Chainlink (LINK) Weakens: Is a Breakdown Below $6 Imminent?

TheNewsCrypto2026-03-19 tarihinde yayınlandı2026-03-19 tarihinde güncellendi

Özet

Large whale accumulation of over 3.12 million LINK tokens in the past week suggests growing confidence and tightening supply, potentially supporting upside momentum. However, Chainlink's price has weakened, declining from an intraday high of $9.86 to $9.15, with trading volume up 20.16%. Technical indicators point to bearish pressure: MACD is below zero, CMF at -0.21 indicates selling pressure, RSI at 35.37 shows bearish momentum, and Bull Bear Power reads -0.57, signaling bear dominance. Key support lies at $9.09, with potential further decline if bearish pressure continues. Resistance is at $9.21, with a breakout above $9.27 possible if bullish sentiment returns.

Whales have accumulated around 3.12 million LINK tokens over the past week, signalling growing confidence. When large holders start adding to their positions, it usually signals confidence in the asset’s potential to move higher. At the same time, this kind of accumulation tightens the available supply in the market, which can naturally push prices up if demand stays consistent.

In the near term, this can help keep the momentum on the upside. That said, the overall direction still depends on broader market sentiment. If buying interest continues and retail traders step in, Chainlink could be setting up for a breakout or a steady upward trend.

The asset opened the day trading at a high of $9.86, and with the bearish turn, the LINK price has slipped to $9.10. At press time, it trades at $9.15, with the trading volume soaring by 20.16% to $758.35 million. Meanwhile, the market observed a liquidation of $1.15 million worth of Chainlink.

Chainlink’s active downside trading pattern has the potential to push the price toward the support at $9.09. If the bearish correction strengthens, the death cross might emerge, and the price would head to $9.03 or even lower. On the upside, upon the reversal of LINK’s ongoing momentum, the price could climb to the resistance at the $9.21 range. Assuming the bullish pressure escalates, the golden cross might form and send the price above $9.27.

Chainlink’s Technical Setup Turns Negative: Will the Slide Continue?

The Moving Average Convergence Divergence (MACD) line of Chainlink is below the zero line, and the signal line is positioned above it. Thus, the broader trend is weak, but the recent price action is trying to stabilise or turn upward. Notably, the market is in a transition phase.

LINK’s Chaikin Money Flow (CMF) indicator value of -0.21 exhibits clear selling pressure. The money is flowing out of the asset, and there is no strong buying to hold the price up. The market is heavy and struggling to move higher unless fresh buying steps in.

Moreover, the daily Relative Strength Index (RSI) at 35.37 displays that the momentum is tilting bearish, with the sellers having the upper hand. The price has been drifting lower, not in an extremely oversold condition, and the market still has room to the downside if the pressure continues.

Chainlink’s Bull Bear Power (BBP) reading found at -0.57 shows significant bearish dominance. It likely pushes the price below its average level, and the downside move has enough strength. The market is heading lower, and unless the buyers step in, the weakness could continue.

Top Updated Crypto News

Bitcoin (BTC) Struggles to Hold Ground: Are Bears Gaining Full Control?

Trend Kriptolar

CitreaCTR

wrapped stUSDTWSTUSDT

Velodrome FinanceVELODROME

BrevisBREV

PancakeSwapCAKE

JUSTJST

İlgili Okumalar

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist49 dk önce

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist49 dk önce

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit49 dk önce

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit49 dk önce

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit54 dk önce

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit54 dk önce

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 saat önce

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 saat önce

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 saat önce

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 saat önce

İşlemler

Spot

Popüler Makaleler

LINK Nasıl Satın Alınır

HTX.com’a hoş geldiniz! ChainLink (LINK) satın alma işlemlerini basit ve kullanışlı bir hâle getirdik. Adım adım açıkladığımız rehberimizi takip ederek kripto yolculuğunuza başlayın. 1. Adım: HTX Hesabınızı OluşturunHTX'te ücretsiz bir hesap açmak için e-posta adresinizi veya telefon numaranızı kullanın. Sorunsuzca kaydolun ve tüm özelliklerin kilidini açın. Hesabımı Aç2. Adım: Kripto Satın Al Bölümüne Gidin ve Ödeme Yönteminizi SeçinKredi/Banka Kartı: Visa veya Mastercard'ınızı kullanarak anında ChainLink (LINK) satın alın.Bakiye: Sorunsuz bir şekilde işlem yapmak için HTX hesap bakiyenizdeki fonları kullanın.Üçüncü Taraflar: Kullanımı kolaylaştırmak için Google Pay ve Apple Pay gibi popüler ödeme yöntemlerini ekledik.P2P: HTX'teki diğer kullanıcılarla doğrudan işlem yapın.Borsa Dışı (OTC): Yatırımcılar için kişiye özel hizmetler ve rekabetçi döviz kurları sunuyoruz.3. Adım: ChainLink (LINK) Varlıklarınızı SaklayınChainLink (LINK) satın aldıktan sonra HTX hesabınızda saklayın. Alternatif olarak, blok zinciri transferi yoluyla başka bir yere gönderebilir veya diğer kripto para birimlerini takas etmek için kullanabilirsiniz.4. Adım: ChainLink (LINK) Varlıklarınızla İşlem YapınHTX'in spot piyasasında ChainLink (LINK) ile kolayca işlemler yapın.Hesabınıza erişin, işlem çiftinizi seçin, işlemlerinizi gerçekleştirin ve gerçek zamanlı olarak izleyin. Hem yeni başlayanlar hem de deneyimli yatırımcılar için kullanıcı dostu bir deneyim sunuyoruz.

968 Toplam GörüntülenmeYayınlanma 2024.12.13Güncellenme 2026.06.02

Tartışmalar

HTX Topluluğuna hoş geldiniz. Burada, en son platform gelişmeleri hakkında bilgi sahibi olabilir ve profesyonel piyasa görüşlerine erişebilirsiniz. Kullanıcıların LINK (LINK) fiyatı hakkındaki görüşleri aşağıda sunulmaktadır.