📊 Sentiment Analyzer

K.I.T.'s Social Intelligence - Know what the market FEELS before it moves!

Features

🐦 Twitter/X Sentiment

• Real-time crypto tweets analysis
• Influencer tracking (Elon, CZ, Vitalik, etc.)
• Hashtag volume monitoring
• Viral tweet detection

🤖 Reddit Sentiment

• r/wallstreetbets analysis
• r/cryptocurrency monitoring
• r/Bitcoin, r/ethereum tracking
• Meme coin detection
• FOMO/FUD scoring

📰 News Sentiment

• Crypto news headlines
• Bloomberg, Reuters, CoinDesk
• Breaking news alerts
• Regulatory news detection

😱 Fear & Greed Index

• Alternative.me integration
• Historical correlation analysis
• Extreme fear = BUY signals
• Extreme greed = SELL signals

📈 Social Volume

• Mention volume tracking
• Unusual activity detection
• Pump group monitoring
• Whale wallet tracking mentions

Usage

from sentiment_analyzer import SentimentEngine

engine = SentimentEngine()

# Get overall sentiment
sentiment = await engine.analyze(
    symbol="BTC",
    sources=["twitter", "reddit", "news"]
)

print(f"Overall: {sentiment.score:.2f}")  # -1 to 1
print(f"Mood: {sentiment.mood}")  # BULLISH/BEARISH/NEUTRAL
print(f"Fear & Greed: {sentiment.fear_greed}")
print(f"Social Volume: {sentiment.volume_change:+.1%}")

# Track specific influencer
alerts = await engine.track_influencer("elonmusk")

# Get trending topics
trending = await engine.get_trending(limit=10)

Sentiment Signals

Score	Interpretation	Action
> 0.7	Extreme Greed	Consider selling
0.3-0.7	Bullish	Hold/accumulate
-0.3-0.3	Neutral	Wait for signal
-0.7--0.3	Bearish	Reduce exposure
< -0.7	Extreme Fear	Consider buying

Configuration

sentiment_analyzer:
  twitter:
    api_key: ${TWITTER_API_KEY}
    influencers:
      - elonmusk
      - caborek
      - VitalikButerin
    keywords:
      - bitcoin
      - crypto
      - ethereum

  reddit:
    client_id: ${REDDIT_CLIENT_ID}
    client_secret: ${REDDIT_CLIENT_SECRET}
    subreddits:
      - wallstreetbets
      - cryptocurrency
      - Bitcoin

  news:
    sources:
      - coindesk
      - cointelegraph
      - bloomberg

  alerts:
    extreme_sentiment: true
    influencer_tweets: true
    unusual_volume: true

Dependencies

• tweepy>=4.14.0
• praw>=7.7.0
• transformers>=4.35.0
• nltk>=3.8.0
• textblob>=0.17.0