Crypto Fear and Greed Index Drops to Extreme Fear at 9

TheNewsCryptoPublicado a 2026-02-09Actualizado a 2026-02-09

Resumen

The Crypto Fear and Greed Index by CoinMarketCap has dropped to 9, indicating a state of "extreme fear" in the market sentiment. This marks a significant decline from 15 a week ago and 41 a month prior. The index hit a yearly low of 5 on February 6. Despite the persistently high market cap, sentiment has shifted aggressively. Bitcoin is trading around $70,505, Ethereum at $2,096, and Solana between $86.2 and $88.6. The overall crypto market cap has rebounded to over $2.4 trillion. The index, which ranges from 0 (extreme fear) to 100 (extreme greed), is a widely referenced tool for quantifying market sentiment.

The sentiment of crypto has changed to panic, and the gauge of CoinMarketCap has turned red now. The CMC Crypto Fear and Greed Index of the platform is at 9, taking it to an extreme fear situation.

One week before, the number was 15 and was neutral with 41 in the last month. On February 8, the score stood at 8, and on February 6, the score hit a yearly low, sitting at 5. It also highlighted how aggressively sentiment has shifted regardless of a persistently high market cap backdrop.

CoinMarketCap has mentioned that the tool is a powerful tool for analysing market sentiment to aid investors in informing crypto investment decisions, referring to it as the most trustworthy measure of total crypto market sentiment and the number 1, most quoted and most trusted index of its kind among mainstream financial outlets.

The Significant Pricing

The index contains a 0-100 scale, and here the lower value shows an extreme fear state and the higher value shows an extreme greed state, successfully quantifying what many traders only feel subjectively in price action.

As the rollout note mentions, this revolutionary index offers a broad-ranging and quantifiable assessment of fear and greed for the overall cryptocurrency industry. The spot markets show that Bitcoin trades around $70,505 with around $42.8 billion in 24-hour volume.

Ethereum is now trading at $2,096 on around $20.9 billion in turnover. The price of Solana sits at $86.2 and $88.6. The pricing situation aligns with a wider rebound in virtual assets, with BTC recently reclaiming the $71,000 area after last week’s failure and overall crypto market capitalisation shifting back over $2.4 trillion. CoinMarketCap makes it clear that the Fear and Greed Index is not a clear indicator in itself but can offer a useful measure of the market sentiment.

Highlighted Crypto News Today:

Japan Election Result Drive Possible Bull Run for Crypto Prices

TagsCoinMarketCapcrypto fear and greedCryptocurrency

Preguntas relacionadas

QWhat is the current reading of the CoinMarketCap Crypto Fear and Greed Index and what does it signify?

AThe current reading is 9, which signifies an 'Extreme Fear' situation in the market.

QHow does the current Fear and Greed Index reading compare to its value from one week ago and one month ago?

AOne week ago, the index was at 15 (Neutral), and one month ago it was at 41.

QWhat is the purpose of the Crypto Fear and Greed Index according to CoinMarketCap?

AAccording to CoinMarketCap, it is a powerful tool for analyzing market sentiment to aid investors in making crypto investment decisions, and it is considered the most trustworthy and quoted measure of total crypto market sentiment.

QWhat do the values on the 0-100 scale of the index represent?

AOn the 0-100 scale, a lower value indicates an extreme fear state, while a higher value indicates an extreme greed state.

QWhat was the approximate price of Bitcoin and the total crypto market capitalization mentioned in the article?

ABitcoin was trading around $70,505, and the overall crypto market capitalization had shifted back over $2.4 trillion.

Lecturas Relacionadas

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbitHace 6 min(s)

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbitHace 6 min(s)

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

The author, awaiting potential inclusion on an 8000-person layoff list, analyzes the true nature of recent "AI-driven" layoffs. They argue that while AI use, particularly tools like Claude for code generation, has skyrocketed and boosted developer output (e.g., 2-5x more code commits), this has not translated into proportional business growth or revenue. The core issue is a misalignment between increased "Input" (code) and tangible "Outcomes" (user value, revenue). AI acts as a costly B2B SaaS, inflating operational expenses without guaranteed returns. Two key problems emerge: 1) The friction that once filtered out bad ideas is gone, as AI allows cheap pursuit of even weak concepts. 2) Organizational "alignment tax"—the difficulty of coordinating across teams—becomes crippling when development velocity outpaces consensus-building. Thus, layoffs serve two immediate purposes: 1) To offset ballooning AI costs (Token consumption) and maintain cash flow, as rising input costs without outcome growth destroys unit economics. 2) To reduce organizational bloat and alignment friction by simply removing teams, thereby speeding up execution in the short term. Therefore, these layoffs are fundamentally caused by AI, even if AI doesn't directly replace roles. They represent a painful correction until companies learn to convert AI-driven productivity into real business outcomes and streamline organizational coordination to match the new pace of work. The cycle will continue until this learning curve is mastered.

marsbitHace 1 hora(s)

The Essence of AI Layoffs: Why More AI Adoption Leads to More Corporate Anxiety?

marsbitHace 1 hora(s)

Trading

Spot
Futuros
活动图片