The process for closing or deleting single currency or manual orders is straightforward. For multi-currency EAs, the code utilizes the Comment field to identify which orders to close or delete. If the EAComment input is left empty, the closure is based on the specified close type. The system supports both prefix and suffix for EA Comments to increase flexibility. The current setup provides foundational functionality. There is potential for further development, particularly in extending options or refining processes. Suggestions for enhancements can be considered to meet specific requirements or to broaden applicability.

👉 Read | Forum | @mql5dev

#MQL4 #MT4 #EA

Algorithmic trading presents challenges that require innovative approaches. Traditional price prediction often underperforms in comparison to strategies that focus on technical indicator readings. Models that adapt to market conditions by evaluating multiple strategies tend to show better results. An adaptable application capable of switching between a Moving Average Crossover Continuation Strategy, a Relative Strength Index Momentum Strategy, and a Williams Percent Range Trend Breakout Strategy can improve trade outcomes.

Combining strategies effectively requires attention to detail, such as encasing strategies within classes and utilizing object-oriented programming principles. This facilitates robust testing and optimization.

Tools like MetaTrader 5, with its Walk Forward Testing and Genetic Optimizers, allow traders to refine strategies for perfo...

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #Algorithm

The Pending_tread Expert Advisor (EA) serves as a solution for automated trading, focusing on the placement and management of pending orders in a structured grid format. It accommodates scalping strategies and is adaptable across various timeframes and currency pairs, providing a broad utility for diverse trading approaches.

A key feature is its ability to create grids of pending buy and sell orders, spaced by user-defined intervals for optimal market capture. The EA provides flexibility in configuring the number of orders and their spacing, enhancing control over order execution.

It includes features such as custom order types, configurable take profit levels, and comprehensive order management, reducing manual intervention for efficiency. The system respects broker constraints, ensuring orders are placed within acceptable parameters without overloading tr...

👉 Read | CodeBase | @mql5dev

#MQL4 #MT4 #EA

In the latest update of our MetaTrader 5 replay system, a novel approach to managing custom symbol timeframe changes is being implemented. This addresses the inconvenience faced when the chart timeframe alterations result in temporary indicator disruptions. The proposed solution bypasses the need for storing indicator state externally by detecting timeframe changes directly through the service. By effectively encoding timeframe change information into a data buffer using previously tested reduced-bit logic, the system ensures seamless synchronization between the service and indicators. This refinement not only eliminates redundant initialization paths but also enhances reliability and performance in replay/simulator scenarios.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #AlgoTrading

Dive into the depths of MetaTrader 5 with this exploration into memory management, array manipulation, and advanced programming techniques like enumerations and variable arguments. Discover how to efficiently handle memory using the sizeof operator, and simplify code readability with enums. Learn the ingenious method of mimicking C/C++-like variable arguments in MQL5, enabling dynamic data transfer through string manipulations. This article not only paves the way for sophisticated MT5 applications but also provides fundamental lessons every algorithmic trader and developer should master. Unlock the true potential of MQL5 with these structured, step-by-step insights into advanced programming concepts.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #Arrays

This custom MQL5 indicator is designed to enhance trading strategies by detecting and visualizing divergences between price action and the Awesome Oscillator (AO). Divergences, often signaling potential market reversals or continuations, occur when price movements diverge from oscillator movements. This indicator incorporates several features to aid traders.

Key features include the detection of bullish and bearish divergences, identified by discrepancies between price and AO trends, such as price forming lower lows versus AO forming higher lows, or price achieving higher highs with AO forming lower highs. It visualizes these divergences on the chart using buy/sell arrows and trendlines, alongside a histogram displaying AO values.

The indicator utilizes buffers to store key data, ensuring that buy/sell signals, AO values, and aligned points for diver...

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Indicator

The TuyulGAP.mq5 Expert Advisor for MetaTrader 5 targets gap trading strategies at the start of the week. It uses dynamic price action from the previous Friday to automate Buy Stop and Sell Stop orders. These orders rely on a range defined from the highest and lowest prices of a set number of past candles, positioned on Friday evening.

Critical features include automatic pending order placement, scheduled Friday execution, Monday pending order deletion, and a weekly restriction to one setup. Key input parameters like lot size, stop loss, and profit targets provide user configurability. The EA supports automated trading setups devoid of technical indicators, focusing instead on strategic end-of-week execution. This solution may appeal to traders seeking automated, rule-based weekend gap trading setups. The system aims for simplicity in configuration, alignin...

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #EA

The recent exploration of the SAR and RVI indicators in a trading context gained attention due to unique challenges and opportunities. Following rigorous backward testing, patterns indexed 1, 2, and 6 failed to perform well, prompting consideration of machine learning to enhance their predictive power. Implementation of SAR involves tracking trend reversals with precision, while RVI seeks to measure trend strength through momentum. Both indicators were developed in Python, leveraging pandas for data management and NumPy for computational efficiency. This dual-indicator approach emphasizes quantifying market signals to refine trading strategies, with emphasis on maintaining computational accuracy and signal validation.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Indicator

Today, we address limitations of accessing News and Economic Calendar in MetaTrader 5 during active chart analysis. The current interface requires users to manually view separate tabs within the Toolbox, which can obstruct chart view when expanded.

To enhance trading efficiency, the proposed solution integrates news headlines and calendar events directly onto the chart. This approach leverages the MQL5 Standard Library and the CCanvas class to overlay dynamic content, maintaining full chart visibility. This method preserves space and delivers real-time economic updates without clutter, aiming to improve situational awareness and chart functionality.

Stay tuned for detailed implementation and testing outcomes.

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #EA

Logify's latest enhancement takes error handling in MetaTrader 5 to a new level of precision and accessibility. This update allows developers to access error descriptions directly from MQL5 documentation, effortlessly enriching logs with contextual information. Now, logs can include multilingual error messages, offering support in eleven languages from English to Korean. This provides comprehensive clarity across diverse teams without manual adjustments. Practical custom formatting for error severity further refines logging precision. By integrating a dynamic formatter that adapts by log level, Logify ensures concise, informative, and clear error reporting, replacing superficial codes with meaningful context. This evolution exemplifies meticulous, scalable logging solutions.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #EA

Explore the innovative approach to minimizing lag in moving average crossovers for algorithmic trading in MetaTrader 5. By setting common periods for moving averages and forecasting crossovers, traders can achieve more responsive signals. This article demonstrates the application of data science principles, projecting datasets into higher dimensions to improve trading strategy accuracy. Practical steps include creating handcrafted, feature-rich datasets and using ONNX models for enhanced market predictions. This method offers potential improvements over traditional strategies, emphasizing the importance of creativity and critical thinking in overcoming technical indicator limitations. Discover how to elevate your trading strategies with these advanced techniques.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Indicator

Directional Diffusion Models (DDMs) offer an innovative approach to graph representation learning by addressing the limitations of traditional diffusion models that rely on isotropic noise. DDMs incorporate data-dependent, directional noise, which slows down the signal-to-noise ratio decay, preserving crucial anisotropic structures. This leads to better feature extraction for downstream tasks like graph classification. The technique is particularly promising for financial market analysis, where asymmetric and directional patterns are prevalent. Implementing DDMs involves adding directional noise, using a novel kernel in OpenCL, and integrating it with MQL5 for practical application. The framework enhances MetaTrader 5 by facilitating the analysis of market trends and dependencies effectively.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #ML

Recent studies reveal a notable impact of weather on financial decisions. Research from Professor Edward Saykin indicates that rainy days lead to 27% more restrained trading behavior. High temperatures influence NYSE trading volumes, often reducing them by 15%. In Asia, low atmospheric pressure increases market volatility. By analyzing historical data from major financial hubs, the connection between weather and market dynamics is established. The methodology involves gathering data via the Meteostat API and synchronizing it with financial instruments using MetaTrader 5. Machine learning, particularly CatBoost, analyzes correlations, forecasting with significant accuracy, especially in agricultural regions. Weather factors notably affect currencies related to agricultural outputs. Regular updates and methodological refinements are essential for maintaining f...

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #Algorithm

A new utility is available for developers requiring an effective method for converting Pine Script to MQL5. This solution is aimed at simplifying the conversion process while maintaining the core functionality of the script. For those in pursuit of streamlined and efficient conversion techniques, access to the compiled version is provided for practical use. Developers are encouraged to review the provided Pine Script code to understand the application and functionality that can be translated into MQL5. This approach supports the need for a seamless transition between scripting languages in trading and financial analysis environments.

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #PineScript

The library in question is designed for efficient decompression of GZIP archives, useful for both *.gz files and HTTP responses compressed using GZIP. Robustly tested on files containing up to 0.5 GB of text. It can automatically determine compression type by examining the fourth-byte flag, distinguishing between a compressed file and data from a site without filename metadata. Decompression expects data input in a char array format.

The primary function for decompression is CryptDecode(CRYPT_ARCH_ZIP, tmp, key, tx). It integrates a GZIP class for initial checks to confirm if data is GZIP compressed through its first three characters. Upon verification, one might choose from various unGZIP method overloads aimed at optimizing speed and memory usage. The decompressed data fills the char array tx, facilitating immediate processing by parsers like CSV o...

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Decrypt

Latent Gaussian Mixture Model (LGMM) offers a structured approach to uncover hidden patterns in financial data through a probabilistic generative model. By clustering data based on latent variables, LGMM enables traders to identify underlying trends and integrate these features into machine learning models. A key highlight of LGMM is its ability to handle data generated from multiple Gaussian distributions while revealing insights that improve model accuracy.

In a financial context, LGMM can be applied to the indicators data, assisting in the discovery of market patterns not visible at first glance. Using the Expectation-Maximization algorithm, LGMM estimates latent variables to optimize clustering. When combined with a classifier model, such as Random Forest, LGMM provides a robust foundation for developing predictive models and trading robots.

However, LGMM's...

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #LGMM

The Levenberg-Marquardt algorithm, a Newtonian optimization method variant, is proficient for fast training of feed-forward neural networks. This algorithm excels in online training for neural networks adapting to dynamic trading conditions, minimizing the loss function in minimal training epochs. Although not currently implemented in MQL5, it stands as an efficient alternative to methods like L-BFGS.

The gradient descent variants, including momentum and stochastic gradient descent (SGD), demonstrate improved convergence for larger datasets. Gradient descent with momentum lessens parameter oscillations, enhancing convergence speed, while SGD remains efficient with vast datasets by updating weights for small data subsets.

Testing against algorithms from Python's scikit-learn highlights the competitive speed and precision of the Levenberg-Marquardt methodolo...

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #AI

The newly released Expert Advisor, EXSR version 1.0 for MetaTrader 5, offers a strategic approach to counter-trend trading by identifying market reversals at points of extreme price exhaustion. This EA employs a combination of a high-threshold RSI and Bollinger Bands to filter trading signals.

Key technical components include the RSI(14) to identify extreme overbought or oversold conditions, while the Bollinger Bands confirm price piercings at the outer band. Trade entries rely on subsequent reversal candlestick patterns: bullish closes following oversold breaks or bearish closes following overbought breaks.

EXSR incorporates a fixed Stop Loss of 150 pips and Take Profit of 300 pips, ensuring predefined risk management. The single-position logic prevents conflicting trades, while the clean OOP design utilizes CTrade for seamless order placement. This EA ...

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#MQL5 #MT5 #EA

Enhance your algorithmic trading with an innovative approach combining the MACD oscillator and OBV for strategic insights in the forex market. By leveraging these indicators, we can optimize pattern signals, trade entry gaps, and take-profit targets without relying on stop-losses. This methodology effectively enhances signal reliability by confirming trend reversals with volume pressure, using logical frameworks in MQL5 language. Ideal for detecting momentum and volume-confirmed setups in varying market conditions, each trading pattern is rigorously tested and refined. Suitable for developers and traders aiming to integrate refined strategies into their MetaTrader 5 systems.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Indicator

The integration of an external news API into the MetaTrader 5 platform significantly enhances the capabilities of the News Headline EA. This integration involves accessing financial market news through the Alpha Vantage API, retrieving concise headlines, and displaying them on the chart. This provides traders with real-time updates without switching platforms.

Key components include obtaining an API key, understanding the API documentation, and parsing JSON data. The WebRequest function in MQL5 is used to securely retrieve and integrate this data. The headlines are dynamically fetched and streamed across the trading chart in a scrolling ticker, adding valuable context for decision-making.

Testing is essential to ensure smooth API access and proper headline display. Proper setup includes enabling WebRequest for the Alpha Vantage URL in MetaTrader 5. Vali...

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #Integration

An Opening Range Breakout (ORB) strategy effectively manages early market volatility by establishing high and low thresholds in the initial moments of trading. Capturing this range is crucial for detecting genuine breakouts and mitigating false signals. Using a professional MQL5 Expert Advisor, this approach incorporates clear visual markers, retest confirmations, and volatility assessments. Core components include encapsulated range logic, ATR-based volatility filters, a retest confirmation mechanism, and a dynamic on-chart dashboard. The EA operates with a state machine design for structured execution. Employing modern MQL5 practices ensures robust, efficient performance, highlighting the flexibility and precision of automated trading systems.

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #EA