Chainlink (LINK) Bulls in Action: After a 9% Jump, Can It Push Past $10 Soon?

TheNewsCryptoPubblicato 2026-02-25Pubblicato ultima volta 2026-02-25

Introduzione

Chainlink (LINK) has surged over 9% in the past 24 hours, climbing from around $8.08 to a high of $8.91, amid a broader positive trend in the crypto market. Despite a 40% drop in daily volume, technical indicators suggest mixed signals. The MACD shows building bullish momentum within an overall bearish trend, while the CMF indicates moderate selling pressure. However, the RSI at 60.50 reflects moderate to strong bullish control, and the Bull Bear Power suggests mild bullish dominance. If bullish pressure continues, LINK could test resistance at $9.08 and potentially push toward $9.29. Conversely, a reversal may see it find support at $8.66 or drop below $8.45.

4.54% gain has settled the market cap at $2.28 trillion. Hence, all major crypto assets exhibit positive momentum, seeking to reclaim their recent highs. The brief green wave has hit the market, led by the largest assets: Bitcoin (BTC) and Ethereum (ETH). Meanwhile, Chainlink (LINK) has recorded a steady 9.07% jump over the last 24 hours.

LINK was trading on the downside, at around $8.08 in the morning hours. After the bullish pressure gained traction, the price climbed to a high of $8.91. At the time of writing, Chainlink traded at $8.87, with its daily trading volume dropping by 40.77%, reaching $379.12 million. The market has observed a liquidation of $1.11 million worth of LINK.

The price analysis of Chainlink reveals that if the bulls are ready to take up the market, the price could move higher to the $9.08 resistance. If it holds this range stable, it might climb toward $9.29 or higher. Upon the LINK’s momentum reversing, the price could drop and find support at the $8.66 level. Assuming the bears are powerful, they might push the price down, and it likely retraces below the $8.45 zone.

The 4-hour technical analysis shows that the Moving Average Convergence Divergence (MACD) line is above the signal line, and they have crossed below the zero line. This LINK crossover shows that the bullish momentum is building, with the overall bearish trend.

Besides, the Chaikin Money Flow (CMF) indicator, which is resting at -0.11, displays moderate selling pressure. With the negative value, the capital outflow outweighs the inflow. As the selling pressure is not extreme, some balance still exists in the Chainlink market.

LINK’s daily Relative Strength Index (RSI) at 60.50 indicates moderate to strong bullish momentum. As it is above the neutral level, the buyers are in control, leaving enough room for further upside. Moreover, the Bull Bear Power (BBP) reading of 0.51 suggests a mild bullish dominance. Notably, the upward momentum may build further, and the market is showing healthy buying strength.

Top Updated Crypto News

Solana (SOL) on the Rise: Will the 8% Surge Unlock the $90 Level?

TagsAltcoinChainlinkCryptocurrencyLINK

Crypto di tendenza

Domande pertinenti

QWhat was the percentage gain in Chainlink's (LINK) price over the last 24 hours mentioned in the article?

AChainlink recorded a steady 9.07% jump over the last 24 hours.

QWhat is the key resistance level that Chainlink's price could move towards if the bulls take control of the market?

AThe price could move higher to the $9.08 resistance level, and if it holds, it might climb toward $9.29 or higher.

QWhat does the daily Relative Strength Index (RSI) value of 60.50 indicate for Chainlink's market?

AAn RSI of 60.50 indicates moderate to strong bullish momentum, showing that buyers are in control and there is room for further upside.

QWhat does the negative value of the Chaikin Money Flow (CMF) indicator suggest about the Chainlink market?

AA negative CMF value of -0.11 indicates that capital outflow outweighs inflow, displaying moderate selling pressure.

QAccording to the 4-hour technical analysis, what does the MACD line's position relative to the signal and zero lines suggest?

AThe MACD line is above the signal line but they have crossed below the zero line, which shows that a bullish momentum is building within an overall bearish trend.

Letture associate

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

NVIDIA's Rubin Ultra, the top-tier variant of the newly announced Rubin AI accelerators, has reportedly seen significant specification downgrades, according to an industry report from SemiAnalysis. Initially designed with four compute dies (4-die), the Rubin Ultra is now said to be reduced to a 2-die design. Key changes highlighted in the report include: * **No increase in peak theoretical compute performance**, remaining at 35 PFLOPs like the standard Rubin. * **Severe reduction in memory capacity** to 192GB using 8-Hi HBM stacks, which is less than the standard Rubin's 288GB using 12-Hi stacks. * **Negligible memory bandwidth improvement** of only 1 TB/s. * **Slightly higher chip-level power consumption**. * The **primary upgrade is a massive increase in scale-up interconnect capacity**, supporting connections for up to 576 GPUs via NVLink, compared to 72 for the standard Rubin. The report suggests the redesign is primarily a cost-optimization move driven by the sharp rise in HBM (High-Bandwidth Memory) prices. By reducing the expensive HBM content and shifting investment towards enhanced system-scale networking, NVIDIA aims to maintain the platform's value for large-scale AI training clusters while managing soaring material costs. The news reportedly triggered a sell-off in South Korean memory stocks, with SK Hynix and Samsung shares falling around 8%, as markets grew concerned that NVIDIA—a major HBM buyer—might be reducing its reliance on high-capacity memory, potentially capping future pricing power for memory makers.

Odaily星球日报11 min fa

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

Odaily星球日报11 min fa

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.

marsbit1 h fa

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

marsbit1 h fa

Trading

Spot

Articoli Popolari

Come comprare LINK

Benvenuto in HTX.com! Abbiamo reso l'acquisto di ChainLink (LINK) semplice e conveniente. Segui la nostra guida passo passo per intraprendere il tuo viaggio nel mondo delle criptovalute.Step 1: Crea il tuo Account HTXUsa la tua email o numero di telefono per registrarti il tuo account gratuito su HTX. Vivi un'esperienza facile e sblocca tutte le funzionalità,Crea il mio accountStep 2: Vai in Acquista crypto e seleziona il tuo metodo di pagamentoCarta di credito/debito: utilizza la tua Visa o Mastercard per acquistare immediatamente ChainLinkLINK.Bilancio: Usa i fondi dal bilancio del tuo account HTX per fare trading senza problemi.Terze parti: abbiamo aggiunto metodi di pagamento molto utilizzati come Google Pay e Apple Pay per maggiore comodità.P2P: Fai trading direttamente con altri utenti HTX.Over-the-Counter (OTC): Offriamo servizi su misura e tassi di cambio competitivi per i trader.Step 3: Conserva ChainLink (LINK)Dopo aver acquistato ChainLink (LINK), conserva nel tuo account HTX. In alternativa, puoi inviare tramite trasferimento blockchain o scambiare per altre criptovalute.Step 4: Scambia ChainLink (LINK)Scambia facilmente ChainLink (LINK) nel mercato spot di HTX. Accedi al tuo account, seleziona la tua coppia di trading, esegui le tue operazioni e monitora in tempo reale. Offriamo un'esperienza user-friendly sia per chi ha appena iniziato che per i trader più esperti.

908 Totale visualizzazioniPubblicato il 2024.12.13Aggiornato il 2026.06.02

Come comprare LINK

Discussioni

Benvenuto nella Community HTX. Qui puoi rimanere informato sugli ultimi sviluppi della piattaforma e accedere ad approfondimenti esperti sul mercato. Le opinioni degli utenti sul prezzo di LINK LINK sono presentate come di seguito.

活动图片