2026-06-07 Воскресенье

Новостной центр - Страница 78

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21Shares Report: HYPE's P/S Ratio Only Half That of CME, Bull Market Target Price $70

21Shares Research Report: HYPE's P/S Ratio Half of CME's, Bullish Target $70 A recent report from 21Shares highlights Hyperliquid's evolution from a crypto derivatives DEX into a 24/7 "everything exchange" for perpetual contracts across various asset classes. The platform gained prominence during a February geopolitical incident when it provided real-time price discovery for WTI crude oil while traditional markets like CME were closed. Non-digital assets now account for approximately 35% of its volume, with traditional commodities and indices featuring among its top-traded assets. Hyperliquid's business model is rapidly diversifying, significantly reducing its dependence on crypto market cycles. Its cumulative trading volume and revenue are approaching levels comparable to CME Group's crypto derivatives segment. A key feature is its Assistance Fund, which directs 97%-99% of protocol fees to automated HYPE token buybacks, creating a deflationary mechanism with an implied buyback yield significantly higher than CME's traditional share repurchase program. Despite strong fundamentals, HYPE currently trades at a Price-to-Revenue (P/R) ratio of ~10x, roughly half of CME's ~17x. The report outlines valuation scenarios: a bullish case targets $62-$70 based on annualized revenue reaching $12-$15B and applying CME's P/R multiple. A bear case considers $15-$19 if growth slows. Key risks include platform centralization during crises, regulatory uncertainty for on-chain commodities, dependence on geopolitical volatility for non-crypto volume, and the need for sustained high trading volume to offset token unlocks. The analysis concludes that HYPE is increasingly being valued as a legitimate exchange business rather than a speculative crypto asset.

marsbit05/22 05:56

21Shares Report: HYPE's P/S Ratio Only Half That of CME, Bull Market Target Price $70

marsbit05/22 05:56

Financial Changes under the New SEC Rules: Opportunities and Regulatory Red Lines Behind "Tokenized Stocks"

The article discusses the emergence of "Tokenized Stocks" following the U.S. SEC's proposed "innovation exemption" framework, which could allow some assets to be traded on blockchain. It clarifies key misconceptions for investors, particularly those in China. Firstly, it emphasizes that most "tokenized stocks" currently offered by third-party crypto platforms are synthetic assets, not actual equity. Purchasers do not gain shareholder rights like dividends or voting; instead, they hold a derivative contract dependent on the issuing platform's credit and its ability to track the underlying stock's price. The article examines the risks of 24/7 trading, a major selling point. It notes the absence of circuit breakers, which could lead to sudden, unrecoverable losses during off-hours market shocks. It also warns of liquidity traps and high volatility due to the market's currently small size. It reveals that the primary drivers are institutional players like BlackRock and JPMorgan, who are focused on using blockchain for efficiency gains in areas like treasury settlements (T+0), not retail speculation. For Chinese readers, it strongly cautions that platforms offering "easy" access to U.S. stocks via tokens with RMB likely violate strict domestic regulations on cross-border securities and virtual currencies, offering no legal protection. The conclusion offers practical advice: use legal channels like QDII for long-term investment, be wary of high-return promises, monitor evolving regulations like the U.S. CLARITY Act, and prioritize compliance and risk management over chasing innovation. The SEC's move is framed as a strategic experiment in financial tech leadership, but for individual investors, understanding the risks and regulatory boundaries is paramount.

链捕手05/22 05:42

Financial Changes under the New SEC Rules: Opportunities and Regulatory Red Lines Behind "Tokenized Stocks"

链捕手05/22 05:42

Trump Halts AI Executive Order, Regulatory Efforts Succumb to Competitive Anxiety

In a last-minute reversal, former President Donald Trump halted the signing of a long-anticipated executive order on artificial intelligence. The order had sought to establish a voluntary, pre-release safety testing framework for advanced AI models developed by leading companies like OpenAI, Google, Anthropic, and xAI. Under the proposed plan, companies would have shared their most powerful models with the U.S. government 90 days before public release for national security and cybersecurity risk assessments. Trump refused to approve the order, stating he did not want anything to "slow down our leadership," emphasizing America's lead over China in AI and the technology's role in job creation. This decision highlights the core tension in U.S. AI policy: balancing the management of systemic risks posed by frontier models—such as exposing financial system vulnerabilities—against fears that any regulation could stifle innovation and undermine competitive advantage. The move came despite significant public support for AI safety testing and followed internal administration debates. Some officials, alarmed by the capabilities of models like Anthropic's Mythos in uncovering critical security flaws, had advocated for stronger oversight. However, the industry and many within Trump's circle opposed even this voluntary framework, arguing it would hamper American innovation. The incident underscores how AI policy is increasingly intersecting with national security, economic strategy, and political governance.

marsbit05/22 05:09

Trump Halts AI Executive Order, Regulatory Efforts Succumb to Competitive Anxiety

marsbit05/22 05:09

Jane Street Sued: Suspected of Using Telegram Insider Information to Exit and Short Before Terra Collapse, Profiting $134 Million

Wall Street trading giant Jane Street Group is facing a lawsuit alleging it used insider information from a private Telegram channel with a former Terraform Labs intern to avoid losses and profit from the collapse of the Terra ecosystem in May 2022. According to newly unsealed court documents, Jane Street allegedly sold nearly $192 million worth of the UST stable币 before its depeg, and then established short positions, netting approximately $134 million in profits. The suit, filed by Terraform's bankruptcy estate, claims the firm gained a critical "information advantage" through these private communications, allowing it to execute large sales, including an $85 million UST transaction on Curve Finance minutes after Terraform quietly withdrew liquidity. Jane Street has denied the allegations as "baseless" and moved to dismiss the case. A 2023 court ruling that classified UST and Luna as securities bolsters the legal basis of this suit.

marsbit05/22 04:53

Jane Street Sued: Suspected of Using Telegram Insider Information to Exit and Short Before Terra Collapse, Profiting $134 Million

marsbit05/22 04:53

Machines Pay, Humans Reap: Coinbase, Stripe, Google, Visa's AI Payments Land Grab

One year after being a concept, machine-to-machine payments are now a battleground. Four competing architectures are already deployed by Coinbase (x402 protocol), Stripe/Tempo (MPP standard), Google (AP2 authorization layer), and Visa (tokenized credentials). AI Agents have already settled over $73 million across 176 million transactions, with a median value between $0.01 and $0.10. A key barrier is the ~$0.30 minimum fee of traditional card rails, making them unviable for micro-payments. In contrast, Layer 2 stablecoin settlement costs $0.0001, with USDC dominating 98.6% of all transactions. The dynamic is less about a single winning protocol and more about vertical integration within a new payment stack. Companies like Coinbase and Stripe control multiple layers (settlement, wallet, routing, protocol, governance), driving over $8 billion in recent acquisitions to solidify their positions. The shift from extractive bot activity to productive Agent commerce is underway, with AI Agents accounting for 37% of all Gnosis Chain Safe transactions. The pace of adoption will be set not by available technology but by the development of trust and safety infrastructure for autonomous transactions. While a fully permissionless vision is appealing, supervised access remains crucial until AI reliability improves. Regulatory frameworks like MiCA and the EU AI Act, due in mid-2026, currently lag behind this rapidly evolving reality. The foundational argument is clear: crypto rails have already won micro-payments. The central question is how quickly the trust layer can catch up to the scaling settlement layer.

marsbit05/22 04:21

Machines Pay, Humans Reap: Coinbase, Stripe, Google, Visa's AI Payments Land Grab

marsbit05/22 04:21

Upside Still Rolling For HYPE And Zcash—But Danger Zones Are Getting Closer

Hype (HYPE) reached a new all-time high near $63, and Zcash (ZEC) approached its record levels, with monthly gains of 45% and 108% respectively. Both have climbed in market cap rankings. However, following pullbacks, analyst Ali Martinez warns of rising downside risk. For HYPE, technical indicators like the RSI and TD Sequential show a pattern similar to past corrections. Martinez cautions that price rejection from current levels could lead to a retracement toward $40. Zcash faces resistance in the $700-$730 area, the same zone that caused a major rejection in November. A weekly TD Sequential sell signal is emerging, with stretched momentum indicators. If confirmed, corrections could target $500 initially, and potentially $380. While both assets remain in strong uptrends, current conditions suggest increasing risk of a significant pullback.

bitcoinist05/22 04:13

Upside Still Rolling For HYPE And Zcash—But Danger Zones Are Getting Closer

bitcoinist05/22 04:13

ARM's Stock Price Soars 30% Against the Trend, Is ARM, Now Making AI Chips, Winning Big?

ARM's stock surged over 15% on May 21, 2026, reaching a record high of $259, driven by its strategic pivot beyond its traditional IP licensing business. For over three decades, ARM has profited by licensing chip designs to companies like Apple and Qualcomm, earning mere cents per chip. However, with the mobile market maturing, growth stalled. In March 2026, ARM announced a historic shift: it would design and sell its own finished chips for the first time. Its "AGI CPU," built for AI data centers, targets the growing computational needs of AI Agents—tasks like workflow orchestration and data preprocessing where CPUs are crucial. This move positions ARM directly in the high-value server CPU market, competing with some of its own licensees. Analysts believe the rise of Agentic AI will dramatically increase demand for data center CPUs. Bernstein set a $300 price target, forecasting ARM's annual revenue could reach $26 billion by 2030 as the server CPU market expands. Major customers like Meta and OpenAI have already signed on for the AGI CPU, with committed demand reportedly doubling to over $2 billion within six weeks of launch. While this transformation offers massive upside, risks remain. ARM's valuation is extremely high (P/E ~300), pricing in future success. The company must also navigate potential conflicts with existing partners and execute flawless chip manufacturing. Nevertheless, Wall Street is betting that ARM's move from a "tax collector" to an AI infrastructure provider could redefine its growth trajectory for the AI era.

marsbit05/22 04:08

ARM's Stock Price Soars 30% Against the Trend, Is ARM, Now Making AI Chips, Winning Big?

marsbit05/22 04:08

An 80s-born Tianjin native is about to become the first person to go to Mars

Tianjin-born Chun Wang, an avid traveler and cryptocurrency pioneer, is set to make history as the first person to journey to Mars. Born in 1982, Wang's passion for exploration began in childhood. After co-founding the major cryptocurrency mining pool F2Pool in 2013, he amassed significant wealth, which fueled his global adventures, including reaching both the North and South Poles. Feeling Earth held no new frontiers, Wang turned to space. In 2025, he commanded the privately-funded "Fram2" mission, flying a Crew Dragon spacecraft on a pioneering polar orbit to photograph Earth's poles from space for the first time. Now, SpaceX has announced Wang's next ambitious plans: a week-long commercial lunar flyby mission, followed by a groundbreaking two-year crewed mission to Mars and back—marking humanity's first interplanetary human spaceflight. Wang continues his lifelong pursuit of pushing boundaries into the final frontier.

marsbit05/22 04:03

An 80s-born Tianjin native is about to become the first person to go to Mars

marsbit05/22 04:03

An 80s-Born from Tianjin, Set to Become the First Human on a Journey to Mars

Chun Wang, an 80s-born native of Tianjin, is set to become the first person to journey to Mars. SpaceX recently announced that Wang, co-founder of F2Pool and commander of the Fram2 mission, will travel on Starship for a historic two-year deep-space mission to fly by Mars (without landing) and return to Earth. Prior to this, he will also participate in a week-long commercial crewed mission around the Moon. Wang's passion for exploration began in childhood. After university, he embarked on extensive travels, eventually visiting every province in China by train and earning the nickname "Thousand High-Speed Rail Man." His interest in technology led him to programming and, in 2011, to Bitcoin. He purchased his first bitcoin at $8.70 and later co-founded F2Pool, one of the world's largest mining pools, in 2013. The success of his cryptocurrency ventures provided the wealth that later funded his ambitious projects. Having reached both the South and North Poles, Wang sought new frontiers. Inspired by SpaceX's advancements, he conceived and funded the private Fram2 mission in 2025. As mission commander, he led an all-civilian, non-American crew on a unique polar orbit flight aboard a Crew Dragon spacecraft, conducting scientific experiments and capturing unprecedented views of Earth's poles. Now, his journey continues toward the ultimate destination. From his current location on the remote Bouvet Island near Antarctica, Wang prepares for the next steps: a lunar flyby and humanity's first crewed mission to the vicinity of Mars.

Odaily星球日报05/22 03:58

An 80s-Born from Tianjin, Set to Become the First Human on a Journey to Mars

Odaily星球日报05/22 03:58

From Token Explosion to Physical Bottlenecks: The Storage Bull Market Driven by Agentic AI

**From Token Explosion to Physical Bottlenecks: The Agentic AI-Driven Storage Bull Market** The AI semiconductor narrative is shifting from training to inference, which now accounts for 66% of AI compute. In the inference "Decode" phase (autoregressive token generation), GPU performance is bottlenecked by memory bandwidth and capacity, not raw compute (FLOPS). The key constraints are **HBM (High Bandwidth Memory) bandwidth** (determining token generation speed) and **HBM capacity** (determining how many requests/models can be served simultaneously). This creates a core economics equation: Token cost is proportional to (GPU + power cost) divided by Tokens/sec, which is fundamentally limited by HBM specs. This drives unprecedented demand for advanced storage. **HBM**, a 3D-stacked DRAM, is critical for AI accelerators. Its complex production consumes 3-4x more wafer capacity than standard DRAM, squeezing supply for traditional memory (DDR) and causing severe shortages. **HBF (High Bandwidth Flash)**, an emerging high-bandwidth NAND, aims to bridge the gap between HBM speed and SSD capacity for AI model weights. The market is experiencing a historic, structurally driven super-cycle. Demand is fueled by a triple engine: 1) AI training (parameter arms race), 2) AI inference explosion (especially Agentic AI with long contexts), and 3) general data center expansion. Supply is constrained by the HBM产能挤压 effect and the 2-3 year lead time for new fab capacity. Analysts project a DRAM supply deficit of ~5% in 2026. Inventory across the supply chain is at historically low levels, with OEMs securing long-term agreements (LTAs) locking in future supply. Current indicators (Q2 2026) suggest the cycle is in its mid-phase, not peaking. While spot prices have corrected from highs, contract prices are forecast to rise sharply (e.g., +70-75% QoQ for NAND). Capacity utilization remains high, and inventory days are still low. The cycle is expected to peak around mid-2027. The storage landscape is stratified, with key players in HBM (SK Hynix, Samsung, Micron), NAND/SSD/HBF (Samsung, Kioxia/WD, SanDisk), and NOR Flash (Winbond, GigaDevice) well-positioned for this AI-driven era.

marsbit05/22 03:41

From Token Explosion to Physical Bottlenecks: The Storage Bull Market Driven by Agentic AI

marsbit05/22 03:41

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