Ethereum Fear & Greed Index
Overview · Sentiment index · updated daily
About the Ethereum Fear & Greed Index
Machine-learning fear and greed signal for Ethereum - tracking DeFi activity sentiment, staking demand, network upgrade narratives, and ETH's evolving monetary premium discussions.
Crypto sentiment is highly reflexive — narrative can drive price, which reinforces narrative. Extreme Fear readings (0–20) have historically marked cyclical bottoms within weeks; Extreme Greed readings (80–100) have preceded corrections within days to weeks. The Awareness score is especially sensitive to on-chain activity spikes, exchange listings, and regulatory headlines.
Key drivers
- On-chain transaction volume and active addresses
- Exchange inflow / outflow trends
- Regulatory announcements and enforcement actions
- Bitcoin dominance shifts
- Macro risk-on / risk-off sentiment
Reading the Sentiment scale
- 0-20Now · 1Extreme FearPanic-driven coverage; capitulation zone where rebounds often start.
- 21-40FearCaution dominates; buyers are hesitant.
- 41-60NeutralBalanced coverage; waiting for a catalyst.
- 61-80GreedOptimism building; momentum-driven coverage.
- 81-100Extreme GreedEuphoric coverage; pullback risk is high.
How to use this index
- Use the Sentiment score to gauge the prevailing narrative bias for Ethereum at a glance.
- The Awareness score flags unusual spikes in coverage - early-warning signals that often precede price moves.
- Extreme readings (0-20 or 81-100) historically mark periods of heightened volatility and potential reversals.
- Compare across related topics to find cross-asset divergences and correlation breakdowns.
- Pro subscribers can view 3 years of history to calibrate thresholds against past market regimes.
This index is frequently referenced alongside ethereum sentiment, ai crypto sentiment, internet eth sentiment, altcoin outlook, alternative data blockchain, ethereum price sentiment forecast - helping traders and analysts track Ethereum sentiment shifts in real time.
Latest news
Ethereum in the news
The headlines feeding this index, newest first.
Ethereum Falls Below Key Moving Averages
Ethereum is being driven lower by a combination of technical damage and risk aversion after a Binance security breach rattled crypto markets, leaving ETH below every short-term moving average even as momentum gauges move into oversold territory.
Read moreEthereum burn slows as ETH/BTC debate continues
Ethereum’s scarcity premium over Bitcoin is weakening just as traders are asking whether ETH can still regain ground against BTC.
Read moreGeorgia cloud mining draws crypto investor attention
Georgia is emerging as a low-cost crypto infrastructure hub in 2026, and that matters because the economics of digital-asset investing are shifting from pure price speculation toward yield, computing power and energy-intensive infrastructure. For investors in Bitcoin, Ethereum and Ripple, the big question is no longer only whether tokens rise, but whether the assets can be turned into a recurring stream of crypto-linked cash flow through cloud mining platforms.
Read moreEthereum delays Glamsterdam test over gas concerns
Ethereum developers have delayed the next Glamsterdam test after security researchers showed the proposed gas changes could alter how existing smart contracts behave when transactions fail, a setback that matters because it pushes back a network upgrade aimed at improving throughput without breaking the software already built on top of it.
Read moreEthereum Holds Near $2,300 as Fear Reaches Extreme
Ethereum is sitting at a make-or-break level near $2,300, and the bigger story is not the dip itself but whether this flush sets up the kind of reversal traders have been waiting for after one of the sharpest sentiment collapses of the cycle. The market is pricing in fear, not conviction, and that is exactly when aggressive buyers start looking for asymmetry.
Read moreEthereum draft proposal cuts finality to four minutes
Ethereum researchers have proposed cutting transaction finality to about four minutes from roughly 16 minutes, a change that could make the network more useful for payments, cross-chain transfers and other applications that depend on fast, reliable settlement.
Read moreStarknet Votes on Research Into Ethereum Break
Starknet’s community has opened the door to a potential break from Ethereum, a move that could reshape one of crypto’s best-known scaling ecosystems and give investors an early read on where blockchain infrastructure is headed next.
Read moreEthereum Holds Below Key Averages Near $2,432
Ethereum is stuck in a technically fragile holding pattern, with the MACD histogram flat at zero and price still trading below the 20-day and 50-day moving averages, leaving bulls with little proof that the recent slide has run its course.
Read moreEthereum Glamsterdam testing paused after contract risks
Ethereum’s next major upgrade is running into a security checkpoint, with developers suspending parts of Glamsterdam testing after 13 potential contract risks were identified just as the roadmap was set to move onto the Hoodi testnet on Oct. 26. The pause matters because it pushes back the timeline for a network that investors are counting on to prove it can expand capacity without compromising stability, at a time when ETH is already trading well below its 50-day moving average and sentiment has collapsed into extreme fear.
Read moreEthereum and stablecoins: long-term demand case
Ethereum is emerging as the biggest winner from a potential $3 trillion stablecoin boom, and that matters because the next wave of digital money would likely run through the network already doing most of the heavy lifting in tokenized dollars.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Ethereum index?
Machine-learning fear and greed signal for Ethereum - tracking DeFi activity sentiment, staking demand, network upgrade narratives, and ETH's evolving monetary premium discussions.
How is the Ethereum index calculated?
The Ethereum index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Extreme Fear) to 100 (Extreme Greed), where 50 represents neutral conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the Ethereum index updated?
The underlying data pipeline runs once per day. However, the gauge and score displayed on this page reflect a processed snapshot that may be 3–24 hours behind real-time, depending on the topic's update cadence and how quickly new data clears the processing pipeline. The exact timestamp of the data shown is visible in the gauge footer - hover the info icon to see it in your local time.
Why does the gauge show data from a few hours ago?
The gauge reflects a processed data snapshot, not a live feed. Depending on the topic, displayed values can be 3–24 hours behind real-time - fast-moving topics (crypto, equities) update more frequently, while slower-cycle topics (macro, real estate, geopolitics) may have a longer lag. The precise data timestamp is always visible in the gauge footer: hover the info icon to see it in your local time.
Why use sentiment analysis?
Sentiment uses natural language processing to analyze and quantify investors' opinions, which is different from traditional indicators like volatility (VIX), volume, or price trends. This gives you an edge over others who rely solely on price-based data.
How to interpret the figures?
The gauges show the latest indicator percentiles for the last two quarters. Values above 50 mean an upward trend, while below 50 means a downward trend. A reading above 70% signals greed, and below 30% signals fear. When price and sentiment trends diverge, it's a strong sign the trend will continue.
What does awareness represent?
Besides sentiment, we also provide a measurement of awareness - an indicator of media activity expressed as a ratio of topic-dedicated data compared to the total. Values over 50 indicate an increasing media trend and growing investors' interest; less than 50 signals decreasing attention.
What is sentiment analysis and why measure it?
Sentiment analysis is a way to determine whether a piece of text is positive, negative, or neutral. It helps understand how people feel about a topic or product, which is very important for investment, revenue management, and gauging public opinion. It adds important data points to the decision process and is valuable input for many statistical and AI models.
What are some of the key data characteristics?
Raw signals are gathered from proprietary sources covering over 50,000 outlets and ingested every 15 minutes. Processed gauge readings are derived from these signals but are displayed with a delay of 3–24 hours depending on the topic - the exact data timestamp is always shown in the gauge footer. The platform includes 5 years of history, supports 72 languages, and processes over 1 million unique entries daily. Adalytica maintains over 99.5% uptime across all products and data services.
Who benefits the most from the sentiment data?
The products are widely used across various industries, including finance, real estate, cryptocurrency, commodities, and government. They provide tailored insights for tasks like tracking voter sentiment, optimizing investment strategies, or monitoring brand perception. We offer products that are tailored for both beginners and advanced data professionals.