News & Sentiment Analysis
Real-time market sentiment indicators and crypto news to help you make informed decisions
Historical Sentiment Trends
Fear & Greed Index Over Time
Track market sentiment changes and identify patterns
Average Sentiment
28.6
Fear
Fear vs Greed Days
Fear / Neutral / Greed
Highest Reading
33
Jul 22, 2026
Lowest Reading
25
Jul 21, 2026
Sentiment Volatility (Std Dev)
2.7
Low volatility - stable sentiment
Period Analyzed
7 days
Recent News & Market Sentiment
Market Insight Hub
-
Russia’s central bank drafts first rules for ‘organized’ crypto trading
The Bank of Russia drafted rules establishing organized trading, equity requirements, and digital depositories for digital asset markets.
The BlockJul 28, 2026bearish -
Bitcoin traders just stripped away crash protection – right as the Fed prepares its most unpredictable rate decision in years
Bitcoin traders have spent the past month reducing protection against a price decline while the Fed has made its next decision harder to predict. The Bitcoin options put-to-call open-interest ratio ha...
CryptoSlateJul 28, 2026bearish -
Binance co-founder CZ backs crypto license passporting across ASEAN
CoinTelegraphJul 28, 2026neutral -
Markets Consolidate as Investors Await Next Catalyst
BloombergJul 28, 2026neutral -
Profit-Taking Creates Headwinds for Major Cryptos
CoinDeskJul 28, 2026bearish -
Analysts Project New All-Time Highs for Bitcoin
Yahoo FinanceJul 28, 2026bullish
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Crypto Fear & Greed Index
Market sentiment indicator based on volatility, volume, and social media

Historical Values
Fear & Greed Index trends over time
Understanding Crypto Market Sentiment
What is Market Sentiment Analysis?
Market sentiment analysis in cryptocurrency is the study of the overall emotional state and attitudes of investors and traders toward the market. Unlike traditional fundamental or technical analysis, sentiment analysis focuses on the psychological factors that drive buying and selling decisions.
The cryptocurrency market is particularly susceptible to sentiment shifts due to its 24/7 trading nature, high retail participation, and sensitivity to news events. When investors are optimistic (greedy), they tend to buy more, pushing prices up. When fearful, they sell, causing prices to drop.
The Psychology of Fear and Greed: These two emotions are the primary drivers of market cycles. Fear leads to panic selling and capitulation at market bottoms, while greed creates FOMO (fear of missing out) and euphoria at market tops. Understanding this cycle is crucial for making informed investment decisions.
Contrarian Indicator: The Fear & Greed Index is often used as a contrarian indicator. The famous Warren Buffett quote applies here: "Be fearful when others are greedy, and greedy when others are fearful." When the index shows extreme fear, it may signal a buying opportunity, and extreme greed may suggest it's time to take profits.
How to Interpret the Fear & Greed Index
The index uses multiple data sources to calculate a single number between 0 and 100. Here's what each range typically indicates:
Market is extremely worried. Historically, this has often presented buying opportunities as fear creates undervaluation.
Market is cautious but not panicking. Prices may be declining or stagnant with negative news flow.
Balanced market sentiment. Neither fear nor greed dominates. Often seen during consolidation phases.
Market is optimistic with FOMO buying. Uptrend may continue but caution is advised.
Market euphoria and bubble territory. Historically associated with potential market tops.
Data Sources:
- • Volatility (25%) - Compares current volatility to 30/90 day averages
- • Market Momentum/Volume (25%) - Volume vs moving averages
- • Social Media (15%) - Twitter/Reddit sentiment analysis
- • Surveys (15%) - Weekly crypto polls (currently paused)
- • Bitcoin Dominance (10%) - BTC market cap percentage
- • Google Trends (10%) - Search volume for crypto terms
Using Sentiment for Trading Decisions
Best Practices
- • Combine sentiment with technical analysis (support/resistance, moving averages)
- • Use on-chain data to confirm sentiment signals
- • Consider multiple timeframes for context
- • Track sentiment trends, not just single readings
- • Wait for confirmation before acting on extreme readings
Historical Examples
- • March 2020: Index hit 8 (COVID crash) - BTC recovered 1,500%+
- • Nov 2021: Index at 84 before 75% market correction
- • June 2022: Index at 6 during Terra/Luna collapse - marked local bottom
- • Oct 2023: Index rose from 30 to 70 as ETF approval odds increased
Risk Warnings
- • Sentiment alone is NOT a reliable trading signal
- • Markets can stay irrational longer than expected
- • "Extreme" readings can persist for weeks
- • Past performance doesn't guarantee future results
- • Always use proper risk management
Related Learning Resources
Sentiment Level Reference Guide
Historical patterns and typical market conditions for each sentiment level
| Sentiment Level | Range | Typical Market Condition | Historical Pattern |
|---|---|---|---|
| Extreme Fear | 0-24 | Panic selling, capitulation | Average 15% gain in next 30 days |
| Fear | 25-44 | Cautious selling | Sideways or slight decline |
| Neutral | 45-55 | Balanced market | Consolidation phase |
| Greed | 56-75 | FOMO buying | Uptrend continuation |
| Extreme Greed | 76-100 | Euphoria, bubble territory | Average 10% correction within 30 days |
Frequently Asked Questions
About Our Data & Methodology
Data Sources
- • Fear & Greed Index: Alternative.me (updated daily)
- • News Sentiment: CoinTelegraph, The Block, CryptoSlate RSS feeds
- • Market Data: Real-time aggregated sources
Update Frequency
- • Fear & Greed Index: Daily at 00:00 UTC
- • News Sentiment: Real-time as stories are published
- • Historical Data: Archived daily
Disclaimer: The information provided on this page is for educational and informational purposes only. It should not be considered financial, investment, or trading advice. Cryptocurrency investments are highly volatile and risky. Always do your own research (DYOR) and consult with a qualified financial advisor before making investment decisions.