Today's Cryptocurrency Prices by Market Caps
The global cryptocurrency market cap today i $2.26T
Market Cap
$2.26T
24h Trading Volume
$70.20B
BTC Dominance
56.46%
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Latest Crypto News
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Deribit: Risk Appetite Collapses — Traders Stay Hedged as BTC Holds Above $60K
Deribit: traders are wary as derivatives data shows risk appetite evaporating after the sell-off Deribit’s June 11 analytics report paints a cautious picture: crypto derivatives desks have sharply dialed back risk after a near-20% spot drop, leaving Bitcoin price action looking calmer above $60,000 while professional positioning remains defensive. Key takeaways - Block Scholes’ Risk Appetite Index — a proprietary Deribit gauge — plunged well below 0.05, signaling a collapse in demand for risk compared with more constructive periods. Readings under 0.05 point to an unusually cautious market. - The fall in the index coincided with the longest consecutive outflow streak from spot Bitcoin ETFs since their launch, reinforcing the message that institutional demand softened during the sell-off. - Bitcoin options show a partial recovery but not a full reset: BTC 25-delta risk reversals moved to roughly -9%, up from about -19% five days earlier when spot dipped under $60,000. The persistent negative skew means traders still price downside protection higher than upside calls. - Ethereum derivatives also look pressured: ETH funding rates have been negative since June 5, indicating a bearish tilt in perpetual swap markets. While negative funding can precede a short squeeze if prices rebound, it currently reflects more willingness among leveraged traders to pay to hold bearish exposure. - On corporate activity, Deribit flagged disclosures from Strategy Inc.: a small 32 BTC sale was reported, followed by a later purchase of 1,550 BTC (about $103.1 million). Because Strategy’s moves are often watched as a proxy for corporate demand, these trades are notable, but they haven’t shifted the broader cautious derivatives picture. - Broader context: ETH spot sits about 66% below its August 2025 record high, a large drawdown that helps explain fragile sentiment even as prices stabilize short-term. What it means On the surface, Bitcoin’s consolidation above $60,000 may look like stability returning. But derivatives metrics tell a subtler story: professional traders are keeping hedges in place and not yet committing to aggressive bullish exposure. For a genuine return of risk appetite, markets would likely need to see sustained inflows into spot BTC ETFs and a normalization of options skew (less negative risk reversals). For Ethereum, attention will center on whether negative funding persists or normalizes. Persistent negative funding keeps a bearish bias alive; normalization could signal short-covering or renewed confidence. Bottom line Deribit’s latest analytics suggest crypto markets are still in repair mode. Price action may have stopped the immediate slide, but institutional and derivatives positioning remain cautious rather than confident — leaving the market’s next leg (recovery or another decline) still an open question. Read more AI-generated news on: undefined/news
Strategy Inc. Adds 1,550 BTC for $101M via ATM Sales — Raises $1B Cash Reserve
Strategy Inc. — the company formerly known as MicroStrategy — quietly added more Bitcoin to its treasury in early June, according to a June 8 Form 8‑K filing, underscoring that its BTC accumulation remains active even as the firm juggles equity issuance, preferred stock obligations and cash-reserve management. Key facts from the filing - Between June 1 and June 7, Strategy purchased ~1,550 BTC for roughly $101.3 million, an average price of about $65,332 per coin (including fees and expenses). - As of June 7, the company reported total holdings of 845,256 BTC, with an aggregate acquisition cost near $44.1 billion and an average cost per BTC of about $52,173. - The June purchases were financed through Strategy’s at‑the‑market (ATM) equity offering program. Between June 1–7 the company sold 1,409,600 Class A shares, generating approximately $181.0 million in net proceeds. - Strategy increased its U.S. dollar cash reserve to $1.0 billion as of June 7 — up $100 million — explicitly to help cover preferred stock dividends and debt interest obligations. - In late May 2026, Strategy sold 32 BTC for about $2.1 million to fund preferred dividend payments on its Series A Perpetual Stretch Preferred Stock. The filing notes this was the company’s first BTC sale since 2022. Why this matters Strategy’s model of raising capital via public markets (equity or other instruments) and directing part of the proceeds into Bitcoin purchases remains front-and-center. The ATM share program is effectively a repeatable pipeline for turning investor capital into BTC accumulation, and the June filing shows that pipeline in action. The filing also corrects confusion from older candidate-pool reports that suggested a much larger 15,400 BTC buy; the verified SEC filing confirms the actual June purchase was 1,550 BTC (~$101.3M). That distinction is important for anyone tracking institutional inflows into Bitcoin — Strategy’s disclosures are widely used as a benchmark for corporate treasury appetite. Takeaway Strategy remains one of the largest corporate Bitcoin holders, but its balance-sheet management is getting more layered. The company continues to buy BTC, yet it’s concurrently managing dividend payments, debt interest, and larger cash reserves — and it funds much of its Bitcoin accumulation through equity sales. For traders and investors watching institutional demand, the headline — “Strategy is still accumulating Bitcoin” — holds, but the details in the filings (purchase sizes, funding sources, reserve levels) are critical to interpreting what that behavior actually signals for Bitcoin markets. Source: Strategy Inc. Form 8‑K filed with the SEC (EDGAR), June 8. Read more AI-generated news on: undefined/news
KuCoin Hit with $2M+ Seychelles Judgment Over Delisted CHP Tokens — Investor Says Unpaid
Headline: Seychelles court orders KuCoin to pay >$2M over delisted CHP tokens — investor says judgment still unpaid A Seychelles Supreme Court ruling over delisted CHP tokens has put KuCoin back in the legal spotlight. In December 2025 the court found for a Swiss investor in a dispute involving 21 million CHP tokens that remained on the exchange after delisting, ordering compensation of more than $2 million. The investor now alleges that six months after the ruling KuCoin has not paid the award and has not engaged in related proceedings. What the court decided - The Seychelles court rejected the idea that tokens left on an exchange after a withdrawal window automatically become “abandoned” property. - Instead, it treated the unwithdrawn 21 million CHP tokens as an obligation the exchange owed to the investor and awarded compensation exceeding $2 million. Investor’s claims - According to reports, the Swiss investor says KuCoin has not complied with the judgment and has not participated in follow-up proceedings or responded to requests about the case. - Public records cited by the investor allegedly show no payment of the court-ordered award. Why this matters - KuCoin operates through entities incorporated in the Seychelles, making a local ruling particularly relevant to the dispute. - The case highlights a core legal question for exchanges: what happens to user assets after a token is delisted and the withdrawal window closes. The Seychelles ruling draws a clear line under local law that delisting does not automatically extinguish ownership rights. - The ruling could set a precedent in jurisdictions that treat similar disputes the same way, but enforcement is a separate challenge. Enforcement hurdles - Even with a favorable judgment, enforcing a Seychelles court order against a global crypto platform can be difficult. Recovery may require locating exchange-linked assets in other jurisdictions or securing local courts’ recognition of the foreign judgment. - Those enforcement steps can be lengthy and may involve additional litigation in multiple countries. Regulatory backdrop - The dispute arrives amid increased regulatory scrutiny of cross-border crypto platforms from agencies such as the CFTC and other authorities. Court fights over delisted or inactive assets are multiplying as exchanges and users square off across jurisdictions. What’s next - The investor says they are pursuing available legal channels to enforce the award. Public reports indicate no payment has been recorded and KuCoin has not publicly responded to the allegations. Takeaway The Seychelles decision underscores that delisting rules and exchange terms of service can carry different legal weight depending on jurisdiction. For users and platforms alike, the case illustrates both the potential legal exposure exchanges face over dormant assets and the practical difficulties of enforcing local judgments against multinational crypto businesses. Read more AI-generated news on: undefined/news
Coinbase's Everything Exchange: A 24/7 Super App for Trading, Lending, Derivatives & AI
Coinbase is plotting a bold next step: turning its crypto exchange into a single “financial super app” that bundles trading, lending, payments, derivatives and AI-driven services into one unified account. In a company blog post, Coinbase’s head of consumer and business products, Max Branzburg, described the vision as an answer to legacy finance — markets that close, multi-day settlement, and assets siloed across different accounts. Coinbase says its unified account will be “instant” and available 24/7, letting users access a broad range of financial products from a single platform. What the new platform aims to support - Crypto assets (millions already accessible on Coinbase) - Nearly 10,000 stocks and ETFs - Commodities and commodity-backed perpetual futures - Derivatives and prediction markets - Payments and lending - AI-powered portfolio and trading tools Market reaction was immediate but mixed: shares briefly jumped as much as 2.58% to $164.32 in Friday trading before reversing lower later in the session as investor attention shifted to the highly anticipated SpaceX public market debut. Why Coinbase thinks it has an edge Coinbase argues that traditional financial infrastructure is slow and fragmented — limited hours, delayed settlement and restricted ownership models — problems blockchain tech can solve. With digital-asset rails, markets can run continuously, settlements can speed up, and global access can expand. Products already rolling out Recent launches show Coinbase steadily expanding beyond spot trading: - A High Yield USDC vault was introduced this month, letting users lend stablecoins through DeFi infrastructure powered by Morpho. Allocations are managed by Steakhouse Financial and allow exposure to a range of collateral assets without users having to move funds off the exchange. - The exchange’s prediction market business has grown rapidly: a Bernstein report (previously covered by crypto.news) found the segment exceeded $100 million in annualized revenue in March, mere months after launch. AI and automation pushed deeper Coinbase is also baking AI into its ecosystem. Its Coinbase Advisor tool gives portfolio analysis, trading insights and market information to users. More aggressively, Coinbase for Agents connects large language models — including ChatGPT and Anthropic’s Claude — directly to Coinbase accounts, enabling authorized AI agents to execute crypto trades, rebalance portfolios, monitor markets, manage positions and handle payments on users’ behalf. Coinbase says support for stocks and prediction markets will be added to the agent framework later. Growth opportunities ahead Analysts see big upside for Coinbase’s “Everything Exchange” strategy. Bernstein estimates the 2026 FIFA World Cup — with 104 matches — could drive an additional $5–$10 billion in prediction market activity, a potentially significant revenue stream for an exchange positioned to capture event-driven trading. What’s next Coinbase will reveal more details on June 16, when it presents the next phase of its Everything Exchange initiative. If the company delivers on its roadmap, it could reshape how retail and institutional users interact with a wide spectrum of financial products — all from a single, always-on account. Read more AI-generated news on: undefined/news
Study: AI crypto agents susceptible to prompt-injection attacks — wallets and trades at risk
As AI agents — the autonomous bots that can browse, research, shop, and even trade crypto — move from labs into real-world systems, researchers warn a thorny problem persists: prompt injection attacks. A cross-institutional team from Nanyang Technological University, ST Engineering, IBM Research, and the University of Illinois Urbana-Champaign reports that current agents remain highly susceptible to these attacks, with no tested configuration showing consistent resistance. What are prompt injections? - Prompt injection happens when an attacker hides instructions inside content an agent reads (web pages, links, or other documents). The agent can then follow the attacker’s hidden directions instead of the user’s intent — a clear risk when agents are allowed to act autonomously on financial tasks, such as executing trades or interacting with wallets and exchanges. What the study did - To better evaluate real-world risk, the researchers created StakeBench, a benchmark that stresses AI agents against prompt injections in realistic online settings. StakeBench focuses on what the team calls Indirect Prompt Injection — the deployment-relevant channel where malicious instructions are embedded within the environment an agent encounters. - StakeBench probes three key factors that change attack impact: 1. Semantic distance between the injected objective and the user’s original intent (how similar or different the hidden goal is). 2. Consistency of surrounding environmental cues (whether the injected content fits naturally into the page or source). 3. When along the agent’s execution trajectory the agent first encounters the injected content. What they tested - The team ran 3,168 simulated attacks using two agent frameworks (NanoBrowser and BrowserUse) paired with GPT-5 and Gemini 2.5-Flash. Key findings - Direct prompt injection attacks succeeded more than 79% of the time across all tested setups. - Indirect prompt injection success rates ranged from 41.67% to 68.16%, depending on context and the three factors above. - The researchers highlight a phenomenon they call “stealthy parasitism,” where an agent still performs the user’s requested task but simultaneously advances the attacker’s goal — for example subtly steering recommendations. In crypto scenarios, that could mean nudging an investor toward a particular token or executing trades that benefit an attacker without obvious signs of compromise. Why this matters for crypto - Autonomous agents are increasingly used to parse market data, execute trades, manage wallets, and interact with DeFi protocols. Prompt injection vulnerabilities therefore create clear attack surfaces: from biased token recommendations and manipulated portfolio rebalancing to leaked credentials or unauthorized transactions. - The researchers emphasize that prompt-injection risk is “victim-dependent”: the same exploit can have very different consequences depending on who or what the agent is acting for, and the impact is shaped by semantic alignment and system architecture — not just the underlying language model. Context and prior incidents - The study follows a string of real-world disclosures: Microsoft warned in February about hidden instructions in AI summary links; Google described web-page prompt injections attempting to make agents leak credentials or send payments in April; and Microsoft recently disclosed a prompt-injection flaw in Anthropic’s Claude Code GitHub Action that could have exposed user credentials. Bottom line - Prompt-injection security is not a single property of the model but a multi-dimensional distribution of harm influenced by stakeholders, task alignment, and deployment context. For crypto platforms and traders relying on autonomous agents, the research is a wake-up call: rigorous, context-aware evaluation (like StakeBench) and stronger defenses are needed before handing these agents control over funds or wallet credentials. Read more AI-generated news on: undefined/news
Kimi Work: Moonshot's desktop agent brings local, browser-driven automation to crypto traders
Moonshot AI brings a powerful desktop agent to your machine — and it could matter a lot to crypto traders, researchers and devs. What happened Moonshot AI, a Beijing-based “AI Tiger” startup, launched Kimi Work this week: a downloadable desktop agent for macOS (Apple Silicon) and Windows that lives on your computer, reads local files, drives your real browser, and runs scheduled jobs. The app is in internal testing and available as a free download from kimi.com; core agent features require a paid plan. Why crypto people should care Kimi Work is built to do long-running, real-world workflows on a single machine: scrape price and on-chain data in your browser, compile research into Excel or PowerPoint, run Python backtests, monitor portfolios and send reports by email — all using live, logged-in browser sessions and local files. For traders and analysts who need customized, automated workflows tied to their own accounts and data, that local control is a major draw. It also raises obvious security considerations for browser-based wallets, exchanges and internal tools (see privacy below). Key features - Local-first agent: Installed on your laptop, Kimi Work reads mounted folders, manipulates PDFs, runs local Python, and controls your browser. - WebBridge integration: Uses Chrome DevTools Protocol to drive your real Chrome/Edge session locally, keeping cookies and logged-in sessions on your machine. - Agent Swarm: Spin up parallel sub-agents — Moonshot says up to 300 — so different agents can tackle parts of a larger task simultaneously. - Cron engine: Schedule jobs on daily, hourly or conditional triggers, including a “Keep Computer Awake” toggle for overnight processes. - Market data built in: Native access to A-shares, Hong Kong stocks and U.S. equities without extra API setup; finished research can be exported to PowerPoint or Excel. - Local file layer: Agents can read folders you mount and execute background Python. - Pricing tiers: Free download with paid plans for meaningful features. Moderato ($19/month) includes K2.6, Deep Research and Kimi Code. Allegretto ($39/month) unlocks Agent Swarm with limited sub-agents. Allegro ($99/month) and Vivace ($199/month) unlock the full 300-agent swarm and higher-volume professional workflows. What’s under the hood Kimi Work is reported to run on Kimi K2.6, Moonshot’s mixture-of-experts (MoE) model released April 20. K2.6 is roughly a one‑trillion‑parameter model that keeps only a slice of parameters active at a time — Moonshot says about 32 billion parameters are activated per token — and it supports an immense 256K‑token context window. That long context lets an agent hold large, multi-step workflows in memory without losing track of earlier steps. The same base model was used by the AI code editor Cursor to fine-tune its Composer 2 coding model. Local actions vs. model inference “Local” refers to where actions happen — on your computer — but the model inference itself can still run through Moonshot’s cloud API. Full on-device inference is possible: K2.6’s weights are available on Hugging Face under a Modified MIT License, but a trillion-parameter model requires heavyweight hardware beyond most home setups. Security and privacy: promising controls, but not airtight Because Kimi drives your real browser and accesses local files, it can interact with sensitive services — from bank accounts to browser wallet extensions and internal dashboards — if present in your session. Researchers (UC Riverside) have warned that autonomous agents can exhibit “blind goal‑directedness,” performing risky actions without recognizing hazards. Moonshot offers an “ask before acting” mode that requires user approval before file changes or code execution, which is recommended as the default. Still, local control is not a guarantee of safety; users should treat any agent that can access logged-in sessions and local data with caution. How Kimi Work stacks up in a crowded field The desktop agent race is heating up. Anthropic’s Claude has offered desktop computer use since late 2024; OpenAI added Codex Background Computer Use for macOS in April 2026; Google’s Gemini (from Project Mariner) emphasizes browser workflows; and Microsoft added computer-use to Copilot Studio in May 2026. Other local platforms like OpenClaw, Hermes and NanoClaw let you configure agents against various LLM APIs. Kimi Work’s differentiator is its local-first design combined with a claimed 300-agent swarm and tight WebBridge browser control — something many cloud-sandboxed alternatives cannot touch. Practical tradeoffs - If your laptop sleeps or shuts down, local tasks stop. Moonshot’s cloud service, Kimi Claw, can run tasks 24/7 if you need continuous operation. - To run K2.6 inference locally you need very powerful hardware; most users will route inference through Moonshot’s cloud. - The product remains in internal testing; features and behavior may change before wide release. Bottom line Kimi Work turns Moonshot’s one‑trillion‑parameter model and browser-driving WebBridge into a full desktop agent aimed at automating real, logged-in workflows. For crypto traders and researchers who want automated, local control of market scraping, research compilation and bespoke workflows, it’s a compelling tool — provided you weigh the practical and security tradeoffs of giving an agent broad access to your machine and browser sessions. Downloads are available now at kimi.com for macOS (Apple Silicon) and Windows; expect the product to evolve as it moves out of internal testing. Read more AI-generated news on: undefined/news