Agent SkillsAlphaGBM/skills › alphagbm-iv-rank

alphagbm-iv-rank

GitHub

计算标的IV Rank和Percentile,结合历史数据判断当前隐含波动率高低。提供交易信号建议(如高IV卖出期权、低IV买入期权),辅助期权定价与策略选择。

skills/alphagbm-iv-rank/SKILL.md AlphaGBM/skills

Trigger Scenarios

分析特定股票的隐含波动率水平 判断期权价格是否昂贵或便宜 基于波动率区间制定期权交易策略 查询IV历史分位数以评估风险

Install

npx skills add AlphaGBM/skills --skill alphagbm-iv-rank -g -y
More Options

Use without installing

npx skills use AlphaGBM/skills@alphagbm-iv-rank

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-iv-rank -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-iv-rank",
    "globs": [
        "mock-data\/*.json"
    ],
    "description": "IV Rank and IV Percentile analysis showing where current implied volatility stands relative to its 252-day history. Returns IV rank (0-100), IV percentile (0-100), IV history data, and trading signals based on IV zone. Use when: deciding whether to buy or sell premium, checking if IV is high or low, timing volatility trades, screening for IV extremes. Triggers on: \"IV rank AAPL\", \"is NVDA IV high\", \"IV percentile SPY\", \"historical IV TSLA\", \"is volatility cheap for META\", \"IV rank scan\", \"should I sell premium\".\n"
}

AlphaGBM IV Rank

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

Calculates IV Rank and IV Percentile for any ticker, placing current implied volatility in historical context. Answers the key question: "Is IV high or low right now, and what should I do about it?"

Key Metrics

Metric Formula What It Means
IV Rank (Current IV - 52w Low) / (52w High - 52w Low) x 100 Where IV sits in its annual range. 0 = at the low, 100 = at the high
IV Percentile % of days in past year where IV was lower than today What % of the time IV was cheaper than now. 80 = IV was lower 80% of the time
Current IV 30-day ATM implied volatility The market's current expectation of annualized movement
IV 52w High Highest 30-day IV in past 252 trading days Peak IV -- usually during selloffs or events
IV 52w Low Lowest 30-day IV in past 252 trading days Trough IV -- usually during calm, grinding markets
HV/IV Ratio Historical Volatility / Implied Volatility >1 means realized vol exceeds implied (IV may be cheap)

IV Zones and Trading Signals

IV Rank Zone What It Means Suggested Action
80-100 Very High IV is near its annual peak -- options are expensive Sell premium: short strangles, iron condors, credit spreads
60-80 High IV is elevated -- above-average option prices Lean toward selling, but selective; good for covered calls
40-60 Moderate IV is in the middle -- neither cheap nor expensive Strategy-neutral; use directional view to decide
20-40 Low IV is depressed -- options are cheap Lean toward buying; good for debit spreads, long straddles
0-20 Very Low IV is near its annual trough -- options are very cheap Buy premium: long straddles, debit spreads, calendars (sell back month)

API Endpoint

IV Snapshot (instant, no quota cost)

GET /api/options/snapshot/<SYMBOL>

Returns: ATM IV, IV Rank, HV 30d, VRP, VRP level. This endpoint is free and does not count against your analysis quota.

Volatility Risk Premium (VRP)

VRP = Implied Vol - Historical Vol

VRP measures the gap between what the market expects (IV) and what actually happens (HV). It is a key signal for whether to sell or buy premium.

VRP Level Value Seller Buyer
very_high >=15% Very favorable Unfavorable
high 5-15% Favorable Slightly unfavorable
normal +/-5% Neutral Neutral
low -15% to -5% Unfavorable Favorable
very_low <-15% Very unfavorable Very favorable

How to Use

Input

  • Required: Ticker symbol
  • Optional: Lookback period (default 252 days), IV measure (30-day ATM, 60-day, or custom)

Output Structure

{
  "ticker": "AAPL",
  "price": 218.45,
  "iv_current": 28.5,
  "iv_rank": 42,
  "iv_percentile": 55,
  "iv_52w_high": 48.2,
  "iv_52w_low": 18.8,
  "iv_52w_mean": 30.1,
  "hv_30d": 25.2,
  "hv_iv_ratio": 0.88,
  "zone": "moderate",
  "signal": "No strong IV edge. Use directional conviction to choose strategy.",
  "iv_history": {
    "dates": ["2025-04-01", "2025-04-02", "..."],
    "iv_values": [32.1, 31.8, "..."],
    "hv_values": [28.5, 28.3, "..."]
  },
  "notable_events": [
    {"date": "2026-01-28", "iv": 48.2, "event": "Earnings spike"},
    {"date": "2025-08-05", "iv": 44.1, "event": "Market selloff"}
  ]
}

Example Queries

User Says What Happens
"IV rank AAPL" IV rank, percentile, zone, and trading signal
"Is NVDA IV high?" IV rank + zone classification + comparison to 52w range
"IV percentile SPY" Percentile with historical context
"Historical IV TSLA" Full 252-day IV history with HV overlay
"Is volatility cheap for META?" IV rank + HV/IV ratio + buy/sell recommendation
"Should I sell premium on QQQ?" IV rank-based answer with suggested strategies

Mock Data

Demo tickers available without API key: AAPL, NVDA, SPY, TSLA, META. IV history uses realistic 252-day data from mock-data/.

Related Skills

  • alphagbm-vol-surface -- Full 3D IV landscape across strikes and expirations
  • alphagbm-vol-smile -- IV skew for a specific expiration
  • alphagbm-options-strategy -- IV zone informs whether to buy or sell premium
  • alphagbm-options-score -- IV attractiveness is a key scoring factor

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
8ae18165
Indexed
2026-07-05 20:18

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