Kamala Harris获得民主党提名-最新加密货币新闻

币界网Published on 2024-07-23Last updated on 2024-07-23

币界网报道:

美国副总统卡玛拉·哈里斯获得了必要的代表支持,获得了民主党总统候选人提名。根据美联社非官方民主党代表民意调查的最新数据,哈里斯在报道时已获得2668名代表。这一发展使她成为即将到来的选举中与共和党候选人唐纳德·特朗普竞争的领跑者。

内容隐藏1美国总统选举发生了什么?2关于此事的细节3选民的关键推断

美国总统选举发生了什么?

哈里斯现在必须确保她的支持者在未来几周内正式投票,预计官方候选人将在8月7日前公布。哈里斯在声明中表示,她为获得广泛支持感到自豪,并期待着很快正式接受提名。访问COINTURK FINANCE获取最新的金融和商业新闻。

哈里斯在7月21日突然决定退出竞选后,支持率飙升,得到了现任总统乔·拜登、比尔和希拉里·克林顿以及众议院议长南希·佩洛西的支持。这种支持平息了人们对希拉里可能重新参加总统竞选的猜测。

哈里斯获得提名之际,正值总统感染新冠肺炎后,人们对乔·拜登的健康状况感到担忧。凯文·奥康纳博士表示,截至7月22日,拜登的症状已基本缓解,缓解了人们对他的健康状况的担忧。

事件详情

前总统唐纳德·特朗普明确表示了对比特币和加密货币的立场,承诺保护美国比特币矿工,结束他所说的拜登政府对加密货币的战争。相比之下,哈里斯没有就加密资产发表强有力的声明。然而,她被公认为是一位来自加利福尼亚州的技术友好型民主党人,最近受到了广泛关注。

选民的关键推论

    哈里斯对竞选伙伴的选择将对她的政府在加密货币政策上的立场至关重要。潜在的副总统候选人包括Pete Buttigieg、Josh Shapiro、JB Pritzker和Gavin Newsom,他们都没有对加密资产持有坚定的立场。选民应该关注哈里斯的提名将如何影响即将到来的选举中的科技和加密行业。

哈里斯的提名及其对加密货币的影响的关键将是她对竞选伙伴的选择;政治专家建议Pete Buttigieg、Josh Shapiro、JB Pritzker和Gavin Newsom作为潜在的副总统候选人。这些潜在的选择都没有对加密资产采取过于强硬的立场。目前尚不确定哈里斯领导下的加密货币政策是否会与现任拜登政府大不相同。

您可以在Telegram、Twitter(X)和Coinmarketcap上关注我们的新闻。免责声明:本文所含信息不构成投资建议。投资者应该意识到加密货币具有高波动性,因此存在风险,应该进行自己的研究。

Related Reads

Just Now, Anthropic Unveils Physical MCP: Claude Begins Controlling the Real World

Anthropic has announced the Model Hardware Standard (MHS), a new standard enabling AI agents like Claude to safely control physical devices. Building on the Model Context Protocol (MCP), MHS standardizes communication between AI agents and hardware such as microscopes, robotic arms, and lasers, marking a significant step for AI from the digital into the physical world. Developed in collaboration with HHMI Janelia Research Campus, MHS uses standardized drivers to translate basic commands (e.g., read, write) into a format any programmable device can understand. This drastically reduces integration time from weeks to hours or minutes and allows agents to discover and operate new devices using natural language tags that describe machine properties and safety limits. Agents can control devices via MCP, command-line interfaces, or APIs. They can sequence operations, monitor results, adjust parameters in real-time, and generate deterministic scripts for long-running tasks. Early tests show Claude interacting with hardware exploratively, like a scientist, learning to calibrate a laser and scripting the process. Early adopters and partners include AWS, Automata, Danaher, Doosan Robotics, and Tecan, who are integrating MHS support into their platforms. While promising, challenges remain: Claude's physical reasoning is limited, requiring expert oversight, and MHS currently only works with programmable hardware. Anthropic plans further refinements and broader device support before open-sourcing the standard.

marsbit4m ago

Just Now, Anthropic Unveils Physical MCP: Claude Begins Controlling the Real World

marsbit4m ago

History's Only Asset with a 100% Win Rate After 4 Years of Holding

**Title: The Only Asset with a 100% Win Rate Over Any 4-Year Holding Period** This article analyzes which major, freely-tradable assets have historically never produced a nominal loss over any rolling 4-year holding window. It concludes that only two distinct categories achieve this: ultra-low-risk contractual assets and Bitcoin. Among traditional risk assets, none maintain a perfect 4-year record. The S&P 500 had negative 4-year periods (e.g., 1929-1932: -64.8%). The Nasdaq 100 fell roughly 60% from 2000-2003. Gold saw a ~47.7% loss from 1981-1984. US real estate declined about 23.3% from 2007-2010. Even long-term US Treasury bonds (e.g., 2021-2024: -19.8%) and corporate bonds can produce 4-year losses due to interest rate and market price risks. In contrast, the first category achieving 100% nominal success includes assets like rolling 3-month US Treasury Bills, 4-year certificates of deposit (CDs), and US Treasuries held to maturity within 4 years. Their "guarantee" stems from contractual obligations and credit backing (e.g., FDIC insurance, US sovereign promise), not price appreciation. The sole exception in the high-risk category is Bitcoin. Analysis of daily data from 2010-2026 across 4,419 rolling 4-year windows shows a 100% positive return rate. The worst 4-year period (April 2021 to April 2025) still yielded a +32.6% total return (~7.3% CAGR). This record is unique because Bitcoin has no issuer, promises no cash flows, and has endured severe drawdowns (70-90%), yet its market price has always recovered within a 4-year span. The key distinction is the source of the "100%": contractual assets offer known, low nominal returns, while Bitcoin's record stems purely from historical price appreciation despite extreme volatility. The article suggests that for Bitcoin, the ability to hold for 4+ years is more critical than active trading strategies.

marsbit11m ago

History's Only Asset with a 100% Win Rate After 4 Years of Holding

marsbit11m ago

How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

This article details the dramatic rise and near-collapse of a hedge fund built by Leopold Aschenbrenner, a 24-year-old former OpenAI researcher. The fund, named Situational Awareness, amassed $45 billion in assets within two years. Its explosive growth stemmed from Aschenbrenner's influential 165-page manifesto predicting AGI's arrival by 2027 and his high-profile Silicon Valley connections. The fund employed an extremely aggressive strategy: high concentration and 400% leverage to bet long on AI infrastructure stocks while shorting legacy software firms. In July, this structure backfired when both sides of the trade reversed simultaneously—AI stocks plunged while shorted stocks rallied—triggering massive losses that nearly wiped out all equity. Major player Jane Street reportedly lost billions. The fund's leveraged public portfolio was ultimately sold at a discount to Citadel. The SEC is now investigating banks like Goldman Sachs for their role in facilitating the fund's high-leverage trades. The article compares this to past blow-ups like Archegos, highlighting systemic failures in risk management where the pursuit of short-term profits overrode due diligence. It questions whether such risky leverage concentrated in the AI sector, currently at record highs, poses a broader systemic threat. Ironically, Aschenbrenner, who studied AI safety at OpenAI, designed a fund structure prone to uncontrolled failure. Days after the crisis, he reportedly raised another $400 million for new investments.

marsbit25m ago

How One Article Moved 45 Billion: The Collapse of a 25-Year-Old 'AI Stock Guru'

marsbit25m ago

AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

This summer, the mathematics community was shaken as OpenAI's Astra model reportedly solved 10 long-standing open problems, and Claude Fable 5 found a potential counterexample to the Jacobian conjecture. This was followed by a major shift in physics: renowned physicist Gavin E. Crooks presented an open problem in stochastic thermodynamics to Claude, which the AI solved completely in days—a task that might take a skilled graduate student months. The problem concerned constraints on entropy production statistics under the Detailed Fluctuation Theorem (DFT), a core concept in non-equilibrium physics. Claude provided a unifying geometric answer: all possible DFT-compatible distributions correspond to a convex "moment body." Its key insight was that for a fixed "gap," the distribution is uniquely determined, making any general DFT distribution a mixture of these basic two-outcome distributions. This structure implies that for given lower-order moments, the nth moment only has a sharp lower bound, with no upper bound. Claude demonstrated that numerous previously published bounds on entropy production are merely low-dimensional projections or "shadows" of this single, unified convex body. The AI-authored paper offers a complete hierarchical characterization of the moment constraints. This case signifies a potential paradigm shift: AI is progressing from solving known problems to aiding in the exploration of fundamental, unsolved scientific questions, heralding an AI-accelerated era for physics.

marsbit26m ago

AI Accelerates Everything: Mathematics's Line of Defense Has Fallen, Physics is Already in AI's Crosshairs

marsbit26m ago

Trading

Spot
活动图片