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

Elevate your MetaTrader 5 trading experience with the Market Periods Synchronizer Indicator—an innovative tool for traders and developers seeking detailed market insights. This custom MQL5 indicator provides full customization of vertical period markers, aligning higher-timeframe boundaries within lower-timeframe charts. Explore intra-period price action with clarity, and analyze how smaller candles form larger structures. Key features include customizable marker intervals, color schemes, and performance optimization. The indicator supports major and minor timeframes, highlighting price action beyond candle bodies for a comprehensive view of market dynamics. An indispensable resource for algorithmic traders seeking a nuanced understanding of market behavior.

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Indicator

The previous discussion introduced the 5-0 Harmonic Pattern in MQL5, moving beyond the common Gartley pattern. This entry will cover the identification of points C and D to finalize the 5-0 structure. Recognizing the 5-0 pattern involves detecting specific points on a price chart programmatically—0, X, A, and B have been identified, and now points C and D need to be established.

For point C, check for a rally that follows B, aiming for a Fibonacci extension between 161.8% and 224% of the AB leg. This corrective action often highlights a strong market reaction, offering clues for the eventual completion of the structure.

Finally, identify point D as it forms a retracement from C, typically between 50% and 55% of the BC leg. This zone represents potential trading opportunities. The program should connect the detection logic with trade execution to visually ve...

👉 Read | AppStore | @mql5dev

#MQL5 #MT5 #Strategy

The transition to MQL5 Algo Forge emphasizes leveraging community-contributed code. A crucial step involves integrating third-party libraries while ensuring code remains modifiable through personal forks. In Part 3, SmartATR was integrated into the SimpleCandles Expert Advisor, highlighting challenges in direct cloning. A structured workflow using forks resolved these issues, with changes proposed to original repositories via Pull Requests.

Publishing modifications involves committing or releasing new versions. For efficient version control, obsolete branches should be managed to prevent repository clutter. A branch is essentially a sequence of commits, which remain intact post-deletion. Locating prior branch states involves identifying specific commits and understanding Git concepts like tags and the HEAD pointer. Tags, especially lightweight ones, ...

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #AlgoTrading

The described Expert Advisor employs a specific approach combining a Martingale strategy with initial breakout/range-reversal entries. Key parameters allow traders to adjust and control the execution logic of EAs, such as trade directions, lot sizes, and trading schedule.

General parameters define unique trade identifiers, initial lot sizes, and allow the configuration of buy/sell capabilities, take profits, and order reset conditions. The Martingale strategy section specifies reverse Martingale logic, lot multipliers, profit targets, pip distances, and trade limits within a series.

The EA's core functions initiate and manage trades. Initialization (OnInit) arrays ensure readiness, while deinitialization (OnDeinit) handles clean-ups. Trading permissions hinge on specified dates and weekdays. Market execution processes validate trade parameters, uphold ma...

👉 Read | Calendar | @mql5dev

#MQL5 #MT5 #EA

Unravel the potential of Bollinger Bands in trading with expert insights on its construction and strategic applications. The Bollinger Bands indicator, created by John Bollinger, offers a dynamic approach to trading, adjusting itself with the volatility of market conditions. Unlike fixed-percentage methods, it uses a standard deviation of a moving average, expanding or contracting based on market fluctuations. Discover practical strategies for uptrends, downtrends, and sideways markets, enhancing entry and exit precision. Furthermore, learn how to design an algorithmic trading system using MQL5 in MetaTrader 5, elevating your trading efficiency with automation and refined decision-making processes.

👉 Read | Forum | @mql5dev

#MQL5 #MT5 #Bollinger

The discussed stochastic indicator functions similarly to the built-in version, utilizing high and low prices when default settings are used. However, it offers an alternative by allowing the use of extended, non-standard prices, offering flexibility in analysis. When comparing it to the regular stochastic, it remains consistent in terms of recommendations and application. Users can treat this indicator as any other stochastic, utilizing color changes to identify overbought and oversold signals. This tool provides an additional layer of customization for those seeking to enhance their technical analysis strategies.

👉 Read | CodeBase | @mql5dev

#MQL5 #MT5 #Indicator

Dive into advanced techniques for improving MetaTrader 5 libraries with this insightful article focusing on graphical object events. Discover how you can define precise changes in properties and track the history of modifications, enabling enhanced analytical tools with memory capabilities. Learn about handling complex scenarios, such as multiple object additions and chart-linked object restoration. Benefit from structured methods for capturing object renaming sequences and managing removed graphical objects efficiently. Perfect for developers seeking to refine trading tools, this article offers detailed, practical approaches for leveraging the full power of MQL5's dynamic arrays and chart management classes.

👉 Read | Freelance | @mql5dev

#MQL5 #MT5 #AlgoTrading

The Ichimoku Edge strategy provides a technical approach using the standard Ichimoku Kinko Hyo indicator with default parameters. It generates trading signals based on the Chikou Span crossing the price line, with confirmation from price and Chikou Span positions relative to the Kumo. Buy signals are validated when both the current price and Chikou Span are positioned above the Kumo, while Sell signals are verified when both are below. This approach relies on signal reversals for trade exits rather than fixed Stop Loss or Take Profit limits.

Two position-sizing methods are incorporated: Fixed lot size for predefined trading volume, and ATR-based sizing which adjusts according to risk percentages using the Average True Range. Key settings include Tenkan (9), Kijun (26), and Senkou (52). Additional configuration options include risk management preferenc...

👉 Read | Freelance | @mql5dev

#MQL4 #MT4 #Indicator

Machine learning algorithms in trading strategies present specific challenges. Address issues like model architecture, algorithm selection, and loss functions carefully. Time series cross-validation is crucial for evaluating model performance, ensuring data integrity, and preventing overfitting. It manages bias-variance trade-offs, allowing for more reliable models.

Historical data fetching can be enhanced using custom scripts in environments like MQL5. After data preparation, leveraging libraries such as Pandas and Matplotlib facilitates comprehensive analysis. Structured validation processes improve model performance even with constrained data sets.

Extending models to ONNX protocol enables cross-platform deployment. Conversion includes defining input-output shapes and saving as .onnx files. System resource management optimizes performance during tradi...

👉 Read | Quotes | @mql5dev

#MQL5 #MT5 #ML