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:

Python 3.8+

is installed

requests

library is available:

pip install requests

Internet connectivity for API access (Alternative.me, CoinGecko)

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