超级周来袭 美联储利率决议、非农数据、科技巨头财报将密集发布

币界网Publicado em 2024-07-30Última atualização em 2024-07-30

币界网报道:

本周金融市场迎来了备受瞩目的“超级周”,美日英三大央行利率决议、科技巨头财报以及美非农数据将陆续公布。市场屏息以待,准备迎接这一系列可能影响全球资产价格走向的重大事件。

超级央行周来袭

本周进入超级央行周,市场聚焦美国、日本及英国3大央行利率决策,又以美联储动向最受关注。

美联储将于8月1日周四凌晨公布利率决议。市场普遍预计,美联储将继续“按兵不动”维持利率不变的决定,但将在声明中释放更加明确的降息信号,进而对股市、债市、外汇以及加密市场等产生连锁反应。多数金融机构预测,随着美国通胀的回落,以及就业压力上升,使得美联储的两大目标—充分就业和物价稳定更加平衡,美联储将在9月降息。

FedWatch显示9月降息的概率90%

与此同时,日本央行和英国央行的决策也备受关注。日本央行长期以来的宽松货币政策能否在全球经济环境变化中保持定力,或是会有所调整,成为市场猜测的焦点。而英国央行则面临着通胀升温与经济增长放缓的双重压力,其货币政策取向同样对英镑汇率及全球金融市场有重要影响,是选择降息25个基点,或者是维持利率不变,仍充满变数。

美国7月非农

本周美联储改变利率决议的可能性较小,重点是非农数据及失业率。周五,美国将公布7月份的非农就业数据。劳动力市场决定着通胀的轨迹,直接影响市场对于美联储9月货币政策路径的预期。若数据显示就业强劲,失业率维持低位,可能会进一步巩固市场对于美联储按兵不动的利率的预期,从而对市场情绪构成压力。反之,若数据表现疲弱,则可能增加了美联储9月份降息的可能性,成为市场重磅利好。

目前市场预期 7 月非农就业数据月增温和趋缓,有望巩固劳动力市场持续降温的预期,打开9月降息窗口。值得一提的是,9月会议是美国大选结果出炉前的最后一个关键降息窗口。

科技股财报密集公布

本周将有有40%的标普成分公司公布财报,包括微软 、苹果、Meta、亚马逊、AMD、高通 、英特尔等多家科技巨头。

主要巨头财报公布时间

上周,因谷歌和特斯拉财报不佳,市场避险情绪升温,科技股遭遇大幅抛售,透过谷歌和特斯拉财报,投资者推测下半年的美股科技巨头可能将面临支出加大但营收增速放缓的问题。本周财报公布后,这些科技巨头的业绩可能会进一步考验投资者的“AI信仰”,对科技巨头盈利能力的担忧或将进一步影响美股的走势。

本周伴随着政策动向、经济数据及科技巨头财报的密集发布,全球金融市场充满了未知与变数。然而,正是这份不确定性,孕育了丰富的交易机会。对于精明的投资者而言,波动不仅不是障碍,反而是实现资产增值的催化剂。投资者应当保持高度的警觉与敏锐的洞察力,提前制定多样化的投资策略,以灵活应对市场的各种可能走势。

在此过程中,一个能够提供全方位市场接入与高效交易服务的平台显得尤为重要。4E平台,正是这样一位可靠的伙伴,作为阿根廷国家队全球合作伙伴和唯一推荐交易平台,4E不仅覆盖了加密货币、外汇、大宗商品及股票指数交易等多元化业务领域,还以其强大的技术支撑和便捷的操作体验,助力投资者轻松实现跨市场交易的自由与高效,以应对市场变化,有效管理风险,从而把握每一个增值的契机。

Leituras Relacionadas

Standard Chartered Bank’s 50-Fold Fantasy: Predicting AAVE to Reach $3,500

Standard Chartered Bank has issued an optimistic research report predicting that the AAVE token could surge 50-fold to $3,500 by 2030. This forecast is based on the projection that the total value locked (TVL) in DeFi will grow 37x to approximately $2.7 trillion, driven by stablecoin expansion and the tokenization of real-world assets (RWA). The bank's model links Aave's potential valuation directly to its protocol revenue, which is primarily driven by net interest margins. The report highlights Aave's current dominant position, noting it captures over 80% of the net earnings ("protocol retained earnings") in the lending sector while holding only about half of its TVL. It also points to the recent launch of the Aave V4 architecture and a healthy revenue stream of $142 million in 2025 as positive fundamentals. Grayscale's separate analysis, applying traditional valuation metrics like DCF, concluded AAVE is currently undervalued. However, the article notes significant challenges. Aave's peer-to-pool lending model suffers from inherent capital inefficiency, with an estimated $52 million annual "deadweight loss" due to idle funds needed for liquidity buffers. This structural flaw was exposed during the April KelpDAO exploit, which locked a WETH pool at 100% utilization for days. Emerging protocols like Morpho, with more efficient point-to-point models, are cited as growing competitive threats. In summary, while institutional forecasts paint a macro picture of massive growth fueled by RWA adoption, Aave's path forward hinges on addressing its core structural limitations and competitive pressures within the evolving DeFi lending landscape.

链捕手Há 18m

Standard Chartered Bank’s 50-Fold Fantasy: Predicting AAVE to Reach $3,500

链捕手Há 18m

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

Tidal Investment remains optimistic about the AI industry chain, but the rationale has shifted. The market narrative has changed. While recent large-scale IPOs (e.g., SpaceX) and major fundraising plans by tech giants like Alphabet and Meta have caused some nervousness, this isn't a sign of an AI peak. The focus has moved from the initial question of AI's viability to the sustainability of massive investment cycles. The key players—primarily the major cloud providers—are not slowing down; their capital expenditure (Capex) guidance for 2026 has been increased across the board (e.g., Alphabet to $180B, Amazon to $200B). This investment cycle is proving resilient and difficult to stop. Unlike traditional hardware cycles, current AI Capex is distributed across multiple physical layers—computing, memory, networking, and critically, power infrastructure. Bottlenecks are shifting from chips to elements like electricity, transformers, and cooling systems, which have much longer lead times and cannot be easily pre-built like fiber optics during the dot-com bubble. Supply chain data (e.g., Eaton's 240% YoY data center orders) confirms this broad-based, project-driven expansion. Market concerns are acknowledged but viewed differently. First, while Capex growth currently outpaces revenue growth, raising ROI questions, this mirrors the early scaling phase of cloud computing itself. A change in view would require concrete signals like downward Capex revisions or missed AI product targets, which haven't materialized by mid-2026. Second, comparisons to the 2000 dot-com bust are flawed. That crash was driven by a massive, parallel oversupply of cheap capacity (fiber). The current cycle faces *supply constraints* in critical, capital-intensive physical infrastructure that cannot be overbuilt as easily. In conclusion, the wave of fundraising reflects the next, more complex act of the AI story. Physical bottlenecks and sustained high Capex plans suggest this is not the finale but an ongoing, capital-intensive build-out phase. The script has changed, but the play is far from over.

marsbitHá 1h

Tidal Investment: We Remain Bullish on the AI Industry Chain, But the Reasons Have Changed

marsbitHá 1h

Tidal Investment: We Remain Bullish on the AI Industry Chain, But for Different Reasons Now

Tidal Investments remains optimistic about the AI industry chain, but the rationale has shifted. The market is concerned about massive concurrent fundraising by tech giants like SpaceX, OpenAI, Alphabet, and Meta, fearing an AI peak. However, the authors argue this signals the next act of AI development, not its end. Capital expenditure (Capex) from major cloud providers (Alphabet, Amazon, Meta, Microsoft, Oracle) continues to surge aggressively into 2026. This investment cycle is more resilient than past hardware cycles due to its scale and complexity. Bottlenecks have shifted from chips to critical physical infrastructure like power grids, transformers, cooling, and data center construction—areas with long lead times and limited capacity for rapid expansion. Supply chain data (e.g., Eaton's orders) confirms substantial, tangible progress. Key market concerns are addressed: 1. **ROI vs. Capex Growth**: While Capex growth outpaces revenue, the authors note cloud giants have historically overcome similar phases through scale. The cycle will only be in danger if Capex guidance is cut, orders are canceled, or AI product demand falters—none of which are currently observed. 2. **Comparison to the 2000 Dot-com Bubble**: Unlike the telecom bubble, where cheap, oversupplied fiber crashed prices, AI infrastructure (especially power) is constrained, customized, and subject to lengthy approvals, making a similar supply glut and crash unlikely. In conclusion, the wave of fundraising reflects the immense, ongoing capital needs for AI's next phase, constrained by slow-moving physical bottlenecks. The AI cycle is not over; the script has simply changed.

链捕手Há 1h

Tidal Investment: We Remain Bullish on the AI Industry Chain, But for Different Reasons Now

链捕手Há 1h

Grayscale: These 15 Profitable Crypto Protocols Are Severely Undervalued

Grayscale Research identifies 15 top-revenue crypto protocols trading at significant valuation discounts, with many at single-digit or even 1x revenue multiples. Protocols like Pump.fun, PancakeSwap, and Meteora have market capitalizations roughly equal to their annual revenue. The report argues these financially-focused protocols (DEXs, lending, staking) are fundamentally undervalued and could benefit from the potential passage of the CLARITY Act, expected as soon as next month. This legislation aims to clarify digital asset regulation, potentially reducing institutional barriers and driving on-chain activity. The analysis breaks down the protocols into three groups: the "1x Club" (market cap ≈ revenue), mid-tier protocols with 3-9x multiples (e.g., Aave, Lido, Jupiter), and high-multiple protocols like Hyperliquid (15x) and Uniswap (37x), where valuation reflects future potential rather than current cash flows. Grayscale applies a traditional DCF model to Aave, suggesting a one-year price target of ~$175, representing ~130% upside from current levels. The report notes a risk-off macro environment since the Iran conflict has further compressed valuations, creating a potential entry window. The conclusion highlights that while the valuation data presents an intriguing opportunity, the investment thesis is contingent on the CLARITY Act's passage and subsequent institutional capital flows. Investors are cautioned to consider Grayscale's inherent conflict of interest as a crypto asset manager with products tied to these assets.

marsbitHá 1h

Grayscale: These 15 Profitable Crypto Protocols Are Severely Undervalued

marsbitHá 1h

Trading

Spot
Futuros
活动图片