option-vol-analysis

Compare implied volatility surfaces to realized volatility for rich/cheap signals.

1|Updated May 16, 2026
One-click install
npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill option-vol-analysis-executiveusa
Or copy as Structured Prompt for Agent
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Skill: option-vol-analysis
Source: https://github.com/executiveusa/Cheggie-trade-V2/tree/main/core/financial-skills/plugins/partner-built/lseg/skills/option-vol-analysis
Command: npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill option-vol-analysis-executiveusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of determining whether an option’s implied volatility is cheap or expensive by comparing the market-implied volatility surface to realized volatility from historical prices.

Core Features & Use Cases

  • Volatility surface snapshot & shape analysis: Builds a term structure view of ATM volatility plus skew (risk reversal) and smile curvature (butterflies) from the appropriate implied vol surface.
  • Greeks-aware option pricing: Prices specific options to obtain premium and sensitivities (delta, gamma, vega, theta, rho) consistent with the surface-derived implied volatility.
  • Implied-vs-realized regime assessment: Computes realized vol across multiple lookback windows from historical data and compares it to matching implied tenors to produce a rich/cheap signal and strategy guidance.
  • Use Case: If you’re considering selling or buying options around a macro event, you can assess whether implied volatility is elevated relative to what has recently been realized and choose a volatility-driven trade with the key sensitivities understood.

Quick Start

Use option-vol-analysis to assess the implied-vs-realized volatility premium for a targeted underlying by first pulling the vol surface, then pricing the selected options with Greeks, and finally comparing against realized volatility computed from historical price history.

Frequently Asked Questions about option-vol-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare implied volatility to realized volatility for options?

Compare implied volatility to realized volatility by extracting the implied vol surface and historical price data, then computing realized vol across multiple lookback windows to generate a rich or cheap signal. This process evaluates whether option premiums are overpriced or underpriced.

What is volatility surface analysis and how does it diagnose option pricing?

Volatility surface analysis evaluates ATM term structure, skew, and smile curvature to diagnose option pricing dynamics. It breaks down the implied volatility shape across strikes and expirations to identify mispriced options and inform derivatives strategy.

How do I calculate option Greeks and premium using an implied volatility surface?

Calculate option Greeks and premium by pricing selected options using the volatility surface-derived implied volatility. This yields delta, gamma, vega, theta, and rho sensitivities consistent with the current market surface.

Can I assess volatility regime shifts before a macro event using historical prices?

Assess volatility regime shifts by computing realized volatility from historical OHLC price history across defined windows and comparing it to matching implied tenors. This reveals if implied volatility is elevated relative to recent realized movements.

When should I use an implied vs realized volatility comparison for strategy selection?

Use an implied vs realized volatility comparison for strategy selection when deciding to buy or sell options around macro events. It identifies the volatility premium and outputs recommended actions with key Greeks sensitivities understood.

Does option volatility analysis work for both equity and FX derivatives?

Option volatility analysis applies to both equity and FX derivatives by chaining implied vol surface retrieval, option pricing, and historical price extraction. It supports vol surface diagnostics across multiple asset classes and horizons.