Discussing the article: "MQL5 Trading Tools (Part 12): Enhancing the Correlation Matrix Dashboard with Interactivity"
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Check out the new article: MQL5 Trading Tools (Part 12): Enhancing the Correlation Matrix Dashboard with Interactivity.
In this article, we enhance the correlation matrix dashboard in MQL5 with interactive features like panel dragging, minimizing/maximizing, hover effects on buttons and timeframes, and mouse event handling for improved user experience. We add sorting of symbols by average correlation strength in ascending/descending modes, toggle between correlation and p-value views, and incorporate light/dark theme switching with dynamic color updates.
The interactive correlation matrix enhancements build on the base dashboard by introducing user-friendly features that allow for dynamic manipulation and customization, making it more practical for us to analyze asset relationships in real time without disrupting workflow. Key additions include mouse event handling for panel dragging to reposition the dashboard on the chart, minimizing/maximizing to toggle between a compact header view and full display, hover effects on buttons and timeframe cells for visual feedback, such as color changes, and click responses to switch modes or views.
We also incorporate sorting symbols by average absolute correlation strength in original, descending, or ascending orders to group highly correlated assets, toggling between correlation and p-value displays for deeper statistical insights, light/dark theme switching to adapt to user preferences with adjusted colors, and tooltips on cells providing details like symbols, timeframe, method, correlation, p-value, and bars used.
We plan to extend the inputs and enumerations for new modes like view toggling, add globals for interaction states, modify parsing to store original symbols, implement sorting logic based on average strengths with index reordering, update creation and position functions to support minimization and dragging, adjust colors dynamically in theme toggles, enhance dashboard updates for p-value views and tooltips, and handle all interactions in an event handler for seamless usability. In brief, here is a visual representation of our objectives.
Author: Allan Munene Mutiiria