Explore an advanced MetaTrader 5 Expert Advisor blending the Fractals indicator with Exponential Moving Averages (EMA) to enhance price action analysis. This system integrates fractal patterns with EMA 14 and 200 to identify potential market reversals aligned with trend directions. By marking critical fractal support/resistance levels and confirming breakouts with EMA trends, traders gain clearer, more reliable entry points. The modular code allows for customization, while visual cues such as arrows and labels streamline decision-making. The EA's effectiveness in both backtesting and live environments demonstrates its ability to provide early reversal signals and improve trading precision.

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Machine learning often focuses on individual candlesticks, sidelining patterns that reveal significant market trends. These patterns, formed under similar conditions, provide insight into market behavior. The Atom-Motif Contrastive Transformer (AMCT) framework was developed to enhance molecular prediction by utilizing atom and motif representations. Through contrastive learning, AMCT aligns atom and motif views of the same entity, improving molecular representation quality.

Implementation in programming environments like MQL5 involves creating parallel pathways for atoms and motifs, using tools like OpenCL to efficiently handle data gradients. Emphasizing consistency across molecules, motif contrastive loss bolsters the robustness of predictions. Integrating relative encoding enhances framework architecture, ensuring cohesive model training.

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This Expert Advisor (EA) is engineered to automate triangular arbitrage among EURUSD, USDJPY, and EURJPY currency pairs. It systematically identifies arbitrage opportunities by calculating the implied EURJPY price via the Ask prices of EURUSD and USDJPY, comparing it with the direct EURJPY price. When a predefined relative difference threshold is surpassed, an opportunity arises.

The EA executes trades based on this analysis: purchasing EURJPY and offloading EURUSD and USDJPY if the implied price exceeds the direct price, or conducting the inverse trades if otherwise. It employs a specific Magic Number for effective tracking of positions, isolating its transactions from others. Positions are closed when cumulative profits surpass the set target. Robust error handling mechanisms ensure seamless operations, automatically addressing issues during trade execution. ...

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Developing a multi-timeframe scanner dashboard in MQL5 enhances strategic trading through real-time trading signals. This tool features a grid layout with buy/sell indicators across timeframes like RSI, STOCH, CCI, ADX, and AO, helping traders spot trends without switching charts. Key to implementation is object management, with specific constants for dashboard design, enabling organized UI structuring. Functions like "calculate_signal_strength" assess market conditions for actionable insights. Dynamic updates ensure responsive interaction, while a close button facilitates user-friendly control. This setup supports adaptability for further enhancements, such as automated alerts, thus empowering traders with a streamlined monitoring process.

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The development of an Expert Advisor (EA) in MQL5 revolves around precise identification of trend lines which facilitate automated trade decisions. This programmatic approach requires a deep dive into MQL5 functions, emphasizing efficient data retrieval and analysis of chart patterns. Key components include accessing exact price values through ObjectGetValueByTime(), which enables the EA to align trade execution precisely with trend movements.

Trend lines, differentiated as ascending or descending, serve as the core markers of market direction. Ascending lines indicate support in an uptrend, presenting buying opportunities when price action aligns. Conversely, descending lines act as resistance in downtrends, signaling potential sell points. An EA exploiting these dynamics observes candlestick behaviors such as wicks and closes to confirm pattern breaks or re...

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Time series forecasting is critical in predicting future values from historical data. It involves key variables: time (independent) and target variable (dependent). This ensures informed predictions by leveraging past trends. Univariate and multivariate approaches exist.

ARIMA (AutoRegressive Integrated Moving Average) is specialized for time series analysis, using past values and prediction errors to forecast future values. Composed of AR (p - past value influence), I (d - differencing to achieve stationarity), and MA (q - lagged errors). Determining optimal p, d, q values involves PACF and ACF plots.

In Python, ARIMA can model financial data like EURUSD. The SARIMA extends ARIMA, incorporating seasonality, for data with regular patterns. Both models assume stationarity and are linear, offering accurate forecasting within their domains. Understanding ...

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Modifying the mouse indicator to receive order book events is essential when using replay systems in simulation applications. Understanding previous modifications is key for following current content. Integration of order book events allows improved usage of the OnCalculate function through iSpread data retrieval in MetaTrader 5.

In transitioning code from a test service to a replay/simulation service, attention must be given to proper loading sequences for modules. It is important to handle control indicators before the mouse indicator for effective execution. With order book messages, initializing appropriate variables and constants in the class constructor can ensure auction states display correctly, enhancing the visual accuracy of mouse indicators.

Handling time gaps requires careful event management to prevent flickering effects and ensure seamle...

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An essential indicator has been developed to meet the requirements of Expert Advisors (EAs) seeking to monitor fluctuations in volume. This tool offers a straightforward method of calculating the average volume over a specified time period using candles. It accommodates both Tick Volume and real volume. To determine if the volume has increased, EAs need only compare whether the volume from a longer period is less than that from a shorter period. The indicator integrates seamlessly with MQL5 and FX Dreema EAs. In scenarios where only Tick Volume is available, the indicator displays a pink line representing average tick volume. Should real volume data be provided, it is illustrated as a blue line, providing a comprehensive volume analysis.

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The recent update addresses fundamental issues in Windows Forms-style control development. Initial graphical object handling encountered problems when switching chart timeframes, leading to graphical objects not being displayed. This was accompanied by journal messages indicating object creation failures. While only form objects were interactive with the mouse, the core graphical element did not include mouse-handling capabilities. This necessitated changes to ensure form objects could serve as minimum graphical objects for interaction.

Additionally, enhancements were made to the library classes. The introduction of the new GraphINI.mqh file enables rapid styling of graphical elements by defining color schemes and various display styles. This reorganization aims to improve parameter readability. To prevent memory leaks during object inheritance, c...

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In the MetaTrader 5 Build 5100, we've significantly enhanced the MetaEditor source code editor. The built-in version control system MQL5 Storage has transitioned from Subversion to Git – the global standard for developers – offering enhanced reliability and flexibility in code management.

With this transition, we're introducing MQL5 Algo Forge, a new online portal for project management. This is not just a project list, it is a full-fledged social network for developers. Follow interesting developers, create collaborative teams, and manage projects effortlessly.

Additionally, we've implemented dark mode support for all platform components, offering a more comfortable user experience during nighttime hours.

For hosting, we now offer a 12-month VPS rental option. By purchasing long-term hosting upfront, you save one-third of the total cost.

Finally, we've significantly expanded support for OpenBLAS linear algebra libraries in MQL5, adding nearly thirty new functions.

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A custom indicator developed for MetaTrader 5 is designed to display a BMP image centrally on the trading chart. It allows traders to incorporate static visual elements like logos, branding, or messages without interfering with chart analysis or market data. This indicator functions by creating an OBJ_BITMAP_LABEL object to exhibit an image (2.bmp) located in the MQL5Images folder. It calculates the center of the chart automatically and positions the image accordingly. Furthermore, it adjusts the image position with every new tick, ensuring it remains centered even when the chart window is resized. This utility enhances visual customization for traders while maintaining analysis integrity.

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In the recent analysis, only 3 out of 10 signal-pattern combinations, using TRIX and Williams Percent Range (WPR), succeeded in forward-walk testing on the CHF JPY 4-hour timeframe. Training was conducted for 2023, with forward walking over 2024. Python was used to implement these patterns, leveraging its efficiency in coding and training networks, even without a GPU.

The TRIX function in Python calculates the rate of change of a triple-smoothed EMA, helping identify trend direction and reversals. The WPR function serves as a support/resistance oscillator to determine overbought/oversold conditions. Both functions emphasize the importance of proper input management and error handling.

The Conv1D network utilizes cosine kernels for adaptive channel progression and robust feature extraction. This method is advantageous for handling sequential data patterns, par...

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Trade execution and risk management are crucial in automating MetaQuotes Language 5 (MQL5) strategies. In Part 19 of developing the Envelopes Trend Bounce Scalping Strategy, focus shifts to implementing these components to build a fully operational system. Initially, define a consistent signal evaluation framework by establishing interfaces like "IAdvisorStrategyExpression" and respective classes for signal management.

Next, develop "TradeSignalCollection" and "AdvisorStrategy" classes to handle signal registration and evaluation, which lays an essential foundation for efficient trade execution. Implement buy and sell signal logic using derived classes from "ASSignal," incorporating indicators and market conditions to trigger appropriate signals.

Money management is structured with the "IMoneyManager" interface, ensuring optimal trade sizing and lot c...

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The article focuses on enhancing candlestick pattern recognition with RSI divergence for improved trading signals. Two key patterns—pin bar and engulfing—are combined with RSI divergence for robust analysis. This method addresses the shortcomings of relying solely on pattern recognition by integrating momentum indicators.

The strategy includes an in-depth examination of pin bars and engulfing patterns, followed by an RSI divergence confirmation. The process involves backtesting using historical data to validate the strategy's effectiveness. Results suggest high reliability, particularly when multiple criteria confirm signals.

The tool's modular design allows for real-time data analysis, visual signals, and timely alerts, making it suitable for traders seeking systematic approaches.

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Explore the power of ALGLIB optimization methods in MetaTrader 5! Delve into advanced algorithms including BC for box-constrained problems and NLC for nonlinear constraints, which offer refined precision and adaptability for complex multidimensional tasks. Discover how BC optimizes with faster constraint activation, while NLC excels in managing various constraints using sequential quadratic programming, augmented Lagrangian, and linear programming solvers. Additionally, the Levenberg-Marquardt method blends gradient descent with Gauss-Newton techniques for exceptional curve fitting. Enhance your trading strategies with these robust solutions designed to tackle sophisticated financial models, providing developers and traders a practical edge in algorithmic trading.

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For developers and technical analysts interested in chart customisation, implementing a clear distinction between bullish and bearish candles can aid in market analysis. The process involves two main steps: drawing the wicks and the candle bodies.

First, draw vertical lines, or "wicks," from the lowest price to the highest price of each candle. These lines provide a visual range of activity within each period. Next, draw a rectangle for the body of the candle, with the opening and closing prices determining its top and bottom edges. Use distinct colors to differentiate between bullish and bearish candles. For example, a maroon body might indicate bearish movement, with light violet wicks, enhancing visual distinction.

This approach offers a customised visual style, helping analysts quickly identify trends and price actions. Adapt color settings ...

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Explore the Money Flow Index (MFI) in trading, a volume-based indicator that measures buying and selling pressure, providing valuable insights for traders. Calculated with price and volume data, MFI offers signals for trends and reversals. Learn to implement MFI in MetaTrader 5 using MQL5, crafting strategies like identifying oversold/overbought zones or divergence patterns. Developers can design trading systems by creating MFI-based strategies and coding them in MQL5. Each strategy blueprint aids in crafting tailored trading systems, enriching both traders' toolkits and developers' coding skills. Use this guide to enhance your algorithmic trading knowledge and system development proficiency.

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The 2 Moving Averages indicator is an advanced MQL4 tool that aids traders by pinpointing trend directions and potential entry points. It utilizes two moving averages: a fast and a slow one, following the crossover strategy. A buy signal is initiated when the fast average surpasses the slow one, while a sell signal emerges when it falls below.

The indicator also integrates dynamic support and resistance levels, enhancing decision-making accuracy by highlighting significant price levels where the market has shown reversals or consolidation. Traders can customize the periods and types of averages—Simple, Exponential, Smoothed, or Linear Weighted—tailoring it to various styles.

Suitable for scalping, swing trading, and long-term analysis, it provides alerts for MA crossovers and key zones, being effective across all symbols and time frames. This makes it a v...

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The newly introduced indicator is a variation of the Divergence Awesome Oscillator, designed for enhanced market analysis. This tool provides traders with the ability to identify potential reversals by showing divergences between price movements and the oscillator's activity. It assists in decision-making by offering insights into market conditions. Its advanced algorithm builds upon the traditional concepts of divergence, aiming to deliver precise and timely signals. Users seeking further implementation details can explore available resources to better understand its functionality. It remains an essential addition to the technical analyst's toolkit for improving trading strategies.

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Explore the development of a logistic model aimed at predicting stock market crashes using comprehensive data analysis. Focus on key factors affecting stock prices, such as company performance, interest rates, and inflation. Assess the relevance and correlation of each factor, like the Price-to-Earnings Ratio and Earnings Per Share. The approach involves refining data selection to strengthen predictive accuracy, utilizing logistic regression for classifications. Evaluate model performance with testing data, achieving an accuracy of 70.45% for Apple's dataset, demonstrating a promising predictive tool for traders. Additionally, explore the practicality of deploying these models in real-time market testing for enhanced decision-making strategies.

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