analyzing-market-sentiment
Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill analyzing-market-sentiment- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads analyzing-market-sentiment automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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
- Python 3.8+ installed
- Dependencies:
pip install requests - Internet connectivity for API access (Alternative.me, CoinGecko)
- Optional:
crypto-news-aggregatorskill for enhanced news analysis
Instructions
-
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
-
Run sentiment analysis with appropriate options:
# Quick market sentiment check python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py # Coin-specific sentiment python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --coin BTC # Detailed breakdown with all components python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --detailed # Custom time period python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --period 7d --detailed -
Export results for trading models or analysis:
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --format json --output sentiment.json -
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:
==============================================================================
MARKET SENTIMENT ANALYZER Updated: 2026-01-14 15:30 # 2026 - current year timestamp
==============================================================================
COMPOSITE SENTIMENT
------------------------------------------------------------------------------
Score: 65.5 / 100 Classification: GREED
Component Breakdown:
- Fear & Greed Index: 72.0 (weight: 40%) -> 28.8 pts
- News Sentiment: 58.5 (weight: 40%) -> 23.4 pts
- Market Momentum: 66.5 (weight: 20%) -> 13.3 pts
Interpretation: Market is moderately greedy. Consider taking profits or
reducing position sizes. Watch for reversal signals.
==============================================================================
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 ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error handling.
Examples
Sentiment analysis patterns from quick checks to custom-weighted deep analysis:
# Quick market sentiment
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py
# Bitcoin-specific sentiment
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --coin BTC
# Detailed analysis with component breakdown
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --detailed
# Custom weights emphasizing news
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --weights "news:0.5,fng:0.3,momentum:0.2"
# Weekly sentiment trend
python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --period 7d --detailed
Resources
${CLAUDE_SKILL_DIR}/references/implementation.md- CLI options, classifications, JSON format, contrarian theory${CLAUDE_SKILL_DIR}/references/errors.md- Comprehensive error handling${CLAUDE_SKILL_DIR}/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
${CLAUDE_SKILL_DIR}/config/settings.yaml- Configuration options
FAQ
What does the analyzing-market-sentiment skill do?
Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
How do I install analyzing-market-sentiment?
Run npx skills add https://github.com/jeremylongshore/tons-of-skills-marketplace --skill analyzing-market-sentiment in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/analyzing-market-sentiment/ (personal) or .claude/skills/analyzing-market-sentiment/ (project).
Which AI agents can use analyzing-market-sentiment?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is analyzing-market-sentiment safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains analyzing-market-sentiment?
It is published by jeremylongshore in jeremylongshore/tons-of-skills-marketplace. It has 86 recorded installs.
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