social-sentiment-tracker

name	social-sentiment-tracker
description	Track and analyze crypto social media sentiment across platforms including Twitter/X, Reddit, Discord, and Telegram to identify narrative shifts, trending topics, and crowd behavior patterns.
license	MIT
metadata	{"category":"news","difficulty":"intermediate","author":"sperax-team","tags":["news","sentiment","social","twitter","reddit","narratives"]}

Social Sentiment Tracker

When to use this skill

Use when the user asks about:

• What people are saying about a specific token on social media
• Trending crypto topics or narratives
• Detecting shifts in community sentiment
• Identifying emerging narratives before they go mainstream
• Gauging retail vs informed investor sentiment

Tracking Framework

1. Platform-Specific Analysis

Each platform has different signal quality:

Twitter/X:

• Highest velocity of crypto information
• Key metrics: mention volume, sentiment ratio, engagement rate
• Watch for: influencer threads, developer announcements, project team posts
• Noise factor: High — filter out bots, paid promotions, and engagement farming

Reddit (r/cryptocurrency, r/defi, project-specific subs):

• Longer-form discussion, stronger community signal
• Key metrics: post/comment volume, upvote ratios, daily active commenters
• Watch for: due diligence posts, sentiment shift in comment sections
• Noise factor: Medium — some echo chamber effects

Discord/Telegram:

• Real-time community pulse
• Key metrics: message volume, member growth, moderator activity
• Watch for: team communication frequency and quality, community questions
• Noise factor: High — lots of price speculation and spam

2. Sentiment Scoring

Rate sentiment on a standardized scale:

• Very Bullish (+2): Overwhelming positive discussion, celebration, price target raising
• Bullish (+1): Majority positive, constructive discussion about growth
• Neutral (0): Balanced discussion, no clear direction
• Bearish (-1): Majority negative, concern about fundamentals or price
• Very Bearish (-2): Panic, capitulation language, mass unfollowing

Score each platform independently and create a weighted aggregate.

3. Narrative Detection

Identify and track emerging narratives:

• Current dominant narrative: What theme is driving the most discussion?
• Rising narratives: Topics gaining momentum but not yet mainstream
• Fading narratives: Previously hot topics losing engagement
• Narrative lifecycle: New > Growing > Peak > Declining > Dead
• Narrative examples: "RWA season", "L2 wars", "restaking meta", "AI x crypto"

Track narrative age — narratives that are 2+ weeks old with declining engagement are likely past peak opportunity.

4. Influencer and Smart Follower Analysis

Monitor key opinion leaders:

• Developer accounts: What are core developers building or discussing?
• Analyst accounts: What are respected analysts (not shillers) highlighting?
• Fund/VC accounts: What are institutional participants signaling?
• Contrarian voices: What are known contrarian thinkers saying?
• Credibility weighting: Weight opinions by the source's track record, not follower count

5. Crowd Psychology Indicators

Detect extreme sentiment states:

• FOMO indicators: "Last chance to buy", "never going back to these prices", price target escalation
• Capitulation indicators: "I'm done with crypto", "this time it's different (bearish)", mass unfollowing of crypto accounts
• Complacency indicators: Drop in discussion volume despite high prices — no fear means no hedging
• Denial indicators: Dismissing bearish data, attacking those who raise concerns

6. Contrarian Signals

The crowd is often wrong at extremes:

• When Twitter sentiment is >80% bullish, the top is often near
• When Reddit front page has "crypto is dead" posts, the bottom is often near
• Maximum social volume often coincides with short-term tops
• Minimum social engagement often coincides with the best accumulation opportunities

7. Output Format

• Token/Topic: What was analyzed
• Sentiment score: -2 to +2 with trend direction
• Social volume: High / Normal / Low relative to 30-day average
• Platform breakdown: Twitter / Reddit / Discord sentiment individually
• Dominant narrative: Current driving theme
• Emerging narratives: New themes gaining traction
• Influencer consensus: What key voices are saying
• Crowd psychology state: FOMO / Optimism / Neutral / Fear / Capitulation
• Contrarian signal: What the data suggests the crowd might be wrong about
• Actionable insight: How to use this sentiment information