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The Volatility Cone: A Quant's Tool for Mapping Price Uncertainty
88% resolved. 22% stayed loyal. What went wrong?
That's the AI paradox hiding in your CX stack. Tickets close. Customers leave. And most teams don't see it coming because they're measuring the wrong things.
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Premium Members – Your Full Notebook Is Ready
The complete Google Colab notebook from today’s article (with live data, full Hidden Markov Model, interactive charts, statistics, and one-click CSV export) is waiting for you.
Preview of what you’ll get:
Inside:
📥 Auto-downloads ASML data from Yahoo Finance — change the ticker to any stock you want
📊 Volatility analysis — daily return distribution + rolling 30-day annualized volatility chart
⚙️ Monte Carlo engine — 10,000 simulated price paths using Geometric Brownian Motion
🔀 Two models side by side — Historical Volatility vs BSM Implied Volatility
📈 Confidence cone chart — 68% and 95% intervals with median and mean paths
🎯 Probability calculator — P(above threshold), P(below threshold), P(in range)
📉 Final price distribution — histogram of all 10,000 simulated outcomes with colour-coded zones
💾 Saves 3 charts as PNG files ready to download
Free readers – you already got the full breakdown and visuals in the article. Paid members – you get the actual tool.
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