option-vol-analysis

Compare implied volatility surfaces with historical realized volatility for derivatives.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/smrik/ai-fund --skill option-vol-analysis-smrik
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: option-vol-analysis
Source: https://github.com/smrik/ai-fund/tree/main/skills/partner-built/lseg/skills/option-vol-analysis
Command: npx skills add https://github.com/smrik/ai-fund --skill option-vol-analysis-smrik

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the complexity of assessing whether option premiums are expensive or cheap by automating the comparison between market-implied volatility and historical realized volatility.

Core Features & Use Cases

  • Volatility Surface Analysis: Visualize and interpret implied volatility across strikes and expiries to identify market sentiment.
  • Greeks Calculation: Compute precise option sensitivities including delta, gamma, vega, and theta for risk management.
  • Implied vs Realized Comparison: Quantitatively determine if options are rich or cheap by comparing implied volatility against historical realized volatility windows.

Quick Start

Use the option-vol-analysis skill to evaluate the current volatility surface and pricing for SPX options to determine if they are currently rich or cheap relative to historical realized volatility.

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 vs realized volatility to see if options are rich or cheap?

To compare implied volatility vs realized volatility, you analyze the current option volatility surface alongside historical price-based metrics. This process quantitatively determines whether option premiums are currently expensive or cheap relative to historical market movements.

What is an option volatility surface and how does it identify market sentiment?

An option volatility surface visualizes implied volatility across various strikes and expiries. By analyzing the shape and shifts of this surface, you can interpret pricing anomalies and identify underlying market sentiment regarding future price movements.

How do I calculate option Greeks like delta, gamma, vega, and theta for risk management?

You calculate option Greeks like delta, gamma, vega, and theta by integrating current implied volatility data with pricing models. Computing these precise option sensitivities provides the quantitative foundation required for effective derivatives risk management.

Can I evaluate SPX options pricing using historical realized volatility windows?

Yes, you can evaluate SPX options pricing by comparing current implied volatility against historical realized volatility windows. This analysis requires equity volatility surface tools and historical pricing data to determine if current premiums are rich or cheap.

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

Derivatives volatility analysis supports both equity and FX options workflows. Generating comprehensive risk assessments requires access to both equity and FX volatility surface tools integrated with historical pricing data providers.