Dive deep into the technical intricacies of the Parabolic SAR indicator, a tool essential for traders in trending markets. Explore how this trend-following indicator, conceived by Welles Wilder, aids in setting effective trailing stops, enhancing your trading precision on the MetaTrader 5 platform. Learn the mathematical underpinning of the SAR calculation for both rising and falling markets, providing insights into its operational mechanics. Delve into practical strategies, including buy/sell signals and trailing stops, each tailored to leverage SAR's capabilities. Lastly, enrich your algorithmic trading skills by coding a SAR-based expert advisor using MQL5 for automated operations, elevating your MetaTrader expertise.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #Parabolic

A technical solution for financial chart analysis includes several key features. Firstly, dynamic watermarking provides real-time display of the current trading symbol and active timeframe. This feature also includes a clear description of the asset, ensuring all necessary information is visible without interfering with analysis.

Secondly, the responsive design automatically adjusts to screen resolution, repositioning centered elements as needed, and ensuring optimal readability in any MetaTrader 5 window size.

Customization is straightforward, with options to set watermark color using RGBA and adjust font size through an input parameter.

Efficiency is prioritized, with no reliance on buffers or technical plots, thereby minimizing resource consumption. The code remains modular and easy to integrate. Additionally, the tool supports full compatibility w...

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #Forex

In our latest exploration of MetaTrader 5 development, we focus on implementing a robust Zone Recovery System combined with an Envelopes-based trend-trading strategy using MQL5. This system intelligently manages trades by employing a "zone" strategy to recover from potential losses, automatically placing counter-trades when needed. By integrating Relative Strength Index and Envelopes indicators, the strategy identifies optimal entry and exit points, maintaining low risk and maximizing profitability. Designed for dynamic market conditions, this setup offers flexibility and precision for both novice and seasoned developers looking to automate and enhance their trading algorithms. Dive into the intricacies of our structured MQL5 implementation for deeper insights.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #AITrading

Open-source AI models present an opportunity to enhance algorithmic trading tools, specifically by integrating them into MQL5 Expert Advisors like the News Headline EA. This integration begins by understanding foundational AI components, setting up hardware and software environments, and utilizing tools like llama.cpp and FastAPI.

Hosting an AI model locally involves several steps: downloading the model using a Python script from Hugging Face, creating and activating a dedicated Conda environment for dependencies, and deploying a FastAPI server to serve AI insights.

Finally, the integration process involves updating the EA to incorporate AI-derived insights, involving new input parameters, HTTP request handling for text generation, and incorporating outputs into the trading workflow. This setup offers real-time AI-enhanced commentary for traders.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #AI

This script efficiently identifies the peak and trough values between specified bars on a chart. Users can set both a start and an end bar for the analysis. Initially, the program locates the candle with the maximum high within the defined range. It then extracts the highest value from this candle. The process is mirrored for finding the lowest point, identifying the candle with the minimum low and extracting its value. This approach ensures precise detection of both extremes within the specified bar range, aiding in technical analysis or further computation. Suitable for implementations where precise high and low values are necessary for decision making.

👉 Read | VPS | @mql5dev

#MQL4 #MT4 #Algorithm

Discover the transformative approach to graph generation with the Hyperbolic Latent Diffusion Model (HypDiff). This model leverages hyperbolic geometry to address key challenges in graph diffusion processes, maintaining topological integrity while efficiently handling non-Euclidean anisotropy. By employing a hyperbolic autosystem, it abstracts graph hierarchy and introduces geometric constraints to preserve essential properties. Unique implementation in MetaTrader's MQL5 extends versatility in algorithmic trading by projecting data into hyperbolic space and intelligently introducing noise via tangent planes. This innovative approach promises enhanced accuracy and computational efficiency, highlighting its practical applications for traders and developers alike.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #AI

Unions play a significant role in programming languages like C and C++, offering an efficient way to manage memory by allowing different data types to share the same location. This ability is particularly useful for optimizing memory usage, as exemplified by compact data structures in low-level programming.

The concept of unions is rooted in the notion of shared memory structures, enabling programmers to manipulate data at the byte level effectively. Through a union, various types such as integers, arrays, or larger data types can coexist, aiding in the control and manipulation of complex data without the overhead of multiple variables.

Understanding how unions work is crucial for those tackling memory-sensitive applications or system-level coding, aiding significantly in tasks like data transformation, efficient parsing, and low-level data manipulat...

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #Programming

Discover efficient algorithmic trading with an advanced multi-symbol Expert Advisor for MetaTrader 5, combining mean reversion and momentum strategies to adapt to dynamic market conditions. This system addresses the challenge of signal fatigue by implementing Z-score calculations and momentum thresholds, ensuring precise trade entries while managing risk across different currency pairs. It independently monitors each symbol, using moving averages, standard deviations, and ATR-based volatility to generate signals when market conditions are optimal. With its layered decision-making, this EA supports scalable, risk-managed strategies suitable for both scalping and swing trading, offering a robust foundation for developing adaptive trading systems.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #AlgoTrading

The Arithmetic Optimization Algorithm (AOA) leverages basic arithmetic operations for solving complex optimization challenges with a metaheuristic approach, introduced by Laith Abualigah in 2021. It employs principles like population-based strategies, randomness, and a balance between exploration and exploitation, effectively expanding search horizons to find global optima. The algorithm’s simplicity and flexibility, with minimal parameters and straightforward implementation in algorithmic trading, make it appealing for enhancement. The existing test results of AOA highlighted a 21.18% efficiency, indicating room for refinement. Modifications such as randomizing the displacement ratio and altering key equations are underway to enhance the algorithm's robustness.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Algorithm

Hyperbolic geometric spaces are essential for representing hierarchical structures in various graph learning tasks. They address structural anisotropy challenges in latent graph diffusion processes. The HypDiff framework introduces a method for generating hyperbolic Gaussian noise, tackling issues with Gaussian distributions in hyperbolic spaces. This approach applies geometric constraints based on angular similarity to preserve local graph structures.

Implementation of HypDiff in MQL5 began with OpenCL program development. Key components include data projection into hyperbolic space via hyperProjection and HyperProjectionGrad kernels. Further progress involves creating a neuronal class for hyperbolic projection, emphasizing systematic initialization and validation.

The original algorithm demanded centroid determination from training datasets, unsuitab...

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #GraphLearning

A new indicator offers a sophisticated approach by plotting multiple signals based on MACD analysis. It evaluates whether the MACD is positive or negative, assesses the crossover between the MACD main line and its signal line, and monitors the interaction between MACD and closing prices. This multiple signal plotting can assist traders in identifying potential trends and market shifts more effectively. The additional layers of analysis provide a nuanced view of the market, aiding in more informed decision-making. Stay informed with these advanced tools to enhance your market analysis strategy.

👉 Read | VPS | @mql5dev

#MQL4 #MT4 #Indicator

Explore the enhanced Zone Recovery System in MQL5: Now featuring a smart trailing stop and multi-basket mechanism for algorithmic trading. These upgrades ensure dynamic profit protection with trailing stops, while multi-basket handling optimizes trade management by tracking separate trade signals. By refining the integration of RSI and Envelopes indicators, the strategy maintains precise entries and maximizes profit opportunities, making it robust in volatile markets. Discover how to implement these enhancements in MQL5 and elevate your trading system's adaptability and efficiency—ready for real-world application and testing. Dive into a technically sound transformation of trend trading strategies with advanced customization possibilities.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #Trading

Explore how Dijkstra's algorithm, a cornerstone of graph theory, can revolutionize algorithmic trading by modeling financial markets as weighted graphs. By treating price levels as nodes and transitions as edges, this approach predicts price movement with precision. Implementing this in MetaTrader 5, traders can leverage Dijkstra’s shortest path method to forecast probable price paths, optimizing trading decisions based on minimal resistance. This method enhances market analysis, offering a systematic way to minimize risk or maximize efficiency. Dive deep into computational mathematics to unlock insights from financial time series data, transforming classic algorithms into innovative trading solutions.

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #Algorithm

The development of the replay/simulator system has reached its third phase, focusing now on integration with live trading servers. This stage involves creating tools for opening, managing, and closing market positions. These tools will be designed using MQL5 to adhere strictly to the simulation environment's constraints.

A new tool, Chart Trade, will function as an indicator, communicating with an Expert Advisor to execute trades. This setup replicates MetaTrader 5’s functionality without directly connecting to a real server, maintaining the challenge and integrity of using pure MQL5. Key updates involve the transition from using internal buffers to event-driven custom interactions for seamless execution within the simulated environment.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #Replay

Daily VWAP (Volume Weighted Average Price) is an important tool for intraday analysis in trading. Unlike traditional moving averages, VWAP incorporates trading volume, emphasizing prices with higher trading activity. This makes VWAP crucial for determining the fair value of an asset during market sessions. It calculates the daily cumulative product of price and volume divided by total volume, resetting every new trading session.

VWAP helps identify intraday fair value and indicates whether an asset is trading above or below average. This is vital for developing entry and exit strategies. Institutional traders often reference VWAP to assess market sentiment. Furthermore, VWAP confirms trends, as a strong intraday trend correlates with price movements around VWAP.

The source code features a daily reset, robust calculation using MQL5 functions, and clear ch...

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #VWAP

The Weekly VWAP (Volume Weighted Average Price) stands as a vital instrument for traders focusing on long-term market analysis. Distinguished by its integration of trade volume with price, it offers more precise insights than standard moving averages. Each new trading week begins with a refreshed VWAP calculation, thanks to its structure of dividing the cumulative product of price and volume by cumulative volume. This provides a clear indication of the week's fair value.

Strategically, traders can assess weekly sentiment and dynamics. Significant trading above the Weekly VWAP may indicate bullish conditions, whereas trading below can signal bearish trends. This assists in optimal entry and exit point determination and trend strength confirmation.

Technically, the source code leverages MQL5 for accuracy, resetting automatically each week. The output i...

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #Indicator

The Monthly VWAP (Volume Weighted Average Price) is a custom indicator designed to aid in long-term market analysis by calculating the volume-weighted average price with each new trading month. Unlike simple moving averages, it factors in trading volume, spotlighting price levels with significant trading activity and offering a reliable view of an asset's fair value over a monthly period.

Its calculation involves the cumulative sum of (Price * Volume) divided by the cumulative volume, resetting monthly to provide fresh insights. This single line on your chart identifies where most of the trading volume occurred relative to price, aiding in long-term strategic planning, confirming macro trends, and clarifying market views without short-term distractions.

Key features include automatic monthly resets, precision calculations using standard MQL5 functions, ...

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #VWAP

In the prior assessment, the combination of Ichimoku and the ADX-Wilder indicators was discussed for identifying support, resistance, and trends. Some patterns demonstrated successful forward testing; however, pattern-0, pattern-1, and pattern-5 did not meet criteria. To improve these, supervised learning is now examined to enhance signal accuracy.

The chosen model is a neural network with a Spectral Mixture Kernel as the entry layer. This approach allows dynamic adaptation for regression tasks with oscillatory data patterns, merging neural network flexibility with Gaussian Process concepts. Implementation involves PyTorch, focusing on spectral feature extraction followed by regression. Regularization and early stopping are advised to mitigate overfitting risks.

Testing included the GBP/USD pair in a 30-minute timeframe across two years. Although ...

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #Indicator

Creating Expert Advisors (EAs) requires a foundational understanding of programming concepts such as variables, functions, arrays, and core operators. EAs work similarly to indicators but demand knowledge of trade orders' structure and execution. Remember, EAs discussed here are for illustrative purposes and not for real trading. Error handling is often simplified for clarity, impacting reliability and suitability for live accounts. We will build two EAs: one without indicators using pending orders, and another using a Moving Average executing trades at market price.

An EA starts with a blank template, usually generated with the MQL5 Wizard. Advanced templates are object-oriented, split across files. Understanding object-oriented programming is crucial before customizing these templates. Optional functions provided by the wizard aid in handling various events d...

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #EA

MetaTrader 5 now integrates OpenBLAS for efficient vector and matrix operations, enabling advanced Singular Spectrum Analysis (SSA) capabilities. SSA distinguishes trends, cycles, and noise in time series without extensive assumptions, employing spectral decomposition akin to PCA. Key in MQL5, SSA provides real-time processing, valuable for forecasting and identifying dominant cycles in financial series. By reconstructing time series components, traders can filter noise effectively and enhance predictive insights. Optimal SSA application requires careful selection of window length and preprocessing adjustments, ensuring comprehensive analysis. Explore the potential of SSA to fine-tune algorithmic trading strategies through its innovative techniques.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #SSA