Crypto Fear & Greed Index Stuck in Extreme Fear at 13

TheNewsCryptoPublished on 2026-02-17Last updated on 2026-02-17

Abstract

The Crypto Fear and Greed Index remains in the "Extreme Fear" zone with a current score of 13, reflecting persistently negative market sentiment. This follows a yearly low of 5 on February 6, 2026. The prolonged fear is largely attributed to the "10/10" event on October 10, 2025, which triggered the largest liquidation event in crypto history—over $19 billion in leveraged positions across 1.6 million accounts were liquidated in a single day. Bitcoin fell 14%, and altcoins suffered even steeper losses, exposing structural vulnerabilities in derivatives markets, thin liquidity, and over-leverage. Despite this bleak retail sentiment, institutional players like BlackRock and Citadel continue to expand their involvement in DeFi and tokenization, creating a divergence between retail fear and institutional conviction. The index had previously reached an all-time high of 76 ("Extreme Greed") on May 23, 2025.

The Crypto Fear and Greed Index on CoinMarketCap has been witnessing an extreme fear situation since the beginning of this month. On February 6, 2026, it hit its yearly low, standing at a reading of 5 and in an extreme fear zone.

This indicates a market sentiment environment that has decreased heavily in the last few months. The index comprises a composite sentiment gauge that collects signals over volatility, market momentum, social media activity, dominance and search trends, pouring them into a single score between 0 and 100, showing extreme fear and extreme greed, respectively.

At the time of writing, the score is 13, which makes it still sit in an extreme fear zone. On May 23, 2025, the index hit its all-time high, standing at a whopping score of 76 and indicating an extreme greed situation.

The Prolonged Reason

The extended fall into the fear zone takes place for the major part of the events of October 10, 2025, commonly referred to as “10/10”. The events on that single day influenced the largest liquidation event in the history of the crypto industry, having more than $19 billion in leveraged positions shut within one day over 1.6 million accounts.

Bitcoin slipped about 14% on that day, and altcoins witnessed more tough exhaustion. The fall revealed structural vulnerabilities in crypto derivative markets, thin liquidity, over cross-margin leverage, and exchange infrastructure that fastened under the load, and sentiment hasn’t sufficiently recovered since then.

The latest reading is noteworthy because of its divergence from current institutional developments. Major traditional finance players such as BlackRock, Citadel and others carries on to intensify their engagement with DeFi and tokenisation, and wider real-world asset adoption projects carries on to make notable

Retail sentiment with institutional conviction is running on various time horizons currently, a dynamic worth overlooking as markets search for a platform.

Highlighted Crypto News Today:

The Rise of Layer 3: How Application-Specific Layers Are Powering Specialized DeFi Innovation

TagsBitcoinCoinMarketCapcrypto fear and greed

Related Questions

QWhat is the current reading of the Crypto Fear and Greed Index and what sentiment zone does it represent?

AThe current reading is 13, which represents an extreme fear zone.

QWhat was the primary cause of the market's prolonged period of extreme fear, according to the article?

AThe primary cause was the events of October 10, 2025 (10/10), which triggered the largest liquidation event in crypto history and revealed structural vulnerabilities in the market.

QWhat was the all-time high score of the index and when was it reached?

AThe index reached its all-time high score of 76, indicating extreme greed, on May 23, 2025.

QWhat is the significance of the current market sentiment reading in relation to institutional activity?

AThe current extreme fear reading is noteworthy because it diverges from ongoing institutional developments, where major finance players are increasing their engagement with DeFi and tokenization.

QWhat are the five signals that the Crypto Fear and Greed Index collects to create its composite score?

AThe index collects signals from volatility, market momentum, social media activity, dominance, and search trends.

Related Reads

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit6m ago

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit6m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a 30-day rolling net outflow. With inflation at 4.2% above the Fed's target, combined hawkish policy, seasonal factors, and liquidity shortages challenge Bitcoin's ability to hold above $60,000. However, this adjustment phase may be forming a cyclical low this summer, potentially setting the stage for the next bull cycle.

marsbit35m ago

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbit35m ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbit1h ago

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbit1h ago

Trading

Spot
Futures
活动图片