analyzing-market-sentiment

Original：🇺🇸 English
Translated
5 scriptsChecked / no sensitive code detected

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".

6installs
Sourcejeremylongshore/claude-code-plugins-plus-skills
Added on

NPX Install

npx skill4agent add jeremylongshore/claude-code-plugins-plus-skills analyzing-market-sentiment

Tags

Translated version includes tags in frontmatter
crypto-sentiment-analysisfear-greed-indexmarket-momentumnews-sentimentcoin-gecko-api

SKILL.md Content

View Translation Comparison →

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

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

Sentiment Classifications

Score RangeClassificationDescription
0-20Extreme FearMarket panic, potential bottom
21-40FearCautious sentiment, bearish
41-60NeutralBalanced, no strong bias
61-80GreedOptimistic, bullish sentiment
81-100Extreme GreedEuphoria, 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

json
{
  "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.
ErrorCauseSolution
Fear & Greed unavailableAPI downUses cached value with warning
News fetch failedNetwork issueReduces weight of news component
Invalid coinUnknown symbolProceeds with market-wide analysis

Examples

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

Quick Examples

bash
# 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