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BIT Research: After U.S.-China Summit, Markets Begin Repricing "Long-Term Competition"

The market is undergoing a macro repricing driven by geopolitics and policy expectations. Initial interpretations of the recent U.S.-China summit as a signal of eased tensions triggered a risk-on rally, boosting tech stocks and Bitcoin while weakening the dollar. However, as details emerged, this optimism faded due to a lack of concrete progress on tariffs, AI export controls, or key geopolitical issues like Taiwan and Iran. Inflation concerns have resurfaced, renewing selling pressure on bonds and precious metals. Longer-term, the summit underscored ongoing strategic competition: a marginal decline in dollar dominance, a push for diversified global reserve assets, AI and semiconductor supply chain restructuring, and intensified rivalry in frontier tech like low-earth orbit satellites. Bitcoin's price action mirrored high-beta tech stocks more than a structural hedge, highlighting its continued sensitivity to risk appetite and liquidity over traditional safe-haven characteristics. While the meeting yielded modest outcomes like a U.S. agricultural purchase pledge and continued dialogue mechanisms, it primarily reflects "managed competition." Structural tensions remain unresolved in areas like tech and geopolitics, affirming trends toward strategic decoupling and prolonged geopolitical risk. The key for markets is the broader repricing of global liquidity, real yields, and this enduring competitive landscape.

marsbit05/22 03:22

BIT Research: After U.S.-China Summit, Markets Begin Repricing "Long-Term Competition"

marsbit05/22 03:22

Hot Interactive Projects Collection | Catena Labs Waitlist Application; DogeOS Launches Points System (May 22nd)

Hot Interactive Compilation: Catena Labs Waitlist Application; DogeOS Launches Loyalty System (May 22) Original | Odaily Planet Daily(@OdailyChina) Author | Asher(@Asher_0210) 1. Catena Labs: AI Financial Infrastructure Catena Labs, an AI financial infrastructure founded by Circle co-founder Sean Neville, aims to build an "AI-native bank" framework enabling AI Agents to conduct payments, transfers, and asset management. It has applied for a New York trust bank charter with the OCC. On May 20th, it announced a $30 million Series A round co-led by Acrew Capital and a16z crypto. Interactive Tutorial: Visit the official website to apply for the waitlist by providing basic personal information. 2. DogeOS: Dogecoin Ecosystem Application Layer DogeOS is building an application development layer on the Dogecoin blockchain to support consumer apps like games and AI, aiming to enhance Dogecoin's ecosystem and DeFi services. On May 6th, it announced a $6.9 million funding round led by Polychain Capital. Interactive Tutorial: Connect your wallet on the official site, link your X and Discord accounts, join communities, and complete tasks to earn points in the new loyalty system. 3. Nof1: AI Research Lab for Financial Markets Nof1 is an AI research lab focused on financial markets, planning to launch a consumer-facing AI agent platform for market coding. On May 15th, it announced a $15 million funding round co-led by SUI Group and Karatage. Interactive Tutorial: Visit the official website and submit your information to join the waitlist.

Odaily星球日报05/22 03:11

Hot Interactive Projects Collection | Catena Labs Waitlist Application; DogeOS Launches Points System (May 22nd)

Odaily星球日报05/22 03:11

Who is Selling, Who is Holding, Who is Still Buying? The Divergence of U.S. Old Money's Crypto ETF Holdings

"American Institutional Crypto ETF Holdings Show Divergence in Q1 2026. Amidst a quarter of market pullback, major institutional 13F filings reveal distinct strategies towards crypto ETFs. Key sell-offs/trimming: Harvard Management cut its iShares Bitcoin Trust (IBIT) holdings by ~43% and fully exited its iShares Ethereum Trust (ETHA) position, reallocating some funds toward AI/tech stocks. Goldman Sachs reduced its overall crypto ETF exposure, notably clearing its XRP and Solana ETF holdings while adding to selected crypto-related equities like Circle and Galaxy Digital. Hedge funds Millennium Management and Capula Management also significantly reduced or fully exited major Bitcoin and Ethereum ETF positions. Holders maintaining positions: Brown University kept its IBIT stake unchanged, demonstrating a long-term allocation approach. Dartmouth College maintained its core Bitcoin ETF holding while shifting some Ethereum exposure to a staking ETF and initiating a position in a Bitwise Solana Staking ETF. Strategic buyers increasing exposure: Sovereign wealth fund Mubadala increased its IBIT holdings by ~16%. JPMorgan significantly boosted its IBIT stake by 174%, while Wells Fargo raised its Ethereum ETF allocations. Market maker Jane Street rebalanced, cutting Bitcoin ETF holdings but adding ~$82 million in Ethereum ETF exposure. The filings indicate institutions are actively sorting crypto assets by perceived risk and liquidity, with Bitcoin often treated as a 'core' holding, Ethereum facing mixed treatment, and altcoins like Solana and XRP being the first to be cut or used for tactical 'elastic' allocations by some. It's crucial to note that 13F data is a lagging snapshot (as of March 31) and doesn't reveal entry costs or potential off-balance-sheet hedging strategies."

marsbit05/22 02:59

Who is Selling, Who is Holding, Who is Still Buying? The Divergence of U.S. Old Money's Crypto ETF Holdings

marsbit05/22 02:59

Insider: DeepSeek Is Forming a Harness Team to Benchmark Against Claude Code

DeepSeek is reportedly forming a dedicated "Harness" team to develop a code agent product, directly targeting Anthropic's Claude Code. According to internal sources and a social media post by DeepSeek senior researcher Chen Deli, the team will focus on building "DeepSeek Code Harness." The initiative involves recruiting for key roles like Harness Product Manager and Harness R&D Engineer in Beijing. DeepSeek defines its approach with the core formula: Model + Harness = Agent. This signifies a strategic shift from merely offering a powerful coding model to creating the essential middleware that connects the model to real-world developer workflows. The Harness will handle context management, tool calls, task planning, file operations, code editing, terminal execution, and feedback loops. The move highlights that competition in AI-assisted coding is evolving from pure model capability to ownership of the developer workflow entry point. While DeepSeek has strong foundational models (e.g., DeepSeek-Coder series), it has lacked an integrated, productized agent experience. The popularity of a community-built project, DeepSeek-TUI, demonstrated developer demand for a Claude Code-like tool using DeepSeek's models, but also revealed the limitations of unofficial solutions. By building its official Code Harness, DeepSeek aims to leverage its unique advantages: direct collaboration with its model training team, control over APIs and design, the ability to create a data feedback loop for model improvement, and access to real internal task scenarios. This step is seen as crucial for DeepSeek to transform its advanced models into a leading agent product that can deeply integrate into and enhance the actual software development process.

链捕手05/22 02:14

Insider: DeepSeek Is Forming a Harness Team to Benchmark Against Claude Code

链捕手05/22 02:14

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