顶部信号已现,市场趋势或迎反转?

深潮Pubblicato 2025-09-14Pubblicato ultima volta 2025-09-15

美联储会议后,市场出现回调的概率极高,建议先锁定现有收益。

撰文:arndxt

编译:Saoirse,Foresight News

编者按:市场正处于微妙的转折点。作者认为,在利率高企的背景下,资产却持续上涨,这种诡异的平衡即将被打破。作者特别指出,当前另类币未平仓合约量已首次超过比特币,而这一情况在前两次出现时均对应局部顶部,堪称历史见顶信号;同时,美联储会议后存在 88% 的回调概率,使得风险回报比严重倾斜。基于此,作者建议,此时锁定收益或是规避回调的最佳策略,投资者需提高警惕,及时调整投资布局 。

当前趋势已接近尾声。

目前,我们建立的研究模型显示,市场正临近趋势反转节点。从风险与回报比来看,当前格局已明显失衡:美联储公开市场委员会(FOMC)会议后,市场出现回调的概率极高。

建议在最后一波行情到来前,先锁定现有收益。

图片来源:@RamboJackson5

自去年 12 月以来,另类投资(除比特币以外的加密货币)的未平仓合约量首次超过比特币;而历史上最后两次出现这一现象时,市场均恰好迎来了局部顶部。

如今,或许只有 1% 的市场参与者能感受到真正的市场狂热。对其余所有人而言,真正的赢家将是那些在流动性紧缩时期,围绕「能持续吸引市场关注的资产」进行布局的投资者。

当前市场的核心特征的是:流动性呈现「选择性集中」态势,宏观环境整体偏空,法定货币持续贬值。即便在这样的不利环境下,资产价格仍在逆势上涨。

本轮周期与以往最大的不同在于:2021 年的市场周期由流动性驱动 —— 当时信贷成本低廉、流动性充裕,风险资产全面受益于宽松环境;

2025 年的市场则完全不同:当前利率高企、流动性紧张,但风险资产(比特币、股票,甚至黄金)仍在逐步走高。

为何会出现这种矛盾?核心驱动力在于法定货币贬值 —— 投资者正通过配置资产来对冲现金贬值的风险。

这一趋势彻底改变了市场节奏:以往「全面普涨」的风险偏好行情,正被「资金向优质、高韧性资产集中」的结构性行情取代。市场逻辑已从「盲目追逐所有资产」转向「精准把握时机、保持耐心、严守纪律」。

归根结底,法定货币本身的贬值是关键。如今投资者配置资产,不仅是为了追求收益增长,更是为了规避现金贬值的风险。

  • 2021 年:流动性扩张驱动增长 → 风险资产表现领跑;

  • 2025 年:法定货币贬值驱动增长 → 硬资产(黄金、大宗商品等)与优质标的表现强劲。

这种市场逻辑的转变让投资难度显著上升 —— 你无法再依赖「资金泛滥、遍地机会」的环境。但对能够适应新逻辑的投资者而言,这也意味着更明确的结构性机会。

流动性现实核查

尽管市场出现诸多看涨信号(比特币市值占比下降、另类投资未平仓合约量超过比特币、CEX 代币轮动上涨),但整体流动性仍处于稀缺状态。过去数年,由 Meme 币催生的「割韭菜式项目」以及名人站台发行的代币,让许多投资者患上了「投资创伤后应激障碍(PTSD)」。

图片来源:@JukovCrypto

受「投资 PTSD」影响,许多交易员热衷于追逐「新上线的热门项目」以寻求短期刺激,却几乎没有为真正的项目开发者提供持续的资金支持。

其结果是,市场流动性正不断向「高市值、拥有忠实社群的资产」集中 —— 这类资产能够持续吸引市场关注和资金流入。

美联储与债券市场

债券市场已提前消化了「市场下行」的预期。根据 FedWatch 工具数据,市场认为美联储降息 25 个基点的概率约为 88%,降息 50 个基点的概率仅为 12%。需要注意的是:

  • 从历史数据看,「首次降息 50 个基点」通常被视为经济衰退的信号,往往会导致市场陷入「缓慢失血」状态;

  • 而「首次降息 25 个基点」则更多被解读为「经济软着陆」的信号,对经济增长具有支撑作用。

当前市场正处于关键转折点。结合季节性指标来看,美联储公开市场委员会会议后,市场波动率上升的风险已逐渐显现。

核心结论

「持续稳健」胜过「短期炒作」;

「耐心布局」胜过「FOMO(错失恐惧)」;

「精准择时」胜过「追求 Alpha(超额收益)」。

下面将从宏观事件前瞻、比特币热度指标、市场全景回顾以及核心经济数据解读等角度展开具体分析,数据截止到 2025 年 9 月 14 日。

宏观事件前瞻

上周回顾

下周预告

比特币热度指标

市场全景回顾

  • 狗狗币 ETF 里程碑:REX Shares 与 Osprey Funds 联合推出的 DOJE ETF,成为美国首只直接追踪狗狗币价格的基金。这一事件标志着「Meme 币」在传统金融市场获得一定认可,但由于狗狗币缺乏实际应用场景,预计其需求仍将以散户为主。

  • 芝加哥期权交易所(Cboe)永续期货计划:拟推出的比特币与以太坊期货合约期限最长可达 10 年,采用每日现金结算机制。若该计划获得监管批准,有望降低投资者的展期成本、丰富机构投资者的衍生品策略,并提升市场流动性。

  • 蚂蚁数字资产代币化:蚂蚁数字(Ant Digital)将 84 亿美元可再生能源资产与蚂蚁链(AntChain)绑定,实现了「实时生产数据追踪」与「自动化收益分配」。这一「机构优先」的模式,凸显了区块链技术在大规模基础设施融资中的应用价值。

  • Forward 公司的 Solana 金库布局:由 Galaxy 与 Jump Crypto 牵头的 16.5 亿美元私募股权投资(PIPE),使 Forward Industries 成为 Solana 生态的核心持仓机构之一。这是机构资金首次大规模布局「比特币、以太坊之外的加密货币资产」,有望重塑 Solana 的资本市场叙事。

核心经济数据解读

对普通用户的核心启示

  • 就业市场收紧:尤其是传统行业的就业机会减少,建议通过技能提升转向医疗、服务业等抗风险能力较强的领域。

  • 购买力短期改善,但风险仍存:当前薪资购买力有所提升,但关税驱动的通胀可能很快侵蚀这一红利,建议谨慎进行大额消费。

  • 债务缓解机遇临近:若利率下调,债务压力可能得到缓解,但当前家庭财务压力正持续上升,建议保持保守预算,并为债务再融资做好准备。

  • 投资波动率上升:降息可能短期提振市场,但通胀风险可能导致收益快速回吐,需警惕波动风险。

劳动力市场动态

  • 新增就业岗位持续减少 → 岗位竞争加剧,低技能岗位尤为明显;

  • 行业分化显著:医疗(+4.68 万个岗位)、酒店服务业(+2.8 万个岗位)需求仍强劲;但制造业、建筑业、商业服务业的招聘活动已明显放缓;

  • 就业增长大幅降温:新增就业岗位从 2024 年第四季度的 86.8 万个,降至 2025 年第一季度的 49.1 万个、第二季度的 10.7 万个;2025 年 8 月仅新增 2.2 万个岗位,接近停滞状态;

  • 行业分化背后的原因:关税压力、投资不确定性,以及移民政策对劳动力供给的限制,导致周期性行业(制造业、建筑业等)收缩。

薪资与劳动力参与率趋势

  • 薪资同比增长 3.7%:增速虽低于此前水平,但仍高于通胀率,意味着实际购买力略有提升 —— 这是当前经济环境中少有的积极信号;

  • 需警惕关税通胀风险:若关税导致商品价格上涨,薪资增长带来的购买力提升可能快速消失;

  • 收入增速:同比增长 3.7%,为 2021 年年中以来最低水平,虽缓解了「薪资 - 通胀螺旋」压力,但仍高于通胀,对消费者购买力形成净利好;

  • 劳动力市场结构:劳动力参与率缓慢上升,但失业率已升至 4.3%(2021 年以来最高),就业压力主要集中在低技能劳动力群体,高技能、高学历群体就业仍保持稳定。

宏观经济影响

  • 利率下调窗口临近:若美联储如预期降息,抵押贷款、消费贷款、信用卡等融资成本有望下降;

  • 家庭债务压力上升:当前信用卡、汽车贷款、学生贷款的违约率持续攀升,若你正面临债务压力,建议提前规划 —— 今年晚些时候再融资环境可能改善;

  • 债券市场动态:10 年期美国国债收益率降至 4.1%(10 个月来最低),反映市场已提前定价「经济放缓 + 美联储降息」预期;

  • 美联储政策展望:期货市场显示,9 月降息概率约为 90%,年底前预计降息 2-3 次 —— 尽管通胀仍有粘性,但市场仍押注美联储将采取激进宽松政策;

  • 金融压力分化:家庭部门面临信贷违约上升、学生贷款偿还重启的双重压力,而企业部门的融资环境仍保持宽松。

战略启示

  • 经济呈现「分化格局」:机构(企业、金融市场)享受宽松融资环境,家庭部门则面临财务压力上升;

  • 政策陷入「两难困境」:美联储若降息,可能加剧通胀;但若不降息,就业放缓与债务违约上升的压力又将加剧;

  • 投资布局建议:

  • 抗风险领域:医疗、酒店服务业 —— 受益于人口结构与体验消费需求;

  • 高风险领域:贸易敏感型行业(制造业、建筑业)—— 受关税与劳动力供给瓶颈影响较大;

  • 宏观环境总结:降息预期 + 劳动力市场放缓,可能推动资产价格反弹,但通胀风险将导致股票、信贷、大宗商品等资产呈现「非对称波动」。

欧元区政策展望

  • 通胀现状:虽较 2022 年高点显著回落,但仍高于目标水平且呈「平台期」特征,限制了欧洲央行(ECB)的宽松空间;

  • 政策分化风险:美联储因「就业放缓」倾向于宽松,欧洲央行因「通胀粘性」保持谨慎 —— 这种分化可能加剧欧元兑美元汇率波动;

  • 投资者视角:

  • 利率:欧洲央行降息空间有限,欧元区债券收益率可能保持相对高位;

  • 股票:服务业通胀回落有利于企业盈利,但全球关税导致的成本冲击可能压缩利润空间;

  • 宏观风险:经济增长动能疲软,但欧洲央行难以宽松,可能陷入「轻度滞胀」格局;

  • 欧洲央行立场:当前通胀仍高于 2% 的目标,9 月降息概率较低,12 月是否降息仍存不确定性;

  • 市场预期:期货市场显示,年底前降息概率约为 50%—— 市场偏向宽松预期,但欧洲央行释放的信号仍偏谨慎;

  • 拉加德(欧洲央行行长)表态:采取「观望策略」,倾向于维持当前利率,避免过早宽松。

全球联动影响

  • 关税溢出风险:美国加征关税可能通过全球供应链推高输入性成本,欧洲央行官员(施纳贝尔)已将此列为欧元区通胀的「上行风险」;

  • 传导机制:即便欧元区内需疲软,「输入性通胀(高成本进口)」仍可能限制欧洲央行的政策灵活性。

中国市场聚焦

当前中国正采取「双轨策略」:在政治层面通过加强与印度的合作应对外部冲击,在经济层面则通过注入流动性、引导市场预期来缓解经济脆弱性。

  • 核心逻辑:寄望通过技术领域的领先地位,弥补经济增长的短板;

  • 潜在风险:若实体经济持续停滞,而市场仅靠流动性支撑维持高位,可能导致表面繁荣下的结构性脆弱。

关税影响现状

  • 中金公司(CICC)数据显示:中国出口企业仅承担了 9% 的美国关税成本,远低于欧洲和东南亚企业的承担比例;

  • 背后含义:美国进口商当前正自行消化关税成本,压缩自身利润空间。这种模式难以持续 —— 最终美国消费者将面临物价上涨,进一步加剧通胀风险;

  • 中国出口压力:中国对美出口持续下滑,工厂闲置率上升,可能对国内稳定形成潜在压力,这一脆弱性虽不显眼,但影响关键。

地缘政治格局重塑

  • 美国「对华遏制」策略遇挫:美国因印度进口俄罗斯石油而对其加征 50% 关税,削弱了自身构建的「对华围堵」联盟;

  • 中国的战略应对:迅速抓住这一裂痕,促成印度、俄罗斯在京举行多年来首次三边会谈;

  • 关键洞察:若中国与印度深化合作,美国主导的「四方安全对话(Quad,成员包括美、日、澳、印)」可能面临战略空心化风险。

资本市场的「安全阀」作用

  • 市场与经济的背离:尽管中国经济基本面疲软,但股市仍创下 10 年新高 —— 这一上涨并非由企业盈利驱动,而是源于「流动性注入」与「22 万亿美元居民储蓄从存款(收益率约 1%)向股市转移」;

  • 吸引力逻辑:10 年期国债收益率仅 1.7%,使股票在「相对收益」上具备结构性吸引力;同时,全球投资者也在追逐中国在技术领域的优势标的;

  • 核心洞察:当前市场乐观情绪是对「流动性宽松 + 技术叙事」的押注,而非对实体经济复苏的信心。

宏观风险预警

  • 泡沫风险:若实体经济无法实现真正复苏,当前股市上涨可能演变为又一轮「流动性驱动型泡沫」;

  • 政策依赖加剧:若出口持续下滑、居民消费需求疲软,中国可能需要进一步加大货币宽松力度,并通过更多资本市场调控手段维持市场稳定。

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**Tau Scaling: Huawei's New Growth Engine for the Post-Moore Era** For 60 years, progress in semiconductors was driven by Moore's Law – making transistors smaller, denser, and cheaper. This path has now stalled due to plummeting returns below 7nm, astronomical lithography costs, and rising per-transistor expenses. After six years and testing 381 production chips, Huawei’s semiconductor team proposes a fundamental shift: **stop competing on size, start competing on time**. This is the core of their "τ (Tau) Scaling" theory. It treats *time* as the key optimization metric, compressing characteristic delays (τ) across all levels – from transistor switching (picoseconds) to data center tasks (seconds), spanning 12 orders of magnitude. **What is τ Scaling?** It holistically minimizes delay/time constants (τ) across four layers: transistors (switching speed), circuits (signal delay), chips (compute/memory access), and systems (end-to-end communication). The goal is to align optimization from process and circuit design to architecture and systems using this unified metric. **Mobile Application: LogicFolding** Without advancing the process node, this technique vertically stacks chips using ultra-precision hybrid bonding, distributing critical paths across layers ("stacking floors"). Results include a 55% transistor density increase, 41% better energy efficiency, over 40% higher SRAM frequency, and a roadmap targeting 4GHz by 2029. **AI Data Center Application: Full-Link Latency Compression** With 80% of AI cluster energy and 70% cost spent on data movement, the focus is slashing communication time. Key innovations include: 1. **Unified Bus:** Cuts multi-layer protocols, reducing remote access latency from microseconds to ~100 nanoseconds – 500x faster. 2. **Hi-ONE Optical Interconnect:** Replaces copper with fiber, enabling 8Tb/s per module and scaling distances from 1m to 100m for 10,000-chip clusters. 3. **3D Folding:** Solves the "interface bottleneck" of 2.5D packaging by vertically integrating memory, power, and optical I/O alongside compute, predicting over 100x integration density gain by 2035. **Re-fusion of Logic and Memory** The AI era, where data movement is more critical than computation, demands tight 3D integration of logic and memory, shifting industry influence towards memory and advanced packaging. **Remaining Challenges** include adapting EDA tools for 3D design, optimizing wafer-to-wafer process variation and vertical interconnect losses, and establishing new energy efficiency and benchmarking standards. **Conclusion:** The era of scaling physical dimensions is over. The era of scaling time has begun. By leveraging 3D stacking, system architecture, and interconnect optimization—rather than solely chasing advanced lithography—performance and efficiency can continue to advance. This is poised to be the semiconductor industry's core roadmap for the next decade.

marsbit1 h fa

τ Scaling: Huawei's New Growth Engine Designed for the Post-Moore Era

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NodeStrategy: The First Ordinals DAT Project, Bringing the Strategy Treasury Narrative to NFTs

**Summary: The Fundamental Flaws of NodeStrategy, the 'First Ordinals DAT'** NodeStrategy presents itself as the first Ordinals Digital Asset Treasury (DAT) on Bitcoin. Its model mirrors MicroStrategy's treasury narrative but for NFTs, specifically targeting the NodeMonkes collection (not officially affiliated). The project's core mechanism is a four-step flywheel: a 10% fee on all trades (90% to treasury, 10% to radFi/Bound marketplace) is used to buy NodeMonkes. These NFTs are then listed for sale on Satflow, with 100% of the sale proceeds used to buy back and burn the project's token, NODESTRAT, aiming to create a perpetual value cycle. However, the design contains critical, self-defeating flaws: 1. **Platform Lock-In:** As a Bitcoin Rune, NODESTRAT lacks smart contract functionality and cannot natively enforce the 10% fee. The fee can only be collected on the radFi/Bound marketplace itself. This makes the entire flywheel dependent on a single platform. If liquidity moves elsewhere, fee revenue drops to zero, halting the mechanism. 2. **Self-Suffocating Economics:** The 10% fee acts both as the flywheel's fuel and a major drag on demand. A buy/sell roundtrip incurs a 20% cost, creating a massive hurdle for traders. This strangles the very trading volume needed to generate fees. 3. **Ineffective Value Support:** The flywheel is starved. Low daily volume (~$9K) generates minimal fees for NFT purchases. The NFT "ladder" sales are slow and unpredictable (only 39 total sold), meaning buybacks are infrequent. While 30.77% of the supply has been burned, this supply reduction cannot lift price without corresponding demand, which is suppressed by the high transaction tax. 4. **Meaningless NAV:** The Net Asset Value (NAV), currently at a 0.46x discount to market cap, is merely a marketing figure. There is no redemption mechanism for token holders to claim the underlying NodeMonkes assets. Price is set by market liquidity flows, not by this theoretical backing. In essence, NodeStrategy's design forces its revenue source (trading fees) to simultaneously cripple the demand and liquidity required for its own success, trapping the project in a stagnant state.

marsbit1 h fa

NodeStrategy: The First Ordinals DAT Project, Bringing the Strategy Treasury Narrative to NFTs

marsbit1 h fa

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