Ethereum fails at $2.5K: How $466M in liquidations crushed ETH

ambcryptoPublished on 2026-02-06Last updated on 2026-02-06

Abstract

On February 5th, Ethereum (ETH) experienced a significant price drop, falling 14.96% from $2,148 to $1,826. This decline triggered $466.4 million in liquidations, with the majority being long positions. Market sentiment was at "extreme fear," with the Fear and Greed Index hitting a low of 11. ETH's performance against Bitcoin reached a three-year low, and it fell below the key psychological level of $2,000. Technical analysis showed strong bearish momentum, with ETH breaking below the crucial $2,500 demand zone and the $2,100 weekly swing point. The RSI entered oversold territory, and the On-Balance Volume (OBV) indicated heavy selling pressure. Liquidation heatmaps revealed that the recent drop wiped out significant liquidity around $2,000, with potential magnetic zones further south near $1,500. Despite the possibility of a bounce to $2,400 or even $2,700-$2,900, traders are advised to remain cautious. The lack of bullish response at key levels suggests further downside risk, and any short-term recovery may be an opportunity to sell before another bearish move.

On the 5th of February, Ethereum [ETH] witnessed $466.4 million in liquidations, with $382 million of them being long. On the day, ETH prices fell 14.96%, from $2,148 to $1,826.

Crypto market sentiment was in extreme fear. The Fear and Greed index reached 11, a low not seen since 2023. AMBCrypto reported that sub-20 readings on the index represent heightened stress, forced selling, and broad de-risking.

The ETH/BTC was at a 3-year low, representing the severe underperformance of the leading altcoin against the leading crypto. The $2k level was at high risk, noted aMBCrypto, and Ethereum has slid below this key psychological level since then.

Plotting the ETH path so far

On the 1-day chart, the strength of the bears was very evident. In May and June last year, ETH consolidated around $2,500 for a few weeks before catapulting higher in July. In November, the same area was tested as support and saw a bounce.

The subsequent retest over the past week saw no noticeable reaction from ETH bulls. The price bulldozed its way below the $2.5k demand zone and also beyond the weekly swing point at $2.1k.

The RSI was in oversold territory. The 18.68 daily RSI value on the 5th of January was the lowest since August 2024. The OBV also made a new low, reflecting heavy sell volume.

Can THESE zones drag ETH prices higher?

The liquidity to the south has been nearly wiped out, showed the 1-month lookback period liquidation heatmap. Zooming out even further, the 1-year heatmap agreed. A massive pocket of liquidations around the $2k price level was taken out during the recent dip.

The magnetic zones further south were at $1,500 and lower. Meanwhile, the $2,400 and the $2,700-$2,900 areas had some liquidations that the price could target, showed the 1-month heatmap.

Why Traders should sell the bounce

The lack of response at the $2.4k demand zone highlighted bearish dominance. A further drop toward $1.5k remains possible, so swing traders looking to catch any ETH bounce should be wary.

The $2.1k and $2.4k levels were likely to be revisited in the coming weeks. Traders can be prepared for a bearish reaction at these levels.


Final Thoughts

  • Ethereum raced past key demand zones over the past week’s relentless selling pressure.
  • It is possible that ETH would bounce to $2.4k in the coming weeks before its next bearish impulse move.

Disclaimer: The information presented does not constitute financial, investment, trading, or other types of advice and is solely the writer’s opinion.

Related Questions

QWhat was the total value of liquidations Ethereum witnessed on February 5th, and how much of that were long positions?

AEthereum witnessed $466.4 million in liquidations on February 5th, with $382 million of them being long positions.

QWhat key psychological price level did Ethereum fall below, and what was the low point of the Fear and Greed Index on that day?

AEthereum fell below the key psychological level of $2,000. The Fear and Greed Index reached a low of 11, indicating extreme fear in the market.

QAccording to the 1-day chart, what was the significance of the $2,500 price level for ETH in the past, and how did the price react during its most recent retest?

AIn May and June of the previous year, ETH consolidated around $2,500 before moving higher in July. It was tested as support again in November and saw a bounce. However, during the most recent retest, there was no noticeable reaction from ETH bulls, and the price fell below it.

QWhat are the two 'magnetic zones' to the south that the liquidation heatmap identified as potential price targets for a further drop?

AThe two magnetic zones to the south identified for a potential further drop are $1,500 and lower.

QWhat is the article's trading advice for swing traders regarding any potential bounce in Ethereum's price?

AThe article advises swing traders to be wary and to sell the bounce, as a further drop toward $1.5k remains possible. It suggests that traders can prepare for a bearish reaction if the price revisits the $2.1k or $2.4k levels.

Related Reads

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

On June 11, Anthropic apologized not for a model failure, but for a lack of transparency. Its new Claude Fable 5 model was found to be secretly rerouting requests from users engaged in advanced AI model development to a weaker version, Opus 4.8, without any notification. The company's response—promising future notifications for such "downgrades"—was met with user skepticism. The article argues the core issue isn't technical but commercial: Anthropic's "safety" measures are primarily a business strategy. A key feature, the "intelligent safety classifier," marketed as user protection, is described as a tool for "competitive defense" to protect Anthropic's market lead by limiting rivals' research capabilities. This covert mechanism was designed for low "false positives," precisely targeting AI researchers. Anthropic's model involves a calculated three-step process: publishing alarming security research to amplify public anxiety, offering its Fable 5 model with a "safety classifier" as a premium-priced solution, and cashing in through a planned high-value IPO. This contrasts with OpenAI's more direct "tool-and-traffic" approach. The apology, merely changing a secret downgrade to a visible one, is seen as a business "patch" rather than a principled shift. The incident risks damaging Anthropic's "safest AI" reputation among the developer community, which underpins its valuation and appeal to government and corporate clients. Ultimately, the article concludes that for Anthropic, safety is a business, and the apology is merely customer service for that business.

marsbit49m ago

Anthropic Apologized, But the Business of 'Safety' Hasn't Stopped

marsbit49m ago

The Niche Consensus Among Elites: Has College Become an Expensive Waste?

**Summary:** A growing "anti-college" movement is gaining traction among elite circles in Silicon Valley, challenging the traditional value of a four-year university degree. Proponents argue that college has become an expensive, slow, and increasingly irrelevant waste of time, especially in the fast-paced tech world where opportunities pass by quickly. The movement is led by figures like billionaire Peter Thiel, who criticizes universities for high costs, ideological indoctrination, and stifling true innovation. His "Thiel Fellowship" pays young people to drop out and pursue ventures. Companies like Palantir Technologies (co-founded by Thiel) fuel this trend with programs like the "Meritocracy Fellowship," which offers high school graduates paid internships as an alternative to immediate college enrollment, promising a practical "Palantir Degree." Key drivers include: 1. **Economics:** Skyrocketing student debt versus the allure of immediate, high-paying tech jobs or startup funding. 2. **Technology:** AI and online tools lowering barriers to self-education and product development, making formal instruction seem inefficient. 3. **Culture:** A backlash against perceived "woke" ideology and DEI policies in universities, coupled with a belief that these institutions suppress meritocracy and masculine drive. The movement is notably male-dominated. Critics, like economist David Deming, warn against overgeneralizing from dropout success stories (survivorship bias). He emphasizes that genuine autodidacts are rare, corporate training is narrowly focused, and the "college wage premium" remains high for most people. University liberal arts education, he argues, builds adaptable problem-solving skills and broad perspectives. The debate highlights a deeper crisis in education. The core model of the modern university appears increasingly mismatched with the speed of the information age. The movement signals a shift in the locus of learning from institutional "education" to personal, active "learning" powered by the internet and AI. Ultimately, this may not mean the end of university, but rather a painful evolution. The future likely holds more hybrid, personalized, and lifelong learning pathways. The central question becomes: in a world changing faster than any curriculum, how do we best learn?

marsbit1h ago

The Niche Consensus Among Elites: Has College Become an Expensive Waste?

marsbit1h ago

From Subsidies to Token-Based Pricing to Price Cuts: Is OpenAI Sparking a Price War? Is the Inflection Point for Token Economics Nearing?

The commercialization of generative AI is facing a critical inflection point as a potential price war looms. According to The Wall Street Journal, OpenAI is considering a significant cut to its token fees to compete with rival Anthropic, signaling a shift from a growth-at-all-costs model focused on token consumption. This move comes as both companies, reportedly losing billions on compute, prepare for IPOs, and as enterprise customers face "bill shock" from switching to usage-based token billing. Reports indicate poor ROI, with one analysis finding only 18 cents of every dollar spent on AI tokens generates user-facing value. The industry's initial phases—from flat-rate subscriptions to aggressive subsidies—have given way to a reckoning with real costs. Analysts debate the future: some predict a bifurcation between premium, high-cost models for complex tasks and cheaper alternatives for routine work, while others believe overall spending will still rise as agentic AI increases tokens per task. Notably, Chinese model DeepSeek's low-cost API is gaining traction with U.S. enterprises, adding competitive pressure. The core challenge is redefining value beyond token volume ("tokenmaxxing") toward measurable productivity ("valuemaxxing"), as the entire AI value chain, from cloud providers to chipmakers, feels the ripple effects of unsustainable pricing.

marsbit1h ago

From Subsidies to Token-Based Pricing to Price Cuts: Is OpenAI Sparking a Price War? Is the Inflection Point for Token Economics Nearing?

marsbit1h ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片