SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

Odaily星球日报Pubblicato 2024-02-26Pubblicato ultima volta 2024-02-26

Introduzione

市场在上周五仍保持风险偏好的态势,在加密货币方面,价格在近期反弹后也同样趋于平稳,不过整体主流叙事仍持续改善。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

市场在上周五仍保持风险偏好的态势,中国 10 年期公债收益率触及 20 年低点,欧洲固定收益市场在欧洲央行鸽派言论支持下上涨,而尽管有大量债券供应,新债的投资需求仍相当良好。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

卖方经济学家也一直在上修美国经济增长预测,普遍认为经济衰退的可能性已经降至不到 40% , 2024 年经济增长预测的中位数为 2.1% 。此外,由于经济数据强劲,高盛也正式将美联储首次降息的预测推迟至 6 月,不过他们仍预计终端利率将降至 3.25-3.5% 左右的低点。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

科技板块在经历了惊人的涨幅后,上周五因获利了结而表现稍微落后,不过股市仍保持在历史高点附近。对冲基金和共同基金都自年初开始大量持有股票敞口,因此无论是主动型或者被动型基金经理人,今年迄今都取得了出色的成绩。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

企业盈利继续复苏,预计进入 2025 年时盈利仍会不断增长, 36% 的 S&P 企业在季度财报电话会议中提到“AI”,该主题仍然持续推动利润和市场情绪。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

在加密货币方面,价格在近期反弹后也同样趋于平稳,不过整体主流叙事仍持续改善。Reddit 最近在其 S-1 (IPO) 文件中宣布,他们已将部分多余现金投资于 BTC 和 ETH,且预计未来会继续使用它们来支付某些虚拟商品。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

与此同时,散户的参与度持续改善,JPM 报告称,与大型机构钱包相比,小型钱包(即散户)的资金流入更大。 Block、PayPal 和 Robinhood 等散户平台的 Bitcoin 净购买量也在 2023 年出现反弹,同时 Coinbase 的 2023 年第四季度财报也显示机构和散户交易活动均出现提升。

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

SignalPlus宏观分析(20240226):高盛预测美联储将于6月首次降息

您可在 ChatGPT 4.0 的 Plugin Store 搜索 SignalPlus ,获取实时加密资讯。如果想即时收到我们的更新,欢迎关注我们的推特账号@SignalPlus_Web3 ,或者加入我们的微信群(添加小助手微信:SignalPlus 123)、Telegram 群以及 Discord 社群,和更多朋友一起交流互动。

SignalPlus Official Website:https://www.signalplus.com

Letture associate

Kalshi's Biggest Rival is Not Polymarket

Kalshi's CEO Tarek Mansour has identified the company's primary competitors not as the crypto-based prediction market Polymarket, but as established financial and gaming giants: CME Group, Robinhood, and DraftKings. This reflects a shift in the prediction market landscape, where the 2026 FIFA World Cup is expected to bring massive new trading volume. Traditional platforms are increasingly integrating prediction markets as a feature within their existing ecosystems. Robinhood has seen rapid growth with its prediction markets, contributing significantly to its "other transaction revenue." Similarly, Interactive Brokers (IBKR) integrates contracts from Kalshi and CME Group, while DraftKings and FanDuel (via CME) have launched their own prediction products. This allows these firms to leverage their vast user bases and infrastructure at low marginal cost, turning prediction markets from standalone apps into embedded functionalities. In response, prediction market platforms are evolving along two paths. First, they are expanding into new event categories like sports (e.g., the World Cup) and financial data to reduce reliance on election cycles. Second, they are moving towards becoming infrastructure and liquidity providers for distribution platforms. Kalshi's lead over Polymarket in trading volume is partly attributed to this channel strategy, integrating with brokers like Robinhood, Coinbase, and Webull. However, this strategy faces a challenge as distributors like Robinhood begin building their own in-house prediction market capabilities (e.g., Rothera), potentially threatening the value of pure infrastructure providers. The situation parallels historical tech battles, such as Zoom competing with Microsoft Teams and Google Meet, where embedded features in larger platforms reshape market dynamics. The future of standalone prediction market leaders like Kalshi and Polymarket will depend on their ability to navigate this new competitive landscape dominated by integrated financial and gaming titans.

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Kalshi's Biggest Rival is Not Polymarket

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Trends in US Stocks (June 22): Strait of Hormuz Agreement Changes Course, Thursday's PCE and Micron to Determine Chip Sector Direction

U.S. Stock Market Outlook (June 22): Strait of Hormuz Deal Falters, Thursday's PCE & Micron to Set Chip Sector Direction. Geopolitical tensions resurged over the weekend as Iran's IRGC announced the closure of the Strait of Hormuz, and its negotiation team walked out after threats from Trump, pausing U.S.-Iran talks. This renewed risk premium is weighing on U.S. equity futures ahead of the open. Last week's market was driven by chip stocks, with the Philly Semiconductor Index hitting a record high. While the Fed's hawkish tone was overshadowed by initial deal optimism, the S&P 500 gained 0.9% for the week. SpaceX debuted strongly but ended with two down days. Key events this week: The status of U.S.-Iran negotiations remains the immediate variable for oil and energy stocks. Monday sees Marvell and Flex added to the S&P 500. Tuesday's MSCI reclassification could benefit South Korean semiconductors and memory stocks. **Thursday, June 25th, is the critical day**, featuring the May Core PCE report and Micron's earnings. Hotter PCE data could solidify expectations for two 2024 rate hikes, while softer data would rapidly reprice rate cut bets. Micron's report is a key test for the AI narrative; the market will scrutinize its 2027 HBM supply visibility, HBM4 progress, and its position in Nvidia's Vera Rubin supply chain. Nvidia's AGM and a potential OpenAI GPT-5.6 release will make Thursday a pivotal 24 hours for AI. Friday concludes with the Russell reconstitution, elevating small-cap volatility. In summary, last week's gains face a true test. The path hinges on two concurrent threads: geopolitical developments with Iran and the AI narrative defined by Micron's guidance and Nvidia's updates. The chip sector's record highs are vulnerable if Thursday brings hot PCE data and conservative guidance from Micron. Conversely, positive outcomes could reaffirm the AI bull case, making this week's volatility a potential entry window.

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Trends in US Stocks (June 22): Strait of Hormuz Agreement Changes Course, Thursday's PCE and Micron to Determine Chip Sector Direction

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OpenAI's "Most Open" Move: Codex No Longer Exclusively Favors GPT

OpenAI has significantly opened up its Codex programming agent by introducing a "model provider" configuration layer that allows users to connect it with various open-source models, not just its proprietary GPT. Through a configuration file or a simple `--oss` command-line flag, Codex can now route requests to local services like Ollama or LM Studio, or to third-party APIs such as Mistral or DeepSeek. This move is seen as one of OpenAI's most "open" steps, potentially lowering costs and enhancing privacy for developers who can run code generation offline. However, integration isn't seamless for all models. Codex primarily uses OpenAI's newer Responses API, while many open-source models rely on the older Chat Completions interface. This creates compatibility issues, especially for advanced features like function calling. The developer community is already building "routing" or adapter layers (e.g., CC Switch, LiteLLM) to translate between these protocols, enabling hybrid setups where GPT handles planning and open-source models handle execution. Analysts interpret this as a strategic shift for OpenAI: from competing solely on model superiority to controlling the platform and interface standards. By making Codex a flexible, pluggable entry point for AI-assisted programming, OpenAI aims to become the central hub in the developer toolchain ecosystem, even as users gain the freedom to switch underlying models.

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OpenAI's "Most Open" Move: Codex No Longer Exclusively Favors GPT

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