华尔街萌喵

📡 抓取全球政经异动，无损剥离媒体情绪与废话噪音。
📊 每日推送美股关键指标、宏观数据与机构资金流向。
⚖️ 不做主观下注预测，只为你提供顶级交易员所需的事实。

[华尔街萌喵 @BullishMeow]

🔥 只要大盘或个股被机构向上推过关键阻力位，庞大的做空盘就会立刻被迫止损，被直接抬走。他们平仓买入的动作，将化作暴涨的纯粹燃料。你以为在执行风控，其实只是在给对手盘提供流动性。

[华尔街萌喵 @BullishMeow]

🌪️ 散户热衷于讨论“衰退降临”并重仓看跌，但现在的市场早已不是“做多与做空”的宏观辩论，而是“左侧埋伏与空头踩踏”的绞肉机。

📉 美国消费者信心确实跌至冰点，但标普500中位数股票的空头头寸却创下了2012年以来的新高。这种极端的空头拥挤，恰恰暴露了市场最大的脆弱性。

[华尔街萌喵 @BullishMeow]

🛡️ 在“先收集后解密”的威胁下，PQC硬件更新是机构眼下必须掏钱的合规刚需。聪明的筹码从来不赌虚无缥缈的技术突破，他们只在左侧买入确定性的商业订单。买入刚需，而不是买入想象。

[华尔街萌喵 @BullishMeow]

🧊 大众还在追高80天翻30倍的AI微盘股，真正的合规资金已经悄悄向后量子安全（PQC）转移。

💡 散户误以为买量子计算就是赌哪家公司先造出科幻硬件，把纪律溃败伪装成拥抱未来的信仰。但事实是，纯量子硬件的胜率极低，而防御量子破解的安全需求已经在落地。

[华尔街萌喵 @BullishMeow]

📉 第二，英伟达目前单体占标普500权重高达8%，体量超过整个德国经济。这种极致的集中度意味着一旦发生流动性挤兑，抛压将带崩大盘，直接原地破防。

🧠 用二阶思维推演市场博弈：永远不要只盯着新资产的狂欢，要向下看透存量池子里，谁会成为被动提款机。

[华尔街萌喵 @BullishMeow]

💥 OpenAI和SpaceX若集中上市，就是英伟达等存量AI龙头被动遭殃的倒计时。市场正在上演一场2000亿美元级别的流动性置换。

📉 第一，华尔街没有凭空变出的新钱。为了腾仓位打新超级独角兽，机构只能卖掉账面浮盈最厚的筹码。

[华尔街萌喵 @BullishMeow]

极端空头仓位引发的逼空预警。信号：标普500中位数股票空头头寸创2012年以来新高。左侧优势：筛选高空头比例且基本面有边际改善的错杀股，提前埋伏看涨期权，博弈空头踩踏带来的爆发性收益。

https://t.co/41mz4V79QV

[The Kobeissi Letter @KobeissiLetter]

Short interest on US stocks is at multi-year highs:

Short interest in the median S&P 500 stock is up to 3.0% of market cap, the highest since 2012.

This is DOUBLE the levels seen during the 2020 pandemic.

By comparison, at the peak of the 2008 Financial Crisis, short interest in the median S&P 500 stock stood at 3.8%.

Furthermore, short interest among the most heavily shorted 10% of S&P 500 stocks is up to 8.0% of market cap, the highest since 2018.

Both metrics are now even higher than during the bear market following the 2000 Dot-Com Bubble burst.

Are markets setting up for a short-squeeze?

[华尔街萌喵 @BullishMeow]

私人信贷市场的流动性枯竭危机。信号：黑石800亿美元旗舰信贷基金遭遇赎回潮。左侧优势：警惕高息环境对非标资产的侵蚀，逐步减仓高收益债，通过做空相关信贷ETF或买入信用违约互换对冲风险。

https://t.co/6DNUq95XYH

[kristen shaughnessy @kshaughnessy2]

Blackstone’s Giant Fund Hit by Redemption Rush

Investors are pulling money fast, testing the fund’s ability to pay everyone back.

“Gross inflows at the $80 billion fund dropped to $1.9 billion in the first quarter… while repurchase requests increased to $3.2 billion.”

[华尔街萌喵 @BullishMeow]

后量子密码学（PQC）的合规级爆发。信号：量子安全已被列为刚需支出，相关标的正迎来硬件更新周期。左侧优势：在市场仍在炒作量子硬件的不确定性时，提前布局具有实际订单和合规驱动的PQC安全标的。

https://t.co/wVvssm6ge3

[Rand Group @randgroup]

The Quantum Sector Map: Every Public Company You Need to Know

I've been mapping this space quietly for months and I think quantum is where AI was in early 2023.

Most people can't name more than two or three tickers. By the time they figure out the landscape, the early positioning window is gone.

2026 is the year quantum became a real investable sector. Three new IPOs already landed. Quantinuum filed its S1 targeting a $20B valuation. The $QTUM ETF ripped 73% in a year. And McKinsey projects the total market hitting $100B within a decade.

People see $IONQ pump 72% in seven sessions and think that's the whole story. It's not even close.
Here's the full map, broken down by sector. Bookmark this one.

🔬 PURE PLAY QUANTUM HARDWARE

These companies are building actual quantum computers. Different architectures, different bets on which physics wins. All racing toward fault tolerant systems.

$IONQ : Trapped ion tech. First public quantum company to cross $100M in revenue ($130M in 2025). Guiding $225M to $245M for 2026. ~$19B market cap. Cloud distribution through AWS, Azure, and government contracts. Also acquiring SkyWater Technology to vertically integrate manufacturing. This is the closest thing to a "blue chip" in quantum right now, if that term even applies to a sector this early.

$RGTI : Rigetti. Superconducting qubits. Modular chip architecture built for scalability. Down ~10% YTD after missing Q4 revenue by 22%. Still one of the OG pure plays. I think the architecture has merit but execution has been inconsistent.

$QBTS : D-Wave. The original quantum company. Uses quantum annealing, which is a specialized technique for optimization problems. 83% gross margin. Not gate based like the others. Completely different bet. Interesting if annealing finds its niche before gate based catches up.

$QUBT : Quantum Computing Inc. Photonic approach. Room temperature, low power. Acquired Luminar Semiconductor in Feb 2026 for photonic manufacturing, then NuCrypt in March to add quantum communications. Building a vertically integrated photonics platform. The acquisition pace tells you management sees a window closing.

$INFQ : Infleqtion. First neutral atom quantum company to go public (Feb 2026, raised $550M). Uses cold atom arrays. Atoms as found in nature rather than manufactured qubits. The tech is efficient and reliable but slower. Trading around $11. This one is interesting to me because neutral atom is the approach that could surprise everyone.

$XNDU : Xanadu. IPO'd March 2026. First pure play photonic quantum computing company on public markets. Photons transmit quantum data over long distances, which is critical for networking quantum machines together. If quantum networking becomes the bottleneck (and I think it will), photonic architectures have a natural advantage.

$HQ : Horizon Quantum. IPO'd March 2026. Raised ~$120M. Pre revenue. Very early.

Quantinuum (not yet public) : Honeywell's quantum subsidiary. Filed S1 targeting ~$20B. Trapped ion architecture like $IONQ but claims higher quantum volume and lower error rates.

H2 processor hit a quantum volume of 2^25. Only $31M revenue in 2025 with $192M net loss. The biggest quantum IPO in history if it prices. My honest take: the $20B valuation feels aggressive when $IONQ just crossed $20B with 4x the revenue. But the tech credentials are elite. Watch this one very closely.

⚡ POST QUANTUM SECURITY

This is the part of quantum most investors completely miss. And personally I think it might be the smartest near term play.

While quantum computers are still being built, the security world is already racing to defend against them. The "harvest now, decrypt later" threat means adversaries are collecting encrypted data TODAY to crack it once quantum machines are powerful enough. That makes post quantum cryptography (PQC) an immediate spending priority, not a future one.

The PQC market is projected to grow from $420M to $2.84B by 2030 at a 46% CAGR. Unlike quantum hardware, this revenue is compliance driven and happening now.

$SEALSQ : Quantum resistant semiconductors with post quantum algorithms embedded at the chip level. Targeting IoT, automotive, identity management. ~$220M cash. One of the best capitalized names in this subsector.

$ARQQ : Arqit Quantum. UK based. Software only quantum safe encryption. Products include NetworkSecure and Encryption Intelligence. Intel partnership. Revenue growing from $67K in H1 2025 to $623K in H1 2026. Tiny numbers but the contract pipeline is accelerating across telecom and defense. The kind of company that either 50x or goes to zero. No middle ground.

$QNC : Quantum eMotion. Listed on NYSE American in Feb 2026. Patented Quantum Random Number Generator. Just acquired SKV Technology for its SecureKey platform. Targeting financial services, healthcare, blockchain, and government. The crypto/blockchain angle here makes this particularly relevant for our space.

$BTQ : BTQ Technologies. Building blockchain infrastructure hardened with PQC. Early stage, low revenue. But the PQC x blockchain intersection is a narrative I expect to hear a lot more about as quantum threats to cryptographic standards become mainstream talking points.

🏭 TECH GIANTS WITH QUANTUM DIVISIONS

The biggest quantum budgets on the planet don't belong to the pure plays. They belong to the usual suspects. And honestly, for risk adjusted exposure, these might be the smartest entries.

$GOOG : Google Quantum AI. The Willow chip (105 qubits) achieved "below threshold" quantum error correction. This is the single most important quantum milestone in recent history. Adding more qubits now reduces errors instead of amplifying them. That changes the entire scaling equation.

$IBM : Most mature quantum program in the industry. Superconducting qubits, open source tools, cloud access. They've shipped more quantum systems than anyone. Also deeply involved in post quantum cryptography standardization with NIST.

$MSFT : Microsoft's topological qubit approach is the ultimate moonshot. Completely different physics from everyone else. Also partnered with Quantinuum to achieve "Level 2 Resilient" logical qubits. If topological works, it leapfrogs the field. Big if.

$AMZN : AWS Braket provides cloud access to multiple quantum hardware platforms. The marketplace play. Whoever wins hardware, Amazon collects the toll. Classic Bezos energy.

$HON : Honeywell. Majority owner (~54%) of Quantinuum. If the IPO lands at $20B, Honeywell's stake alone is worth over $10B. They're also splitting into three companies in 2026. The quantum spinoff optionality here is underpriced in my opinion.

$NVDA : Not a quantum company per se, but quantum simulations run on GPUs. As quantum/classical hybrid workflows scale, NVIDIA sits right at the intersection. You get stability, earnings growth, and quantum optionality all in one.

🔧 COMPONENTS, MATERIALS & EQUIPMENT

The picks and shovels layer. Companies making what goes inside quantum systems or enabling the PQC hardware refresh.

$LSCC : Lattice Semiconductor. First to ship post quantum compliant FPGAs (CNSA 2.0). Their MachXO5 NX family integrates NIST standardized algorithms. Revenue estimate $631M for 2026 (+21%). The compliance driven PQC hardware refresh cycle is their tailwind. This one doesn't get enough attention.

$MCHP : Microchip Technology. Crypto agile MCUs and FPGAs for the post quantum transition. Embedded security solutions. Not pure play but deep in the quantum security supply chain.

$NXPI : NXP Semiconductors. Quantum safe hardware at chip level. Secure key storage, encryption accelerators, cryptographic modules across automotive, financial services, and IoT.

📡 QUANTUM NETWORKING

The earliest and potentially most important subsector. Networking quantum machines together is what unlocks the real compute power.

QUBT is expanding here via its NuCrypt acquisition. $XNDU's photonic approach has natural networking advantages. Several security names ( ARQQ, $SEALSQ) also overlap into this space.

This category barely exists as a tradable theme yet. But I think two years from now people will look back and wish they'd paid attention to quantum networking the way they wish they'd mapped the AI inference buildout earlier.

📊 THE ETF PLAY

$QTUM : Defiance Quantum ETF. ~84 companies. Modified equal weight. Up 73% in one year, 176% over five. ~$3.7B AUM. 5 star Morningstar rating. If you want broad exposure without single stock blowup risk, this is the cleanest vehicle available.

🧠 FINAL THOUGHTS

The global quantum computing market goes from $3.5B (2025) to an estimated $20B by 2030. McKinsey sees $850B by 2040.

Quantum equity funding in the first nine months of 2025 hit $3.77B. Nearly 3x all of 2024.

We went from 6 pure play public quantum companies to potentially 12 by year end 2026. That's the kind of expansion that creates the early mover setups most people only recognize in hindsight.

I'm not saying buy everything on this list. I'm saying map it. Understand the layers. Know where the architectures differ. Know where the revenue is real versus aspirational.

This sector is where AI stocks were before ChatGPT made everyone a believer. The difference is the quantum crowd hasn't had its "ChatGPT moment" yet. When it comes, the people who already mapped the landscape will move first.

[华尔街萌喵 @BullishMeow]

华为在芯片封装上绕过EUV限制，并可能倒逼西方采用中国标准，这是否意味着半导体行业的投资逻辑应从“算力垄断”转向“先进封装与架构重构”？

https://t.co/kJSaS2sYMF

[Jukan @jukan05]

Huawei's latest announcement carries real significance, because China has, in effect, shown the direction in which advanced technology needs to move. And it has done so in cutting-edge semiconductors, no less.

China has long been a follower. In semiconductors, Western technology played the role of the pioneer, while China was preoccupied with simply keeping pace.

But by banning EUV exports to China, the U.S. manufactured a bottleneck at the lithography tool — and in doing so, it effectively forced creativity onto China.

To circumvent the sanctions, China was pushed toward approaches the West had never needed to take.

That is exactly what today's announcement represents.

Where Nvidia co-designs memory, packaging, and logic to optimize TCO at the system level — doing it rack by rack — Huawei is doing the same thing at the chip level.

I'll say it again: this is a genuinely striking approach. Memory makers are already struggling with cost scaling. As linewidths shrink, the resources required to keep shrinking them — capital, manpower, time — are climbing exponentially.

So the day will come when the West, too, must make packaging, logic, and memory collaborate from the node-design stage. And it won't be far off.

China, through the paradox of sanctions, has been driven to do this ahead of the West — unintentionally.

This is what genuinely frightens me. As YMTC has already demonstrated, U.S. sanctions pushed China to skip the incumbent standard and jump straight to the next-generation one.

The result? YMTC carved out a meaningful presence in hybrid bonding — and even Samsung, the king of NAND, ended up licensing YMTC's patents.

I believe the West may well find itself licensing this Huawei technology a few years down the road. And I believe cases like these will multiply, spreading China-style standards in their wake.

[华尔街萌喵 @BullishMeow]

当OpenAI、SpaceX等超级巨头同时IPO吸走2000亿美元流动性时，被抛售的为何一定是NVDA等盈利能力最强的AI龙头？这种“流动性抽血”逻辑在美股历史上是否有可参照的精准周期？

https://t.co/Dp6lnDyB6A

[Rekt Fencer @rektfencer]

🚨 THIS IS NOT LOOKING GOOD

SpaceX, OpenAI, and Anthropic will go public at the same time.

That will force the market to absorb $200 BILLION of new supply.

When that happens, funds don't find new money out of thin air.

They sell what has already gone up.

NVIDIA, SK HYNIX, Micron, INTEL: those are the bags that will get cut first.

And if the leaders dump, the S&P 500 dumps with them.

We saw the same pattern after COVID.

Hype IPOs flooded the market --> liquidity got tighter --> air came out fast

This time, the AI bottleneck trade looks even more crowded.

Watch the upcoming IPOs closely.

That's where you may first see what the market is forced to sell.

[华尔街萌喵 @BullishMeow]

结合“美国消费者信心暴跌至2022年低点”与“美股空头头寸创多年新高”，当前市场是否正在酝酿一场由宏观数据恶化引发的空头回补逼空行情？哪些板块最容易成为逼空燃料？

https://t.co/41mz4V79QV

[The Kobeissi Letter @KobeissiLetter]

Short interest on US stocks is at multi-year highs:

Short interest in the median S&P 500 stock is up to 3.0% of market cap, the highest since 2012.

This is DOUBLE the levels seen during the 2020 pandemic.

By comparison, at the peak of the 2008 Financial Crisis, short interest in the median S&P 500 stock stood at 3.8%.

Furthermore, short interest among the most heavily shorted 10% of S&P 500 stocks is up to 8.0% of market cap, the highest since 2018.

Both metrics are now even higher than during the bear market following the 2000 Dot-Com Bubble burst.

Are markets setting up for a short-squeeze?

[华尔街萌喵 @BullishMeow]

当赌徒还在追涨随时会被SpaceX挤压生存空间的边缘太空概念时，防守反击的资金早已潜伏进诺斯洛普·格鲁门（NOC）。太空业务占其营收26%，手握下一代拦截器与国内稀缺代工产能。面对高息环境，没有真实利润护城河的PPT公司只会在熊市原地破防，真正的硬核底座才是承接资金的终极容器。

[华尔街萌喵 @BullishMeow]

大众对“商业航天”的炒作，全凭星辰大海的模糊想象。🌌

但在真实交易层面，太空资产只有极端对立的两种：随时可能被降维打击的“估值泡沫”，和卡住物理世界命脉的“硬件收费站”。

[华尔街萌喵 @BullishMeow]

事实是：代理型AI由于会自我循环纠错，单次任务燃烧的Token是普通大模型的1000倍。当这笔极度昂贵的算力账无法转嫁给企业客户时，缺乏定价权的AI应用层估值将被直接抬走。聪明的筹码已经从云端SaaS撤退，向端侧推理芯片和掌握稀缺电力资源的转型矿企转移。

[华尔街萌喵 @BullishMeow]

Agentic AI正在制造一场残酷的成本反噬。微软和亚马逊内部强制员工刷Token消耗，有开发团队单月烧掉130万美金OpenAI额度。📈

大众误以为AI调用量暴增意味着SaaS企业基本面强劲，把这种指标膨胀当成护城河。

[华尔街萌喵 @BullishMeow]

投资的二阶思维要求我们：别盯打新狂欢，去算存量博弈的账。当顶层订单簿流动性枯竭，你的退休账户极易成为内部人士套现的退出流动性。高权重科技股敞口，是时候重新检视了。

[华尔街萌喵 @BullishMeow]

给当前美股的潜在剧震下个定义：超级IPO的流动性虹吸效应。🚀

[华尔街萌喵 @BullishMeow]

SpaceX高达1.75万亿美元估值的资本盛宴，本质是一场针对全市场的被动抽水机。两个硬核事实：
第一，860亿美元的股票配售，即便掏空散户和隐性跟踪者的弹药，投行账面仍有近50%的需求缺口。
第二，巨兽一旦被纳入核心指数，巨无霸ETF必须机械性抛售440亿美元现有持仓来腾出空间。

[华尔街萌喵 @BullishMeow]

端侧推理引爆DRAM-on-Logic与混合键合技术：为了打破Agentic AI在端侧的数据搬运瓶颈，内存与逻辑芯片的直接3D键合技术正在加速落地。相关晶圆键合设备和CMP材料供应商将迎来业绩戴维斯双击。

https://t.co/KyX4RoBgcw

[Macro_Lin｜市场观察 @LinQingV]

晶圆键合型NAND和DRAM-on-Logic

传统3D NAND，CMOS逻辑电路和存储阵列做在同一片晶圆上。问题是两者对制造条件的要求互相矛盾。存储阵列需要高温处理来保证可靠性，逻辑电路的精细金属互连层经不起高温。挤在一起只能取折中值，谁都达不到最优。

长江存储2018年首创的Xtacking架构换了一个思路：逻辑电路和存储阵列各用一片晶圆单独制造，各自按最优工艺条件来，造好之后翻转键合在一起。

三个好处。性能最大化，两边不用互相妥协。生产周期缩短，两片晶圆并行制造。灵活迭代，存储从128层升到256层，逻辑部分不用重新设计。

铠侠2024下半年开始小批量跟进，三星和海力士预计2027年也会采用。这意味着整个NAND行业的制造方式正在发生结构性变化：一颗芯片从一片晶圆变成两片晶圆，硅片消耗、CMP工序、晶圆键合设备需求都要翻倍。

另一条路线是DRAM-on-Logic，面向的场景完全不同。

在云端做AI训练，瓶颈在算力。但在端侧做AI推理，瓶颈在内存带宽。汽车智能座舱、手机、PC、机器人上跑AI Agent，算力需求只要45到100+ TOPS，不算夸张。真正卡脖子的是模型参数要反复从内存搬到计算单元，搬运速度跟不上，算力再大也空转。

DRAM-on-Logic的做法是把DRAM晶圆直接键合在逻辑芯片晶圆上面，数据搬运距离从厘米级缩短到微米级。带宽可以做到1TB/s，传统LPDDR5X大约50-60GB/s，差一个数量级。

这条路线其实已经有量产产品了。瑞芯微和兆易创新合作的182X系列协处理器就是DRAM-on-Logic的早期落地形态。兆易提供DRAM，瑞芯微提供算力芯片，用TSV垂直堆叠叠在一起。1820内置2.5GB内存支持3B模型，1828内置5GB支持7B模型，端侧推理超过100 token/秒，首响延时最低0.1秒。已经在车载座舱、智能家居、机器人、边缘网关等场景落地。

不过182X用的是TSV堆叠，属于相对成熟的第一代方案。野村报告讨论的下一代是WoW混合键合（Hybrid Bonding），带宽上限更高、功耗更低、可堆叠层数更多。兆易创新和长鑫存储也在合作开发WoW方案，4层堆叠已成熟，8层在路线图中。瑞芯微下一代1860系列目标算力60-80T、带宽1TB+、支持端侧13B模型，规格已经非常接近野村描述的WoW终极形态。

野村判断这条路线要到2028年才会大规模放量。逻辑是2026-27年Agentic AI在云端跑通，2027-28年应用向端侧迁移，端侧需要高带宽低功耗的内存方案，WoW混合键合才有足够的需求拉动。但从瑞芯微182X的进度看，中国厂商在TSV方案上的落地速度可能比野村预期的更快。

两条路线的供应链影响高度一致：都是一颗芯片从一片晶圆变两片，晶圆键合、CMP、减薄工序全部翻倍。区别在于时间节奏，晶圆键合NAND 2027年起量，DRAM-on-Logic WoW 2028年起量，但TSV方案的早期产品已经在出货。

混合键合设备，CMP研磨垫，CMP浆料，硅片，都将会持续受益。