Agent SkillsAlphaGBM/skills › alphagbm-vol-smile

alphagbm-vol-smile

GitHub

分析单到期日标的的2D波动率微笑与偏斜,映射IV揭示看跌/看涨偏斜及形态。返回曲线数据、25-delta偏斜、风险逆转及形态分类,辅助判断市场恐惧方向与交易机会。

skills/alphagbm-vol-smile/SKILL.md AlphaGBM/skills

Trigger Scenarios

vol smile AAPL skew analysis NVDA put skew for TSLA is the smile steep for SPY volatility skew META smile shape for GOOGL

Install

npx skills add AlphaGBM/skills --skill alphagbm-vol-smile -g -y
More Options

Use without installing

npx skills use AlphaGBM/skills@alphagbm-vol-smile

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-vol-smile -a claude-code -g -y

安装 repo 全部 skill

npx skills add AlphaGBM/skills --all -g -y

预览 repo 内 skill

npx skills add AlphaGBM/skills --list

SKILL.md

Frontmatter
{
    "name": "alphagbm-vol-smile",
    "globs": [
        "mock-data\/*.json"
    ],
    "description": "2D volatility smile and skew analysis for a single expiration date. Maps IV across strikes to reveal put skew, call skew, and smile shape. Returns smile curve data, skew metrics (25-delta skew, risk reversal), and shape classification. Use when: analyzing put\/call skew, checking if puts are expensive, understanding directional fear in options pricing, finding skew trades. Triggers on: \"vol smile AAPL\", \"skew analysis NVDA\", \"put skew for TSLA\", \"is the smile steep for SPY\", \"volatility skew META\", \"smile shape for GOOGL\".\n"
}

AlphaGBM Volatility Smile

Prerequisites

  • API Key: Set env ALPHAGBM_API_KEY (format agbm_xxxx...).
  • Base URL: Default https://alphagbm.zeabur.app. Override with env ALPHAGBM_BASE_URL.

What This Skill Does

Analyzes the volatility smile (or skew) for a single expiration -- the curve of implied volatility plotted against strike prices. Reveals how the market prices tail risk, directional fear, and supply/demand imbalances across the options chain.

Key Outputs

Output What It Shows
Smile Curve IV at each strike for the selected expiry -- the raw smile data
25-Delta Skew IV(25d put) - IV(25d call) -- the standard measure of directional skew
Risk Reversal Price of 25d call minus 25d put -- a tradeable expression of skew
Smile Shape Classification: normal, flat, reverse, winged, or smirk
Skew Percentile Current skew vs. 252-day history -- is skew unusually steep or flat?

What Smile Shape Means for Trading

Shape Description Market Implication Trade Ideas
Normal OTM puts have higher IV than OTM calls Standard hedging demand -- puts are expensive Sell put spreads, buy call spreads
Flat IV roughly equal across strikes Low fear, balanced positioning Neutral strategies (iron condors)
Reverse OTM calls have higher IV than OTM puts Upside speculation or short squeeze risk Sell call spreads if overpriced
Winged Both OTM puts and calls elevated Expecting a large move, direction unknown Sell straddles/strangles if IV is high
Smirk Asymmetric -- one side significantly steeper Directional fear concentrated on one side Trade the steep side if skew is extreme

API Endpoint

Volatility Smile

GET /api/options/tools/vol-smile/<SYMBOL>?expiry=2026-04-17

Query parameters:

  • expiry (optional): Expiration date in YYYY-MM-DD format. Defaults to nearest monthly expiry if omitted.

Returns the smile curve (strikes, IVs, deltas), skew metrics, shape classification, and skew percentile for the specified expiration.

How to Use

Input

  • Required: Ticker symbol
  • Optional: Expiration date (defaults to nearest monthly), moneyness range

Output Structure

{
  "ticker": "AAPL",
  "price": 218.45,
  "expiry": "2026-04-18",
  "dte": 20,
  "smile": {
    "strikes": [190, 195, 200, 205, 210, 215, 220, 225, 230, 235, 240],
    "ivs":    [42.1, 39.5, 36.8, 34.0, 31.5, 29.2, 27.5, 28.8, 30.5, 32.8, 35.2],
    "deltas": [-0.10, -0.15, -0.22, -0.30, -0.40, -0.48, 0.52, 0.42, 0.32, 0.22, 0.14]
  },
  "skew_metrics": {
    "skew_25d": -8.3,
    "risk_reversal_25d": -2.45,
    "skew_10d": -14.6,
    "atm_iv": 28.3
  },
  "shape": "normal",
  "skew_percentile": 72,
  "interpretation": "Put skew is moderately steep (72nd percentile). OTM puts are pricing ~8 vol points above equidistant calls -- standard hedging demand with slight elevation."
}

Example Queries

User Says What Happens
"Vol smile AAPL" Smile curve for nearest monthly expiry with skew metrics
"Skew analysis NVDA" Full smile + skew percentile vs. history
"Put skew for TSLA" Focuses on put-side IV, 25d skew, skew percentile
"Is the smile steep for SPY?" Compares current 25d skew to 252-day range
"Smile shape GOOGL April expiry" Shape classification for specified expiration

Mock Data

Demo tickers available without API key: AAPL, NVDA, SPY, TSLA, META. Smile data uses realistic IV snapshots from mock-data/.

Related Skills

  • alphagbm-vol-surface -- See the full 3D surface across all expirations
  • alphagbm-iv-rank -- Is overall IV high or low vs. history?
  • alphagbm-options-strategy -- Steep skew suggests certain spread strategies
  • alphagbm-options-score -- Use skew insights to find better-scored contracts

Powered by AlphaGBM -- Real-data options & research intelligence for traders and AI agents. 10K+ users.

Version History

  • c69fa1b Current 2026-07-05 20:18

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Metadata

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Version
c69fa1b
Hash
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Indexed
2026-07-05 20:18

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