Zhiming

[Matt Giannino @MarketMovesMatt]

Selling a put with 30 days to expiration and holding it for 30 days is leaving money on the table.

The premium decays fastest in the first 7 days after you sell it.

Set the 50% profit alert before you close the app.

That alert fires in 3 to 7 days on a clean entry.

Close it. Recycle the cash. Sell another one.

Three cycles in one month beats one cycle held to expiration every single time.

[Michael | Hypermarkets @itsmichaelluu]

Read the letter closely.

In the final weeks of June, $IBM's own clients stopped buying $IBM and started hoarding servers, storage, and memory instead.

Here are 4 reasons I think this letter matters a lot:

1. This came from the victim, not the salesman.

$MU and $SKHY have been telling us for months that memory is tight. But of course they'd say that, it's their product. So I take it with a grain of salt.

This is different. IBM just lost deals because their customers ditched them to go buy memory instead. That's the buyer telling us the shortage is real. That's the confirmation I've been waiting for.

2. People are paying up before prices even rise.

The clients rushed to lock in supply "ahead of expected price increases."

Sit with that for a second. Nobody pays extra today unless they're scared it'll cost more, or won't exist, tomorrow. When buyers act like that, memory makers win twice: they sell more and they charge more. To me, that's the whole story.

3. Even $IBM got caught off guard.

$IBM sits inside these companies. They see the spending before anyone else does. And even they said they didn't expect money to rotate this fast.

If the people with the best seat in the house were surprised, then I don't trust the current estimates. I think the numbers are still too low.

4. This isn't extra spending, it's stolen spending.

Here's the part I keep coming back to. AI isn't just adding a new bill on top of everyone's budget. It's eating the old budget alive, pulling money out of software, mainframes, and consulting to feed itself.
So this isn't just "more demand."

It's a fight over who gets the dollar. And right now, memory and infrastructure are the ones winning it.

Do you agree? This is the honest truth.

[austin @buildleansaas]

@NoLimitGains @grok find every penny stock that is in Physical AI and Robotics that have potential for acquisitions and partnerships.

[314 Crypto @314crypto]

@NoLimitGains You don’t say 😉 The Race is on!

[美研芒格君 @Kay2289123]

这篇文章跑断了双腿，用尽人脉，走访了十余家硅谷一线做光模块、互联、存储的公司，和一线 Manger, RD 深入交流，陆陆续续写了 4 周。相信是你在别的地方看不到的

我不仅聊，也跟着真金白银地下注。口说无凭，截图奉上。

请注意，大家不要盲目跟单，评论区冒充我的都是骗子。我在WhatsApp 也不会分享任何策略。

存储大家最近肯定都有关注。东西贵了总会回落，偏偏这一次，没那么简单

我拆解了AI 疯狂消耗存储底层的三把结构性短缺锁。有人认为，只要 AI 投资不掉头，这场紧张会一路拖过 2028 年。我同意

既然贵又缺，那就想办法少用它——开始挖一条条绕开这笔税的路。这，才是这篇文章真正想带你看的东西。

内存墙是一个词，其实是两个毛病

第一个毛病是装不下（容量）：KV 缓存、模型权重，HBM 里塞不下
第二个毛病是搬不快（带宽）：数据从内存搬到 GPU 的速度跟不上

「省内存容量」和「互联传得快」解药，也是新瓶颈，熟悉我的《三层逻辑》的读者都知道，这是新玩家、机会

文章深度拆解了三条路线
📷第一条路，用便宜的料，去顶替贵内存 HBF: 「容量大得多、但慢一些」: SNDK, SK 海力士

📷第二条路·砍掉数据搬运
>「近内存计算」AI 推理的核心运算是矩阵乘法，做进内存芯片里— SK，三星等
> 光 HBM: 光模块搬存储：MU, MRVL等
> 3D 堆叠

📷第三条路：软件智能管理
>冷热数据分层：猜得准
>共享内存（CXL协议）：三星、SK、MRVL，ALAB

小众方式：SRAM

我的观点 三条路不是竞争，是分工。说到底，我在观察的是一件什么样的事：当一种东西又贵、又缺、还降不回来，一整套「绕开它」的技术生态，会怎样整体地长出来，这是凭空冒出来的新曲线、新资金

我在硅谷一线大厂，每天从事 AI 推理训 ,把行业掰开揉碎讲给你听。欢迎回看，节选⬇️
06-24《要看懂万亿光互联，Credo很关键》
06-02 《迈威尔+50%, 不看懂怎么能安心？深入解读原》
05-26《美光...下个产业机会流向》-> amat, kla
05-28 《40小时呕心沥血！MRVL光模块+AI推理布局解析》
05-21 《深度拆解ALAB互联27年布局, 这次别踏空!》
05-10 《耗时一周调研，带你彻底读懂 MRVL底层逻辑》
05-03 《压箱底的 AI 主线 下一“瓶颈”标的》
04-29 《MXL》
04-28 《MRVL进入关键时期》
04-27 《Marvell 取消 POET 是必然+5 层光模块解析》

[Ren @ren_stocks]

Everyone is chasing the humanoid logos. I did what I did with AI Infra -- looked underneath the hood.

The money is not in the robot. It is in the ~40 parts that repeat inside every body, the ones almost nobody can build.

Here's the full list according to Goldman Sachs:

1. The brain // the intelligence:

$NVDA Nvidia -- Jetson + GR00T. The obvious one, lowest humanoid alpha.
$QCOM Qualcomm -- RB6, lower-power industrial.
Also: Tesla, $GOOGL, $META, iFlytek (https://t.co/KU8j5ePbkQ), Huawei (private)

2. Sensors & perception // how it sees and feels:

$OUST Ouster -- solid-state lidar pure-play.
$CGNX Cognex -- machine-vision incumbent.
$ALGM Allegro -- magnetic position sensors. The quiet winner, every joint needs them.
$VPG Vishay Precision -- strain gauges, force sensing.
$NOVT Novanta -- six-axis force-torque (ATI).
Also: Orbbec (https://t.co/EmUgsWEgkb), RoboSense (https://t.co/LhyDNpQfLV), $HSAI Hesai, Sunny Optical (https://t.co/bGc3smstll)

3. Edge AI inference // decisions on-device:

$AMBA Ambarella -- edge vision processors.
$LSCC Lattice -- low-power FPGAs for sensor fusion.
$CEVA Ceva -- DSP and inference IP. Pure licensing, pure obscurity.

4. Motors & motion // the muscles:

$NJDCY Nidec -- world's largest motor maker.
$AME Ametek -- precision instruments and motion.
$RRX Regal Rexnord -- motors and drives at scale.
$RBC RBC Bearings -- precision components.
Also: Moons' Electric (https://t.co/SU7teQIXWZ), Zhaowei (https://t.co/SfgqzHgLXa), Leadshine (https://t.co/QVkDM2gVw8), Veichi (https://t.co/gmK0xmcWww)

5. Joints & precision motion // human-like movement --
THE POTENTIAL BOTTLENECK:

6324.T Harmonic Drive -- strain wave gears. Every Optimus joint uses one.
6481.T THK -- planetary roller screws and linear bearings. Tokyo-listed, off the radar.
$ALNT Allient -- US-listed, integrated motion.
https://t.co/PItDtJ8PBJ Schaeffler -- roller screws.
Also: LeaderDrive (https://t.co/VL92TVG0Iw), Shuanghuan (https://t.co/8px4AQdQsO), Zhongda Leader (https://t.co/Znu2SoTgkf)

6. Dexterous hands // a humanoid in your palm:

$INVN... none US-listed. China leads here.
Zhaowei (https://t.co/SfgqzHgLXa) -- hand drive modules.
Inovance (https://t.co/kN8VYE6iDX) -- servo and motion control.
Also: PaXini (private, tactile)

7. Actuator assembly // putting it together:

Sanhua (https://t.co/4zM5co71yk) -- assembly at auto-supply-chain cost.
Tuopu (https://t.co/78h2i40K2N) -- built for cost and volume.

8. Power electronics // energy into controlled motion:

$NVTS Navitas -- GaN, the asymmetric small-cap.
$TXN Texas Instruments -- motor-control MCUs at scale.
$STM STMicro -- broad motor-control portfolio.
$ON onsemi -- power management and sensing.
$MPWR Monolithic Power -- high-efficiency DC-DC.
$IFNNY Infineon -- automotive-grade power.
$RNECY Renesas -- automotive and industrial motor control.
$WOLF Wolfspeed -- SiC pure-play, the distressed wildcard.

9. Energy & rare earth // the raw fuel:

$MP MP Materials -- the REE pure-play everyone knows.
$USAR USA Rare Earth -- magnet manufacturing, the new entrant.
$LYSCF Lynas -- largest non-China producer.
$UUUU Energy Fuels -- diversified REE and uranium.
$ENS EnerSys -- industrial batteries.
Also: CATL (https://t.co/havEzEZrGN). The magnet, not the cell, is the scarce part.
The one maker I'd own:
$CCXI Churchill Capital XI -- merging with Agility Robotics, trades as $AGLT on close. Only US-listed pure-play humanoid. Pre-deal SPAC, size it small.

The one maker I own: $CCXI / $AGLT

$CCXI Churchill Capital XI -- merging with Agility Robotics, trades as $AGLT on close. Only US-listed pure-play humanoid. Digit is real: 65k+ work hours, 300M+ in orders, backed by NVIDIA, Amazon, Foxconn.

The winners may not be the robot makers. They may be the companies inside the robot.

I made a deeper dive for free on my substack, go check it out:

https://t.co/euNn12SDVp

Now you know which floor to look at. ⚡

[Michael | Hypermarkets @itsmichaelluu]

ROBOTICS & PHYSICAL AI CHEATSHEET:

(so you know whats going to explode next...)

[Serenity @aleabitoreddit]

For robotics companies, I have a favorable view on Unitree and Agility Robotics, two humanoid players.

And I have largest concentration in Agility Robotics, since I personally prefer US humanoid players.

For upstream component exposure, I currently own:

- Harmonic Drive (6324) given high content BOM on things like harmonic reduction gear.
- Vishay Precision for sensors and a possible candidate for Telsa Optimus.

LeaderDrive (688017) and Schaeffler I have favorable views on but don't own personally.

Many of the other AI DC players, I have indirect exposure to robotics like memory.

Don't recommend anyone to copy, just sharing personal positions/thoughts.

Humanoid sector is large, and as seen with Goldman Sachs report that "Korean companies will command a 30% direct and indirect share of global humanoid robot production".

Lot of players out there globally. This was an older report but just linking it again since you see all of them pop up in GS institutional reports + what they cover.

Agility Robotics is my personal favorite as of now.

[Zhiming @zm_y69]

@aleabitoreddit What about QNX system by $BB ?

[Elon Musk @elonmusk]

@wholemars @TovikkaX The production shortfall relative to demand is insane. MUCH higher production is needed.

[Zhiming @zm_y69]

@aleabitoreddit The true bottleneck of gum bros😂

[Zhiming @zm_y69]

@aleabitoreddit How about steroids ? 😂😂😂

[Zhiming @zm_y69]

@Guv999 With rate hike expectation in the next half of 2026, do you mind to share your insight on what would be the main factor driving up the price to the top this year?

[Quinten @QuintenFrancois]

Only ~5% of SpaceX stock is floating right now

~95% $SPCX is still locked

Most don’t realize bearish pressure often comes later, when insiders finally get liquidity

Unlock schedule below ⬇️

[nini @nini_incrypto_]

https://t.co/fPyZpmtH08

[Manchurius Hao — Greeks.live 首席赌狗 @AntonLaVay]

OK，终于等到消息了，并且终于不再是关于伊朗谈判的无聊消息了。

那么以当下这个消息出现之后来看，下周的路径一个可能的Bull case是（我没有深究Trump到底要干嘛，要是他再打个嘴炮没有实质另说）：

周一来一个比较大的反弹

周二波动，冲高可能回落，因为周三盘前CPI，既然周五对于非农数据做出了激烈反应，没有理由周二就无视CPI。

周三的CPI，Headline的不重要主要看Core Cpi，如果Core CPI是在0.3或者以下，市场会继续嗨并且不会太在意周四的PPI数据，如���录的0.4或以上，市场将不得不很在意周四的PPI数据。

以下四种情景：

情景一：headline 热，core 温和

比如 headline +0.5%，core +0.2%。
这是相对最好结果。说明油价冲击明显，但核心扩散有限。债券可能松一口气，QQQ/SOX 有技术上继续反弹空间。

情景二：headline 热，core 也 0.3%

这是基准但不舒服。Fed 不会降息，市场会继续交易“higher for longer / 甚至 hike risk”。股市可能先反弹后犹豫，具体看 shelter 和 core goods。

情景三：headline 热，core 0.4%

这是风险资产最不想看到的。说明4月 core 热不是一次性，通胀传导进入核心。2年期收益率会很敏感，QQQ/SOX 压力大。

情景四：headline 不高，但 core 高

这反而最糟糕。因为它说明问题不是油，而是底层通胀。市场会直接交易 Fed 更鹰。

我个人希望Core Cpi不要高于0.3%，因为周四还有PPI. 当前的情况大概就是生产者吸收了油价和其他各种成本的上升，但是没有向消费者转移，所以PPI本身预期就是差的，只要不是超预期的差就好。

[Ace from Money or Life 美股频道 @Money_or_Life_X]

接下来到 6 月底美股重要财经日历，按时间顺序:

6/10(周三) 5 月 CPI 消费者物价指数
6/11(周四) 5 月 PPI 生产者物价指数
6/12(周五) SpaceX 上市首日
6/17(周三) 美联储议息
6/18(周四) 三巫日/季度期权到期
6/25(周四) 5 月 PCE 物价
6/26(周五) Russell 指数年度重构生效

[Leonard Rodman @RodmanAi]

SAM ALTMAN HAS A NEW PROBLEM. 🤯

Google just shrunk 31GB of AI memory down to 4GB.

The tool is called TurboVec.

It uses up to 16x less memory, searches faster than FAISS, runs fully offline, and works on a regular Mac.

No expensive GPU cluster.
No cloud dependency.
No compromise on speed.

→ 16x lower memory usage
→ Faster vector search
→ Works with LangChain & LlamaIndex
→ 100% open source

The race to build bigger AI models is loud.

The race to make them dramatically cheaper just got a lot more interesting.

Repo: https://t.co/08TFGtHL6K

[Chapo @ChapoGrimey]

The 2023 article on $SPCX using $BB QNX was about its past role in Falcon rockets. While SpaceX now runs mostly custom Linux, QNX remains trusted for real time systems.Stronger proof: In early 2026, NASA added official support for QNX SDP 8.0 to its core Flight System (cFS), used on 40+ missions. BlackBerry helped make it happen showing QNX is still a top choice for safety critical space tech.

Honestly speaking, im just going to keep adding to my Blackberry position as I think Physical AI itself and the core mechanisms is going to shift at a rapid space and anything under $15 on $bb is a add for me.

See you monday for market openings :)