionable data for better entry timing and risk assessment, aiding more precise trading decisions.
π Read | VPS | @mql5dev
#MQL5 #MT5 #Trading
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Discover how to build a robust MQL5 system that enhances price-action trading by transforming fractal pivots into reliable signals. This technical guide presents a practical approach to using fractal pivots as stable anchors, detecting pivotal market shifts through Changes of Character (ChoCH) and Breaks of Structure (BOS). These signals provide early warnings and confirmations of trend reversals, using closed-bar logic to ensure non-repainting and backtestable accuracy. The article delves into the complete algorithm design and MQL5 implementation, offering features like alerts, logging, and multi-channel notifications. Itβs a powerful tool for traders seeking to streamline their strategy with automated alerts and effective market analysis.
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Trading
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Trading
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Understanding Fair Value Gaps (FVG) is essential for traders leveraging Smart Money Concepts. These gaps emerge from rapid price movements due to strong institutional buying or selling pressure, leaving unbalanced price ranges. Primarily occurring during high-impact news releases or major market player activities, FVGs provide opportunities for strategic trade execution.
Analysts advise evaluating FVGs by marking unbalanced areas and aligning them with trend direction and narrative. A typical strategy involves monitoring larger timeframes for FVGs, using indicators like bullish engulfing or bearish engulfing candles, and looking for market structure changes during active sessions to confirm trade entries. This disciplined approach helps in effective FVG analysis and trade execution.
π Read | Signals | @mql5dev
#MQL5 #MT5 #Trading
Analysts advise evaluating FVGs by marking unbalanced areas and aligning them with trend direction and narrative. A typical strategy involves monitoring larger timeframes for FVGs, using indicators like bullish engulfing or bearish engulfing candles, and looking for market structure changes during active sessions to confirm trade entries. This disciplined approach helps in effective FVG analysis and trade execution.
π Read | Signals | @mql5dev
#MQL5 #MT5 #Trading
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Welcome to the continuation of the MQL5 series, focusing on automating the detection of the Gartley harmonic pattern. This relies heavily on Fibonacci levels, price swings, and chart objects. The EA will evaluate price swings, calculate significant Fibonacci retracement and extension levels, and identify possible Gartley formations on a chart. These concepts also apply to other harmonic patterns, including the Bat and Butterfly.
For buy logic, the EA detects bullish Gartley patterns by analyzing points X, A, B, C, and D to match specific retracement rules, then generates a buy order anticipating price reversals. Users can adjust retracement and extension settings.
In the bearish logic, the EA searches for a swing high at point X, followed by identifying points A, B, C, and D to confirm a valid bearish Gartley pattern based on predefined criteria and...
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Trading
For buy logic, the EA detects bullish Gartley patterns by analyzing points X, A, B, C, and D to match specific retracement rules, then generates a buy order anticipating price reversals. Users can adjust retracement and extension settings.
In the bearish logic, the EA searches for a swing high at point X, followed by identifying points A, B, C, and D to confirm a valid bearish Gartley pattern based on predefined criteria and...
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Trading
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In the continuation of our trading strategy development in MQL5, we have built a Supply and Demand Trading System leveraging a retest and impulse model. This system identifies supply and demand zones through periods of consolidation, confirms their validity with impulsive price moves, and facilitates trading on retests.
Key components of this strategy include defining risk parameters, implementing trend confirmation, and enhancing chart visualization with dynamic labels and colors. We covered the framework, implementation in MQL5, key enumerations, zone detection and validation, trading logic, and the integration of trailing stops. This comprehensive approach provides a functional trading strategy in MQL5 to efficiently manage supply and demand zones for potential reentry trades.
π Read | AppStore | @mql5dev
#MQL5 #MT5 #Trading
Key components of this strategy include defining risk parameters, implementing trend confirmation, and enhancing chart visualization with dynamic labels and colors. We covered the framework, implementation in MQL5, key enumerations, zone detection and validation, trading logic, and the integration of trailing stops. This comprehensive approach provides a functional trading strategy in MQL5 to efficiently manage supply and demand zones for potential reentry trades.
π Read | AppStore | @mql5dev
#MQL5 #MT5 #Trading
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