Social Intelligence
Composite social sentiment from three independent sources — updated every 30 minutes
How the Social Score is Built
The Social Intelligence score blends three independent data sources into a 0–100 composite reading. It contributes 25% to the overall btc.london Score.
Fear & Greed Index — 50% of Social Score
Fetched from alternative.me, the Fear & Greed Index is itself a composite of five inputs: price volatility (25%), market momentum/volume (25%), social media volume on Twitter/Reddit (15%), Bitcoin dominance (10%), and Google Trends search volume (10%). A score of 0 represents extreme fear; 100 represents extreme greed. Known bias: this index tends to lag price action — it often reads fear during recoveries and greed during tops.
CoinGecko Community Sentiment — 30% of Social Score
CoinGecko collects sentiment votes (thumbs up/down) from its active user community for BTC, ETH, SOL, and XRP. These are normalised and blended, with BTC weighted at 50% of this component. Known bias: CoinGecko's user base skews toward active retail participants, so it can overstate bullishness during market peaks when engagement is highest.
Reddit Discussion — 20% of Social Score
We fetch the top 25 posts from r/Bitcoin and r/CryptoCurrency via RSS. Claude Haiku semantically scores each post title on a -1 to +1 scale — this is not keyword matching but true semantic understanding of whether each post is bullish, bearish, or neutral. Known bias: Reddit discussion reflects what is already viral, not what is emerging. Negative posts tend to accumulate upvotes over time, creating a lag indicator that can remain pessimistic hours after a price recovery.
Score Mapping
Each source is normalised to 0–100 before blending. The composite social score is then fed into the btc.london Score at 25% weight alongside News Sentiment (40%), Volatility (20%), and BTC Dominance (15%). The full score refreshes every hour alongside the narrative rebuild.