option-vol-analysis

Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data.

34.1k|5.1k|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/anthropics/financial-services-plugins --skill option-vol-analysis
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Skill: option-vol-analysis
Source: https://github.com/anthropics/financial-services-plugins/tree/main/partner-built/lseg/skills/option-vol-analysis
Command: npx skills add https://github.com/anthropics/financial-services-plugins --skill option-vol-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps users analyze option volatility by integrating vol surface data, option pricing with Greeks, and historical price data to assess implied versus realized volatility.

Core Features & Use Cases

  • Volatility Surface Analysis: Understand market expectations of future volatility across different strikes and expiries.
  • Option Pricing & Greeks: Calculate precise option prices and their associated Greeks (delta, gamma, vega, theta, rho).
  • Implied vs. Realized Volatility: Compare the market's implied volatility with historical realized volatility to identify vol premiums.
  • Strategy Recommendation: Provide insights into the volatility regime and suggest trading strategies based on vol premiums and surface shape.

Quick Start

Use the option-vol-analysis skill to analyze the volatility surface for AAPL options.

Frequently Asked Questions about option-vol-analysis

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

FAQPage Schema
How do I analyze implied versus realized volatility for options trading?

To analyze implied versus realized volatility, you need to compare current option vol surface data against historical price data. This process identifies volatility premiums to help evaluate whether options are currently overpriced or underpriced in the market.

Can I compute option Greeks like delta and vega for a specific equity volatility surface?

Yes, you can compute option Greeks like delta, gamma, vega, theta, and rho by integrating option pricing models with equity volatility surface data. This provides precise risk metrics necessary for assessing sensitivity across different strikes and expiries.

What is the best way to assess volatility regimes for trading strategies?

The best way to assess volatility regimes is by evaluating the shape of the volatility surface alongside vol premiums. Comparing implied market expectations with historical realized volatility reveals regime shifts, allowing you to select appropriate option trading strategies.

Do I need historical price data to evaluate an FX volatility surface?

Yes, historical price data is required to evaluate an FX volatility surface. Accessing historical pricing summaries alongside vol surface data allows you to calculate realized volatility, which is essential for measuring the current implied volatility premium accurately.

How does volatility surface analysis help with option pricing?

Volatility surface analysis maps market expectations of future volatility across different strikes and expiries. Integrating this surface data with option pricing models yields accurate valuations and identifies mispriced options based on the current volatility environment.