analyzing-market-sentiment

# Analyzing Market Sentiment

## Overview

This skill provides comprehensive cryptocurrency market sentiment analysis by combining multiple data sources:

- **Fear & Greed Index**: Market-wide sentiment from Alternative.me
- **News Sentiment**: Keyword-based analysis of recent crypto news
- **Market Momentum**: Price and volume trends from CoinGecko

**Key Capabilities:**
- Composite sentiment score (0-100) with classification
- Coin-specific sentiment analysis
- Detailed breakdown of sentiment components
- Multiple output formats (table, JSON, CSV)

## Prerequisites

Before using this skill, ensure:

1. **Python 3.8+** is installed
2. **requests** library is available: `pip install requests`
3. Internet connectivity for API access (Alternative.me, CoinGecko)
4. Optional: `crypto-news-aggregator` skill for enhanced news analysis

## Instructions

### Step 1: Assess User Intent

Determine what sentiment analysis the user needs:
- **Overall market**: No specific coin, general sentiment
- **Coin-specific**: Extract coin symbol (BTC, ETH, etc.)
- **Quick vs detailed**: Quick score or full breakdown

### Step 2: Execute Sentiment Analysis

Run the sentiment analyzer with appropriate options:

```bash
# Quick sentiment check (default)
python {baseDir}/scripts/sentiment_analyzer.py

# Coin-specific sentiment
python {baseDir}/scripts/sentiment_analyzer.py --coin BTC

# Detailed analysis with component breakdown
python {baseDir}/scripts/sentiment_analyzer.py --detailed

# Export to JSON
python {baseDir}/scripts/sentiment_analyzer.py --format json --output sentiment.json

# Custom time period
python {baseDir}/scripts/sentiment_analyzer.py --period 7d --detailed
```

### Step 3: Present Results

Format and present the sentiment analysis:
- Show composite score and classification
- Explain what the sentiment means
- Highlight any extreme readings
- For detailed mode, show component breakdown

### Command-Line Options

| Option | Description | Default |
|--------|-------------|-