Show HN: My attempt to visualize 'Market Timing' risk (Python/Chart.js)

I built a simple dashboard to visualize the "Decapitation Effect" (the cost of missing the market's best N days).

The Logic: It compares a "Manual" strategy (sitting in cash during volatility) vs an "Automated" strategy (DCA). The visualization shows that missing the 10 best days (which usually happen during crashes) cuts returns by ~54%.

Request for Feedback: I'm trying to improve the visualization of the "Risk" metric. Right now, it feels a bit binary.

Does anyone have suggestions for a better way to visualize "Opportunity Cost" vs "Downside Protection" in the same chart?

Demo/Code Walkthrough: https://youtu.be/wGqOWfkMgEE Stack: Python (Pandas) for data, HTML5/Canvas for the frontend.