alphagbm-iv-rank
CommunityIV rank & percentile insights for options.
Data & Analytics#historical-data#options-trading#implied-volatility#volatility-analysis#iv-rank#iv-percentile#iv-zones
AuthorAlphaGBM
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Current IV levels are noisy and difficult to interpret in isolation. This skill computes IV Rank and IV Percentile to place current IV in the context of its 252-day history, helping users decide when IV is high or low and how to time volatility trades.
Core Features & Use Cases
- IV Rank and IV Percentile calculations with historical context.
- IV history data, HV/IV relationships, and zone-based trading signals to guide premium decisions.
- Use Case: Evaluate whether to buy or sell premium by comparing current IV to its historical range and acting on IV zones.
Quick Start
Ask your AI to compute the current IV rank and percentile for a ticker and generate the IV history and zone-based trading signals.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: alphagbm-iv-rank Download link: https://github.com/AlphaGBM/skills/archive/main.zip#alphagbm-iv-rank Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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