analyzing-market-sentiment

# 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: ```bash # 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 ``` 3. **Export results** for trading models or analysis: ```bash python ${CLAUDE_SKILL_DIR}/scripts/sentiment_analyzer.py --format json --output sentiment.json ``` 4. **Present results** to the user: - Show composite score and classification prominently - Explain what the sentiment reading means - Highlight ex...