aaaaqwq/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:

# 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 | |--------|-------------|---------| | --coin | Analyze specific coin (BTC, ETH, etc.) | All market | | --period | Time period (1h, 4h, 24h, 7d) | 24h | | --detailed | Show full component breakdown | false | | --format | Output format (table, json, csv) | table | | --output | Output file path | stdout | | --weights | Custom weights (e.g., "news:0.5,fng:0.3,momentum:0.2") | Default | | --verbose | Enable verbose output | false |

Sentiment Classifications

| Score Range | Classification | Description | |-------------|----------------|-------------| | 0-20 | Extreme Fear | Market panic, potential bottom | | 21-40 | Fear | Cautious sentiment, bearish | | 41-60 | Neutral | Balanced, no strong bias | | 61-80 | Greed | Optimistic, bullish sentiment | | 81-100 | Extreme Greed | Euphoria, potential top |

Output

Table Format (Default)

==============================================================================
  MARKET SENTIMENT ANALYZER                         Updated: 2026-01-14 15:30
==============================================================================

  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.

==============================================================================

JSON Format

{
  "composite_score": 65.5,
  "classification": "Greed",
  "components": {
    "fear_greed": {
      "score": 72,
      "classification": "Greed",
      "weight": 0.40,
      "contribution": 28.8
    },
    "news_sentiment": {
      "score": 58.5,
      "articles_analyzed": 25,
      "positive": 12,
      "negative": 5,
      "neutral": 8,
      "weight": 0.40,
      "contribution": 23.4
    },
    "market_momentum": {
      "score": 66.5,
      "btc_change_24h": 3.5,
      "weight": 0.20,
      "contribution": 13.3
    }
  },
  "meta": {
    "timestamp": "2026-01-14T15:30:00Z",
    "period": "24h"
  }
}

Error Handling

See {baseDir}/references/errors.md for comprehensive 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 |

Examples

See {baseDir}/references/examples.md for detailed examples.

Quick Examples

# Quick market sentiment check
python {baseDir}/scripts/sentiment_analyzer.py

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

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

# Export for trading model
python {baseDir}/scripts/sentiment_analyzer.py --format json --output sentiment.json

# Custom weights (emphasize news)
python {baseDir}/scripts/sentiment_analyzer.py --weights "news:0.5,fng:0.3,momentum:0.2"

# Weekly sentiment comparison
python {baseDir}/scripts/sentiment_analyzer.py --period 7d --detailed

Resources

• Alternative.me Fear & Greed Index: https://alternative.me/crypto/fear-and-greed-index/
• CoinGecko API: https://www.coingecko.com/en/api
• Sentiment Analysis Theory: Contrarian indicator - extreme readings often precede reversals
• See {baseDir}/config/settings.yaml for configuration options