Discover the UT Bot Indicator, a powerful tool for traders seeking swift, reliable decisions to tackle execution paralysis in high-volatility markets. This innovative custom indicator generates clear buy/sell signals with dynamic trailing stop-losses adjusted using Average True Range (ATR), enhancing decision-making speed and precision. Its simplicity, avoiding complex moving averages, reduces false signals, making it ideal for both novice and seasoned traders. Build confidence with customizable parameters for any asset class, from forex to commodities. Enhance your trading strategy and automate decisions with MQL5 EA integration, designed for seamless, efficient trading across multiple timeframes.
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Scalper
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Scalper
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Explore the innovation behind the FinAgent framework, a comprehensive system designed for building adaptive trading strategies in volatile markets. The architecture includes five key modules: Market Analysis, Memory, Decision-Making, Low-Level Reflection, and High-Level Reflection. Together, they enable precise data processing, historical trend analysis, and generation of optimized trading recommendations. Notably, the integration of memory within reflection components streamlines data flow, enhancing system interaction. Developers will appreciate the use of time series analysis models over large language models for improved accuracy. The Auxiliary Tools Module provides logical system decisions through classical indicators and normalization techniques, ensuring robust and informed trading insights.
π Read | Forum | @mql5dev
#MQL5 #MT5 #FinTech
π Read | Forum | @mql5dev
#MQL5 #MT5 #FinTech
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Explore a revolutionary approach to cross-validation for time series in MetaTrader 5. Moving beyond classical methods, this article demonstrates how optimizing models with domain-specific validation techniques can effectively reduce overfitting. By training models on the most recent, relevant data rather than the full dataset, developers can enhance accuracy and reduce computational costs. Through empirical testing, it was found that using only 80% of the latest data yields the best results, challenging the traditional "more data is better" philosophy. This innovative strategy streamlines model training, ultimately benefiting developers with shorter development cycles and efficient resource utilization.
π Read | Signals | @mql5dev
#MQL5 #MT5 #AlgoTrading
π Read | Signals | @mql5dev
#MQL5 #MT5 #AlgoTrading
β€42π2π¨βπ»1
Indicator strategy testing is a vital step in refining trading strategies, yet it often presents a challenge due to its limitation of simulating one indicator at a time visually. To overcome this restriction, it's effective to leverage the expert advisor strategy tester option, which supports visual mode testing for multiple indicators. This method offers the capacity to test up to four indicators simultaneously, facilitating comparative analysis to evaluate their combined performance within a strategy. Native software indicators serve as default inputs, though customization is supported, allowing users to incorporate unique indicators by specifying custom paths. This approach enhances strategic insights and decision-making efficiency.
π Read | VPS | @mql5dev
#MQL5 #MT5 #Indicator
π Read | VPS | @mql5dev
#MQL5 #MT5 #Indicator
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Template overloading through function templates allows for flexible handling of data types by the compiler. In a recent exploration, we examined how substituting a procedure with a template-based function can streamline coding practices, especially when dealing with varying data types such as ulong and ushort. By aligning function declarations with specific type requirements, we achieve both broad applicability and targeted functionality.
Crucially, understanding 'typename' is pivotal for template coding. It aids in detecting data types, ensuring functions handle variable types effectively during compilation. This is particularly beneficial in complex programs, as seen in the type handling and mirroring tasks executed in recent exercises. Implementing bit-level manipulations can further hone these coding techniques, enhancing precision and understanding.
π Read | AlgoBook | @mql5dev
#MQL5 #MT5 #Algorithm
Crucially, understanding 'typename' is pivotal for template coding. It aids in detecting data types, ensuring functions handle variable types effectively during compilation. This is particularly beneficial in complex programs, as seen in the type handling and mirroring tasks executed in recent exercises. Implementing bit-level manipulations can further hone these coding techniques, enhancing precision and understanding.
π Read | AlgoBook | @mql5dev
#MQL5 #MT5 #Algorithm
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Explore the advanced functionalities of the newly developed "Market Period Synchronizer Control Utility" for MetaTrader 5. This Expert Advisor revolutionizes how traders interact with charts by transforming static input parameters into interactive, real-time controls directly from the chart. Key features include instant parameter access, accelerated analysis through a dynamic control dashboard, and modern visual interfaces using CCanvas. This tool allows traders to seamlessly view and control major and minor timeframe structures, enhancing analysis efficiency. The EA promises a user-friendly experience with vertical sliders, toggle switches, and a visually appealing interface, making algorithmic trading more intuitive and efficient.
π Read | Docs | @mql5dev
#MQL5 #MT5 #Indicator
π Read | Docs | @mql5dev
#MQL5 #MT5 #Indicator
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A ZigZag indicator based on the Volatility Stop has been developed. Users have the option to disable the display of points from the Volatility Stop within the indicator settings. The indicator is designed to recalculate with the opening of each new candle. This adjustment allows for increased flexibility in market trend analysis, providing users with refined control over visual data representation. The integration of the Volatility Stop enhances the ZigZag's capability to track significant price movements, supporting more precise decision-making in technical analysis. This adaptation serves traders requiring detailed tracking and adaptability for optimal market assessment.
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Indicator
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Indicator
β€35π7π2π2π¨βπ»2
Explore how transforming multi-state trading strategies into simpler, two-state systems can enhance algorithmic trading evaluations. Learn how to define reducibility criteria and compare transformed systems against the original. The method involves calculating the probability and average time until crossing predefined corridor boundaries. This transformation leverages the power of fractal formulas, enabling the practical breakdown of complex strategies into manageable elements. Such approaches aid in constructing more robust trading systems by evaluating different strategy behaviors over time. This detailed methodology, supported by a strategy generator, offers valuable insights for traders and MetaTrader 5 developers seeking to optimize trading processes.
π Read | AppStore | @mql5dev
#MQL5 #MT5 #Strategy
π Read | AppStore | @mql5dev
#MQL5 #MT5 #Strategy
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The MACD Histogram functions as the bar chart component of the MACD indicator. It calculates the difference between the MACD line and the Signal line to measure trend momentum, whether accelerating or decelerating. As bars lengthen above the zero line, buying momentum strengthens, whereas lengthening bars below indicate strengthening selling momentum. Shortening bars generally signify weakening momentum, suggesting potential trend reversals or consolidations. Bars crossing the zero line mark the crossover point between the MACD and Signal lines. While a strong signal filter, the MACD Histogram should be complemented with other indicators and thorough trend analysis for comprehensive insights.
π Read | Freelance | @mql5dev
#MQL5 #MT5 #Indicator
π Read | Freelance | @mql5dev
#MQL5 #MT5 #Indicator
β€36π8π3π¨βπ»2
Improving library classes and integrating event handling for graphical objects can enhance responsiveness in trading platforms. Developers often face challenges when programmatically defining graphical object properties. Tracking changes in objects, such as when a line is crossed, adds computational overhead. The OnChartEvent() function can efficiently signal these changes, minimizing resource-intensive polling.
This functionality is being expanded to include the creation, property modification, renaming, and removal of graphical objects. By extending the current library class toolkit, developers can programmatically identify and respond to changes in specific properties, ensuring precise and efficient event handling without unnecessary overhead.
Enhancing event control involves adding new identifiers and message indices. This ensures events like g...
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Algorithm
This functionality is being expanded to include the creation, property modification, renaming, and removal of graphical objects. By extending the current library class toolkit, developers can programmatically identify and respond to changes in specific properties, ensuring precise and efficient event handling without unnecessary overhead.
Enhancing event control involves adding new identifiers and message indices. This ensures events like g...
π Read | Quotes | @mql5dev
#MQL5 #MT5 #Algorithm
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A universal class library is now available for implementing diverse StopLoss trailing strategies in trading robots. This library enables flexible management of StopLoss for open positions based on a fixed distance from the price or using popular indicators like Parabolic SAR, AMA, DEMA, FRAMA, MA, TEMA, VIDYA, and even custom levels.
The solution is integrated into MQL5 Expert Advisors by connecting the required class, setting parameters, and executing the Run() method in OnTick(). Classes include CSimpleTrailing for price-based trailing and CTrailingByInd for indicator-based trailing, with further subclasses like CTrailingBySAR and CTrailingByAMA for specific strategies.
Key parameters include SetSymbol, SetMagicNumber, SetStopLossOffset, SetTrailingStart, SetTrailingStep, SetSpreadMultiplier, and SetActive. Indicator classes have additional parameter...
π Read | Forum | @mql5dev
#MQL5 #MT5 #Trading
The solution is integrated into MQL5 Expert Advisors by connecting the required class, setting parameters, and executing the Run() method in OnTick(). Classes include CSimpleTrailing for price-based trailing and CTrailingByInd for indicator-based trailing, with further subclasses like CTrailingBySAR and CTrailingByAMA for specific strategies.
Key parameters include SetSymbol, SetMagicNumber, SetStopLossOffset, SetTrailingStart, SetTrailingStep, SetSpreadMultiplier, and SetActive. Indicator classes have additional parameter...
π Read | Forum | @mql5dev
#MQL5 #MT5 #Trading
β€47π¨βπ»5π€―3π2
A new function is available to convert server times between broker time zones, specifically for stored times of bars, ticks, or economic calendar events. Identifying DST schedules for source and destination servers, whether US, EU, or none, is facilitated using an online script. The function incorporates standard offset notation, like JavaScript, where positive time zones have positive offsets (GMT+3 as +10800) and negative time zones have negative offsets. This contrasts with MQL5βs TimeGMTOffset(), which inverses this relationship. For a thorough understanding and extended functionality, the complete library is accessible online. It comes with additional features for enhanced time zone management.
π Read | AppStore | @mql5dev
#MQL5 #MT5 #script
π Read | AppStore | @mql5dev
#MQL5 #MT5 #script
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Support and resistance zones are crucial concepts in technical analysis, serving as key psychological barriers for traders. Understanding these levels is essential as they significantly influence market participants' decisions. Support zones indicate areas where buying pressure exceeds selling pressure, causing price rebounds. Conversely, resistance zones denote levels where selling pressure halts upward movement.
The focus here is to automate the identification of these zones using an EA. By analyzing recent price data, the EA can spot swing highs and lows, pivotal for defining these zones. A swing low is characterized by a candle with a low price lower than its preceding and succeeding candles, while a swing high has a higher price.
For support zones, the EA logs relevant data, such as swing low time and price, ensuring no candle breaks below this zone t...
π Read | CodeBase | @mql5dev
#MQL5 #MT5 #Trading
The focus here is to automate the identification of these zones using an EA. By analyzing recent price data, the EA can spot swing highs and lows, pivotal for defining these zones. A swing low is characterized by a candle with a low price lower than its preceding and succeeding candles, while a swing high has a higher price.
For support zones, the EA logs relevant data, such as swing low time and price, ensuring no candle breaks below this zone t...
π Read | CodeBase | @mql5dev
#MQL5 #MT5 #Trading
β€35π10π¨βπ»2π1
Explore the latest advancements in building a robust statistical arbitrage framework tailored for MetaTrader 5 traders. The initial setup includes Python classes for cointegration tests and a comprehensive database to facilitate real-time strategy updates. A key focus is a scoring system that critically evaluates liquidity, transaction costs, and stability of portfolio weights to ensure efficiency. Additionally, strategic criteria like data frequency and lookback period can greatly impact trading outcomes. This detailed approach not only enhances the reliability of trading systems but also bridges the gap between theoretical concepts and practical, testable algorithmic trading strategies.
π Read | VPS | @mql5dev
#MQL5 #MT5 #Algorithm
π Read | VPS | @mql5dev
#MQL5 #MT5 #Algorithm
β€27π2π2π1π¨βπ»1
The article focuses on the All Sessions EA, a MetaTrader 5 tool designed to enhance understanding of global forex market sessions by visualizing them directly on trading charts. The EA aligns with broker server time, automatically drawing session boxes for Asia, Tokyo, London, and New York, providing clear differentiation without time zone confusion. It includes user-friendly features like on-chart toggles and real-time alerts for breakout events, aiding traders in assessing volatility shifts. The modular, event-driven design ensures efficient resource usage and intuitive interaction, offering both beginner and experienced traders a detailed, real-time map of trading activity worldwide.
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Forex
π Read | NeuroBook | @mql5dev
#MQL5 #MT5 #Forex
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The Bollinger Bands Squeeze is a significant technical signal indicating potential changes in market volatility. Bollinger Bands consist of a middle band (20-period Simple Moving Average) and upper and lower bands calculated as the middle band plus or minus two standard deviations. The squeeze phenomenon occurs when the bands narrow significantly, suggesting an impending volatility shift.
During a squeeze, the market enters a consolidation phase, with low price fluctuations as buying and selling pressure balance. This scenario is a precursor to a breakout with substantial price movement, though the directionβupward or downwardβremains uncertain.
Signs of an impending breakout include increased trading volume and other technical indicators like candlestick patterns and RSI. Thus, recognizing a Bollinger Bands Squeeze allows traders to anticipate...
π Read | AlgoBook | @mql5dev
#MQL5 #MT5 #BollingerBands
During a squeeze, the market enters a consolidation phase, with low price fluctuations as buying and selling pressure balance. This scenario is a precursor to a breakout with substantial price movement, though the directionβupward or downwardβremains uncertain.
Signs of an impending breakout include increased trading volume and other technical indicators like candlestick patterns and RSI. Thus, recognizing a Bollinger Bands Squeeze allows traders to anticipate...
π Read | AlgoBook | @mql5dev
#MQL5 #MT5 #BollingerBands
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The ExpWPRBB Expert Advisor employs a straightforward trading approach utilizing Williams' Percent Range (WPR) and Bollinger Bands (BB). Positions are initiated when both indicators align: for a Buy, WPR exits the oversold territory, and the bar opens below the average BB line. For a Sell, WPR leaves the overbought zone, and the bar opens above the average BB line. Bollinger Bands breadth and ATR values determine Stop Loss and Take Profit levels. Functionality is exclusive to hedging accounts. An optional non-trading mode is available for signal visual testing.
Core input parameters include WPR and Bollinger Bands periods, deviation, shift, and price type. Trading parameters comprise signal-only mode, position volume, slippage tolerance, and a unique Magic number for tracking. Stop Loss and Take Profit can be predefined or dynamically computed using Bollinge...
π Read | Docs | @mql5dev
#MQL5 #MT5 #EA
Core input parameters include WPR and Bollinger Bands periods, deviation, shift, and price type. Trading parameters comprise signal-only mode, position volume, slippage tolerance, and a unique Magic number for tracking. Stop Loss and Take Profit can be predefined or dynamically computed using Bollinge...
π Read | Docs | @mql5dev
#MQL5 #MT5 #EA
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Explore the power of Moving Averages in algorithmic trading with an informative guide on system design using MQL5 for MetaTrader 5. Discover three effective strategies: one, two, and three Moving Averages crossovers, each with distinct advantages in trend analysis. Learn to minimize whipsaws and optimize trading decisions by implementing these strategies systematically. This article provides clear coding examples and detailed steps for integrating Moving Averages into your trading setup, enhancing decision-making accuracy. Perfect for both seasoned developers and traders new to algorithmic solutions, this educational piece emphasizes practical application while keeping complex concepts accessible.
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Trading
π Read | Calendar | @mql5dev
#MQL5 #MT5 #Trading
β€47π5π5π¨βπ»3π1
ExpPinBar Expert Advisor leverages a strategy centered around the Price Action PinBar indicator to initiate trades based on indicator signals. The tool features advanced trailing functionalities accessible through the trailing library, incorporating mechanisms like classic trailing, Parabolic SAR, and various moving averages such as AMA, DEMA, FRAMA, MA, TEMA, and VIDYA. It also considers High and Low candlestick shadow levels. Critical settings for the PinBar include defining minimum and maximum candle sizes and the position of the body relative to the preceding candle.
To optimize signals, users can adjust parameters like the aspect ratio of shadows. The configuration options for the advisor cover essentials such as position volume, slippage, magic numbers, and dynamic stop loss and take profit points based on PinBar shadows. Trailing settings allow cust...
π Read | Calendar | @mql5dev
#MQL5 #MT5 #EA
To optimize signals, users can adjust parameters like the aspect ratio of shadows. The configuration options for the advisor cover essentials such as position volume, slippage, magic numbers, and dynamic stop loss and take profit points based on PinBar shadows. Trailing settings allow cust...
π Read | Calendar | @mql5dev
#MQL5 #MT5 #EA
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Explore efficient trade management with the AutoProtect Expert Advisor. This advanced solution automates crucial aspects like moving stop-losses to break-even, trailing stops as positions gain, and partial profit-taking. Built in the MQL5 environment, it provides flexibility for traders to customize individual functions according to their strategy. AutoProtect uniquely manages trades per symbol and supports filtering by magic number, allowing precise control. It enhances trading efficiency by focusing on real-time market dynamics, eliminating risks of manual errors. The structured, modular code supports easy updates, ensuring consistent and reliable trade adjustments. Ideal for both seasoned and aspiring MetaTrader 5 developers, AutoProtect optimizes trade management seamlessly.
π Read | Quotes | @mql5dev
#MQL5 #MT5 #EA
π Read | Quotes | @mql5dev
#MQL5 #MT5 #EA
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