Bitcoin market sentiment historical data
Monthly and daily analysis from thousands of sources.
Track Bitcoin market psychology over time. Browse monthly sentiment reports, daily Fear & Greed Index data, and long-term trend analysis.
Monthly sentiment reports archive
Explore sentiment trends across all available months with interactive visualizations
September 2026 Analysis
Daily Sentiment Progression
How sentiment changed throughout September 2026
Monthly Sentiment Distribution
Average sentiment breakdown for September 2026
What We Track Monthly
Every monthly report aggregates three feeds: the daily index, social sentiment, and outlet coverage.
Fear & Greed Index
Daily sentiment scores from 0 (extreme fear) to 100 (extreme greed), averaged monthly to show overall market psychology trends.
Social Media Sentiment
Analysis of Twitter, Reddit, and other social platforms to gauge retail investor sentiment and community mood.
News & Media Analysis
Sentiment analysis of major financial publications, crypto media, and institutional reports to track professional sentiment.
Why Track Monthly Sentiment?
Historical sentiment context for market analysis and research
Identify Market Cycles
Monthly sentiment analysis surfaces recurring patterns and market cycles. The archive shows when fear and greed peaked in past cycles, month by month.
- Seasonal sentiment patterns
- Market cycle identification
- Historical trend analysis
Regime Context
Monthly aggregates put today's reading in context. The same score means one thing after a quiet quarter and another after three euphoric months, and the archive shows both.
- Regime comparisons by month
- Extreme readings flagged by date
- Score distribution over time
Daily Sentiment Analysis
Every day since February 2018 gets its own analysis page: the measured score plus the coverage breakdown behind it.
Recent Daily Analysis
Access detailed sentiment analysis for individual days. Track hourly progression, key events, and market psychology.
Browse by Date
Jump to any specific date to see detailed sentiment analysis. Use the format YYYY-MM-DD in the URL.
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