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alphagbm-vol-smile

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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".

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How to use this skill

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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

OutputWhat It Shows
Smile CurveIV at each strike for the selected expiry -- the raw smile data
25-Delta SkewIV(25d put) - IV(25d call) -- the standard measure of directional skew
Risk ReversalPrice of 25d call minus 25d put -- a tradeable expression of skew
Smile ShapeClassification: normal, flat, reverse, winged, or smirk
Skew PercentileCurrent skew vs. 252-day history -- is skew unusually steep or flat?

What Smile Shape Means for Trading

ShapeDescriptionMarket ImplicationTrade Ideas
NormalOTM puts have higher IV than OTM callsStandard hedging demand -- puts are expensiveSell put spreads, buy call spreads
FlatIV roughly equal across strikesLow fear, balanced positioningNeutral strategies (iron condors)
ReverseOTM calls have higher IV than OTM putsUpside speculation or short squeeze riskSell call spreads if overpriced
WingedBoth OTM puts and calls elevatedExpecting a large move, direction unknownSell straddles/strangles if IV is high
SmirkAsymmetric -- one side significantly steeperDirectional fear concentrated on one sideTrade 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 SaysWhat 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

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