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Alphagbm Market Sentiment

skill-alphagbm-skills-alphagbm-market-sentiment · by AlphaGBM

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Install

$ agentstack add skill-alphagbm-skills-alphagbm-market-sentiment

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Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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](../alphagbm-stock-analysis/) | Individual stock analysis informed by market regime | | [alphagbm-unusual-activity](../alphagbm-unusual-activity/) | Unusual flow patterns that contribute to sentiment signals |


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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.