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volatility-modeling

agiprolabs/clau…g-skills

Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones

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安装命令

npx skills add https://github.com/agiprolabs/claude-trading-skills --skill volatility-modeling

SKILL.md

Volatility Modeling

Volatility — the magnitude of price fluctuations — is arguably the single most important quantity in trading. It drives position sizing, stop placement, option pricing, and regime detection. This skill covers estimation, forecasting, and practical application of volatility in crypto markets.

Why Volatility Matters

Use Case How Volatility Is Used
Position sizing Scale position inversely with vol so each trade risks a consistent dollar amount
Stop placement ATR-based stops widen in high-vol regimes, tighten in low-vol
Strategy selection Mean-reversion works in low vol; momentum works in high vol
Risk budgeting Vol-target portfolios maintain constant portfolio-level risk
Regime detection Vol regime shifts signal changing market dynamics
Option pricing Implied vs realized vol gap creates trading opportunities

Types of Volatility