Explore the Dynamic Swing Architecture system, designed for precision in algorithmic trading by detecting swing highs and lows in real-time. This robust system automates trades based on market structure shifts, enhancing consistency and reducing emotional decision-making. It evaluates price action continuously, adapting to volatility changes and ensuring that traders stay aligned with the market rhythm. Developers will appreciate its configurability, including risk management options and visual feedback through charted swing points. This sophisticated framework offers traders a powerful tool for executing structure-based strategies effortlessly, merging human market intuition with precise algorithmic execution to create a highly adaptive trading process.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #EA

In the rapidly evolving landscape of financial trading, adaptation is key. Traditional rule-based systems struggle with market variability, while reinforcement learning systems have high data demands and lack transparency. Enter FinAgent, a paradigm shift in algorithmic trading. FinAgent leverages multimodal large language models (LLMs) for dynamic decision-making, integrating textual and visual market data into its framework. Key components include a two-tiered reflection module for short- and long-term decision analysis and a memory module for precise data retrieval. The decision-making module draws on expert knowledge, optimizing trading strategies through comprehensive market analysis. Implemented in MQL5, FinAgent exemplifies the fusion of advanced data processing with actionable insights for traders and developers.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #FinTech

The Greatest Swing Value (GSV) concept, detailed by Larry Williams in his work on short-term trading, provides insights into daily price movements. GSV examines the daily oscillations from the opening price to identify the controlling market forces. Monitoring the cumulative open-to-low (selling pressure) and open-to-high (buying pressure) swings over several days reveals the average movement direction.

An open-to-close swing surpassing this average suggests potential signaling. This indicator is versatile, thanks to its MultiTimeFrame design, defaulting to Daily. For greater relevance to specific trading strategies, settings allow recalibration based on the current chart timeframe for accurate analysis, adapting to varying market conditions and timeframes.

👉 Read | AppStore | @mql5dev

#MQL4 #MT4 #Indicator

Part 25 of the MQL5 series introduces the development of an Expert Advisor (EA) to automate trading by identifying trend lines for signals. Unlike the previous focus on support and resistance zones, trend lines are used to assess market direction and breakout points.

The EA requires the user to manually draw two trend lines and name them appropriately. It can handle both breakout and reversal trades, setting stop-loss and take-profit levels based on the latest candle's data. By processing the last five candles, the EA detects if a price breaks or reverses from a trend line, ensuring relevant market moves. The use of trend line names and chart IDs enhances precise monitoring and engagement, avoiding unnecessary trades.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #AlgoTrading

A new version of the classic repaint zigzag indicator allows viewing higher timeframe zigzags on a lower timeframe chart with added functionality. Version 1.01 enhances convenience by providing an option to process the current timeframe in single-timeframe mode when "current" is selected in the timeframe input. This update improves accessibility for users monitoring multiple timeframes. There's no change in core functionality, preserving the original intent while adding a flexible viewing capability. This indicator remains straightforward, offering a simple solution for those needing to analyze zigzag patterns across different timeframes efficiently.

👉 Read | Docs | @mql5dev

#MQL5 #MT5 #Indicator

An indicator analyzes the count of one-direction movements within a selected period. Similar to Renko charts, it considers both directional movements. It assists in identifying consolidation zones, facilitating breakout strategies. This tool enhances analytical capabilities by offering insights into market behavior patterns not apparent in traditional charts. Users can leverage this to improve strategy precision and anticipate potential breakout points, making it a valuable addition to comprehensive market analysis frameworks.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Indicator

Explore the intricacies of enhancing MetaTrader 5 systems in algorithmic trading through structured modular approaches. This article focuses on improving the order execution process by establishing seamless communication with real trading servers. Developers will appreciate the thoughtful breakdown of creating a responsive system where components like the Chart Trade indicator and Expert Advisor interact efficiently to manage market buy and sell orders. Emphasis is placed on separating logical elements for clarity and reducing errors. Understanding this architecture not only facilitates smoother trading operations but also boosts confidence and control over personal investments, highlighting its significance in sophisticated trading solutions.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #Performance

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.

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #Scalper

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.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #FinTech

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.

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #AlgoTrading

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.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Indicator

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.

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #Algorithm

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.

👉 Read | Docs | @mql5dev

#MQL5 #MT5 #Indicator

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.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #Indicator

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.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Strategy

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.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #Indicator

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...

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #Algorithm

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...

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #Trading

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 MQL5’s 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.

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#MQL5 #MT5 #script

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...

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #Trading