AI-Processed Sentiment Data
Pre-processed historical sentiment data from KOLs (Key Opinion Leaders), news outlets, social platforms, and more. All data analyzed through AI and ready for backtesting.
KOL (Key Opinion Leader) Data
Top KOL Sentiment Analysis
Complete historical analysis of top Key Opinion Leaders' social media processed through AI
Data Processing:
Each post analyzed for: sentiment score, importance level, cryptocurrency impact, urgency, market influence
Historical Data:
Full archive of major KOLs including top industry leaders, founders, and influencers
Available Metrics:
- •Sentiment (-1 to +1)
- •Crypto relevance (0-100%)
- •Market impact score (1-10)
- •Viral potential (1-10)
- •Topic classification
Backtesting Features:
Filter by KOL, date, crypto mentions, sentiment threshold, impact score
Use Case:
Backtest strategies based on KOL historical influence on crypto markets
News & Media Sentiment Data
Cointelegraph Article Archive
Complete historical analysis of all Cointelegraph articles processed through AI
Data Processing:
Each article analyzed for sentiment, topic, market impact, FUD/FOMO level, technical analysis mentions
Historical Data:
10+ years of articles, fully categorized and scored
Available Metrics:
- •Article sentiment
- •Topic classification
- •Mentioned coins/tokens
- •Technical indicators cited
- •Price predictions
Backtesting Features:
Filter by date, coin mentions, sentiment score, article type, author
Use Case:
Test how news sentiment historically correlated with price movements
CoinDesk News Sentiment
Historical sentiment data from all CoinDesk publications
Data Processing:
AI analysis of headlines, body text, quoted sources, editorial stance
Historical Data:
Complete archive since 2013
Available Metrics:
- •Headline sentiment
- •Article sentiment
- •Market outlook
- •Regulatory tone
- •Innovation coverage
Backtesting Features:
Search by topic, timeframe, market conditions, regulatory news
Use Case:
Understand how major crypto news outlet sentiment affects markets
Bloomberg Crypto Coverage
Institutional media sentiment from Bloomberg's crypto reporting
Data Processing:
Professional financial news analysis with institutional bias detection
Historical Data:
All crypto-related Bloomberg content since 2017
Available Metrics:
- •Institutional sentiment
- •Market maturity score
- •Regulatory focus
- •Traditional finance perspective
Backtesting Features:
Institutional vs retail sentiment divergence analysis
Use Case:
Track how traditional financial media coverage impacts crypto markets
Reuters Financial News
Global financial news agency crypto coverage with neutral bias scoring
Data Processing:
Factual reporting analysis, market impact assessment, global perspective
Historical Data:
Complete crypto coverage archive
Available Metrics:
- •News sentiment
- •Geographic focus
- •Regulatory developments
- •Market events
- •Breaking news impact
Backtesting Features:
Event-driven backtesting, news cascade analysis
Use Case:
Analyze impact of major news events on crypto markets
Social Platform Sentiment Data
Reddit Sentiment History
Complete historical sentiment from major crypto subreddits processed through AI
Data Processing:
Post and comment analysis for sentiment, quality score, engagement metrics, meme detection
Historical Data:
r/cryptocurrency, r/bitcoin, r/ethtrader, r/wallstreetbets crypto content - 5+ years
Available Metrics:
- •Post sentiment
- •Comment sentiment
- •Upvote ratio
- •Award frequency
- •Meme prevalence
Backtesting Features:
Filter by subreddit, post type, engagement level, time period
Use Case:
Analyze retail investor sentiment and its historical market impact
X Crypto Sentiment
Comprehensive X sentiment data from crypto-related posts
Data Processing:
Tweet analysis including replies, retweets, likes, hashtag trends
Historical Data:
Millions of crypto tweets since 2015, categorized by influence
Available Metrics:
- •Tweet sentiment
- •Engagement rate
- •Hashtag momentum
- •Reply sentiment
- •Viral coefficient
Backtesting Features:
Search by hashtag, date, influence level, engagement threshold
Use Case:
Track how X sentiment and viral trends affect price action
Discord & Telegram Groups
Sentiment data from major crypto Discord servers and Telegram groups
Data Processing:
Message analysis, emoji reactions, user activity patterns, announcement impacts
Historical Data:
Top 100 crypto communities, 3+ years of messages
Available Metrics:
- •Message sentiment
- •Active users
- •Emoji sentiment
- •Announcement reactions
- •FUD spread rate
Backtesting Features:
Community-specific analysis, event correlation, sentiment shifts
Use Case:
Understand community sentiment dynamics and early signal detection
YouTube Crypto Content
Analysis of crypto YouTube videos, comments, and engagement
Data Processing:
Video transcript analysis, comment sentiment, like/dislike ratios, view velocity
Historical Data:
Top 500 crypto channels, full video archive
Available Metrics:
- •Video sentiment
- •Comment sentiment
- •Engagement ratio
- •View growth rate
- •Influencer reach
Backtesting Features:
Channel-specific analysis, topic filtering, viral content tracking
Use Case:
Track educational content sentiment and retail investor interest
Aggregated Sentiment Indicators
Fear & Greed Index Data
Historical Fear & Greed Index values with component breakdown
Data Processing:
Daily calculation from multiple data sources: volatility, momentum, social media, surveys, dominance
Historical Data:
Complete daily history since 2018
Available Metrics:
- •Overall index (0-100)
- •Volatility component
- •Market momentum
- •Social media sentiment
- •Survey results
- •Bitcoin dominance
Backtesting Features:
Test strategies based on extreme fear/greed levels, component divergences
Use Case:
Contrarian trading signals, market psychology extremes
Aggregate Social Sentiment
Combined sentiment score from all social platforms
Data Processing:
Weighted average of Reddit, X, Discord, Telegram, YouTube sentiment
Historical Data:
Hourly aggregated data since 2019
Available Metrics:
- •Overall social sentiment
- •Platform breakdown
- •Sentiment velocity
- •Divergence indicators
- •Consensus score
Backtesting Features:
Multi-platform sentiment strategies, divergence trading
Use Case:
Comprehensive social sentiment for backtesting
Whale Alert Sentiment
Large transaction data with sentiment context
Data Processing:
On-chain whale movements paired with concurrent sentiment analysis
Historical Data:
All major whale movements with sentiment context
Available Metrics:
- •Transaction size
- •Wallet type
- •Market sentiment at time
- •Price impact
- •Subsequent sentiment shift
Backtesting Features:
Whale behavior patterns, sentiment-based whale tracking
Use Case:
Understand how large holders react to sentiment changes
Regulatory Event Timeline
Historical regulatory events with market sentiment impact
Data Processing:
Major regulatory announcements with before/after sentiment analysis
Historical Data:
All major regulatory events since 2013
Available Metrics:
- •Event type
- •Geographic region
- •Sentiment before/after
- •Market impact
- •Recovery time
Backtesting Features:
Regulatory event trading, sentiment recovery patterns
Use Case:
Test strategies around regulatory announcements
Backtest with Historical Sentiment Data
Access years of pre-processed sentiment data from KOLs, news outlets, and social platforms. All analyzed through AI and ready for your strategies.