Coinbase Users Locked Out: Unable To Buy, Sell, Or Transfer Crypto

bitcoinistPubblicato 2026-02-12Pubblicato ultima volta 2026-02-12

Introduzione

Coinbase experienced a significant service disruption on Wednesday, preventing users from buying, selling, or transferring cryptocurrency. The outage occurred just before the company's Q4 2025 earnings report, causing its stock (COIN) to drop 8% to $140. Coinbase acknowledged the issue on social media, deployed a fix, and assured users that funds were secure, but did not disclose the root cause. Ahead of earnings, Monness Crespi double-downgraded COIN from buy to sell, citing a $120 price target and predicting continued weakness in the crypto market.

Cryptocurrency exchange Coinbase (COIN) experienced an unexpected service disruption on Wednesday, just hours before the company is scheduled to report its fourth‐quarter 2025 earnings.

The outage left users temporarily unable to buy, sell, or transfer digital assets on the platform, triggering concern among customers and adding pressure to the company’s stock.

Platform Disruption Hits Coinbase

In a post on X (previously Twitter) Coinbase acknowledged the issue, stating that some customers were unable to conduct transactions on the platform. The company assured users that it was investigating the problem and emphasized that customer funds remained secure.

Shortly afterward, Coinbase Support announced that a fix had been deployed and that teams were monitoring the platform to ensure services were fully restored. However, the company did not provide details about the root cause of the disruption or explain what led to the interruption in trading activity.

Coinbase shares (COIN) fell sharply during Wednesday’s trading session. As of this writing, the stock is trading at $140, marking an 8% decline over the past several hours. The drop comes as analysts prepare for what many expect to be a challenging fourth‐quarter report.

The daily chart shows COIN’s valuation drop. Source: COIN on TradingView.com

$120 Price Target Issued For COIN

Research firm Monness Crespi took a notably cautious stance ahead of the earnings announcement. The firm issued a double downgrade on Coinbase stock, moving its rating from buy to sell.

Analyst Gus Gala described earlier expectations of a steady recovery through 2026 as “foolish,” citing the historical depth and duration of crypto bear markets.

Monness Crespi now anticipates continued weakness through the first half of the year and has revised its 2026 and 2027 projections to levels below Wall Street consensus estimates. Gala also set a $120 price target for the stock, suggesting that more attractive entry points may emerge later.

Featured image from OpenArt, chart from TradingView.com

Domande pertinenti

QWhat was the main issue that Coinbase users experienced according to the article?

ACoinbase users were temporarily unable to buy, sell, or transfer digital assets on the platform due to an unexpected service disruption.

QWhat action did Coinbase take to address the service disruption?

ACoinbase acknowledged the issue on X, investigated the problem, deployed a fix, and had teams monitoring the platform to ensure services were fully restored.

QHow did the service disruption affect Coinbase's stock (COIN) price?

ACoinbase shares fell sharply, trading at $140 and marking an 8% decline during Wednesday's trading session.

QWhich research firm issued a double downgrade and a $120 price target for Coinbase stock?

AResearch firm Monness Crespi issued a double downgrade, moving its rating from buy to sell, and set a $120 price target for the stock.

QWhat reason did analyst Gus Gala give for the cautious stance on Coinbase's recovery expectations?

AAnalyst Gus Gala described earlier expectations of a steady recovery as 'foolish,' citing the historical depth and duration of crypto bear markets.

Letture associate

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit9 h fa

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit9 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit10 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit10 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit11 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit11 h fa

Trading

Spot
Futures
活动图片