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

bitcoinistPublicado em 2026-02-12Última atualização em 2026-02-12

Resumo

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

Perguntas relacionadas

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.

Leituras Relacionadas

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

NEAR Returns to AI Origins: From Payroll Struggles to Blockchain, Now Focusing on AI Agents and Privacy NEAR Protocol's journey began not with grand blockchain ambitions, but from a practical hurdle: its AI startup founders, including Transformer paper co-author Illia Polosukhin, couldn't efficiently pay international developers in 2017. This led them to pivot and build a high-performance, scalable blockchain. After years navigating various crypto narratives like sharding and cross-chain interoperability, NEAR is now leveraging its AI roots to re-enter the AI arena. A key driver is its "NEAR Intents" layer, which abstracts complex cross-chain transactions. Users simply state their goal (e.g., swap BTC for ETH), and a solver network finds the optimal route. This system has processed over $20B in cross-chain volume, generating significant fee revenue. A major growth area is private transactions via "Confidential Intents/Swaps," which hide trade details until settlement to protect against MEV and front-running. Remarkably, private swaps recently accounted for over 40% of NEAR's transaction volume, highlighting strong demand but also potential regulatory scrutiny. With its AI-founder pedigree, NEAR is positioning itself at the intersection of blockchain, AI agents, and privacy, aiming to become infrastructure for the emerging agent economy while navigating the challenges of its rapid adoption.

marsbitHá 1h

Near Returns to the AI Stage: Transformation into a Public Chain Due to 'Payroll Difficulties,' Agent and Privacy Emerge as New Growth Narratives

marsbitHá 1h

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

In recent discussions, Vitalik Buterin has frequently emphasized the concept of "CROPS," a framework defining core values for Ethereum's development. CROPS stands for Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. Initially outlined in the Ethereum Foundation's "EF Mandate," it represents a commitment to user sovereignty, ensuring that the network resists external control, remains open, protects privacy, and prioritizes security. The relevance of CROPS extends beyond Ethereum's foundational principles, becoming crucial in the context of AI integration. As AI agents begin handling wallet operations and automated transactions, the risk increases that users may cede control over their digital assets, privacy, and intentions to centralized AI service providers. A "CROPS AI" would therefore emphasize local execution where possible, privacy-preserving remote model calls (e.g., using zero-knowledge proofs), and transparent, verifiable processes to maintain user agency. Vitalik highlights a significant convergence between "CROPS Ethereum access layer" and "CROPS AI." Both address the same fundamental challenge: how users can access powerful services—be it blockchain data via RPCs or AI models—without exposing sensitive information or relinquishing ultimate control. This intersection points toward a future digital entry point that is more private, secure, and user-controlled. Ultimately, CROPS is not merely an abstract ideal but a practical guidepost. It steers development—from protocol resilience and wallet design to AI agent safety—towards a future where users retain self-sovereignty even as digital systems grow more complex and powerful. In an era of accelerating AI adoption, these "slow variables" of censorship resistance, openness, privacy, and security may define Ethereum's enduring value.

marsbitHá 1h

From Ethereum to AI's 'CROPS': What Exactly is This Set of 'Slow Variables' That Vitalik Repeatedly Emphasizes?

marsbitHá 1h

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

Silicon Valley investor and "Godfather of Startups" Steve Hoffman warns that combining Web3 with AI is likely a trap, not a promising venture. In an interview, Hoffman argues that while AI is a foundational technology touching all industries, Web3 adds complexity, friction, and regulatory risk without solving mainstream consumer or business needs. He advises founders to focus on deep, specialized applications where startups can out-iterate giants, rather than on generic features easily replicated by large tech companies. Hoffman observes that Silicon Valley will lead foundational AI research, while China excels at rapid, large-scale application and commercialization, particularly in robotics. He stresses that AI-driven autonomous agents capable of collaborative, multi-step tasks are 2-4 years away, which will cause significant job displacement. The solution is not to slow AI but to redesign business models around human-AI collaboration and reform social systems like education and retraining. For startups, Hoffman recommends focusing on vertical, expertise-heavy domains to build defensibility. He sees major opportunities in AI fraud detection and cybersecurity. Key founder mindsets include systemic thinking over feature-focus, relentless customer centricity, building adaptive teams, and deeply understanding AI's capabilities and limits. Hoffman is also leading a non-profit initiative to establish university centers aimed at training future leaders in responsible, human-value-aligned AI innovation.

marsbitHá 2h

Silicon Valley 'Startup Guru' Steve Hoffman: Web3 + AI Could Be a Trap

marsbitHá 2h

Token Inefficient, Economy Tokenless

The article "Tokens Aren't Economical, Economics Aren't Tokenized" analyzes a pivotal shift in the AI industry from a technology-driven narrative to one dominated by capital efficiency. It highlights two concurrent trends: a severe capital shortage due to the exorbitant and recurring costs of compute (e.g., OpenAI's high burn rate) and a wave of corporate spin-offs where major tech companies are separating their AI units (like Kuaishou's Kling and Baidu's Kunlunxin). The core argument is that AI's "anti-internet" business model, where user growth increases costs rather than profits, has created a disconnect between high valuations and actual cash flow. Spin-offs address this by allowing AI assets to be valued independently. Within a parent company, they are seen as cost centers, but as standalone entities, they are priced based on their growth potential and scarcity in the primary market, leading to massive valuation premiums (e.g., Kling's estimated value tripling post-spin-off). The industry is at an inflection point, moving from "model worship" to "value realization." The competition is evolving from a pure compute (GPU) race to a broader focus on systemic efficiency and full-stack engineering (involving CPUs and orchestration) to achieve viable commercialization. The year 2026 is framed as a critical moment where the industry must definitively answer how to economically translate AI capability into tangible business value, reshaping the sector's future power structure.

marsbitHá 3h

Token Inefficient, Economy Tokenless

marsbitHá 3h

Trading

Spot
Futuros
活动图片