Crypto Fear & Greed Index
Monitor crypto market sentiment in real time. Our composite index combines volatility, momentum, social media, dominance, search trends, and funding rates into a single sentiment score.
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Updated: March 11, 2026 · Composite index based on 6 market signals
Today
62
7-Day Avg
52
30-Day Avg
45
30-Day Range
18–78
Low to high
30-Day History
Index Components
| Component | Weight | Current | Signal |
|---|---|---|---|
Volatility BTC 30-day volatility vs 90-day average | 25% | Low | Greed |
Market Momentum BTC volume and price momentum vs moving averages | 25% | Above avg | Greed |
Social Media Crypto mentions, hashtags, and engagement rates | 15% | Elevated | Greed |
Dominance BTC market cap dominance — high = fear, low = greed | 10% | 53.2% | Neutral |
Google Trends Search interest for 'buy crypto' and related terms | 10% | Moderate | Neutral |
Funding Rates Average perpetual futures funding rates | 15% | Positive | Greed |
What the Current Reading Means
| Zone | Interpretation | Historical Context |
|---|---|---|
Extreme Fear (0-20) | Market is very fearful — potential buying opportunity | Often near market bottoms |
Fear (21-40) | Investors are worried — below average sentiment | Common during corrections |
Neutral (41-60) | Market is balanced — no strong directional bias | Often a consolidation phase |
Greed (61-80) | Investors are optimistic — potential overheating | Often during rallies |
Extreme Greed (81-100) | Market is euphoric — historically precedes corrections | Often near market tops |
Recommended next steps
Limitations
- •The Fear & Greed Index is a sentiment indicator, not a trading signal
- •Extreme readings can persist for weeks — timing tops and bottoms is unreliable
- •The index is based on Bitcoin-centric data and may not reflect altcoin sentiment
- •Social media signals can be manipulated by bots and coordinated campaigns
- •Past patterns do not guarantee future outcomes
- •This is an educational composite — exact methodology may differ from other providers
This tool provides educational information only. It is not financial, tax, or legal advice. Always consult qualified professionals for decisions about your specific situation. Results are based on general patterns and may not reflect your circumstances.
What Is the Crypto Fear & Greed Index?
The Crypto Fear & Greed Index measures market sentiment on a scale of 0 (extreme fear) to 100 (extreme greed). It combines multiple data sources — volatility, momentum, social media activity, Bitcoin dominance, search trends, and funding rates — into a single composite score that reflects how investors are feeling about the crypto market.
How to Use the Fear & Greed Index
Warren Buffett famously said: "Be fearful when others are greedy, and greedy when others are fearful." The same principle applies to crypto. When the index shows extreme fear, it may represent a buying opportunity. When it shows extreme greed, it may be time to take profits. Use our DCA calculator to build positions during fear phases, and our portfolio rebalancer to trim during greed phases.
Index Components Explained
- Volatility (25%): Compares current BTC volatility to historical averages. High volatility signals fear.
- Market Momentum (25%): Compares trading volume and price action to moving averages. Strong momentum signals greed.
- Social Media (15%): Tracks crypto mentions, engagement, and sentiment across social platforms.
- BTC Dominance (10%): When Bitcoin dominance rises, it signals fear (flight to safety). When it falls, altcoins rally (greed).
- Google Trends (10%): Search interest for "buy crypto" and related terms indicates retail interest.
- Funding Rates (15%): Average perpetual futures funding rates show trader positioning and leverage sentiment.
Historical Fear & Greed Patterns
Historically, periods of extreme fear (below 20) have coincided with major market bottoms — COVID crash (March 2020), China ban (July 2021), and LUNA/FTX events (2022). Conversely, extreme greed (above 80) has preceded most major corrections. However, the index can stay in extreme zones for extended periods, so it works best as one input among many rather than a standalone signal. Combine it with our correlation matrix and token unlock schedule for a complete picture.