印钞机启动,牛市继续!Polymarket预测美联储5月前结束QT

marsbit2025-03-16 tarihinde yayınlandı2025-03-17 tarihinde güncellendi

截至2025年3月16日,Polymarket 这个全球知名的预测市场平台上,一场关于“美联储将在2025年5月前结束量化紧缩(QT)”的预测已提前画上句号。市场以100%的概率结算为“是”,显示交易者对这一结果信心满满。这不仅是一个引人注目的信号,也为我们提供了一个机会,去梳理货币政策的来龙去脉,并展望未来可能的方向。

资产

Polymarket 的预测与结算:为何提前敲定?

Polymarket 是一个利用区块链技术的预测市场,用户通过买卖事件结果的合约来表达看法,市场价格则反映集体智慧。在“美联储将在2025年5月前结束QT”这个问题上,规则定得很清楚:如果美联储在2025年4月30日之前,其持有的证券数量(主要是国债和抵押贷款支持证券)出现周环比增加,市场就结算为“是”;如果没有增加,就结算为“否”。令人惊讶的是,截至3月16日,这个市场已经提前结算,结论是“是”。

资产

这意味着,在过去几周内,美联储的资产负债表可能已经停止缩减,甚至略有增长。或许是圣路易斯联邦储备银行的最新数据(FRED数据库)显示了证券持有量的回升,交易者迅速捕捉到这一变化,将概率推到100%。但距离4月30日的截止日期还有一个多月,提前结算是否合理?这让我们不禁想多问一句。


规则的合理性:数据说了算,还是操之过急?

Polymarket 的结算规则简单明了:只要4月30日前的某周证券持有量增加,QT就算结束。从这个角度看,规则有它的道理。QT 的本质是缩减资产负债表,一旦数据转向增长,就表明紧缩政策已经暂停甚至逆转。以客观数据为依据,避免了主观猜测,也让市场能快速反应——如果3月的数据已符合条件,提前结算就顺理成章。

但事情并非没有争议。QT的结束通常不只是数字上的变化,还需要美联储的明确表态。比如,上一次QT在2019年8月结束时,美联储提前一个月宣布了决定。如果当前的增长只是短期调整(比如为缓解流动性压力而临时购债),而不是政策转向,提前结算可能有些草率。更何况,4月还有时间,数据可能出现反复,这种不确定性让规则显得不够灵活。

尽管如此,Polymarket 的魅力就在于它的数据驱动和实时性。交易者显然相信,当前的增长不是偶然,而是QT终结的信号。规则或许不够完美,但结果已定,接下来我们不妨看看历史,看看上一次QT结束给我们留下了什么启示。


2019年QT结束后发生了什么?

历史是理解现在的一面镜子。上一次美联储结束QT是在2019年8月,那段经历或许能为今天提供线索。当时的QT始于2017年10月,美联储逐步减少资产负债表,从4.5万亿美元缩减到3.8万亿美元。原计划到2019年10月结束,但2018年底股市大跌,2019年9月回购市场利率飙升,流动性压力迫使美联储提前行动。2019年7月31日,FOMC宣布QT将于8月结束,随后政策转向中性。

此后发生了什么?让我们按时间线梳理,并看看比特币价格如何反应:

  • 2019年8月QT结束:资产负债表稳定在3.8万亿美元,美联储同时降息25个基点(从2.25%-2.5%降至2%-2.25%)。比特币价格当时在1万美元左右震荡,从6月的1.38万美元高点回落。QT结束并未引发即时大涨,市场似乎已提前消化这一预期。
  • 2019年9月回购危机:隔夜回购利率突然飙升,美联储通过短期回购操作注入流动性,资产负债表略增至4.2万亿美元。比特币价格跌至8000美元以下,更多受贸易战和技术调整影响,而非直接与流动性相关。
  • 2019年底至2020年初:美联储继续降息(10月降至1.5%-1.75%),资产负债表保持稳定。比特币价格在7000-8000美元区间盘整,为后续上涨蓄力。
  • 2020年3月疫情QE:疫情冲击下,美联储重启大规模QE,资产负债表激增至7万亿美元。比特币先跌至4000美元,后在QE和2020年5月减半推动下反弹,年底突破2万美元。

从这段历程看,2019年QT结束的短期影响有限,比特币未因政策转向而立即起飞。但长期来看,它为宽松周期铺路,叠加QE和减半,比特币在2021年飙至6.9万美元。如今,2025年的QT结束是否会重演类似剧情?我们先来了解一下货币政策的基本工具。


QT、QE、降息与加息:政策工具的四重奏

要读懂Polymarket 的预测和未来的可能性,得先明白美联储的几大招数:QT、QE、降息和加息。它们就像四把钥匙,打开不同的经济之门。

先说量化紧缩(QT)。这是美联储收紧流动性的手段,通过让到期债券自然退出,不再续买,来减少资产负债表规模。目的是抑制通胀或冷却经济。当前这轮QT从2022年6月开始,资产负债表从9万亿美元降至约6.5-7万亿美元。如果Polymarket 预测属实,3月的增长标志着QT已结束。

再看量化宽松(QE)。QE 是QT的反面,美联储通过购买债券向市场注入资金,压低利率,刺激增长。2020年疫情期间,QE让资产负债表从4.2万亿涨到9万亿。如今QT结束,QE会否重启是个悬念。

然后是降息。降息降低短期利率,减轻借贷成本,鼓励消费和投资。2019年QT结束后,降息紧随其后。如果2025年经济承压,降息可能再次登场。

最后是加息。加息提高利率,控制通胀,与QT常搭配使用。2022-2023年,利率升至5.25%-5.5%。未来若通胀抬头,加息可能回归,但眼下宽松预期更强。

这四者环环相扣。QT和加息收紧货币,QE和降息放松环境。Polymarket 的结算暗示,紧缩的篇章或已翻页。


未来展望

Polymarket 的提前结算为我们描绘了几种未来图景。让我们根据当前背景推演一下。

第一种可能是中性过渡。如果通胀稳定在2%-3%,经济放缓但不至于衰退,美联储可能在QT结束后保持资产负债表不变,利率也不动。股市和比特币会有温和上涨,但不会有太大波澜。

第二种可能是渐进宽松。如果失业率上升或增长疲软,美联储可能在下半年降息25-50个基点。风险资产会更有活力,美元可能走弱,债市也会回暖。

第三种可能是QE重启。如果金融市场遭遇危机,比如银行倒闭或衰退显现,美联储可能迅速购买债券,资产负债表再次扩张。这会像2020年一样,点燃股市和比特币的长期牛市。

目前是2025年3月16日,具体走向还不明朗。但Polymarket 的100%概率表明,市场看好宽松前景。接下来的FOMC会议和资产负债表数据将是关键风向标。

从2019年的历史看,QT结束是宽松的序曲,比特币虽未即刻起飞,却在随后政策支持下腾空而起。如今,2025年的QT谢幕可能重现这一轨迹。无论是QT、QE,还是降息加息,美联储的每一步都在拨动市场的琴弦。未来几个月,投资者需要保持敏锐,紧盯数据和声明,因为货币政策的下一章,正在缓缓展开。

İlgili Okumalar

Doubao and Qwen Will Discontinue Agent Functionality on July 15

On July 4th, Doubao and Tongyi Qianwen announced the impending shutdown of their user-created "AI Agent" features. Doubao confirmed its agent feature will be taken offline on July 15, directing users to ByteDance's CatBox app for similar needs. On the same day, Tongyi Qianwen notified users, specifying that personalized interactive agents and user-built agent functions will cease on July 10, with all agent features and services completely deactivated by July 15. After this date, access to agent configurations and historical chat records will be lost. This adjustment impacts core user scenarios like role-playing, personal assistants, and vertical tool agents. The shutdown date coincides with the official implementation of China's "Interim Measures for the Administration of Artificial Intelligence Human-like Interactive Services" on July 15. The new regulations impose strict rules on "human-like emotional interaction services," requiring platforms to implement measures like anti-addiction systems, minor verification, and content moderation. This move is widely seen as a proactive step by the platforms to align with regulatory timelines and mitigate compliance risks. Additionally, commercial challenges are a key driver. Analysis suggests that casual, human-like chat agents generate high-frequency, low-value interactions, leading to high computational costs with poor monetization. As the AI application market shifts from user growth to proving value, sustaining such "high-cost, low-efficiency" user-generated content becomes difficult. Both platforms have outlined transition plans. Doubao will allow data viewing and self-backup for a period after shutdown, with data scheduled for permanent deletion by October 15. Tongyi Qianwen similarly advised users to save important content via copying or screenshots before the deadline. This strategic retreat from C-end agent features signals a broader market shift. Compliance capability and sustainable business models are replacing user scale and feature richness as the new core competitive dimensions. Tongyi Qianwen's recent move to fully open its Agent and Skill platforms to third-party enterprises and developers further underscores a strategic pivot from low-value C-end services to high-value B-end enterprise scenarios.

marsbit42 dk önce

Doubao and Qwen Will Discontinue Agent Functionality on July 15

marsbit42 dk önce

Why Did Codex and ChatGPT Merge? What's Next for Codex? OpenAI Core Leader Answers Everything

In 2026, OpenAI's Codex saw explosive growth, with weekly active users surging over 5x to 5 million since January, driven largely by the February launch of its desktop app. Codex desktop lead Andrew Ambrosino explains key shifts behind its evolution. A core change is the inversion of development costs: implementation is now cheap, while curation and taste—judging which of many AI-generated prototypes is valuable—have become the new scarcities. Ambrosino defines taste as a blend of aesthetics, systems thinking, direction, and semantic coherence in interaction. He notes AI still struggles with design because evaluating it requires human cultural context and abstract reasoning about how components relate—capabilities beyond current models. Timing is critical: the same Codex app would have failed months earlier; success hinges on the model's capabilities at launch. Roles are blurring within his team, with engineers, designers, and PMs overlapping significantly. However, Ambrosino cautions against eliminating specialized roles entirely, as each field retains deep expertise. On AI-assisted development, the focus has shifted from measuring code written by AI to distinguishing between supervised and unsupervised generation. A current challenge is teaching models to simplify code, not just add complexity. The merger of Codex and ChatGPT stems from observed user behavior: non-developers adopted Codex for general knowledge work despite its developer-centric interface. This revealed a collapsing boundary between specialized tools and universal assistants. The vision is a "home base" that orchestrates tasks across external professional tools (like Excel or Premiere Pro) via connectors, rather than rebuilding everything internally. An internal example showed Codex helping edit video by interacting with Premiere Pro's files and even writing a plugin for it. The future direction is a unified, extensible platform that serves as a central hub for automating and managing work across any specialized tool the user employs.

marsbit53 dk önce

Why Did Codex and ChatGPT Merge? What's Next for Codex? OpenAI Core Leader Answers Everything

marsbit53 dk önce

İşlemler

Spot
活动图片