Agent skill · data analytics · jeremylongshore

analyzing-market-sentiment

Analyze cryptocurrency market sentiment using Fear & Greed Index, news

Why this skill is useful

Adds a custom sentiment analysis script that combines multiple data sources and provides a composite score not readily available in public knowledge.

What it needs

Requires python installed locally. Requires alternative.me, coingecko account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.

What this skill does

Analyzing Market Sentiment Overview Cryptocurrency market sentiment analysis combining Fear & Greed Index, news keyword analysis, and price/volume momentum into a composite 0-100 score. Prerequisites 1. Python 3.8+ installed 2. Dependencies: pip install requests 3. Internet connectivity for API access (Alternative.me, CoinGecko) 4. Optional: crypto-news-aggregator skill for enhanced news analysis Instructions 1. Assess user intent - determine what analysis is needed: Overall market: no specific coin, general sentiment Coin-specific: extract symbol (BTC, ETH, etc.) Quick vs detailed: quick score or full component breakdown 2. Run sentiment analysis with appropriate options: 3. Export results for trading models or analysis: 4. Present results to the user: Show composite score and classification prominently Explain what the sentiment reading means Highlight extreme readings (potential contrarian signals) For detailed mode, show component breakdown with weights Output Composite sentiment score (0-100) with classification and weighted component breakdown. Extreme readings serve as contrarian indicators: Error Handling Error Cause Solution ------- ------- ---------- Fear & Greed unavailable API down Uses cached value with warning News fetch failed Network issue Reduces weight of news component Invalid coin Unknown symbol Proceeds with market-wide analysis See ${CLAUDESKILLDIR}/references/errors.md for comprehensive error handling. Examples Sentiment analysis patterns from quick checks to custom-weighted deep analysis: Resources ${CLAUDESKILLDIR}/references/implementation.md - CLI options, classifications, JSON format, contrarian theory ${CLAUDESKILLDIR}/references/errors.md - Comprehensive error handling ${CLAUDESKILLDIR}/references/examples.md - Detailed usage examples Alternative.me Fear & Greed: https://alternative.me/crypto/fear-and-greed-index/ CoinGecko API: https://www.coingecko.com/en/api ${CLAUDESKILLDIR}/config/settings.yaml - Configuration options

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills jeremylongshore/analyzing-market-sentiment--f6e211

View the source on GitHub

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