Enhancing the library classes involves optimizing existing code to improve readability and reduce redundancy by formalizing repetitive logic into functions or methods. This approach streamlines code management, ensuring a cleaner and more efficient structure.

The addition of a geometric animation frame object class enables easier construction of regular polygons by calculating their vertex coordinates using geometric equations, improving precision and reducing manual calculations.

Adjustments have been made to accommodate geometric shapes, including changes in animation frame naming conventions and the addition of new enumeration types for geometric animations. This ensures consistent handling of all animation frames regardless of their shape or type.

Geometric animation frames now facilitate inserting regular polygons into circumscribed circles, e...

👉 Read | AlgoBook | @mql5dev

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John Ehlers has proposed an enhanced RSI in the January 2022 issue of TASC using Hann windowing, resulting in a smoother RSIH indicator with a zero mean. This approach eliminates the need for additional filtering due to inherent smoothing in the calculation. RSIH can be applied like any other RSI indicator. Its momentum nature suggests potential momentum shifts when color changes occur. Furthermore, zero crossings could serve as indicators of long-term trend estimations. The development signifies a potential alternative to traditional RSI, offering insights in momentum and trend analysis with improved performance characteristics.

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Explore the next phase of algorithmic trading with MetaTrader 5 as we enhance support and resistance zones with decision-making intelligence. Building on earlier work, we're shifting from passive analysis to active decision making. The focus is on programmable entry logic using candlestick patterns within specific zones, vital for precise trading in smaller accounts. Automating detection and notifications ensures traders capture every opportunity efficiently. We present a modular system leveraging MQL5 for real-time alerts, zone-awareness, and advanced candlestick detection. This innovation paves the way for future automated solutions, offering both traders and developers a robust framework to refine and execute trading strategies.

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#MQL5 #MT5 #Algorithm

A new indicator implementation focuses on candlestick analysis without further modernization plans. The current design identifies when a candlestick body breaks through the blue line, offering insights for decision-making processes in trading or data analysis. The approach remains static, prioritizing stability over feature expansion at this stage. It provides a straightforward tool for users seeking reliable pattern identification in their technical analysis workflows. Suitable for those requiring a consistent performance in monitoring specific market movements, this implementation allows for clear visualization of key trading signals.

👉 Read | AlgoBook | @mql5dev

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Analyzing financial time series through clustering provides a strategic advantage in trading system development. By segmenting data into distinct clusters characterized by unique features, one can fine-tune trading models for more consistent results. This technique aids in separating distinct market regimes, enabling trading systems to adapt to specific market conditions, such as trends and volatility levels.

The integration of clustering methods with mean reversion labeling enhances model training. Implementing filters like Savitzky-Golay, along with adding Moving Averages and Splines, supports robust labeling. This refines the learning environment, allowing for precision in trade decision-making. Employing Python for handling these processes, and using packages like Numba, underscores flexibility and computational efficiency in model training.

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#MQL5 #MT5 #MachineLearning

Explore the DeepAR model in algorithmic trading—an autoregressive neural network designed for probabilistic time-series forecasting. Unlike traditional models, DeepAR provides full distributions of future values, aiding in risk-aware decisions. Built on RNN architecture with LSTM cells, it learns shared patterns across time series, capturing trends and seasonality effectively. By utilizing both static and dynamic features, it surpasses models like XGBoost in handling diverse data inputs. Implemented in Python with PyTorch Forecasting components, DeepAR enables powerful forecasting capabilities for traders, making it a potent tool for complex, real-time market predictions. This innovative model brings a novel solution to multicurrency trading challenges.

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In MT5, the standard NewTick event triggers only for the symbol on which an Expert Advisor (EA) is active, making multisymbol trading challenging. To address this, a library has been created to implement a multisymbol OnTick event across specified trading symbols. It serves as a convenient enhancement to the existing framework.

This is showcased through an example of a multisymbol EA designed to tally incoming ticks for each specified symbol. By using the MT5 Tester, users can verify EA functionality. Symbols of interest are input after a comma, dictating the multisymbol OnTick's scope. Results from the Tester confirm that all ticks for these symbols are processed appropriately. This ensures EAs function consistently without reliance on a base symbol, as ticks for all specified symbols are captured efficiently.

👉 Read | Calendar | @mql5dev

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Implementing RSA in its raw form offers insight into its encryption process. Create an RSA instance and format the message to encrypt into a uchar[] array. Apply EncryptPKCS1v15 for encryption, producing a char array result, altered by padding particulars.

Real-world applications often employ RSA in tandem with AES due to RSA's computational load and key size restrictions. Hybrid models overcome these by encrypting a randomly generated AES session key with RSA, while the data payload is secured using AES, optimal for larger data due to its speed. The AES-encrypted message and RSA-encrypted key are sent together, efficiently blending the benefits of both algorithms, with RSA securing the AES key exchange and AES providing rapid data encryption.

Within MQL5, this amalgamation facilitates secure communication between components via built-in CryptEncode(...

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #RSA

The BBMA strategy, developed by Ali Oma from Malaysia, incorporates Bollinger Bands and Moving Averages to identify market movements. The strategy emphasizes the combination of signals from various time frames, enhancing the probability of successful entries. Key components include CSA/CSAK, MHV, Momentum, and Reentry Zone ZeroLoss. The integration of these elements into clear standard operating procedures aids traders in discovering high-probability entry points.

The BBMA indicator simplifies analysis by displaying all signals concurrently on a chart. It minimizes the chance of missing crucial market movements. Separate data buffers for each signal facilitate the integration with Expert Advisors, supporting custom dashboard development or fully automated trading systems. This structured approach provides a comprehensive outlook on market trends for effec...

👉 Read | AppStore | @mql5dev

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The third part of our series enhances a gauge-based MQL5 indicator for displaying multiple oscillators like RSI, CCI, and MFI. Building on previous work, this iteration introduces sector and round gauge styles with advanced rendering, employing derived classes for tailored visualization.

The framework supports selective indicator combinations via user inputs. It utilizes enumerations for gauge selection and null mark positioning, allowing flexible layouts, particularly beneficial for showing oscillators with negative ranges like CCI.

The implementation involves setting up and initializing the gauges, creating unique instances for RSI, CCI, and MFI, and managing their visual properties and data representation. The application dynamically updates the buffer data and reflects it graphically, ensuring accurate and visually appealing output.

The prop...

👉 Read | NeuroBook | @mql5dev

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Explore the synergy between Python and MQL5 with this insightful article on enhancing file I/O operations in MetaTrader 5. Discover how Python's flexible file handling capabilities can inspire robust solutions in MQL5, including automated file flag generation and abstraction techniques. Dive into the nuances of reading and writing different data types, handling CSV files effectively with custom-built classes, and managing file modes to ensure seamless integration in trading environments. Learn how to simplify complex tasks, reduce errors, and improve code maintainability—all without compromising on MQL5's native offerings. Perfect for traders and developers seeking efficient algorithmic trading strategies.

👉 Read | Quotes | @mql5dev

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A utility function simplifies timeframe representation by converting full timeframe identifiers such as "PERIOD_M1" to their concise forms like "M1". This can enhance code readability and efficiency by streamlining how timeframes are displayed and referenced in your projects. By using shortened names, the codebase remains clean without losing the clarity of timeframe identification. Implementing such a function improves maintainability and can facilitate easier updates or modifications across projects. Effective for developers looking to optimize their workflow by reducing verbosity in their scripts and ensuring a more intuitive understanding of time-based operations.

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #Timeframes

Creating custom indicators with candlestick charts in MQL5 involves various methods, each with distinct characteristics. The simplest approach is constructing single-color candles, neglecting highs and lows. More complex is using multicolored candles guided by defined business rules, which aids in interpreting market movements.

Building a basic candlestick chart requires defining price series for open, high, low, and close values. Utilizing buffers to store data is key, and color differentiation is tied to business logic. For example, green indicates buying, red for selling, and yellow reflects a neutral state in the market.

Using DRAW_COLOR_CANDLES allows multicolored candle plotting, adding an extra buffer for storing color data. This buffer facilitates distinguishing between bullish and bearish candles based on preset trading conditions.

If co...

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The price channel indicator is a tool allowing customization of both the period and line colors, providing versatility in trading strategies. It is often utilized in channel break strategies, as it helps identify support and resistance levels within market trends. The ability to adjust these parameters offers traders insights into price movements and potential breakout points. This accuracy in setting channels aids in making informed decisions and enhancing strategic approaches. The price channel indicator stands as a valuable resource for traders aiming to pinpoint market entry and exit opportunities while accommodating various personal and trading preferences.

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For traders seeking efficiency, this article delves into optimizing trade execution by analyzing historic Bid/Ask spreads using MetaTrader 5's tick data. It offers a technical solution for evaluating brokers' declared versus actual spreads, particularly during volatile markets or specific trading hours. The article demonstrates how to harness OnInit() and OnCalculate() functions for strategic analysis of recent price actions. This approach empowers traders and developers to make informed decisions by understanding true cost impacts on strategies, especially in high-frequency trading. Ultimately, it highlights the importance of selecting brokers with reasonable spreads to maintain profitability.

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#MQL5 #MT5 #Forex

Introducing the ZigZag Color Indicator for line charts, designed to operate on close prices instead of high and low values. This tool simplifies trend analysis by focusing on market closures, enhancing clarity in chart readings. The indicator offers a single input parameter, ExtDepth, allowing users to fine-tune the sensitivity of trend detection with minimal effort. Optimized for performance, it ensures efficient chart analysis without compromising on speed or accuracy. Ideal for traders seeking streamlined insights into market movements while maintaining system responsiveness.

👉 Read | Freelance | @mql5dev

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Understanding multi-task learning frameworks in financial market analysis reveals key advantages of using the ResNeXt architecture. This architecture employs a shared encoder to achieve robust pattern extraction across diverse tasks, enhancing generalization and resilience to noise. By reducing model overfitting through joint task training, it increases model stability in volatile markets. Computational efficiency is also improved, crucial for real-time trading systems.

ResNeXt's modularity and grouped convolutions optimize performance without significant computational cost. This flexibility supports task-specific adaptability, crucial for algorithmic trading where latency matters. Integrating multi-task learning with ResNeXt fosters robust modeling for dynamic market conditions.

👉 Read | Docs | @mql5dev

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The Successful Restaurateur Algorithm (SRA) offers a unique approach to optimization by focusing on improvement rather than elimination. Unlike traditional methods, SRA enhances weaker solutions by integrating successful elements from better ones, maintaining diversity and steady improvement.

The implementation involves a main loop that selects the least successful "dish," combines it with elements from the best, and evaluates the new solutions. Parameters like temperature and innovation rate control experimentation intensity, balancing exploration and refinement.

Tests show SRA's broad search capabilities but highlight its challenges in precise solution refinement, ranking it 20th among population optimization algorithms. Despite mixed results, SRA's distinctive strategy provides valuable insights for future algorithm development.

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#MQL5 #MT5 #Algorithm

Discover momentum deviation bands, an indicator akin to Bollinger bands. This tool assists in analyzing market momentum shifts. Use it as you would Bollinger bands to assess price volatility and potential breakouts. It offers insight into market behavior by tracking deviations from a moving average. This can aid in identifying trading opportunities and gauging market conditions. Employ momentum deviation bands to enhance technical analysis and refine trading strategies. Suitable for those seeking to expand their toolkit with a method focused on interpreting price movement dynamics.

👉 Read | Docs | @mql5dev

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Discover how to create a Mini Chat in MetaTrader 5 with sockets! In this article, explore integrating a chat system using sockets without the need for DLLs. Learn to separate client-server architecture, with clients in MQL5 and an external program as the server. This showcases the adaptability of sockets and offers a practical example of embedding them in a trading platform via an Expert Advisor. The demonstration includes managing connections dynamically and using a circular buffer for messages. Whether you're enhancing trading tools or experimenting with new features, this guide offers valuable insights into integrating interactive elements within MT5.

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#MQL5 #MT5 #Sockets

Testing Non-Random Market Behavior with MQL5

The concepts of market randomness and predictability form the core of trading strategies. This discussion focuses on Larry Williams’ approach to determining whether markets display non-random behaviors. By utilizing MQL5, experiments are designed to test if certain price patterns appear more often than chance would suggest.

Experiments cover three main areas: overall directional bias within a single candle, conditional probability patterns after sequential candles, and short-term market structures like Williams’ three-bar pattern. Each experiment uses an algorithmic approach to scan historical data and calculate probabilities.

The MQL5 Expert Advisor is crafted to assess the probability of repeated patterns, simulating real trading conditions by opening and closing positions at candle boundaries. This allo...

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#MQL5 #MT5 #Trading