SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

Odaily星球日报Pubblicato 2024-01-30Pubblicato ultima volta 2024-01-30

Introduzione

昨天的经济数据相对平静,最重要的可能是美国财政部再融资公告,简而言之,财政部将第一季度的融资规模预估下调了6.9%至7,600亿美元,低于市场预期,帮助美债小幅反弹。在加密货币领域,就在GBTC的资金流出终于显示出一些放缓迹象之际,Blackrock的IBIT在交易量方面正一步步赶上GBTC,现货价格也相应反弹,BTC重回4.35万美元以上。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

想要现货屯囤 BTC ,强烈推荐继续卖看跌期权:卖 3 月底 38000 的看跌期权:权利金 2.65% 。1 个 BTC 的头寸是 1136 刀权利金的收入,行权就按照 36864 一个买 BTC;不行权,年化收入 16% 。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

BTC 的年底的期货升水(溢价) 是 9.2% ,也就是当下币圈无风险的基差套利年化 10% 。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

上周币圈资金净流出了 5 亿美金。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

昨天的经济数据相对平静,最重要的可能是美国财政部再融资公告,简而言之,财政部将第一季度的融资规模预估下调了 6.9% 至 7, 600 亿美元,低于市场预期,帮助美债小幅反弹,收益率曲线整体下滑约 5-6 个基点,SPX 指数突破至新高。

财政部的借款需求降低是由于预计财政资金增加,以及新年伊始现金水位比预期来得高。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

尽管年初以来降息预期有所调整,股市仍持续上涨,不过股票/债券相关性持续下降。强劲的经济数据加上全球央行的鸽派立场(降息只是时间问题)仍在推动风险情绪上升,期权市场已经反映了风险情绪的升温,过去两周 SPX 看涨期权偏斜程度大幅加剧,甚至小型股看起来也即将突破长达 2 年的盘整,上升中的牛市往往是最难交易的。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

在加密货币领域,就在 GBTC 的资金流出终于显示出一些放缓迹象之际,Blackrock 的 IBIT 在交易量方面正一步步赶上 GBTC,现货价格也相应反弹,BTC 重回 4.35 万美元以上。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

在费用方面,价格战仍在持续,Invesco/Galaxy 同意将 ETF 费用从 39 个基点下调至 25 个基点,与其他机构保持一致,远低于 Greyscale 1.5% 的费用。TradFi 进入加密货币领域意味著更低的费用、更低的点差,以及最终更低的 Alpha(竞争加剧)…希望机会之窗不会太快关闭。

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

SignalPlus宏观分析(20240130):美国经济数据强劲,SPX持续看涨

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

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

AI investor Leopold Aschenbrenner has made a significant portfolio shift, taking a $9 billion nominal short position against top AI infrastructure stocks like NVIDIA, ASML, and Oracle. Simultaneously, he is redirecting capital towards what he sees as the next critical bottlenecks in the AI boom: power, memory, and data center networking, alongside private investments in AI model companies like Anthropic. This move is interpreted not as a call that the AI bubble has burst, but as a rotation within the infrastructure stack. The analysis highlights NVIDIA's recent $25 billion bond issuance as a potential signal, questioning why a cash-rich company would seek external debt despite high profits and increased dividends/buybacks. The core investment thesis is that the initial, crowded "picks and shovels" trade in semiconductors is maturing. The next wave of capital is expected to flow into the physical and logistical constraints of AI expansion: electricity supply, memory chip capacity, data center construction, and enabling technologies like optical networking (fiber) for high-bandwidth communication, where copper remains crucial for short distances. Aschenbrenner's substantial (approx. 20% of fund) private stake in Anthropic is noted as a key part of his strategy—investing directly in the "mine" (AI models) rather than just the "shovels." The discussion concludes that while certain segments may be overvalued, the overarching AI infrastructure demand driven by real product usage remains robust. The most promising long-term investments are seen in essential, non-sexy infrastructure—particularly energy and power companies—whose demand is viewed as a global constant irrespective of AI's cyclicality.

marsbit1 min fa

Analysis of the Latest Portfolio Adjustment by the "Top Player" in the U.S. Stock Market: $9 Billion Short on NVIDIA, Shifting Focus to Power and Memory Sectors

marsbit1 min fa

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

The crypto market is currently in an adjustment phase driven by policy expectations and liquidity shifts. Despite a brief rebound fueled by geopolitical easing and SpaceX's strong IPO performance, unexpectedly hawkish signals from new Fed Chair Kevin Warsh have removed anticipated easing support. Concurrently, stablecoin liquidity is shrinking, with insufficient new capital inflows, pushing the market into a typically quiet summer period. Pricing lacks catalysts for a sustained rally. Daily trading volume has significantly contracted, stablecoin growth has slowed markedly, and the supportive effect of Strategy's (formerly MicroStrategy) STRC preferred stock-financed Bitcoin purchases is fading. Amid policy uncertainty, seasonal weakness, and liquidity contraction, Bitcoin faces near-term downward pressure. Warsh's hawkish pivot and refusal to provide a clear policy outlook have increased risk premiums, historically unfavorable for Bitcoin. Technically, the trend remains bearish below $73,700, with $62,446 as critical support. A break below could accelerate declines, though a prolonged consolidation phase, similar to 2022's bottoming process, is possible. Liquidity is a core constraint. Current daily volume is around $500 billion, roughly 25% of the peak during the July-Oct 2025 rally. The 12-month growth rates for USDT and USDC have fallen to ~20%, with 6-month growth near zero, indicating weak new inflows. Bitcoin ETF and Strategy-driven inflows have also weakened, with a 30-day rolling net outflow. With inflation at 4.2% above the Fed's target, combined hawkish policy, seasonal factors, and liquidity shortages challenge Bitcoin's ability to hold above $60,000. However, this adjustment phase may be forming a cyclical low this summer, potentially setting the stage for the next bull cycle.

marsbit29 min fa

BIT Research: Liquidity is Disappearing, Will Bitcoin Replay the Bottoming Pattern of 2022?

marsbit29 min fa

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

Claude Code Usage Report Summary (Based on ~400k sessions) Core Finding: In agentic programming with Claude Code, a clear division of labor has emerged: humans primarily decide *what* to build (planning decisions), while Claude decides *how* to build it (execution decisions). Key Insights: 1. **Effectiveness is not limited to programmers.** In code-generation tasks, success rates for users in non-technical fields (law, finance, management, research) are nearing those of software engineers. What matters most is the user's domain expertise and understanding of the problem to be solved. 2. **Domain expertise drives success and efficiency.** Sessions where users exhibited "expert" proficiency in the task's domain saw verified success rates double compared to "novice" sessions. Experts also delegated more work per instruction, with Claude executing more actions and producing more output. 3. **AI is amplifying, not replacing, domain knowledge.** Claude Code lowers the *implementation* barrier, not the *judgment* barrier. The value of knowing the "what" and "why" is increasing relative to just knowing the "how" to code. 4. **Usage is evolving.** Over a 7-month period (Oct '25 - Apr '26), the share of sessions for debugging halved, while use for software operations, data analysis, and non-code writing roughly doubled. The estimated economic value of typical tasks increased by ~25%. Conclusion: The data suggests coding agents are making programming background less critical for completing technical tasks. However, they reward and amplify deep domain understanding. The ability to successfully direct an AI agent stems more from mastery of a specific field than from coding skill itself. The primary gains come from being competent in a domain; deep specialization adds only marginal additional advantage. This may signal a shift where software creation becomes integrated into various professions.

marsbit1 h fa

Who Makes the Best Use of Claude Code? The Answer Might Not Be Programmers

marsbit1 h fa

Trading

Spot
Futures
活动图片