Agent SkillsAlphaGBM/skills › alphagbm-market-sentiment

alphagbm-market-sentiment

GitHub

聚合VIX、PCR、恐惧贪婪指数等指标,分析市场广度与板块轮动,判定当前风险状态(风险偏好/规避/中性),为交易策略提供情绪仪表盘和可执行解读。

skills/alphagbm-market-sentiment/SKILL.md AlphaGBM/skills

Trigger Scenarios

market sentiment is the market fearful VIX analysis put call ratio market breadth fear and greed risk on or risk off advance decline new highs new lows sector rotation market regime

Install

npx skills add AlphaGBM/skills --skill alphagbm-market-sentiment -g -y
More Options

Use without installing

npx skills use AlphaGBM/skills@alphagbm-market-sentiment

指定 Agent (Claude Code)

npx skills add AlphaGBM/skills --skill alphagbm-market-sentiment -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-market-sentiment",
    "globs": [
        "mock-data\/market-sentiment\/**"
    ],
    "description": "Market-wide sentiment dashboard with VIX, Put\/Call ratio, Fear & Greed Index, market breadth,\nand sector rotation analysis. Classifies current regime as risk-on, risk-off, or neutral.\nTriggers: \"market sentiment\", \"is the market fearful\", \"VIX analysis\", \"put call ratio\",\n\"market breadth\", \"fear and greed\", \"risk on or risk off\", \"advance decline\",\n\"new highs new lows\", \"sector rotation\", \"market regime\"\n"
}

AlphaGBM Market Sentiment Dashboard

Aggregates market-wide sentiment indicators into a single dashboard, classifying the current regime to guide your trading stance.

What This Skill Does

Indicator Description
VIX Level + Percentile Current VIX value and its rank over the past year (e.g., 85th percentile = elevated fear)
Put/Call Ratio Equity and index P/C ratios — high values signal fear, low values signal complacency
Fear & Greed Index Composite score (0-100) combining multiple sentiment inputs
Market Breadth Advance/decline ratio and new highs vs new lows — measures participation
Sector Rotation Stage Which sectors are leading/lagging, mapped to the economic cycle
Regime Classification Overall assessment: risk-on, risk-off, or neutral with confidence level

How to Use

Input: A market sentiment query (no ticker required, or specify VIX/SPX for focused analysis).

Output:

  • Sentiment dashboard with all indicators and their current readings
  • Historical context: where each indicator sits relative to the past 1 year
  • Current regime classification (risk-on / risk-off / neutral) with confidence %
  • Sector rotation map: early cycle, mid cycle, late cycle, or recession positioning
  • Actionable interpretation: what the current sentiment means for options trading

Example Queries:

  • market sentiment — Full dashboard with all indicators
  • is the market fearful — Quick fear/greed assessment
  • VIX analysis — Deep dive on VIX level, term structure, and percentile
  • put call ratio — Equity and index put/call with historical context
  • market breadth — Advance/decline, new highs/lows, participation analysis
  • sector rotation — Which sectors are leading and what cycle stage we are in

Mock Data

Mock data files are located in mock-data/market-sentiment/ and include:

  • sentiment-dashboard.json — Full dashboard snapshot with all indicators
  • vix-history.json — VIX time series with percentile ranks
  • sector-rotation.json — Sector performance and cycle classification

API Endpoint

GET /api/analytics/market-sentiment

Query parameters:

  • indicators (string, default "all") — Comma-separated list: "vix", "pcr", "fear_greed", "breadth", "rotation"
  • lookback_days (int, default 252) — Historical period for percentile calculations

Response fields: vix, put_call_ratio, fear_greed_index, breadth, sector_rotation, regime, regime_confidence

Related Skills

Skill Relevance
alphagbm-stock-analysis Individual stock analysis informed by market regime
alphagbm-unusual-activity Unusual flow patterns that contribute to sentiment signals

Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Version History

  • c69fa1b Current 2026-07-05 20:18

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Metadata

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Version
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Hash
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Indexed
2026-07-05 20:18

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