The discussed tool offers a comprehensive statistical overview for traders, highlighting both daily and all-time metrics. It provides key features such as viewing statistics over the past 7 days with customizable settings and a cumulative summary of trading histories. Real-time updates automatically refresh data during trading activities, ensuring up-to-date information. The tool employs a color-coded system for quick identification of profit or loss days, enhancing readability with a modern flat UI that supports color customization. Numerical data is displayed in a professional format, with commas aiding clarity.

The tool tracks various metrics, including total lots traded, order count, and net profit or loss, comprehensively covering swaps and commissions. Each trading day is logged in the YYYY.MM.DD format, alongside pertinent details such as t...

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Refinement and Testing in Table Models:

Development of table models advances with refining methods to manage columns more efficiently. New initialization methods include creating models from arrays, matrices, and linked lists, enhancing adaptability for various data scenarios. Transferring classes to separate include files allows for better organization and modularity. Enhancements to CListObj facilitate new object types, providing robust functionality across different data forms. The CMqlParamObj class aids in versatile data handling, accommodating multiple data types and properties seamlessly. These improvements underpin a universal model architecture, paving the way for adaptable, task-specific data representation.

Table Header and Class Structure:

The table header class facilitates dynamic column management, linking headers with column numbe...

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Enhancing black-box models for trading strategy selection presents complex challenges. Traditional metrics like RMSE often mislead due to sensitivity to scale and lack of comparability across regression targets. Mutual Information (MI) offers a more robust alternative. Its nonparametric nature and unitless measurement provide a consistent comparison across targets, helping identify the most informative strategies.

Empirical results demonstrate MI's superiority. Models predicting changes in the Stochastic oscillator show marked improvements, reflecting market width better than others. Visual analysis through scatterplots and bar plots further validate these findings, reinforcing MI's reliability.

In application, a neural network model, backed by ONNX, enables real-time strategy execution in MQL5, leveraging newfound insights for improved decision-ma...

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Delve into the world of Kagi charts, an insightful Japanese innovation, now being translated into a cutting-edge algorithmic trading system using MQL5. Unlike traditional charts, Kagi charts highlight real market trends by altering direction based on price movement, rather than time, minimizing noise for clearer trend analysis. This two-part series provides a comprehensive guide: Part One introduces crafting a live, responsive Kagi chart utilizing MQL5's graphical capabilities for precise market insights, while Part Two expands to automated trading. Harness this method for superior market trend visualization and robust trading strategies, benefiting both developers and traders in enhancing their algorithmic trading frameworks.

👉 Read | VPS | @mql5dev

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