The comprehensive trading system incorporates quantum computing principles, utilizing quantum states and probabilities for decision-making. The AI modules integrate multiple indicators—RSI, ADX, MA, ATR—with adaptive weighting, enhancing decision accuracy. Robust risk management is emphasized through deposit protection and strict control of drawdown, position size, and daily loss limits. The Quantum Trailing Stop provides a dynamic stop-loss mechanism, adjusting to the prevailing market conditions.

Automatic optimization streamlines parameter adjustments in the strategy tester, with specific configurations tailored for trading gold and silver, accounting for their distinct volatility characteristics. Protective mechanisms include a minimum deposit check, trade limits on loss exceedance, and risk reduction following a loss streak. Micro-account users benefit ...

👉 Read | Docs | @mql5dev

#MQL5 #MT5 #AI

The article explores the concept of refining Fibonacci retracement levels by utilizing a systematic, data-driven approach. Traditional levels, often used by traders, may overlook non-standard but frequently occurring retracement points. The study employs historical OHLCV data and statistical filtering to identify these "hidden" levels, enhancing existing trading strategies. Using a two-stage process, the research gathers extensive market data and applies statistical methods to isolate consistent intermediate levels not captured by traditional ratios. A custom data collection script in MQL5 processes large datasets, aiming to improve signal quality. Python and Jupyter Notebook are utilized for further statistical analysis, offering robust insights into market behaviors.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Fibonacci

Unlock sophisticated asset prediction with Multitask-Stockformer, a cutting-edge framework leveraging deep learning for stock forecasting. Combining wavelet transforms with self-attention networks, this model captures both high-frequency market fluctuations and long-term trends. By decomposing historical data into distinct components, it accurately forecasts returns using dual-frequency encoders and decoders. Ideal for traders and developers, it employs graph attention networks to map complex market relationships, ensuring refined trading strategies. The seamless integration with MQL5 underlines its practical applicability in algorithmic trading environments. Whether you're refining multifactor strategies or venturing into deep learning, Multitask-Stockformer represents a significant technical advancement.

👉 Read | VPS | @mql5dev

#MQL5 #MT5 #Finance

ETARE presents a modern approach to algorithmic trading by integrating genetic optimization, machine learning, and advanced risk management. This system continually adapts to market conditions through an innovative trading loop, periodically refining strategies every 50 trades. Each trading instrument receives individual analysis based on recent data, ensuring precise position management. The strategies employ a descending volume approach to manage risk and maximize profits. A comprehensive trading decisions database ensures continuous learning, allowing the system to optimize for future trades. Through rigorous testing, ETARE has demonstrated adaptability across various market conditions, embodying a resilient and evolving trading system.

👉 Read | NeuroBook | @mql5dev

#MQL5 #MT5 #AITrading

The default moving average indicator on popular trading platforms doesn't provide alerts for crossovers, leading traders to potentially miss significant market movements. CrossFire Alert addresses this gap effectively. This advanced moving average crossover tool ensures instant notifications through various channels—on-screen, email, or push notifications—whenever two moving averages intersect. Users have the flexibility to display two customizable MAs and select among Simple, Exponential, Smoothed, or Weighted types. Additionally, traders can modify period, shift, colors, and how signals appear on the chart. CrossFire Alert not only identifies new market trends and reversals in real-time but also supports strategies in both trending and reversing markets. By providing timely alerts, it eliminates the need for constant chart monitoring, facilitating a m...

👉 Read | Freelance | @mql5dev

#MQL4 #MT4 #Indicator

This RSI indicator offers key features for efficient market analysis. Customizable RSI levels allow setting specific thresholds with 75 as the default for overbought conditions and 25 for oversold. Multi-timeframe support is versatile, ranging from M1 to MN1, providing flexibility for various trading strategies. The dual alert system enhances monitoring by offering pop-up alerts and push notifications directly to your MT5 mobile app, ensuring timely updates. Designed for performance, it operates without hogging resources and focuses solely on the chart symbol. Running silently in the background ensures no interference with your charting activities. Configure parameters such as TimeFrame (default M15), RSI_HIGH, and RSI_LOW levels to suit your strategy. The alert system aids in identifying potential reversal zones, enhancing trade decision-making.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #Indicator

The Simple_Grid Expert Advisor is a straightforward tool designed to manage a grid of pending orders around the current market price. The system configures either stop or limit orders in both directions, determined by the input parameters. Notably, it operates without a Stop Loss. Between 23:30 and 4:00, non-activated pending orders are removed, with a new grid established after 4:00.

Key adjustable parameters include the grid step size, initial distance from the current price, the quantity of orders per direction, and the type of pending orders (stop or limit). Users can also set the expected profit level (Take Profit), fixed lot size, and the Expert Advisor's magic number. This tool was developed for educational purposes in MQL5 and is unsuitable for real account trading or profit generation, now available for placement in CodeBase.

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #EA

MetaQuotes has once again demonstrated its leadership in creating innovative solutions for the financial industry. At the Forex Expo Dubai 2025, held on October 6–7, the company received two prestigious awards:

• MetaTrader 5 was named 'Best Multi-Asset Trading Platform Including Web and Mobile'.
• www.mql5.com was awarded 'Best Educational Tools Portal' for its continuously growing knowledge base: 60 new articles each month, trading applications, signals, and much more.

We are grateful to our clients and all traders for their continued trust – the driving force behind our commitment to developing advanced trading technologies.

Read more...

Presenting a newly developed experimental indicator, designed with volatility awareness in mind. Unlike the traditional Donchian Channel, this indicator incorporates the Average True Range (ATR) values at indices where extreme highs and lows occur. This integration aims to create channel lines that serve as a closer representation of price movement extremes. Notably, the result is channel lines expected to remain untouched by price candles, making them potential candidates for tight stop-loss placements. The green line could be considered for tight stop loss in buy scenarios, while the red line may serve a similar purpose in sell scenarios. It is crucial to note that this tool should not be used in isolation when making trading decisions, given the dynamic nature of qualitative price contexts.

👉 Read | Docs | @mql5dev

#MQL5 #MT5 #Indicator

For traders and developers looking to refine their strategies with adaptable, data-driven insights, the integration of Deep Q Networks (DQNs) with the TRIX and Williams Percent Range (WPR) indicators offers a promising approach. This combination bypasses static trading rules by incorporating reinforcement learning to dynamically adjust decision thresholds, thereby enhancing long-term profitability. Our article delves into the practical implementation of DQNs, explaining how these networks, trained on historical data, transform technical indicator signals into actionable insights. This method not only optimizes trading strategies through adaptability and foresight but also highlights challenges and solutions in deploying reinforcement learning models on platforms like MetaTrader 5.

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #atsignal

The study presents significant insights into trading systems using random win-rate management and Monte Carlo simulation. Traders often exit trades at random profit levels, affecting the overall profitability due to variable win-rates and RRRs.

Monte Carlo simulation effectively models random trade outcomes, illustrating how different RRRs impact equity curves and drawdowns. The analysis emphasizes the importance of expectancy in assessing system profitability, showing that a positive expectancy leads to overall gains, while a negative expectancy results in losses.

Visual inspections and analyses highlight that higher win-rate strategies, although potentially profitable, often carry higher drawdowns. Effective strategy optimization requires managing win-rates and RRRs to sustain long-term profitability.

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #Strategy

The Multitask-Stockformer framework is detailed in a multi-part analysis of its theoretical and practical aspects, focusing on MQL5 implementation. It integrates discrete wavelet transformation for time series analysis with multitask self-attention models to capture complex financial data dependencies. The framework consists of three core modules: time series decomposition, a dual-frequency spatio-temporal encoder, and a dual-frequency fusion decoder. Each module enhances the analysis and prediction accuracy by focusing on different frequency components. The system is designed to handle diverse market conditions effectively, providing trend analysis, anomaly detection, and dynamic market adaptability. Implementation efforts continue with key system components optimized for time series analysis.

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #TimeSeries

Explore the innovative Time Evolution Travel Algorithm (TETA) designed for optimization without relying on parameters or constants. Mimicking the journey through parallel universes, TETA refines anchors—key decision points—creating a unique self-balancing mechanism. This algorithm excels in locating promising solutions quickly and fine-tuning them across various test scenarios, including the complex GoldsteinPrice functions. Striking a balance between high-impact changes and stability, TETA ranks among the top optimization tools. Suitable for traders and developers alike, TETA offers a fresh perspective on problem-solving, simulating balance in dynamic, multi-dimensional systems.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #Algorithm

A dual display system offers precise calculations of price changes, detailing both in pips below the candle and as a percentage above the candle. Two distinct measurement modes are available: the default Close-to-Close mode, which assesses the volatility between the closing prices of consecutive candles, and the Close-to-Open option, designed to analyze the same candle's body size by comparing its close and open prices.

This tool allows for flexible customization, offering the option to modify colors indicative of gains or losses and the ability to set a PipsLimit to ignore minor price changes. Performance is enhanced through a MaxBars setting, enabling users to define the number of historical bars processed, ensuring optimal efficiency.

Input parameters include CloseToClose for previous vs. current candle analysis, PipsLimit for filtering minimal...

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #Indicator

In our previous technical development updates, we integrated an advanced ChatGPT module into MetaTrader 5 using MQL5, enhancing the user interface with scrollable chat and timestamp features. This time, our focus shifts to overcoming multiline input limitations and ensuring efficient chat history storage using AES256 encryption and ZIP compression.

Implementation involves refining multiline text rendering, integrating a sidebar for navigating preserved chat histories, and leveraging AI for real-time trade signal generation. We've modularized our MQL5 code and enhanced the bitmap handling, ensuring a seamless integration of UI elements like scalable icons and images.

Additionally, we improved prompt handling to accept multiline inputs effectively, using logic to append or create new paragraphs based on user input. This is crucial for detailed market queri...

👉 Read | Signals | @mql5dev

#MQL5 #MT5 #AITrading

The Volume-Weighted Moving Average (VWMA) is gaining traction as a crucial tool for traders, providing an edge by integrating trading volume into price analysis for trend verification. Unlike traditional moving averages like SMA and EMA, the VWMA assigns more significance to price movements with substantial trading volume, capturing genuine market momentum.

For algorithmic trading, VWMA's practical application offers enhanced trend confirmation by focusing on significant volume-backed price changes. The MQL5 implementation of VWMA crossovers involves using both a fast and slow VWMA to identify bullish and bearish market conditions. These signals help in constructing Expert Advisors (EAs) that streamline trade execution, monitor market conditions, and generate actionable alerts. Such advancements bolster traders' capability to differentiate between meaningfu...

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #Trading

The article provides a comprehensive guide for MetaTrader developers to publish their programs on CodeBase efficiently. It covers essential guidelines for preparing the code, including formatting, commenting key logic decisions, and creating concise descriptions. Specific steps for uploading various types of programs, such as scripts, indicators, and services, are detailed with focus on a structured directory organization using MQL5 pathways. The guide emphasizes the importance of attaching explanatory images and undergoing code validation to ensure professional standards. This resource aids developers in showcasing their work, offering valuable contributions to the trading community while maintaining high-quality, accessible code publishing practices.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #EA

The indicator utilizes two standard deviations to compute a ratio, primarily highlighting areas of high activity rather than indicating price direction. To effectively use this tool, it should be paired with other indicators or price action analysis. Signal potential arises when the indicator crosses the threshold line, signaling changes in slope direction. Specifically, signals occur when the indicator crosses the line upwards or downwards. Additionally, when it falls below the threshold, it could suggest a trending market. Consider this indicator as a supplementary tool within a broader technical analysis strategy for more comprehensive market insights.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #Indicator

In the ongoing development of our market simulation system, key challenges arise from ensuring system security, reliability, and performance. An essential step in this process is to address information leakage through proper encapsulation. Within the C_Mouse class, we identified a flaw in the SetBuffer function's accessibility, which was rectified by relocating it, thereby enhancing system integrity.

Further, system performance issues became apparent during extensive feature use, traced back primarily to the mouse indicator's intensive buffer reading. This was mitigated by isolating buffer accesses and optimizing class variable storage versus repetitive function calls.

The system's updated architecture now reflects a more robust class hierarchy aimed at maintaining performance levels while allowing for scalability and adaptability in future developme...

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #AlgoTrading

Smart Money Concepts (SMC) trading leverages orderblocks as vital zones of institutional trading. Notably, when these zones are breached, they morph into mitigation blocks, offering unique insights into price retracements and market behavior. The article dives into implementing an Expert Advisor (EA) in MetaTrader 5 to intelligently identify and utilize these orderblock transformations. Key elements include leveraging libraries for efficient data handling, clear graphical representations for orderblock status, and robust trade management. With adaptive logic for real-time market shifts, this EA ensures precise entry points and risk control, promising advanced tools for traders and developers exploring algorithmic solutions in volatile markets.

👉 Read | AlgoBook | @mql5dev

#MQL5 #MT5 #SMC