Analyze market sentiment from social media, news, and on-chain data
Installation
npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/market-sentiment-analyzer
Contents
Folders: commands, skills
Files: LICENSE, README.md
Documentation
Analyze market sentiment from social media, news, and on-chain data to gauge market mood and identify trading opportunities.
Features
Multi-Source Analysis
- Social Media: Twitter, Reddit, Telegram sentiment
- News: Headlines, article sentiment, media coverage
- On-Chain: Whale movements, exchange flows, network activity
- Technical: Fear & Greed Index, momentum indicators
Sentiment Metrics
- Overall sentiment score (0-100)
- Fear & Greed Index calculation
- Trend detection and momentum
- Contrarian signals
- Correlation with price
Installation
/plugin install market-sentiment-analyzer@claude-code-plugins-plus
Usage
/analyze-sentiment BTC
Analyzing Bitcoin sentiment:
- Social media mentions: 15,420
- News sentiment: 72% positive
- On-chain: Accumulation phase
- Fear & Greed: 65 (Greed)
Commands
| Command | Description | Shortcut |
|---|---|---|
/analyze-sentiment | Full sentiment analysis | as |
/social-pulse | Social media sentiment | sp |
/news-sentiment | News analysis | ns |
/fear-greed | Fear & Greed Index | fg |
Sentiment Indicators
Fear & Greed Index
- 0-25: Extreme Fear
- 25-45: Fear
- 45-55: Neutral
- 55-75: Greed
- 75-100: Extreme Greed
Social Sentiment
- Mention volume trends
- Sentiment polarity
- Influential account activity
- Viral content detection
On-Chain Sentiment
- Exchange inflows/outflows
- Whale accumulation
- Long-term holder behavior
- Network growth metrics
Data Sources
- Twitter API
- Reddit API
- CryptoQuant
- Glassnode
- News aggregators
License
MIT License
Built for sentiment traders by Intent Solutions IO
Included Skills
This plugin includes 1 skill definition:
analyzing-market-sentiment
|
View skill definition
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-aggregatorskill 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 JS
...(truncated)
</details>
## Source
[View on GitHub](https://github.com/jeremylongshore/claude-code-plugins-plus-skills)