Volatility Modeling

FreeMITAGIPro Labs

Model volatility using GARCH, EWMA, and realized volatility methods with cone construction.

⚠️
Finance AI Skills are instruction files for AI agents. They do not constitute financial, legal, tax, or investment advice. Always verify AI-generated outputs with a qualified professional before acting on them. Finatune is not responsible for outcomes resulting from use of these skill files.

This skill models volatility using GARCH, EWMA, and realized volatility methods with volatility cone construction. It forecasts future volatility for options pricing and risk management. Designed for options traders, quantitative risk managers, and financial engineers. From the AGIPro Labs claude-trading-skills collection. For educational and productivity use only. Always verify AI-generated outputs with a qualified professional before acting on them.

Compatible Agents

Claude CodeCursorCodexGemini CLI

Use Cases

  • βœ“Model historical and implied volatility
  • βœ“Build GARCH and EWMA volatility models
  • βœ“Calculate realized volatility and volatility cones
  • βœ“Forecast future volatility for options pricing

Trigger Phrases

β€œModel volatilityβ€β€œGARCH volatility modelβ€β€œCalculate realized volatilityβ€β€œVolatility cone analysis”

How to Install

Copy the skill content, paste it into your AI agent's system prompt or project instructions, then describe your task.

View Source

Requirements

  • Claude Code or Cursor
  • Python 3.9+ with uv
  • Historical price data

Technical Details

License

MIT

Price

Free

Install Method

git-clone

Last Updated

2026-07-15

Status

active

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