Chainlink slips below $11 after 22% sell-off – Can LINK bulls defend THIS zone?

ambcryptoОпубликовано 2026-02-01Обновлено 2026-02-01

Введение

Chainlink (LINK) experienced a sharp 22% sell-off in late January 2026, breaking below its key $10.6–$11.75 support zone and causing its RSI to hit multi-year lows. The decline occurred amid a broader crypto market downturn. Despite the price weakness, on-chain data showed persistent buying interest, with the Taker Buy Dominant metric remaining high, suggesting accumulation by institutional investors. Liquidity clusters were identified near $12, which could serve as a potential stabilization zone. Additionally, the surge in LINK's Total Supply in Loss to around 400 million tokens has historically preceded market bottoms, indicating a potential price reversal may be near.

Chainlink fell 22% in the final days of January 2026, raising questions about the durability of its multi-month uptrend.

The sell-off decisively broke the $10.6–$11.75 support zone, a range that had held since mid-November 2025 and aligned with key Fibonacci Retracement levels.

That breakdown coincided with LINK’s Relative Strength Index (RSI) dropping to its lowest level since 2022.

The move unfolded alongside a broader market drawdown, as Bitcoin fell below $85,000, amplifying risk-off pressure across altcoins.

Even so, the decline forced traders to reassess whether the move marked capitulation or the start of a deeper correction.

Taker buying persisted despite price weakness

According to CryptoQuant data, despite Chainlink’s [LINK] sharp drop to $13 in November 2025, the Taker Buy Dominant metric stayed elevated, reflecting relentless buying pressure. That said, institutional investors saw LINK as undervalued, which fueled continued accumulation even as prices fell.

This ongoing buying interest clearly showed that Chainlink’s potential wasn’t being overlooked.

Liquidity built near $12 as downside slows

CoinGlass Liquidation Heatmaps highlighted dense liquidity clusters between $12 and $13 during the late-January sell-off. Price repeatedly interacted with this zone before stabilizing near the lower end of the range.

A reclaim above $11 could attract liquidity-seeking flows and force short-covering, potentially opening a path back toward $13. Until then, sellers retained control of the broader trend.

Supply in loss surged toward historical extremes

According to Glassnode analysts, the total supply of LINK in loss surged to around 400 million. This spike indicates that a large portion of LINK holders are currently underwater.

Historically, spikes in this metric have been precursors to market bottoms and subsequent recoveries.

For instance, during the 2022 market downturn, a similar surge in Total Supply in Loss preceded a strong price rebound.

Given that Chainlink remains a crucial infrastructure component with strong utility in the blockchain ecosystem, these signs point to a nearing bottom. Could LINK’s price soon reverse?

Final Thoughts

Despite Chainlink breaking below the $11 support zone, Spot Taker CVD remained buy-dominant.
Total Supply in Loss climbed toward 400 million LINK, placing a large share of holders underwater.

Связанные с этим вопросы

QWhat was the key support zone that Chainlink broke during the sell-off, and why was it significant?

AThe key support zone was $10.6–$11.75. It was significant because it had held since mid-November 2025 and aligned with key Fibonacci Retracement levels.

QWhat on-chain metric suggested persistent buying pressure for LINK despite the price drop?

AThe Taker Buy Dominant metric from CryptoQuant stayed elevated, reflecting relentless buying pressure and suggesting institutional investors saw LINK as undervalued.

QAccording to the liquidation heatmaps, which price zone had dense liquidity clusters that could influence a potential rebound?

ACoinGlass Liquidation Heatmaps highlighted dense liquidity clusters between $12 and $13, where price repeatedly interacted before stabilizing.

QWhat does a surge in the 'Total Supply in Loss' metric historically indicate for the market, according to the article?

AHistorically, spikes in the 'Total Supply in Loss' metric have been precursors to market bottoms and subsequent recoveries, as seen during the 2022 downturn.

QWhat broader market event amplified the selling pressure on altcoins like Chainlink?

AThe broader market drawdown, where Bitcoin fell below $85,000, amplified risk-off pressure across altcoins.

Похожее

Bitcoin ETFs Rout Extends To June With $1.72 Billion Net Outflows In First Week

U.S. Bitcoin spot ETFs extended their downturn into early June, recording net outflows of approximately $1.72 billion from June 1-5 following a poor May. This trend reflects sustained bearish sentiment, with only one day of positive net inflows in the past 15 trading sessions. BlackRock's IBIT led the withdrawals with $1.34 billion in outflows, while most other major funds also saw redemptions. Total ETF net assets fell over 20% to $75.12 billion. In parallel, Ethereum spot ETFs saw net outflows of $168 million, indicating investor caution amid macroeconomic uncertainty. Bitcoin's price hovered around $61,592 at press time.

bitcoinist47 мин. назад

Bitcoin ETFs Rout Extends To June With $1.72 Billion Net Outflows In First Week

bitcoinist47 мин. назад

Zcash Suffers Historic Collapse As Billions Vanish From Market Value

Zcash, a privacy-focused cryptocurrency, suffered a historic collapse in price, losing over 50% of its value in 24 hours and erasing billions from its market cap. The dramatic sell-off was triggered by the disclosure of a major vulnerability in the Zcash Orchard privacy pool that had remained undetected since May 2022. A security researcher, using AI, developed a proof-of-concept to generate counterfeit ZEC. While the bug was patched by June 2, Zcash's privacy design makes it impossible to verify if any fake coins were minted before the fix, fueling market panic and uncertainty. This event highlights the trade-off between privacy and transparency. In response, Shielded Labs is exploring a network upgrade to allow supply verification. Despite the crisis, proponents argue that the discovery by world-class security researchers demonstrates the network's commitment to proactive hardening and resilience.

bitcoinist4 ч. назад

Zcash Suffers Historic Collapse As Billions Vanish From Market Value

bitcoinist4 ч. назад

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbit5 ч. назад

Has the 'Digital Gold' Narrative for BTC Failed?

marsbit5 ч. назад

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手5 ч. назад

Has BTC's 'Digital Gold' Narrative Failed?

链捕手5 ч. назад

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit5 ч. назад

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit5 ч. назад

Торговля

Спот

Фьючерсы

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на LINK (LINK) представлены ниже.

Chainlink slips below $11 after 22% sell-off – Can LINK bulls defend THIS zone?

Введение

Taker buying persisted despite price weakness

Liquidity built near $12 as downside slows

Supply in loss surged toward historical extremes

Final Thoughts

Связанные с этим вопросы

Похожее

Bitcoin ETFs Rout Extends To June With $1.72 Billion Net Outflows In First Week

Zcash Suffers Historic Collapse As Billions Vanish From Market Value

Has the 'Digital Gold' Narrative for BTC Failed?

Has BTC's 'Digital Gold' Narrative Failed?

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

Торговля

Популярные статьи

Как купить LINK

Обсуждения

Топ вопросы

Популярные категории

Популярные теги