$MU
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英伟达称存储短缺多年延续，支撑美光和韩系存储盈利。
看吧……$NVDA CEO 警告称，由于 AI 基础设施需求大规模扩张，存储短缺预计会持续多年。 明天还会有进一步公告。 $MU 以及 $EWY（三星/SK海力士）的营业利润预测，现在看起来也没那么疯狂了？
原推 ↗英文原文
Oh look… $NVDA CEO warned memory shortage is expected to persist for many years, due to massive scaling demand of AI infrastructure. With further announcements tomorrow. $MU and $EWY (Samsung/SK Hynix) operating profit projections aren’t looking too crazy anymore? https://t.co/OvjyrifRtO
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点评市场回调中高beta科技股大跌与媒体叙事。
市场回调真有意思。 龙头从 $NVDA 下跌4.87%，到 $MU 下跌7.03%。像 $PL 这样的高 beta 名字下跌22.02%。 看到媒体总是试图这样解释很有趣： “博通给芯片股蒙上阴影，美光遭遇创纪录市值蒸发。” 博通预计……
原推 ↗英文原文
Fun times with market corrections. Leaders from $NVDA down -4.87% to $MU down -7.03%. High beta names like $PL down -22.02%. Funny to see media always trying to explain like: "Micron suffers record wipeout as Broadcom casts a shadow over chip stocks " Broadcom projected https://t.co/D1cE7sjKBs
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认为内部人卖股本身不改变基本面。
回复 @AngelSagiri：我对每只股票都重复过这一点：内部人卖股字面上不代表任何东西。 无线业务董事总经理把所有权转给美国投资者，并不会改变这家公司任何业务基本面。 $NVDA 和 $MU 的 CEO 一直在卖股，但没人眨眼。
原推 ↗英文原文
@AngelSagiri I’ve repeated this for every single stock, but insider selling means literally nothing. A managing director of wireless transferring ownership over to US investors doesn’t change any fundamentals about the business. CEO of $NVDA and $MU sell shares all the time but nobody bats
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谷歌为AI资本开支融资，利好上游生态。
我从没想过会看到 $GOOGL 需要为 AI 资本开支融资800亿美元的这一天…… 然后沃伦·巴菲特的 $BRK.A 在为超大云厂商 AI 建设提供资金。 - 400亿美元 ATM、300亿美元发行、伯克希尔100亿美元 从 $LITE 到 $AVGO、联发科、$TSM、$MU 的上游生态应该会一路受益。
原推 ↗英文原文
I never thought I’d see the day where $GOOGL needs to raise $80b for AI capex… Then Warren Buffet’s $BRK.A is funding the hyperscaler AI buildout. - $40B ATM, $30B offerings, Berkshire $10B Upstream ecosystem from $LITE to $AVGO to Mediatek to $TSM to $MU should go brrr. https://t.co/CxvctNZyMC
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列出黄仁勋“你们现在太富了”评论涉及的供应链伙伴。
“你们现在太富了” $NVDA ETF。 这些只是 Jensen 用那句话举杯致意的一部分供应链伙伴： TSMC（TSM）- 1.95万亿美元 Micron（MU）- 1.10万亿美元 Delta - 2022.8亿美元 Amphenol（$APH）- 1830亿美元
原推 ↗英文原文
The “You’re So Rich Now” $NVDA ETF. These were just some of the supply chain partners Jensen made a toast to with that comment: TSMC (https://t.co/ihVngJn3CV / TSM) - $1.95T Micron (MU) - $1.10T Delta (https://t.co/nxy6qVoi97) - $202.28B Amphenol ( $APH )- $183.00B https://t.co/khJTATSxIl
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称美光最终达到1万亿美元市值，像下一个NVDA。
现在……$MU 终于达到1万亿美元市值。 我确实说过，考虑到 AI 下存储需求看起来是结构性的，它像下一个 $NVDA。 这只股票从80美元涨到887美元，可能造就了很多百万富翁。
原推 ↗英文原文
And now… $MU finally hits a $1 Trillion marketcap. I did say this looks like the next $NVDA given how memory demand looks structural with AI. This stock probably made a lot of millionaires going from $80 to $887. https://t.co/5VFdvcuu2c
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黄仁勋预计2030年AI资本开支每年3-4万亿，应持有AI王国关键瓶颈。
根据 $NVDA 黄仁勋预测，到2030年 AI 资本开支预计将达到每年“3到4万亿美元”。 你还不够看多。 保持敞口并拥有 AI 王国钥匙，可能是个好主意： -> $AXTI 控制光子学材料建设。 -> $SOI 通过硅光子控制 AI 建设。 -> $SIVE 控制 CPO 的激光瓶颈。 -> $IQE 控制西方光子学外延片供应链。 这些公司最初都很小，但预测中的万亿美元资本开支正逐渐向它们上游流动。 其他行业也有许多类似例子： -> AI 资本开支流向 $NBIS 等 Neocloud。 -> AI 资本开支流向 $MU 和 $SNDK 等存储。 过去20年许多“商品”材料或“科学项目”，现在突然出现指数级 TAM 扩张。 我们正在见证人工智能 + 物理 AI 带来的下一次工业革命。
原推 ↗英文原文
AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them. There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.
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长文阐述用百分比回报验证thesis，而不是用金额炫富卖订阅。
我不公布美元金额，因为那并不重要。 重要的是回报百分比。说到这个…… 年初至今：3840.39%。 我可能是世界上唯一一个在短时间内点出多个10倍股的人。 你还记得这些 thesis 吗？ 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU 它们都上涨了100-1000%+，因为： 1. 我发布 thesis。 2. 人们可以看到几个月后股票表现。 3. 它们最终正确（thesis 被验证），因为上涨数百个百分点并保持回报。 我非常不喜欢传统 X 网红展示大额美元数字、名表、豪车、私人飞机。 然后用这些来卖昂贵订阅，而不是靠市场回报赚更多。 所以我想通过免费的 thesis 帖和之后的百分比回报结果，建立一种基于纯信息发现/综合的新趋势。 简而言之：验证 thesis 最重要的是市场百分比回报。 不是赚到的美元金额。
原推 ↗英文原文
I don't post dollar amounts because they don't matter. What matters is return %. Speaking of that... YTD: 3840.39%. I'm probably the only one in the world. Who called out multiple names that 10x'd in a short timeframe. Do you remember these thesis anon? 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU They're all up 100-1000%+, because... 1. I post a thesis. 2. People can see how the stock performs months later. 3. They turn out right (thesis validation) because they're up hundreds of percent + hold their returns. I really dislike the traditional X influencer who shows large dollar amounts or fancy watches/cars/private jets. Then use that to get more by selling expensive subscriptions rather than through market returns. So trying to set a new trend off pure information discovery/synthesis from free thesis posts and the results that follow in terms of return percentages. TLDR: Market returns in terms of percentages matter the most to validate a thesis. Not the dollar amount made.
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吐槽RDDT社区缺乏技术素养，将AXTI误称为MU存储竞争对手。
？？？$RDDT 的智商字面上比 $IREN 投资者还低？ 我不是做了这么多 $AXTI 研究…… 只是为了让你们在它上面赚380%，然后把它叫成 $MU 存储竞争对手，再说它是骗局？ 缺乏技术素养正是我被那里封禁的原因。
原推 ↗英文原文
??? $RDDT is literally lower IQ than $IREN investors? I didn't do all this research on $AXTI ... Just for you all to make 380% on it, call it a $MU memory competitor and then a scam? The lack of technical literacy is exactly why I got banned from there. https://t.co/sgrFTgcwfM
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盘点自己年内持仓数量越来越多
@beauty_oe 我还忘了 $NBIS 和 $MU，那就变成第 25 个了。我都数不清了。
原推 ↗英文原文
@beauty_oe I forgot $NBIS and $MU too, that would be #25. I'm losing count.
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Towa财报短期因会计幻象被误读，长期H2布局极好，利润率拐点已至
关于Towa (6315)： 财报非常复杂。我原本的论点（短期）中对当前财报的"Beat"判断是错误的，这是我的失误。 但对于H2 2026来说，这是一个极好的结构性多头布局，而非H1。 TLDR：短期由于算法交易无法理解这些细微差别而看跌，长期非常积极（市场是前瞻性的） 营收 ¥54.36B（同比+1.7%）， 净利润 ¥4.59B（同比-43.4%）。 营业利润 ¥6.91B（同比-22.1%） 新闻标题写着"EPS暴跌-43.4%"或"订单不及预期"，这可能会触发算法交易抛售。 1. 正如你们在美国Towa交易中看到的，"EPS暴跌-43.4%"，算法可能已经根据标题卖出了。 -> 但这是由于去年有一笔一次性"损坏赔偿补偿"支出，以及去年价值13亿日元的一次性股票销售。 -> 此外，"新客户压缩设备的初始成本增加"也导致了本季度盈利能力下降。 所以这是一次会计幻象，并非真正的盈利能力问题+新订单规模化，是一次性的。 然而： 利润率拐点已经到来。这是最重要的信号。 全年营业利润率为12.7%。要使年平均达到12.7%，而Q1-Q3徘徊在10%左右，Q4应该需要达到约18.4%左右？ 这对未来盈利能力来说极其看涨，表明HBM压缩机正在发挥作用，与传统设备相比。 2. 订单"不及预期"： "随着前端工艺产能扩张，预计在2027年3月财年下半财年加速增长。" 这表明 $MU、Sk Hynix和其他公司尚未准备好空间，因为他们仍在建设前端晶圆厂生产线。 但H2，为大幅超预期做好了准备。需求可见度是存在的......只是营收/利润攀升被推迟到H2。 _ Towa前瞻指引预测销售额¥64.0B（同比+17.7%），营业利润¥10.24B（同比+48.0%），这标志着未来将创历史最高盈利能力。 IMO他们还压低了营收指引，因为他们明确表示下半年加速，但没有给出太多预期超预期。 日本公司也倾向于极度保守，他们的股息提高也是一个重要信号。 无论如何，我认为美国抛售可能只是由于负面会计标题+流动性较低。另外，我早了大约4-6个月。 但Towa在H2的布局非常积极。只是不是那种像 $SNDK $AAOI 那样单日10%+的爆发式公司。 TLDR：长期看涨，短期很多细微差别被标题误导了。 只需要再有耐心等待几个月。利润率正在上升，营收/订单被推迟到H2，股息提高，等等。
原推 ↗英文原文
For Towa (6315): Earnings are very nuanced. I got the current ER "Beat" wrong in my original thesis (short term), my bad. But it's an amazing structural long and setup for H2 2026 rather than H1. TLDR: Near term bearish algorithmically since they miss the nuance, very positive H2 (markets are forward looking) Revenue ¥54.36B (+1.7% YoY), Net Profit at ¥4.59B (-43.4% YoY). Operating Profit ¥6.91B (-22.1% YoY) News headlines say "EPS crashed -43.4%" or "order miss" that might trigger an algorithmic selloff. 1. As you've seen with US Towa trading, "EPS crashing -43.4%", and algos might have sold headlines. -> But this was due to last year, of one-off "compensation for damage" payout and one-time ¥1.3 billion yen stock sales from last year. -> Also "increased initial costs for new customers in compression equipment." for new equipment is caused profitability losses this quarter. So a bit of an accounting mirage, not really any profitability issues + scaling new orders, so one-off. However: Margin inflection point is already here. Which is the biggest signal. Full year operating margin was 12.7%. For the annual average to reach 12.7% when Q1-Q3 was hovering around ~10%, Q4 should have been around ~18.4% or something? Which is extremely bullish moving forward for profitability, and shows HBM compression machines are doing work, compared to legacy equipment. 2. Order book "miss": "Acceleration expected during the second half of fiscal year 3/27 as front-end process production capacity expands." This signals $MU, Sk Hynix, and others don't have the floor space ready yet, since they're still building front-end wafer fab lines. But H2, is setup for massive beat. Demand visibility is there... just revenue/profit ramp deferred to H2. _ Towa forward guidance forcasted ¥64.0B in Sales (+17.7% YoY) and ¥10.24B in Operating Profit (+48.0% YoY), which signals all time high profitability in the future. IMO they also sandbagged revenue guidance, since they literally said acceleration second-half but didn't give much of a projection beat. Japanese companies tend to be ultra conservative too, their dividend hike is a large signal too Regardless, I think the US selloff was probably just due to negative accounting headlines + lower liquidity. Also I was a bit too early by like 4-6 months. But Towa is an extremely positive setup for H2. Just not your explosive $SNDK $AAOI 10%+ a day type company. TLDR: Long term bullish, short term lot of nuances missed with headlines. Just need to wait a few more months if you have patience. Margins are increasing, revenue/orders deferred H2, dividend hikes, etc.
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回顾韩国存储链被做空后大涨
就在两个月前。 X 上几乎所有人都看空 $EWY、$MU、SK Hynix、Samsung，说韩国市场 / Memory 像“白银泡沫”。 还说 LNG / Helium / Oil 的担忧会把市场打下去。 现在突然那些之前发 doompost 的人都说自己“早就看多”了。 区别在于：你只是跟着新闻流跑，还是你真的把钱押上去，并且在大家都看空时站对了反向观点。 总之，$EWY 的多头现在已经涨了 350%+，这也说明现在噪音有多大。
原推 ↗英文原文
Just two months ago. Everyone on X was bearish on $EWY, $MU, Sk Hynix, Samsung, saying Korean markets / Memory was like the "Silver Bubble". And that LNG/Helium/Oil fears would tank markets. Now suddenly everyone that was doomposting was "bullish" all along. There's a difference between just tagging along the news flow. Then having money at stake and having the correct contrarian opinion while everyone was bearish. Anyway, $EWY longs are now up 350%+, just goes to show how much noise there is nowadays.
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感叹 X 和 Reddit 上有人靠半导体赚了大钱
是不是只有我觉得…… X 上或者 $RDDT 上的人，最近是不是都靠 $INTC、$MU 和 $AMD 赚了大钱？ https://t.co/CWEt5rcusn
原推 ↗英文原文
Is it just me… Or does it feel like everyone on X or $RDDT made millions off of $INTC, $MU, and $AMD recently? https://t.co/CWEt5rcusn
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总结近期半导体与 AI 供应链的多项变化
这是我对最近半导体发展的一个 TLDR： 1. $TSM 在强推 CoPoS - VisEra / 其他公司可能会比预期更早起飞。 2. $AAPL 选择 $INTC 做半导体生产，这是个重大变化，因为他们通常会选 TSM。美国制造继续起飞，Intel 继续起飞。 3. $NVDA Vera Rubin 最近据说对散热架构做了很新的调整。 “台湾的热管理供应商正在成为 AI 硬件生态里增长最快的板块之一” - 上个月的说法。 “Vera Rubin server 架构预计会推动数据中心散热和系统设计发生根本变化” 我之后会专门看热管理生态，也许该开始研究一下？ 4. 2D NAND 短缺在 Samsung、Micron 和其他玩家退出后继续恶化。 Macronix、Windbond 都在起飞，这对 GigaDevice 和其他利基玩家也有影响。 5. “大科技公司据称愿意出资帮助 SK Hynix 建 fab 和 EUV” 说明 memory 短缺严重到 Mag7 都愿意出钱，那 $MU、SK Hynix、Samsung 都在起飞。 6. $TSM 2026 年 4 月净营收 126 亿美元，收入同比增长 30%，半导体继续起飞。 7. Anthropic 需要算力 -> SpaceX。 这意味着算力需求极其强，对 $NBIS 等都是“BRRR”级别利好。 但很有意思的是，他们绕开了 Neoclouds，选了 SpaceX。 8. “SKC 将在今年年底前加速为美国客户量产玻璃基板” “提前于原计划，已宣布今年年底前推进” 像 $LPK 这样的玻璃基板量产玩家，以及 SKC 这类相关公司都在起飞。 玻璃时间线被提前了，真的 heavy brrr glass。 9. AI 服务器需求和 GaN 争夺加剧，电源芯片短缺也在加深。 也许是时候看看电源芯片瓶颈了？ 10. Adata 说 DRAM 和 NAND 闪存合约价在 2026 年第二季度都会上涨 40% 以上。 这对 $MU、SK Hynix、Samsung、$SNDK 等都是正面。
原推 ↗英文原文
Just a TLDR of recent semi developments: 1. $TSM pushing hard CoPoS - VisEra/others might go brrr earlier than expected. 2. $AAPL goes with $INTC for semi production, which is a major shift cause they normally go with TSM. Made in America go like Intel go brrr. 3. $NVDA Vera Rubin reportedly makes changes to cooling architectures very recently. "Taiwan's thermal management suppliers are emerging as one of the fastest-growing segments in the AI hardware ecosystem" - From Last Month. "Vera Rubin server architecture is expected to drive a fundamental shift in data center cooling and system design" Will cover thermal ecosystem later, maybe it's time to take a look? 4. 2D NAND shortage spirals after Samsung, Micron, and rivals exit market Macronix, Windbond go brrr. implications for GigaDevice and other niche players. 5. "Big Tech reportedly offers to fund SK Hynix fabs and EUV" - Memory that badly bottlenecked that mag7 wants to pay for it, so $MU, SK Hynix, Samsung go brr. 6. $TSM 2026 net revenue $12.6B for April 2026. Revenue up 30%, Semis keep going brr. 7. Anthropic needs compute -> SpaceX. So implications for compute demand is extreme here which is BRRR $NBIS and others. But it's very interesting they sidestepped Neoclouds and went with SpaceX. 8. "SKC to Accelerate Mass Production of Glass Substrates for U.S. Clients by the End of the Year" "the end of the year, ahead of its original plan, it has been announced" Glass Core substrates players like $LPK for mass production and other related players like SKC go brrr. Glass timelines moved up. heavy brrr glass. 9. "Power chip shortages deepen as AI server demand and GaN battles escalate" Maybe time to look into the power chip bottleneck anon? 10. "Adata said DRAM and NAND flash contract prices will each climb more than 40% in the second quarter of 2026" Another positive for $MU, SK Hynix, Samsung, $SNDK, and others.
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看着多个板块一起暴涨
我就在看从 $EWY 到 $SNDK 的一切都涨得离谱…… 连 $MU 今天都涨了 12%。 呃……今年至今真的有点离谱。 https://t.co/FJKQjq8YJk
原推 ↗英文原文
I’m just watching everything from $EWY to $SNDK go up enormous amounts… Even $MU is up 12% today. Uhhh… YTD is getting a little ridiculous. https://t.co/FJKQjq8YJk
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记忆类公司往往提前重估
我说过，像 $SNDK 或 $MU 这种存储公司，重估发生在真正公布财报之前，而不是财报当天。 你可以用第三方 NAND/DRAM TrendForce 这类涨价报告来估算，再据此推 gross margin。 我之前就拿美光做过例子，算出来的毛利率和实际报告几乎完全一致。
原推 ↗英文原文
I said with memory companies like $SNDK or $MU, the repricing happens before the actual earnings. Not actual earnings. You can estimate it with third party NAND/DRAM Trendforce type price hike reports. Then estimate gross margins off of those. I did it for Micron earlier as an example and got reported gross margins spot on.
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TOWA 或成 HBM4 上游受益者
是啊……我越看越觉得，市值约 13.4 亿美元的 $TOWA / $TOWCF（6315），可能会成为 SK 海力士、三星、$MU 在 HBM4 支出中的一个“捡漏”受益者。 它高度周期化，跟支出周期强相关。 但我们看到存储厂商的资本开支在全面上调。 这倒不是那种能 4 倍涨的标的…… 但我的猜测是，新一轮 HBM4 存储周期开始后，必须的资金流入激增会让它被显著重估。 尽管它在这轮新周期里似乎已经被大多数人忘了，但它在压缩建模流程上有垄断地位。 混合键合虽然只是去掉了一个步骤，但仍然需要 Towa（垄断企业往往会拿到更高溢价）。 我也不觉得这轮周期和上一轮一样，因为最近存储公司赚钱的速度实在太夸张了？ 只是我的想法，但如果我的判断没错……等大家都在建 HBM4 产线时，它应该会在 11 日周一（东京时间）的财报里体现出来？
原推 ↗英文原文
Yeah... the more I look into things, $TOWA / $TOWCF (6315) at ~$1.34b looks like a sleeper beneficiary for HBM4 spend from SK Hynix, Samsung, $MU. It’s hyper cyclical with spending cycles. But we’re seeing hikes in capex spend across the board from memory makers. Not exactly a 4x type play... But my guess is that it should get materially re-rated from a spike in unavoidable inflows for the start of the new HBM4 memory cycle anyway. And they appear to be a largely forgotten beneficiary for this new cycle despite their monopoly in compression modeling processes. Hybrid bonding just removes one step in the process but requires Towa anyway (monopolies tend to get higher premiums) I also don't think this cycle is like the last due to how much memory companies have been printing recently? Just my thoughts, but if my guess is right... it should show up in earnings on the Monday 11th (Tokyo Time) as everyone’s building out HBM4 lines?
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TOWA 是 HBM4 垄断卡点
所以我就直说了：市值 13.5 亿美元的 Towa（6315）…… 它是 HBM4（压缩成型）上很罕见、活生生的垄断定义。 虽然今年到现在几乎没怎么涨，但像 $MU、SK 海力士、三星这些存储厂商都是他们的客户。而且每一家存储厂商的财报都在指向大幅增加 capex。 就连从 $TSM 的财报也能看出来，所有主要半导体公司都在经历一轮巨额资本开支周期，以满足 AI 需求。 三大存储厂商也都从 HBM3E 和 NAND 里赚得很猛……所以下一轮 capex 周期大概不会像上一轮那样了（意思就是花得会更多）。 像 $ASML 一样，这种东西周期性极强，但我想在未来几个月的 HBM4 capex 爆发里拿到敞口。 我想把这个名字和 $LPK（玻璃核心基板）一起放到大家视野里，因为它们都是功能性垄断。 但我确实觉得现在这个时间点刚刚好，毕竟所有机器供应商都在大幅重估，而它相对还是平的。 这也不算什么新发现，因为之前还有别的分析师和一些随机关注者提过这个名字，但希望我这次把时点抓对了。 （免责声明：我确实持仓，这只是我自己想法的 TLDR，请不要跟单）
原推 ↗英文原文
So just putting it out there: Towa (6315), at $1.35B... Is a rare, living definition of monopoly over HBM4 (compression molding). It's been kinda flat YTD, but every memory company like $MU, Sk Hynix, Samsung are their customers. And each of the memory company earnings signaled massive capex increases. Even as seen with $TSM earnings, every major semi is going through a massive capex cycle to meet AI demand. And all three memory makers have printed from hbm3e and nand... so the next capex cycle is probably not like the last (meaning a lot more spend). Like $ASML, this is hyper-cyclical but I wanted exposure to the upcoming HBM4 capex ramp over these next few months. Thought I'd put this name on people's radar alongside $LPK (glass core substrates) as a functional monopoly. But I do feel like this timing is about right while every machine supplier is having a massive re-rating yet this was relatively flat. Not exactly a new find, since a few other analysts + random followers had this name but hope I get the timing right. (Disclaimer: I do hold positions, this just TLDR of my own thoughts, please don’t copy trade)
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存储链条继续起飞
从 $MU 到 $EWY（SK 海力士、三星）再到 $SNDK，存储相关名字最近都在疯狂起飞。 除了三大厂之外，还有 NAND 或台湾的名字，比如南亚科。 现在也许是看看 Towa（6315）的好时机，用来捕捉 HBM4 上游垄断的 capex 周期？ https://t.co/VZPwzB0SFK
原推 ↗英文原文
Memory names from $MU to $EWY (SK Hynix, Samsung) and $SNDK are going brrrr lately. Aside from the big three, then your NAND or TW names like Nanya. Might be a good time to look at names like Towa (6315) to capture upstream monopoly capex cycles for hbm4? https://t.co/VZPwzB0SFK
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CPU 热度盖过了存储
现在市场都在盯着 CPU，差点把存储给忘了。 但……SK 海力士、$MU、三星最近都在提高 capex，而且三星最近还开始了 HBM4 生产。 $TSM 也释放了全行业创纪录 capex 的信号。 但就像 $LPK 在玻璃核心基板上的逻辑一样…… HBM 阵营里其实也有不少结构性垄断，是市场可能忘掉了的，尤其是在日本这些地方。 它们大概率会从当前的 HBM4 capex 周期里受益。 韩国那边，像 Hanmi Semi（KRX: 042700）今天都涨了 27.6%+，所以我猜全球其他公司也很快会跟上。
原推 ↗英文原文
Markets are looking at CPUs right now and kinda forgot about memory. But... there's increased capex spend with Sk Hynix, $MU, Samsung around now, with Samsung starting HMB4 production recently. $TSM also signaled record capex across the board. But just like $LPK in glass core substrates... There's a decent amount of structural monopolies over in the HBM camp markets that I'm thinking about in places like Japan. That markets may have forgotten? They would largely benefit from current HBM4 capex cycles. Over in Korea, things like Hanmi Semi (KRX: 042700) have been taking off, up 27.6%+ today, so I'd guess the other companies around the world might play catchup soon.
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不要追逐每一轮新瓶颈
别因为每个新闻周期里出现一个新的“瓶颈”就开始 FOMO。 它现在的轮动是： $NVDA GPU -> $MU 存储 -> $IREN 电力 -> $LITE EML -> $SNDK 存储 -> GPU -> $AAOI 收发器 -> 先进封装 -> 变压器 -> $INTC CPU……等等 然后下一个就会变成 $LPK 的玻璃基板，或者日本某种别的冷门材料。 这些大多都横跨好几年。 如果 $LITE 到 2028 年都卖完了，而现在才 2026 年上半年。超大规模云厂商其实已经在把 $AAOI 能做的产能都买走了。 最好的办法可能就是对现有仓位耐心一点。 因为你追当前新闻周期，大概率只会错过某个突然拉起来的绿柱。
原推 ↗英文原文
Not the best idea to feel FOMO about the new “bottleneck” in every news cycle. It’s going from: $NVDA GPUs -> $MU Memory -> $IREN Power -> $LITE EMLs -> $SNDK Memory -> GPUs -> $AAOI transceivers -> Advanced Packaging -> Transformers -> $INTC CPUs… etc And next would be stuff like $LPK glass substrates or some random niche material from Japan. Most of these span multi-years. If $LITE is sold out into 2028 and it’s H1 2026. Hyperscalers are buying out anything $AAOI can make. It’s probably good idea to just be patient with your existing positions. Because there’s likely going to be some random green candle that you miss out on chasing the current news cycle.
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认为 DRAM 是一个很好的存储 ETF。
如果你想要存储敞口，$DRAM 这个 ETF 真的很不错。 我平时不太会夸 ETF，但这个确实很扎实。 1. $MU - 24.63% 2. Samsung - 24.11% 3. SK Hynix - 23.08% 4. $SNDK - 4.9% 5. Kioxia - 4.86% 6. $WDC - 4.77% 7. Nanya - 3.89% 8. Winbond - 2.4% 披露：@roundhill 的朋友们确实联系过我讨论发行事宜，但我不是收钱替它说话（免得你以为这条随机帖子是赞助的，不是的）。 如果你拿不到海外股票，这确实是一个很好的存储敞口 ETF。 我也希望更多机构去做这类 ETF。
原推 ↗英文原文
If you want exposure to memory, $DRAM is a genuinely great ETF. I normally don't praise ETFs, but this is solid. 1. $MU - 24.63% 2. Samsung - 24.11% 3. SK Hynix - 23.08% 4. $SNDK - 4.9% 5. Kioxia - 4.86% 6. $WDC - 4.77% 7. Nanya - 3.89% 8. Winbond - 2.4% Disclosure: Friends over at @roundhill did reach out about the launch, but I'm not getting paid to say this (just in case you think this random post is sponsored, it's not). Just a genuinely great ETF for memory exposure if you don't have access to foreign stocks. And I’d encourage more institutions to make ETFs like this.
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认为对 MU 和 AMD 来说都是好消息，只是不喜欢市场把合同义务武器化。
@Mismo_Mktg 对 $MU 到 $AMD 这些公司来说，当然都是好消息。 我只是对他们为了走到这一步而把合同义务武器化感到很烦。
原推 ↗英文原文
@Mismo_Mktg Oh it’s great news for sure from everything like $MU to $AMD. I’m just annoyed how they weaponized contractual obligations to get there
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提醒市场很残酷，不要在地缘风险下过度加杠杆。
这市场太残酷了。 如果你的股票名字里没有 Win，比如某只晶圆代工…… 那大概率宏观因素会比个股基本面更重要，比如 $MU 和 $META。 只是提醒一下，这时候不要上杠杆，也不要不负责任地过度加仓。 尤其是如果有限地面入侵随时可能开始……这可能意味着冲突延长和供应链进一步受扰。
原推 ↗英文原文
This market is brutal. If your stock doesn’t have Win in its name like a certain foundry… More likely than not macro > individual stock fundamentals from $MU and $META. Just a good reminder not to margin or irresponsibly overleverage during this time. Especially as a limited ground invasion might begin anytime… this might foreshadow extended conflicts and potential supply chain disruption.
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虽然看多存储，但宏观和战争会盖过个股表现。
没错，我总体上还是看多存储，因为我觉得需求是结构性的。价格上涨不是结构性的，但未来 $MU 到 SK 海力士的毛利率会一直很高。 不过宏观 / 战争会压过 $EWY 和其他名字。 所以如果有全球能源危机，个股表现也就没那么重要了。
原推 ↗英文原文
No, I'm largely bullish on memory since I think demand is structural. Price hikes are not, but gross margins will be high for $MU to SK Hynix moving forward. However, Macro/War overshadows $EWY and other names. So individual performance won't matter as much if there's a global energy criss.
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博主分享其对AI供应链瓶颈轮动的精准判断，从存储到光子学再到CPO/ELS，并引用研报分析AI投资超级周期的瓶颈解决序列和CPO商业化拐点
我认为我精准把握了机构层面的瓶颈轮动。 -> 在存储股的上涨尾声捕捉到了 $SNDK、三星、SK海力士、$MU -> 在光子学领域领先机构布局了 $AAOI、$AXTI、$LITE、$COHR -> 现在再次行动，大量加仓SiPh、ELS和CPO：$SIVE、$TSEM、$SOI、$AEHR、Win Semi以及其他 当然如果你想稳健操作： $MRVL（产能自用）、$AVGO（产能自用）、$TSM和$NOK也都有涉及，但他们是更大的玩家。直接曝险下一个超级周期才是理想的。 我仍然认为从存储到EML光收发器的增长空间巨大，但最大的繁荣出现在新架构周期起点/拐点处。 除了宏观因素干扰了一些交易外，预计资本将很快轮动到CPO/ELS供应链。 券商研报的摘要：AI基础设施投资超级周期遵循严格的"瓶颈解决"序列： 算力/GPU（2023）-> 存储/HBM（2024）-> 互联/网络（2025+） 翻译： "我们判断AI价值链的第三轮投资周期已正式启动。继GPU（2023）和HBM（2024）之后，2025年后，光互联将成为增长最快的核心环节。 2027-2028年将是关键拐点，CPO商业化、1.6T标准化和Scale-Up光互联将形成共振，结构性扩大相关行业TAM。" 一些要点： 1. CPO（共封装光学）正从实验室走向商业化量产 2. 2027-2028年是重大结构性拐点（现在在2026年提前布局是个好主意，从测试端$AEHR到ELS端$SIVE或封装端$POET） 3. 光学部件、材料和测试设备的市场总规模（TAM）预计将结构性扩大3到5倍（我认为这还是保守估计）。
原推 ↗英文原文
I think I nailed the institutional bottleneck rotation. -> Caught the tail end of memory name rise with $SNDK, Samsung, SK Hynix, $MU -> Frontran institutions with photonics with names like $AAOI, $AXTI $LITE, $COHR. -> Doing it again now by adding heavily toward SiPh, ELS, and CPO: $SIVE, $TSEM, $SOI, $AEHR, Win Semi, and others. Of course if you want to play it safe: $MRVL (captive), $AVGO (captive), $TSM, and $NOK all do it as well, but they're larger players. And getting direct exposure to the next supercycle is ideal. I still think there's tons of room to grow for memory to EML optical transceivers, but the largest boom is at the start/inflection point of a new architectural cycle. Macro messing up some trades aside, expecting capital rotation soon toward CPO / ELS supply chains. TLDR from analyst note: The AI infrastructure investment supercycle follows a strict "bottleneck resolution" sequence: Compute/GPUs (2023) -> Memory/HBM (2024) -> Interconnect/Networking (2025+). Translation: "We judge that the third investment cycle of the AI value chain has officially begun. Following GPUs (2023) and HBM (2024), post-2025, optical interconnects will become the fastest-growing core segment. 2027–2028 will be a critical inflection point where CPO commercialization. 1.6T standardization, and Scale-Up optical transitions align, structurally expanding the TAM of related industries" Some takeaways: 1. CPO (Co-Packaged Optics) is moving from the lab to commercial mass production 2. 2027-2028 is the major structural inflection point (good idea to frontrun this now in 2026 from testing with $AEHR to ELS with $SIVE or packaging with $POET). 3. The Total Addressable Market (TAM) for optical components, materials, and testing equipment is expected to structurally expand 3x to 5x (I think this is sandbagging a bit).
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说可以把 MU/SNDK 换成海力士，把 COHR 换成 LITE，强调自己偏好的标的。
@ajouannic 你可以把 $MU / $SNDK 换成海力士。或者把 $COHR 换成 $LITE。 我只是说说我个人更看好的替代选择。
原推 ↗英文原文
@ajouannic You can replace $MU / $SNDK with Sk Hynix. Or replace $COHR with $LITE. I'm just saying my personal preferences in what I expect to outperform.
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讨论 Google TurboQuant 对 DRAM/NAND 的影响，认为更像效率提升而非需求坍塌。
谷歌的 TurboQuant…… 以及它对 $SNDK、$MU、海力士和其他公司的影响： 它做的事情是： -> KV cache 内存占用减少 6 倍 -> H100 GPU 速度提升 8 倍 它本质上是一个压缩算法。 那现在问题来了……它会把存储压下去吗？ -> 大概率不会。 不过这也许对 $ARM 和其他公司是利好，因为你可以本地跑 AI，而不是依赖 DRAM-heavy 的数据中心。 但话说回来： -> 这基本上就是 DeepSeek round 3。你能让算法更高效，但这并不会替代存储或者 GPU。 -> 它可能会在结构上略微降低 DRAM 需求。 -> 而且到目前为止，好像也只在 Gemma、Mistral 和 Llama-3.1 这些小模型上测试过（而且那篇论文已经发了一年了） 另外，市场还把 DRAM 和 NAND 混在一起看……这个算法压的是 KV cache（DRAM），并不会对 NAND 存储有什么作用？ 不管怎样： 算法总会变得更高效。大家老说杰文斯悖论，这没错，因为这只是把用途规模继续放大。 真正该看的还是超大规模云厂商的 CapEx 预期，而不是让事情更高效的 Google 算法。 我更觉得这是个叙事层面的逆风，而不是对盈利有实质影响。
原推 ↗英文原文
Google's TurboQuant... And it's effect on $SNDK, $MU, SK Hynix, and others: What it does: -> 6x reduction in KV cache memory footprint -> 8x Speedup on H100 GPUs It's a compression algorithm. Now... Will it beat down memory? -> Prob not. Implications might be bullish for $ARM and others though where you can run AI locally, rather than DRAM heavy DCs. However: ->This is basically DeepSeek round 3. You can make algorithms more efficient. But that doesn't replace either memory or GPUs. -> It could structurally (and slightly) reduce DRAM demand. -> think it's only been tested on small models so far like Gemma, Mistral, and Llama-3.1 (and paper's been out for a year) Also, markets conflated DRAM with NAND... this algo compresses the KV cache (DRAM). Doesn't do anything to NAND storage? Regardless: Algorithms will always get more efficient. People keep saying Jevons Paradox, which is true since this just scales use cases. Main thing to look out for is hyperscaper capex projections, not Google Algorithms that made things more efficient. Feels more like a narrative headwind than anything material to earnings.
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说自己更偏好海力士而不是 MU，但内存整体仍看多。
@HeLiuLeo 我最后还是在这个价位更偏好海力士，而不是 $MU，但内存整体仍然是个不错的多头。 很多 LNG / 氦气 / 原油的担忧其实对 Opex 影响没那么大。而且需求在 2028 年后看起来还是结构性的。
原推 ↗英文原文
@HeLiuLeo I ended up preferring SK Hynix over $MU at these levels, but memory as a whole is a good long. Lot of LNG/helium/crude fears don’t really impact opex much. And demand looks structural past 2028
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回应 MU 的表现，认为其盈利很强，市场并非因为财报“超预期”而突然重估。
@alejandrobatiz 我从没说它不该更高。我本来就看多 $MU，不过更广泛的宏观环境正在拖累所有标的。 我只是说，如果像我这样的人都已经能把 $MU 的毛利率模型算进财报里，那市场就不该把它当成别人口中的“意外超预期”。
原推 ↗英文原文
@alejandrobatiz I never said it shouldn't be higher. I'm bullish on $MU, but there's broader macro dragging down every name. I'm just saying if people like myself were able to model in $MU gross margins for earnings, it shouldn't come to markets as a "surprise beat" that others are claiming.
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回顾自己用便签式测算提前推演 MU 毛利率，结果与实际财报非常接近。
回到一月份： 我当时用便签式的粗算方法，拿美光的财报毛利率预测和官方指引做了对比。 我的原话是： “如果 $MU 指引 2026 年 Q2 的毛利率为 68.0%，而 NAND 价格从估算的 33-38% 直接上涨 100%， 那毛利率预测就可能被推到 73-75% 以上。” 华尔街当时的共识大概就在 67% 到 69% 左右。 而当 $MU 真正公布财报时？ 74.9% 的毛利率，正好落在我当时预判的 73-75%+ 区间。 这就是为什么信息会在财报前就被提前计价。 所以这根本不是一个“意外结果”，因为连我这种普通人一月份都已经能估出来 / 提前计入定价了。
原推 ↗英文原文
Back in January: I napkin-math modeled Micron's earnings margin projections vs. their official projections: My quote: "If $MU guided for 68.0% gross margins Q2 2026, and we see a 100% NAND hike from 33-38% est. That could bring gross margin projections over 73-75%." Wall Street consensus was sitting right around 67% to 69%. When $MU reported earnings? Their 74.9% margin landed in that predicted 73-75%+. This is how people price in information early, before the actual earnings. So it's not a "Surprise Result" when even people like myself could estimate it/price it in, back in January.
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认为 MU 之所以今年仍跑赢大盘，是因为利润太强；若没有宏观冲击，本应更高。
@Indomitable912 是的，你的直觉是对的。$MU 今年到现在还涨了 34%+，而整个市场在下跌，原因就是他们利润实在太强。 如果不是伊朗战争、而市场又在定价降息，它现在可能已经涨到 60%+ 了。
原推 ↗英文原文
@Indomitable912 Yes your intuition is correct. The reason why $MU is still up 34%+ YTD while the entire market is tanking. Is exactly because they're making so much profit. If there weren't a War in Iran and markets were pricing in rate cuts, it would might be up 60%+ by now.
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说明存储与光子股在宏观下跌中仍然坚挺，因为利润与增速过高，重定价通常发生在财报前。
同意。记忆芯片 / 光子相关标的在更广泛的宏观抛售里还能撑住，原因就是它们的净利润（存储）和收入增长（光学）都高得离谱。 如果没有伊朗战争，$MU 可能会高得多，但核心观点仍然成立：绝大多数重估发生在财报前，而不是财报当天，除非真的出现重大意外。
原推 ↗英文原文
Yep agreed. Reason why memory/photonics is holding up against broader macro selloffs is that their net income (for memory) and revenue growth (for optical) are just way too high. If there were no Iran war $MU would likely be tons higher, but the core point still stands that most repricing happens before earnings, not on the actual day, unless there's a genuine surprise.
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总结 MU 的长期看多逻辑，并强调期权要在信息被市场完全定价前买。
是的，我确实认为 $MU 长期还会继续走高。 如果要给一个 TLDR： 1. 财报周不要去买被做空的期权，因为大概率财报信息已经被计价了。 2. 如果真要买期权，要在市场开始计价信息之前就下手（比如 DRAM / NAND 价格上涨的传闻阶段）。 3. 我不认为资本开支是这次抛售的主因，更多是期权资金流相关，然后市场需要一个故事去解释它。 4. 宏观逆风也很多，但总体来说，重估发生在财报前，靠着不同信息碎片慢慢拼出基本面变化。 财报只是对这一过程的确认而已。
原推 ↗英文原文
Yeah I do think $MU is going higher long term. If I had to give a TLDR: 1. Don't buy shorted options on earnings week, since earnings is more likely than not priced in. 2. If you're going to buy options, do it before markets price in information (eg. around rumors from DRAM/NAND price hikes) 3. I don't think capex was the reason for selloff, lot of it is option flow related and then there needs to be a story for it. 4. Lot of macro headwinds too, but in general, repricing happens leading up to earnings, piecing together different information that changes fundamentals. Earnings is just confirmation of that.
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拆解 MU 财报前后的定价路径，认为市场在财报前已提前消化大部分利好，期权周押注并不划算。
我看到很多散户在 $MU 468 美元附近的财报上慌成一团。 一般来说，股票的重定价会在财报公布之前就发生。 例外只有一种情况：指引出现重大惊喜。 而美光这次的盈利超预期，并不是那种重大惊喜。 我的看法是： - 2026 年 1 月 25 日：公开消息传出，三星把 Q1 NAND 价格翻倍，DRAM 价格也比环比预估高出约 70%（估算当时只有 33-38%）。 机构可能提前几天就从 300 份付费供应商分析里拿到消息，所以 $MU 才会从 300 美元涨到 400 美元。 - 3 月初：又有消息称三星把 Q2 NAND 价格翻倍，这属于重大意外，比一些预期高出 20 倍，也比另一些预期高出 5 倍。 同时还有消息说三星 / SK 海力士准备在下个季度大幅提高 DRAM 价格。 但这又叠加了伊朗战争、以及更广泛的宏观恐慌导致的指数下跌。 尽管大多数标的都在大幅抛售，这些基本面变化仍然让 $MU 跑赢了那些今年跌了 20% 的公司。 在财报前，彭博终端上还有一份报告预测美光会超预期，这又把股价从 400 多美元推到 460 美元。 问题在于： 这次财报超预期的大部分内容，都是提前知道并且在整整一年里被慢慢计价进去的。 如果你读过我的帖子， - 我一直在跟踪 DRAM / NAND 价格，同时估算超大规模云厂商需求； - 也在追踪原油 / LNG / 氦气扰动对半导体供应链的影响，并把任何毛利率冲击建模进去。 这就是你该怎么给存储公司定价。 -> 财报只是证明你在财报前做出的估算是对的。 所以如果你在财报周买期权： 这真的是个很差的主意。 真正能赚到的利润，都在信息被市场知道并计价之前。
原推 ↗英文原文
I see a lot of retail panicking over $MU earnings at $468. In general, re-pricing in stocks happen before earnings are announced. The exception is "unless there's a major surprise with guidance". Micron earnings beat was not a major surprise. Here's my take: - Jan 25th 2026: Public news broke out Samsung was doubling NAND prices Q1, DRAM ~70% compared to Q/Q estimates of 33-38%. Institutions probably got word a few days early from 300 paid vendor analysis, which is why $MU went from $300 -> $400. - Back in early March: News broke out Samsung was doubling NAND prices for Q2, which was a major surprise, beating some estimates by 20 times, while beating others by 5 times. There was also news that Samsung/SK Hynix were planning large DRAM price increases for the next quarter. However, this was coupled with index dropping/broader macro fears from the Ukraine war. While there was a major sell-off in majority of names, these fundamental changes, likely led $MU to outperform names like $MU that dropped 20% YTD. Leading up to earnings, there was a Bloomberg terminal report projecting Micron to beat earnings, which sent the stock from $400's to $460. The thing is: Majority of this earnings beat was known in advanced and priced in throughout the entire year. If you ever read my posts, - I've been trying to track DRAM/NAND prices along with estimating hyperscaler demand: - Tracking to track crude/LNG/Helium disruption on semi supply chains and modeling in any margin impact Which is how you price in memory companies. -> Earnings are just confirmation that your estimates before were right. So if you're buying options on the earnings week: This is a terrible idea. All the profit to be made is before information is known and priced in by the broader market.
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认为 SK Hynix 和 Samsung 会受益，也会给美国投资者打开机会，而 MU 仍然很强。
@daniel_koss 是的，这应该会给 SK Hynix 和 Samsung 带来顺风，也会给很多美国投资者打开机会。 我对 $MU 非常看多，但就算考虑“美国制造溢价”，SK Hynix 现在的估值还是有点奇怪地偏低。
原推 ↗英文原文
@daniel_koss Yeah should be a tailwind for SK Hynix and Samsung and opens the doors for a lot of US investors. I’m very bullish on $MU but it’s a bit strange SK Hynix trades at a lower valuation, even accounting for made in America premiums.
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批评很多人事后改口看多，认为市场里绝大多数内容都只是噪音。
很多人把自己的仓位都投降掉了，这真的很让人火大。 因为现在 X 上那些到处发 doompost 的人，突然又都装作自己很看多 $MU 或 $EWY。 或者那些根本不懂自己在说什么的银行分析师。 这个地方 99.9% 的人之前都在看空，还发过诸如： - “KOPSI 要崩了” - “内存图表看起来像白银？” 或者类似： “氦气 / LNG / 石油要一路往下” 但现在 $SNDK 和存储股都接近历史高点（或者已经到了），大家又都假装自己从一开始就看多。 X 上绝大多数内容都只是极度噪音。
原推 ↗英文原文
It’s infuriating that so many people capitulated their positions. Because of X influencer doomposters who are now pretending to be bullish on $MU or $EWY. Or Bank Analysts who have 0 clue what they’re talking about. 99.9% of this place was bearish and posted: - “KOPSI Crash” - “Memory charts look like Silver?” Or something along the lines of “Helium/LNG/Oil” on the way down. But now that $SNDK and memory names are ATH (or getting close), everyone is now pretending to have been bullish all long. The vast, vast majority of X are extreme noise.
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旺宏(2337)年初涨201%超越$AXTI，因填补三星/Hynix离去的legacy NAND市场获益。
哇哦，旺宏(2337)就这么轻松超越了 $AXTI？ 201.04% 对比 188% 的年初至今收益率，太难受了。 旺宏看起来就像是台湾的小 $SNDK，市值 $78.9 亿... 它们是全球最大的 NOR Flash memory、SLC/MLC NAND 供应商。 所以当三星、SK Hynix 和美光离开传统制程节点后，它们可以自由提价。
原推 ↗英文原文
Woah, Macronix (TPE: 2337) is out here casually outperforming $AXTI? 201.04% vs. 188% Year to Date return, feels bad. Macronix does look like the mini $SNDK of Taiwan at a $7.89B MC... They're the world’s largest suppliers of NOR flash memory, SLC/MLC NAND. So they get free price-hike reign now off legacy nodes that Samsung, SK Hynix, and Micron left behind.
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强调独立研究的重要性，指出恐惧驱动短期价格，但经营收入驱动长期价格。
提醒一下：当整个社区都在恐慌发帖讨论内存股名字的时候。从$EWY（SK Hynix、Samsung）、$MU和$SNDK。在伊朗冲突初期。说“Kospi和内存股会因氦气或LNG下跌30-40%”。我是全程保持看多的少数分析师之一。因为我实际上做了研究来支持我关于LNG、原油和氦气几乎没有实质性影响的观点。伊朗冲突仍在进行中，关于潜在油价飙升仍有很多未知因素：但恐惧和煽动性标题驱动短期价格。经营收入驱动长期价格。只要知道从方向上看，内存对AI建设至关重要。美国不会让他们的AI建设因中东冲突而停滞，并在AI——这个历史上最变革性的技术——上失去对中国的优势。
原推 ↗英文原文
Just a reminder: While the entire community was doomposting about memory names. From $EWY (SK Hynix, Samsung), $MU and $SNDK. during the initial Iran conflict. Sayin “Kospi and memory names would drop 30-40% because of Helium or LNG.” I was one of the only few analysts that remained bullish the entire time. As I actually did the research to back up my claims about little material disruption of LNG, Crude, and Helium. The Iran conflict is still ongoing, and there’s a lot of unknowns still regarding potential oil spikes: But fear and sensational headlines drive short term prices. Operating income drives long term prices. Just know that directionally, memory is critical to the AI buildout. United Stares wont let their buildout stall, and lose China, in AI - the most transformative technology in history. Over a Middle East conflict.
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用日文回应伊朗局势恐慌，认为媒体把内存股卖盘讲得过头了。
你说得完全对！伊朗局势把媒体搞得到处都是恐慌情绪。 但这些担忧都被夸大了。那些把内存相关股票卖掉的人，看的是煽情媒体标题（只是噪音），而不是（真正重要的）营业利润前景。
原推 ↗英文原文
@beauty_oe 本当にその通りですね！イラン情勢の影響で、メディアが至る所で恐怖を煽っています。 しかし、そうした懸念はどれも大げさすぎます。メモリ関連企業の株を売り払った人たちは、（本当に重要な）営業利益の見通しではなく、センセーショナルなメディアの見出し（単なるノイズ）を見ていたのです。
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回顾被恐慌卖掉内存股的人，强调 NAND、DRAM 涨价和利润才是决定长期走势的关键。
想象一下那些卖掉自己内存仓位的人。 因为“氦气”就把 SK 海力士、Sandisk 和 Micron 卖掉？ SK 海力士：1 日 +7.03% $SNDK：1 周 +31.75% $MU：1 周 +19.66% 三星：1 日 +2.83% 看看 NAND、DRAM 的涨价，那些都远远高于预期。 而且公司也明确说没有任何实质性影响。 媒体 doompost 和恐慌盘会驱动短期价格。 但经营利润决定长期股价。
原推 ↗英文原文
Imagine all the people who sold their memory positions. From SK Hynix, Sandisk, and Micron because of “Helium”? Sk Hynix: +7.03% 1D $SNDK: +31.75% 1W $MU: +19.66% 1W Samsung: +2.83% 1D Look at NAND, DRAM hikes, which were all way beyond estimates. As well as company statements that there was zero material effect. Media doomposters and panic sellers. drives short term prices. Operating profit drives long stock prices.
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内存价格预计涨至2028年，AI结构性需求支撑利润，即使利润率下降行业仍被看好
内存周期。 大概会像这张图一样吗？ 以SK Hynix、$SNDK、三星、$MU等为例： -> 价格持续上涨至2028年 -> 需求增长具有持久性 -> 2028年后价格回落 -> 产能增加 * 需求增加 * 利润率下降 = 利润依然可观。 例如： 2026年Q1：DRAM、NAND价格上涨 - NAND价格环比上涨100%+，DRAM上涨70%+。 2026年Q2：DRAM NAND价格上涨 - 三星Q2 NAND价格再次上涨100%+，DRAM上涨。 Q3至2028年价格持续上涨。 1. 反方观点：「在2027年下半年没有任何情景会让内存价格回调，考虑到超大规模云厂商的采购意愿丝毫未减」 2. 英特尔CEO：「2028年前内存短缺不会缓解」。 然而人们误解了的是： -> 内存需求是结构性的，由AI驱动。 -> 但价格不是（结构性的）。 2026年极端内存短缺情况下，我们很可能持续看到价格上涨。 但价格会在2028年开始下跌。人们混淆的是： -> AI带来的极端需求不会导致价格跌到零。 -> 更多产能不会导致需求突然归零。 供给增加 * 价格 * 需求增加 * 更低运营利润率 = 利润依然可观。 运营利润不会像现在这样环比增长10000%+。 但如果SK Hynix通过产能增加、利润率下降但保持稳定运营利润，年度运营收入约1000亿美元以上，市值4000亿美元： 对比1000亿 -> 2200亿 -> 900亿 -> 1200亿的模式。 那就看起来被低估了。 我不认为会出现末日派所预测的1000亿->1800亿（2027年）->100亿的情况，即因需求下滑（如智能手机）和利润率下滑而亏损运营。 主要需要关注两件事：软件/内存使用效率是否变得极高，或者超大规模云厂商资本支出突然消失（AI不再是回事）。 GPU训练/推理也是同样的逻辑。 但我最主要关注的是超大规模云厂商资本支出预测，作为第一指标。不是断章取义地从三星高管那里摘取几句话来预测两年后的运营收入。 AI从根本上改变了「商品」内存的本质，类似于2023年的GPU。
原推 ↗英文原文
The Memory Cycle. Is probably going to look like this chart? With SK Hynix, $SNDK, Samsung, $MU and others: -> Price Hikes until 2028 -> Demand Increase Permanent -> Price Decreases After 2028 -> Increased Capacity * Increased Demand * lower margin = High Profit Anyway. For example: 2026 Q1: DRAM, NAND Price Hikes - NAND prices 100%+ Q/Q, DRAM up 70%+. 2026: Q2: DRAM NAND Price Hikes - Samsung hikes Q2 NAND prices 100%+ Again, DRAM up. Q3 -> 2028 Price Hikes. 1. Counterpoint: "There is no scenario where memory prices correct in the second half [of 2027], given that hyperscaler purchasing intent remains unbroken" 2. Intel CEO: "No Relief on Memory Shortage Until 2028". However what people misunderstand: -> Memory Demand Is Structural with AI. -> Prices are not. We'll likely keep seeing price hikes with the extreme memory shortage in 2026. But prices start to fall in 2028. What people conflate is: -> Extreme demand for AI will not cause prices to go to 0. -> More capacity will not cause demand to suddenly go to 0. More Supply * Price * More Demand * lower operating margin = more profit anyway. Operating income will not be 10000%+ Q/Q like now. But if SK Hynix is producing a more steady ~$100B+ operating income Y/Y at a $400B MC from increased capacity but lower margin: Compared to $100B -> $220B -> $90B -> $120B. Then that itself looks undervalued. I don't see a world where it ends up being $100B-> $180B (2027) -> $10B what doomposters are projecting, where they operate at a loss from both demand downturn (eg. smartphones) and margin downturn. The main two things is to look out for is if software/memory usage gets extremely, extremely efficient or hyperscaler capex suddenly disappears (AI is no longer a thing). Same could be said around GPUs for training/inference. But, I would mainly be looking out for hyperscaler capex projections as the #1 indicator. Not random out of context quotes taken from Samsung executives to signal operating income two years out. AI has fundamentally changed what the "commodity" memory is, similar to GPUs back in 2023.
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列出 AI Displacement 等权组合年初至今回报，认为自己无意中做出了一个很强的 ETF。
我看了一下书签数量，才意识到： 我低调地搞出了一个很能打的 ETF？ AI Displacement 等权组合年初至今： $AXTI：+191.53% $AAOI：+144.47% $SNDK：+140.38% $SOI：+114.3% $LITE：+61.22% $AEHR：+60.97% $BE：+56.56% $VRT：+47.42% Samsung：+42.8% $TER：+37.99% $MU：+35.1% SK 海力士：+34.42% $NBIS：+25.57% $COHR：+24.92% Mediatek：+17.01% $INTC：+16.23% $ASML：+15.63% Advantest：+11.78% $TSM：+5.85% $COPX：+4.56% $TSEM：+2.44% $MRVL：-1.71% $NVDA：-4.55% $AVGO：-7.32% 这只是我脑子里第一时间想到的名字。 我个人持有其中很多，也没持有另外一些，比如 $NVDA 或 $BE，但我还是把它们放进来了。 不过老实说，如果我现在不是在主动管理仓位集中度，我会很愿意把这些名字等权配置。 我预计 AI Displacement ETF 还会继续上涨： 因为这些公司都是人工智能扩展算力和推理最主要的受益者。
原推 ↗英文原文
I realized by the amount of bookmarks. I lowkey dropped a banger ETF? AI Displacement Equal Weighted YTD: $AXTI: +191.53% $AAOI: +144.47% $SNDK: +140.38% $SOI: +114.3% $LITE: +61.22% $AEHR: +60.97% $BE: +56.56% $VRT: +47.42% Samsung: +42.8% $TER: +37.99% $MU: +35.1% Sk Hynix: +34.42% $NBIS: +25.57% $COHR: +24.92% Mediatek: +17.01% $INTC: +16.23% $ASML: +15.63% Advantest: +11.78% $TSM: +5.85% $COPX: +4.56% $TSEM: +2.44% $MRVL: -1.71% $NVDA: -4.55% $AVGO: -7.32% These are just the first names that came to my head. I own a lot of these personally (and don't own others like $NVDA or $BE ) but included them anyway. But honestly, I'd be happy to equal weight all these names if I weren't actively managing my portfolio concentrations. I expect the AI Displacement ETF to keep rising: As they're the largest beneficiaries of scaling compute and inference for artificial intelligence.
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认为 AI 已引发不可逆的岗位替代，投资相关基础设施和瓶颈是对冲失业冲击的主要方式。
这个消息真的很令人心碎： $META 裁员 20% $ORCL 裁员 $AMZN 长期将有 60 万名工人被机器人和 AI 取代。 这是一种反乌托邦未来。 企业在没有人工劳动成本的情况下，仍然能赚创纪录的利润。 唯一能从中受益的办法： 把 AI 当成对冲工具去投资。 未来几年，想逃离 AI 造成的永久底层阶级，感觉最主要的办法就是这样。 AI 产生的股东权益回报，将流向股东。 而那些没投资股票、只能靠工资过活的人之间的差距会继续拉大。 这不是未来，而是已经在发生。 - Opus 4.6 已经足够替代今天大多数软件工程师。 - Waymo 已经开始在旧金山这样的地方替代出租车司机。 - 我们知道 $TSLA 的人形机器人也快来了，因为它们在中国已经普及。 这件事现在就在发生。 伊朗的扰动只是 AI 建设加速过程中的短期事件。 AI 已经到达拐点，而且似乎不可避免。 你已经看到美国就业修正接近减少 100 万，这非常惊人。 而且我们正在看到，新一代 LLM 正在由它们前一代模型自己构建，AI 正在逼近奇点（AI 递归增长）。 如果你要投资那些运行 AI 所需的算力和硬件： 数据中心 / 电力 / 电网板块： $NBIS、$XLU、$VRT、$BE 光子板块，负责扩展 AI： $LITE、$COHR、$AAOI、$TSEM 半导体板块，负责芯片： $NVDA、$TSM、$ASML、$INTC 存储板块，负责芯片： $MU、$SNDK、SK 海力士、三星 ASIC，负责超大规模云 AI 推理： $AVGO、$MRVL、Mediatek 良率 / 测试板块，确保芯片能工作： $TER、$AEHR、Advantest 以及 AI 所需的原材料或基板： $AXTI、$COPX、$SOI 还有很多其他公司，都在成为对抗大规模 AI 失业的单一、最大对冲工具。 谁掌握了算力的生产资料（瓶颈、材料、数据中心）： 谁就掌握了 AI 的未来。
原推 ↗英文原文
The news is pretty heartbreaking: $META 20% layoffs $ORCL layoffs $AMZN 600,000 workers long term layoffs as they get replaced by robotics and AI. This is a dystopian future. Companies end up with record profits, without the cost of human labor. The only way to benefit: Investing in AI as a hedge. The next few years feels like the main way to escape the permanent underclass, caused by AI displacement. The return on equity derived from AI will go to the shareholders. While the gap between those who live paycheck to paycheck, not invested in stocks. Will continue to grow. This is not the future. - Opus 4.6 is good enough to replace most software engineers today. - Waymo has started to replace taxi drivers in places like SF today. - We know $TSLA Humanoids are coming next as they’re widespread in China, today. This is happening now. Disruptions in Iran are only temporary to the accelerating AI buildout. AI has hit the inflection point, and looks inevitable. You’re already seeing US job revisions down close to 1 Million, which is staggering. And we’re seeing the newest LLMs be built by their previous models, as AI approaches the singularity (AI led recursive growth). Investing in where the compute and hardware needed to run the AI: From the datacenter/power/grid sector: $NBIS, $XLU, $VRT, $BE Photonics sector needed to scale AI: $LITE, $COHR, $AAOI, $TSEM Semi sector needed for the chips: $NVDA, $TSM, $ASML, $INTC Memory sector for the chips: $MU, $SNDK, SK Hynix, Samsung ASICs for hyperscaler AI inference: $AVGO, $MRVL, Mediatek Yields sector to make sure the chips work: $TER, $AEHR, Advantest Along with the raw materials or substrates needed for AI: $AXTI, $COPX, $SOI And many others become the single, largest, hedge against widespread AI displacement. Whoever owns the means of compute (bottlenecks, materials, datacenters): Owns the future of AI.
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看好内存价格和相关公司利润率
Counterpoint 的内存价格研究： “没有任何情景会让内存价格在 2027 年下半年回调，因为超大规模云厂商的采购意愿依然没有松动。” 这说的是 $SNDK、$MU、$EWY（SK 海力士、三星）以及其他内存公司。 他们指出： 三星、SK 海力士、美光、长鑫存储和南亚科的 DRAM 产量预计今年增长 26%，NAND 增长 24%。 但超大规模云厂商的需求在可预见的未来大概率会远超供给。 这和 $INTC CEO 说的“内存短缺要到 2028 年才会缓解”很像。 而且 NAND 价格在一季度已经上涨了 100%+，三星二季度还在继续上调 NAND 价格。 DRAM 价格也在不断提价。 内存厂商运营利润率的爆发式提升，可能会压过任何宏观因素。
原推 ↗英文原文
Memory Price Market Research from Counterpoint: "There is no scenario where memory prices correct in the second half [of 2027], given that hyperscaler purchasing intent remains unbroken" In regards to $SNDK, $MU, $EWY (Sk Hynix, Samsung), and other memory names. They commented: DRAM output from Samsung, SK Hynix, Micron, CXMT, and Nanya is forecast to grow 26% this year, with NAND up 24%. But hyperscaler demand will likely far outstrip supply for the foreseeable future. This mirrors $INTC CEO's comments about "No Relief on Memory Shortage Until 2028". With NAND prices Q1 increasing 100% + Samsung hiking NAND prices Q2. And DRAM prices going through constant price hikes. The explosive increase in operating margins from memory makers across the board are poised to outweigh any macro.
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用 Cramer 反向指标串起一串当日强势股
Jim Cramer：“今天就是没法赚钱的一天。” 当天： $AXTI：+15.08% $AAOI：+11.5% $HIMS：+6.05% $LITE：+7.06% $SNDK：+6.12% $IQE：+19.08% SK 海力士：+4.38% $MU：+4.65% $COHR：+4.86% 这和前一个帖子里周日提到的“150-200 美元原油”呼应上了。 Cramer 指标又一次显灵了。
原推 ↗英文原文
Jim Cramer: “Just impossible Day to Make Money”. Today: $AXTI: +15.08% $AAOI: +11.5% $HIMS: +6.05% $LITE: +7.06% $SNDK: +6.12% $IQE: +19.08% SK Hynix: 4.38% $MU: +4.65% $COHR: +4.86% This is following the previous post about “$150-200” Oil on Sunday. The Cramer indicator strikes again.
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NAND供应紧缺致价格飙升，内存厂商将大幅受益。
NAND 价格现已失控飙升。 像 $SNDK、$MU、三星、SK 海力士这样的内存公司，将从缺乏弹性的供应和最近的 NAND 价格上涨中获益最多。 据 Digitimes 报道，群联电子(Phison)CEO 表示： “随着供应收紧，NAND 闪存价格飙升，部分制造商的报价一夜之间上涨高达 50%。” 此前有报道称，三星已将第二季度 NAND 价格翻倍。 可用库存正变得几乎不存在，超大规模云服务商和其他公司愿意不惜一切代价以确保获得配额。
原推 ↗英文原文
NAND prices have now spiraled out of control. Memory companies like $SNDK, $MU, Samsung, SK Hynix stand to benefit the most from inelastic supply and recent NAND price hikes. According to Phison's CEO per Digitimes: "NAND flash prices have surged amid tightening supply, with some manufacturers raising quotations by as much as 50% overnight" This follows reports this week that Samsung has just doubled NAND prices for Q2. Available inventory is becoming non-existent, with hyperscalers and companies willing to pay anything to secure allocation.
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甲骨文澄清阿比林数据中心进展，回应彭博社引发的抛售。
彭博社关于 OpenAI 和 $ORCL 的报道在周五引发了大规模抛售。 涉及从 $LITE 到 $MU 的半导体供应链。 今天，甲骨文发布声明回应彭博社： “近期关于阿比林（Abilene）站点的媒体报道是虚假且不正确的。 首先，Crusoe 和甲骨文正紧密协作，以破纪录的速度交付全球最大的 AI 数据中心之一。 其次，甲骨文已完成额外 4.5GW 的租赁，以履行我们对 OpenAI 的承诺。” 此前，商务部周四已驳斥了关于 $NVDA 和 $AMD 出口管制的虚假报道。
原推 ↗英文原文
Bloomberg’s piece on OpenAI and $ORCL triggered a massive selloff Friday. Of the semi supply chain from $LITE to $MU. Today, Oracle put out a statement in response to Bloomberg: “Recent media activity about the Abilene site are false and incorrect. First, Crusoe and Oracle are operating in lockstep to deliver one of the world's largest AI Data centers in Abilene at record-breaking pace. Second, Oracle has completed leasing for the additional 4.5GW to deliver on our commitments to OpenAI.” This comes following the Department of Commerce denying the false reports around $NVDA and $AMD export controls on Thursday.
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驳斥彭博社误报出口管制草案引发半导体供应链恐慌性抛售。
彭博社刚刚引发了半导体市场的崩盘。凭记忆，受影响的标的从 $EWY 和 $SNDK 到 $NVDA 和 $TSM 都有。起因是假新闻。这简直是路透社关键矿产误导性报道的2.0版本。肯定得有人为此负责？
原推 ↗英文原文
Bloomberg just caused a semiconductor market crash. From memory names in $EWY and $SNDK to $NVDA and $TSM. Off fake news. This is Reuters critical minerals misleading reporting v2. Certainly someone needs to be held accountable? https://t.co/YaBNpl8nFB
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澄清AI芯片出口管制仅为提案，驳斥误报引发的供应链恐慌。
“美国正考虑要求全球 $NVDA、$AMD AI 芯片销售需获许可” 市场正对特朗普政府拟对英伟达实施类似 $AXTI 出口管制待遇的消息做出剧烈反应。 关键词：提案 | 草案。 该提案原样通过的可能性几乎为零。 随着消息报道，科技公司很可能正在游说政府。 文章中提到： 特朗普政府将提出法规，要求全球 AI 芯片出货需经美国批准。 该法案的结果将毫无理由地造成 AI 贸易瓶颈，并损害特朗普最看重的指标：美国股市。 特朗普曾以废除拜登时代的 AI 扩散规则而闻名： “包括英伟达、微软和甲骨文在内的主要美国科技公司曾游说反对该规则，认为其可能导致数十亿美元收入损失，并促使合作伙伴转向中国技术。” 因此，新政策的实施将与其议程背道而驰。 不幸的是，其他文章和新闻将其改写为迫在眉睫的出口管制，而非提案。 耸人听闻/虚假的标题报道引发了从 $TSM、$NVDA 到 $MU 的整个供应链今日的大幅抛售。 然而，人们确实有权对潜在影响感到担忧。
原推 ↗英文原文
“US Mulls Requiring Permits for Global $NVDA, $AMD AI Chip Sales” Markets are reacting violently to news of the Trump administration was thinking about giving Nvidia the $AXTI export control treatment. Keyword: Proposal | Draft. There is an almost zero chance it passes as is. Tech companies are likely lobbying the administration as this gets reported. In the article: The Trump administration will propose regulations that would require American approval for AI chip shipments worldwide. The result of this bill would bottleneck the AI trade for no reason and harm Trump’s favorite metric: the US stock market. Trump was known for rescinding the Biden-era AI Diffusion Rule: “Major U.S. tech firms, including Nvidia, Microsoft, and Oracle, lobbied against the rule, arguing it could cost them billions in revenue and push partners towards Chinese technology.” So a new policy getting enacted, would be counterintuitive to his agenda. Unfortunately other articles + news on elsewhere reworded this as an imminent export control, rather than a proposal. Sensational / false headline reporting triggered a massive selloff of the entire supply chain from $TSM, $NVDA, to $MU today. However, people do have a right to be worried about the implications.
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分析AAOI光子学护城河与SOTP估值，认为其上行空间值得执行风险。
感觉 $AAOI（市值75亿美元）是目前上行空间最大的 AI 交易之一？ 在光子学领域，许多机构错过了上游瓶颈环节 $AXTI，因此散户可以在其被定价前发现这些机会。 对于 $AAOI，有一条清晰的通往 470 亿美元+ 估值的路径： 经济护城河： > 激光晶圆厂、设计及组装 > 德克萨斯州的激光产能翻三倍 > 美国制造（部分组装在台湾，但将于 2027 年回流美国） 预测： > 2027 年第二季度每月营收 3.78 亿美元 > 指引毛利率 35-38% -> 第三季度毛利率 40% 需求： > 超大规模云服务商买断了 $AAOI / $LITE / $COHR 能生产的所有产能 如果他们实现 2027 年下半年的营收目标： 激光组件权重：20% × 18.9 倍（$LITE 估值倍数）= 3.78 倍 组装组件权重：80% × 8.5 倍（中际旭创/新易盛估值倍数）= 6.80 倍 $AAOI 的混合分部加总(SOTP) 估值倍数 = 10.58 倍远期销售额 如果他们实现预测，你仍然会得到 476 亿美元的市值。 这还不包括像 $MU 对比 SK 海力士那样赋予公司的“美国制造”溢价。 以及他们通过内部优化光模块(transceiver)供应链所获得的任何利润率扩张。 鉴于目前市值仅为 75 亿美元，我认为市场不会等到 2027 年第二季度才开始将其定价。 $AAOI 的上行空间值得承担执行风险吗？ 对我来说：是的，毫无疑问。
原推 ↗英文原文
Feels like $AAOI ($7.5B MC) is one of the highest upside AI trades right now? With photonics lot of institutions miss upstream bottlenecks $AXTI, so retail can spot them before they get priced in. With AAOI, there’s a clear path to a $47B+ valuation from: Economic moat: > laser fab, the design, and the assembly > tripling laser capacity in Texas > made in America (some assembly in Taiwan but reshoring that to US in 2027) Projections: > $378m revenue per month in q2 2027 > guided 35-38% gross margins -> q3 40% gross margins Demand: > Hyperscalers buying out any capacity $AAOI / $LITE / $COHR can make If they hit their 2027 H2 revenue target: Laser Component Weight: 20% × 18.9x ( $LITE est. multiple) = 3.78x · Assembly Component Weight: 80% × 8.5x (Innolight/Eoptolink Multiple) = 6.80x · $AAOI’s Blended SOTP Multiple = 10.58x Forward Sales You still get a $47.6B Market Cap if they deliver projections. This is not including any potential Made in America premiums that get assigned to companies like $MU vs. SK Hynix. And any margin expansion they get from optimizing the transceiver supply chain in-house. Given the marketcap is a small $7.5B now, I don’t think markets will wait for q2 2027 to start pricing it in. Is the $AAOI upside worth the execution risk? To me: Yes, Unequivocally.
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列举AI半导体供应链各环节代表公司及代码
@jahintanvir_ 大概包括这些： 内存 - $MU, 三星, SK海力士, 闪迪 晶圆代工, 封装 - $INTC, $TSM, $AMKR 光子学(Photonics) - $LITE, $COHR, $AAOI 专用集成电路(ASICs) - $AVGO, $MRVL 连接 - $ALAB, $CRDO 电力/电网 - $XLU 数据中心 - $NBIS, $CIFR, $WULF
原推 ↗英文原文
@jahintanvir_ Probably the likes of these: Memory - $MU, Samsung, SK Hynix, Sandisk Foundries, Packaging- $INTC, $TSM, $AMKR Photonics - $LITE, $COHR, $AAOI ASICs - $AVGO, $MRVL Connectivity - $ALAB, $CRDO Power/Grid- $XLU Datacenters - $NBIS, $CIFR, $WULF
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看好$AAOI十倍增长潜力，视其为光子学核心持仓。
$AAOI 对我来说感觉是必须配置的共封装光学(CPO)敞口。 他们的财报简直像黑魔法一样神奇。 $LITE（市值500亿美元）：2026财年预估营收约29.1亿美元 $AAOI（市值56亿美元）2027年下半年：43.5亿美元年度经常性收入(ARR)。 他们的增长预测在2026年实际上已经超越了 $LITE。 我没开玩笑。 $AAOI 的毛利率约为40%，$LITE 凭借光电路交换(OCS)垄断地位可能达到45%。 “长期毛利率目标约为40%。” 别误会，$LITE 是一只极佳的长线股，因为其在 $GOOGL TPU 和 Google 资本支出中占据8-12%的物料清单(BOM)份额... 但 $AAOI 的营收顶层增长接近去年营收的10倍，这简直不可思议。 如果你用草稿纸数学模型计算： “管理层预测，到2027年第二季度，每月光收发器营收潜力达3.78亿美元” ~ 43亿美元目标，40%毛利率（自产），17.2亿美元毛利润，也许~6亿美元资本支出/运营支出： 净利润 ~8.96亿美元。 远期市盈率（基于2027年净利润）：~6.4倍远期市盈率，对应约900%的同比增长。 而且如果你看光子学产能爬坡，预计向2030年呈指数级增长。 从他们的管理层电话会议来看，超大规模云服务商（$GOOGL, $MSFT, $AMZN）很可能买断了所有可用的光收发器产能。 这让我想起早期的 $ALAB 或 $CRDO，所有超大规模云服务商都是他们的客户。 如果你考虑到像 $SNDK 的NAND闪存那样的价格涨幅： +15% 平均售价(ASP)涨幅：14.1亿美元净利润 - （4.1倍远期市盈率） +30% 平均售价(ASP)涨幅：19.2亿美元净利润 - （3.0倍远期市盈率） 这就是为什么我在 $AAOI 财报后如此兴奋。 甚至还没包括 $AAOI “美国制造”的光收发器供应链，这将使他们获得相对于 $FN、中际旭创(Innolight)、易普联(Eptolink)等海外厂商的溢价。 有点像 $INTC 对 $TSM 或 $MU 对 SK海力士的溢价。 如果他们的预测成真，且价格涨幅使光子学板块在800%+增长下达到3倍市盈率，回报率将是天文数字。 再次强调，这些是管理层预测，执行力才是关键。 无论如何，我将 $AAOI 作为我最大的光子学持仓之一，因为这看起来像黑魔法，也是下一个 $SNDK 的开端。 如果他们能实现预测，非零概率是我们在一年半后看到其达到 $LITE 500亿美元的估值。
原推 ↗英文原文
$AAOI feels like must-have photonics exposure to me. Their earnings report is genuinely black magic. $LITE ($50B MC): FY 2026 est. ~$2.91B $AAOI ($5.6B MC) H2 2027: $4.35B ARR. Their growth projections literally leapfrogged $LITE for 2026. Not even kidding. Gross margins are ~40% for $AAOI, maybe 45% for $LITE with OCS monopoly. "-term objective of gross margins to around 40%," Don't get me wrong, $LITE is an amazing long due to 8-12% BOM of $GOOGL TPU and Google capex spend... But $AAOI top line growth for revenue is close to 10X revenue growth from last year's revenue, which is just insane. And if you go off napkin math modeling: "By Q2 2027, management forecasts monthly transceiver revenue potential of $378 million" ~ $4.30B target, 40% margin (in-house), $1.72B gross profit, maybe ~$600m capex/opex: Net income ~$896M. Forward P/E (on 2027 NI): ~6.4x forward p/e off ~900%-ish Y/Y growth. And if you look at photonics ramp, it's expected to increase exponentially toward 2030. From their management call hyperscalers likely ( $GOOGL, $MSFT, $AMZN ) are buying out all available capacity for transceivers. Reminds me of a early $ALAB or $CRDO where all the hyperscalers are their customers. And if you get to likely price hikes like NAND for $SNDK: +15% ASP Price Hike: $1.41B net income - (4.1x forward p/e) +30% ASP Price Hike: $1.92B net income - (3.0x forward p/e) This is why I got so excited about $AAOI post-earnings. Not even including $AAOI "Made in America" transceiver supply chains that would give them a premium where $FN, Innolight, Eptolink, and others do theirs abroad. Kinda like $INTC to $TSM or $MU to SK Hynix premiums. The ROI for this is just astronomical if they hit their projections and price hikes give them a 3 p/e rate off 800%+ growth in photonics segments. Again, these are management projections, execution is the biggest the name of the game. Regardless, I'm making $AAOI one of my largest photonics positions because this looks like black magic and the beginning of the next $SNDK. There's a nonzero chance we might see this at a $50B $LITE valuation one and a half year from now if they can execute on their projections.
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$AAOI若达预期市值或达250-300亿，核心持仓但存执行风险。
财报后，如果$AAOI 达成预期，明年市值有望从$50亿轻松跃升至$250亿-$300亿。它是少数“美国制造”（德克萨斯州Sugarland）的公司，对比竞争对手：$LITE（全球）、$COHR（全球）、$FN（泰国）、$AVGO（全球）、中际旭创（中国）和易飞扬（中国）。因此它可能像$INTC对比$TSM、$MU对比SK海力士那样获得“美国溢价”。但看营收：FY营收4.56亿美元，2027年ARR预计45.36亿美元（~900%+增长）。加上30%-40%的低端利润率预期及超大规模云厂商认证，这太疯狂了。虽有$2.5亿ATM增发，但相比预期只是九牛一毛。这部分极有趣：管理层称800G、1.6T模块的需求和产能到2027年中可能激增近10倍。这对$IQE、Landmark等外延晶圆(epiwafer)公司及更上游的$AXTI也是巨大顺风。$AAOI是2026-2027年的核心持仓，但始终存在交付执行的風險。$250-300亿市值预期听起来超现实，但如果达成$43.5亿ARR（900%+增长），光电子规模化在2028-2029年可能继续扩大，财报确实惊人。
原推 ↗英文原文
After earnings, $AAOI could easily be a $25B-$30B company next year from $5B if they hit their projections. And they're one of the only "Made in America" (Sugarland, Texas) companies out of - $LITE (global) - $COHR (global) - $FN (Thai) - $AVGO (global) - Innolight (China), and Eoptolink (China). So they likely get that "America" premium like $INTC compared to $TSM and $MU compared to Sk Hynix. But from revenue: FY Revenue: $456 million 2027 ARR by : $4.536B (~900%+ growth). Off high 30's - low 40% projected margins + hyperscaler qualifications. This is wild. But there was a $250M ATM, but that's typically pennies compared to the projection. This part is extremely interesting: -> Management stated that demand and capacity for 800G, 1.6T modules could surge nearly 10x by mid-2027. This is also a large tailwind for epiwafer companies too like $IQE and Landmark and more upstream like $AXTI. $AAOI is a core hold over 2026-2027, but there's always execution risks if they can deliver. $25-30B MC projections sound surreal but that's how wild the earnings was if they hit $4.35B ARR, off 900%+ growth (and photonics scale up is likely to continue even further into 2028-2029)
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博主复盘YTD 477%收益，归功于AI供应链瓶颈研究与亚盘资金轮动策略。
年初至今在 $NVDA 财报后表现： 477.27%。 大部分收益源于我过去几个月的研究： 例如从近期上涨数百倍的 $AXTI 磷化铟(InP)瓶颈中获利。 或者利用 Jane Street 因 SK 海力士/三星的隐含波动率(IV) Vega 扩张而在 $EWY 上的交易获利。 许多其他交易在短期内也获得了百分之几十甚至数百%的回报。 比如 $XLU 一周上涨 3%，以及 $MU 和 $SNDK 史诗级的方向性反弹。 人们通常喜欢看这样的最终结果，这确实最引人注目。 但当前收益的大部分基础早在几个月前就已奠定，从对 $LITE 的 Google BOM 分析，到去年对 Unimicron、Nittobo 甚至 $TSM 的半导体供应链瓶颈研究。 即使现在，我也在为未来播种，例如对电力/电网板块 $XLU 的分析，或理解上风险较高但作为光子学供应链中 $LITE 供应商的 $IQE。 我通常遵循以下流程： > 研究帖子（初始论点） > 将其转化为实际想法和交易 > 对 Alpha 进行后续尽职调查（例如 SMM InP 定价） > 当行情上涨时庆祝。 跨行业，且通常关注有动量的板块。 而不是死守单一个股，或只做分析而不交易。 我认为人们可能觉得这种风格令人耳目一新。 我认为最近我只是在利用两个不同的趋势： 1. 聚焦 AI 供应链中的活跃瓶颈 - 存储：$SNDK、$MU、SK 海力士、三星、$SIMO - 光子学：$LITE、$COHR、$AAOI、$IQE、$AXTI 和 Yamamura - 电力电网：$XLU - 先进封装/良率：$AMKR、$ONTO、$CAMT、$KLIC、$FORM 和 $AEHR 2. 然后聚焦资金轮动至台湾、日本、韩国。 基本上上周资金轮动是从美国/中国 -> 韩国、台湾、日本。 像 $EWJ 这样的 ETF 或 Nanya Plastics 等个股正在起飞。 - 台湾股票基金最近单周净流入超过 10 亿美元，这是几个月来首次 - 对于日本：高盛图表显示 +0.37 的标准差净买入 - 对于韩国，外国人在 2 月上半月净买入约 1.37 万亿韩元（约 10 亿美元） 而高盛图表显示北美空头活动令人震惊的 -1.52 标准差。 所以这可能是我对 $HOOD 投资者因缺乏亚洲股票敞口而表现不佳的假设原因。 原因是超大规模云厂商的资本支出交易流向供应链中的亚洲国家（例如，一些分析师预测 SK 海力士 2027 年远期市盈率仅为 2.2，这很荒谬）-> 机构跟随资金流进行资本轮动。 至于一些反思，我真惊讶于如今有多少人阅读我的帖子，这真的让我感到谦卑！ 我通常不太庆祝（去年我只做过一次，当时是 1 年回报 600%+），但我惊讶于今年我在时机把握和论点正确率上的好运。 我并不完美，我确实会犯一些错误，但更重要的是我每天绿色的日子多于红色的。 但感谢大家，我在两三个月内从小账户增长到了 83K！
原推 ↗英文原文
Year to Date post $NVDA earnings: 477.27%. Majority of the gains are the result of the research I've done the past few months: From the $AXTI's InP chokepoint that went up few hundred percent recently. or profiting off Jane Street from $EWY IV vega expansion for Sk Hynix/Samsung. Many others were tens of % or hundreds of percent returns each in a short timeframe. Like $XLU going up 3% in a week to the epic directional rally of $MU and $SNDK. I think people just like to see the end results like this, which is understandably the most eye-catching. But most of the groundwork for the current returns was laid out months ago from $LITE Google BOM analysis to semi supply chain bottlenecks from Unimicron, Nittobo, and even $TSM last year. Even now I’m planting the seeds for the future with analysis on $XLU for the power/grid sector, or understandably higher risk companies like $IQE as a $LITE supplier for the photonics supply chains. I typically shift from: > Research Posts (Initial thesis post) > Map that into actual ideas + trades > Follow-Up DDs on Alpha (eg. SMM InP pricing) > celebrate when things go up. cross-industry, and typically on sectors with momentum. Rather than sticking single stocks, or just analysis only (instead of trading). And I think people might have found this style refreshing. I think recently, I’m is just capitalizing on two different trends: 1. Focusing on active bottlenecks in AI supply chains - Memory like $SNDK, $MU, Sk Hynix, Samsung, $SIMO - Photonics like $LITE, $COHR, $AAOI, $IQE, $AXTI, and Yamamura - Power Grid like $XLU - Advanced Packaging/Yields - $AMKR, $ONTO, $CAMT, $KLIC, $FORM, and $AEHR 2. Then focusing on Capital Rotation into Taiwan, Japan, Korea. Basically past week capital rotation was rotating from US/China -> Korea, Taiwan, Japan. ETFs like $EWJ or individual stocks from Nanya Plastics have been taking off. - Taiwan Equity Funds recently took in over $1 billion in a single week for the first time in months - For Japan: GS chart's +0.37 long buying - For Korea, foreigners were net buyers of roughly 1.37 trillion won (~$1 billion USD) in the first half of February While GS chart shows a staggering -1.52 SD in short activity for North America. So that's probably my assumption on why $HOOD investors haven't been doing too well from a lack of Asian equity exposure. The reason being Hyperscaler capex trade flows into Asian countries in the supply chains (eg. Some analysts projected Sk Hynix to have 2.2 2027 fwd p/e, which is absurd) -> institutions following the flow with capital rotation. As for some reflection, I'm genuinely surprised by how many people read my posts nowadays and it’s really humbling! I don’t really celebrate this much (last year I only did one time with a 600%+ 1Y return) but I’m amazed by how lucky I am this year with timing and getting a lot my thesis right. I’m not perfect, I do get a few things wrong, but what’s more important is I get more green than red every day. But thanks to everyone, I grew from a little account to 83K in like two or three months!
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分享过往高收益交易经验，强调轮动策略，并列出当前看好的AI瓶颈板块。
去年我分享了我的1年回报率： 在我加入X之前就已达到630.44%。 外面有很多阴谋论者。 但我确实是一个不错的自由裁量交易员（Discretionary Trader）。 其中很大一部分归功于： > 抢跑减半（Front-running halving） > 在10多美元时买入 $RKLB > 在10多美元时买入 $HOOD > 交易总统提名催化剂 > 搭乘多次上涨浪潮。 大多数人不会轮动，而是全程持有一只股票。 诀窍是搭乘每一次上涨浪潮，如果盈利开始放缓/停止，就转向下一个，不要对某只股票产生过多依恋。 今年也是如此，只是不同的板块和催化剂。 （引用内容）： 年初至今：412.72% 其中很大一部分只是选对了板块，从Jane Street算法的每周波动中获利，以及一点运气。 在瓶颈多头方面，目前我最喜欢的是： 1. 存储 - 三星，SK海力士，$SNDK，$MU，$SIMO 2. 光子学 - $LITE，$COHR，$AAOI，$AXTI，（可能还有Yamamura，但程度稍弱）。 3. 电力/电网 - $XLU。 4. 先进封装资本支出 - $AMKR，$ONTO，$CAMT，$KLIC，和 $FORM。 除了可能 $KLIC 之外，我之前都讨论过这些。 但其中大多数如果不是全部，都在短时间内上涨了50-100%+，这放大了整体交易回报。 今年我学到的最好一课是轮动到资金流向和当前瓶颈处。而不是试图在网络安全等板块进行逆势反转交易。 我也免费发布所有我的观点，希望人们能从中吸取一两点教训！
原推 ↗英文原文
Last year I shared my 1 year return: 630.44% before I even joined X. Lot of conspiracy theorists out there. But I do happen to be a decent discretionary trader. Large part of it was > front-running halving > buying $RKLB in the 10’s > buying $HOOD in the 10’s > catalyst trading Presidential nominations > riding multiple waves up. Majority of people don’t rotate and sit on a single stock the entire time. The trick is to ride every wave up and if earnings start to slow/stop, move on to the next and don’t get too attached to a stock. It’s the same thing with this year, just different sectors and catalysts.
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分享412%收益来源，推荐存储、光子等瓶颈板块，强调顺势轮动。
年初至今：412.72% 其中很大一部分归功于选对了板块，从 Jane Street 算法的每周波动中获利，以及一点运气。 在瓶颈环节的多头持仓方面，目前我最看好： 1. 存储 - 三星、SK 海力士、$SNDK、$MU、$SIMO 2. 光子学 - $LITE、$COHR、$AAOI、$AXTI，（也许还有山形电机，但程度稍弱）。 3. 电力/电网 - $XLU。 4. 先进封装资本支出 - $AMKR、$ONTO、$CAMT、$KLIC 和 $FORM。 除了可能 $KLIC 之外，我之前都讨论过这些标的。 但其中大多数甚至全部在短期内上涨了 50-100%+，这放大了交易的整体回报。 今年我学到的最好一课是：跟随资金流向和当前的瓶颈环节进行轮动。而不是试图在网络安全等板块进行逆势反转操作。 我也免费发布所有我的观点，希望人们能从中吸取一两点经验！
原推 ↗英文原文
Year to Date: 412.72% Lot of it is just picking the right sector, profiting off of Jane Street algos weekly, and a bit of luck. In terms of bottleneck longs, these are currently my favorite: 1. Memory - Samsung, Sk Hynix, $SNDK, $MU, $SIMO 2. Photonics - $LITE, $COHR, $AAOI, $AXTI, (maybe Yamamura too, but not to the same degree). 3. Power/Grid - $XLU. 4. Advanced Packaging Capex - $AMKR, $ONTO, $CAMT, $KLIC, and $FORM. I’ve talked about all of these before aside from maybe $KLIC? But most if not all are up like 50-100%+ in a short timeframe, which amplifies overall returns from trading. Best lesson I’ve learned this year was to rotate where the money flows and current bottlenecks. Rather than attempting contrarian turnaround plays in sectors like cybersecurity. I publish all my ideas for free too so hopefully people can take away a thing or two!
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看好AXTI光子潜力及美股科技巨头，建议做多黄金。
$MU - 最终更看好 SK Hynix，但这是更安全的“美国制造”标的。 $AXTI 还有很长的路要走，需等待1年直到极端短缺出现。可能是光子学(Photonics)板块中回报潜力最大的最爱。 $EWY - Vega扩张的尾声，隐含波动率(IV)可能会将其推高一点。但如果你买入看涨期权(Call)，应是因为 KOSPI 上涨而非博弈 IV。 做多黄金是好的，因为外国正在大量买入并抛售美国国债。不喜欢在当前价位做空比特币(Bitcoin)。 $AMZN、$MSFT、$META 在当前估值下具有吸引力。
原推 ↗英文原文
$MU - ended up liking SK Hynix more but safer made in America play $AXTI long way to go, 1 year wait until extreme shortage hits. Prob my favorite in photonics sector for return potential $EWY - tail end of Vega expansion, IV will likely send it a tad higher. But if you’re buying calls do it because KOSPI goes up not for IV plays. Gold longs are good because foreign countries are buying it up and selling Us treasuries. Don’t like Bitcoin puts at these levels. $AMZN, $MSFT, $META are attractive at these valuations.
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分析AI供应链中关键海外垄断厂商及美国本土瓶颈环节的投资逻辑。
哈哈 https://t.co/8i18XOIKK7 我重点关注的海外股票摘要： 1. 日本帝人博谢(Nitto Boseki) - T-玻璃(T-Glass) 2. 台湾欣兴电子(Unimicron) - 基板/玻璃基板(Substrates/Glass Core) 3. 三星/SK海力士 - 高带宽内存(HBM) 4. 日本铠侠(Kioxia) - 与 $SNDK 合作的 NAND 闪存 5. 台湾南亚科技(Nanya Technologies) - 内存 我通常更偏好做多美国供应链，如 $INTC (晶圆代工)、$MU (内存) 或 $LPTH (锗)，因为它们具备“美国制造”的瓶颈优势及供应链地位。但这些海外公司要么对整个人工智能(AI)基础设施建设至关重要，要么能捕获大量溢出需求。 如果你想知道如何投资海外市场？ - $IBKR 像帝人博谢这样的公司有美国场外交易(OTC)等价物，如 $NBCLF。如果你使用 Robinhood，$EWY / $FLKR 可以提供对韩国大型内存公司的敞口。 像帝人博谢这样的公司接近垄断，因此这是我特意去投资的极少数海外公司。
原推 ↗英文原文
lol https://t.co/8i18XOIKK7
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反驳美光IV定价，指出韩国ETF因波动率扩张受益。
@diyinvestguy 不，美光科技($MU)的隐含波动率(IV)定价是正确的。我唯一的论点是韩国交易所ETF($EWY)的隐含波动率存在偏差，并且随着韩国指数从记忆中回升，其隐含波动率扩张(Vega expansion)会带来收益。
原推 ↗英文原文
@diyinvestguy No Micron’s IV is priced correctly. My only argument was $EWY IV is off and benefits from Vega expansion over time as Korean index goes up from memory
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AI存储周期致$EWY隐含波动率被低估，存在结构性错配机会。
71%的隐含波动率(IV) $MU（1周期限）。 对比 40%的隐含波动率(IV) $EWY（同日）。 只是抛砖引玉……2028年价外(OTM)的LEAPS期权受益于这种百年一遇的隐含波动率错配。 这是由AI存储超级周期带来的结构性转变。 尤其是当做市商(MMs)参考韩国过去10年走势平坦的历史数据时。
原推 ↗英文原文
71% IV $MU (1 week) volatility. vs. 40% IV $EWY (same day) volatility. Just putting it out there… 2028 OTM leaps benefit from once a generation IV volatility mispricing. This is a structural shift from AI memory supercycle. Especially when MMs are looking at historical 10 year flat periods for Korea.
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$EWY期权IV被低估，杠杆衍生品将推高波动率，看涨期权或受益。
$EWY 看起来即将变得更加波动。 做市商可能没有正确地将跳跃期权隐含波动率(IV)定价，因为 IV 可能会扩张至 55% 以上。 有两个原因源于未实现（但即将到来）的波动性。 - 10 倍杠杆的三星/SK 海力士通过去中心化金融(DeFi) 已经出现，因为它们开始产能爬坡。 如果规模变得很大，这会在期货（如 $EWY）的清算和对冲上产生大量的未实现波动性。 $EWY 由一半的 SK 海力士/三星组成，而韩国指数本身已经非常波动。 - 三星和 SK 海力士的 2 倍杠杆单只股票 ETF 即将到来 2026 年 1 月，韩国监管机构正式宣布允许国内 2 倍杠杆单只股票 ETF。 同样，这增加了未实现的波动性。 但就目前的期权 IV 定价而言，$EWY 的波动幅度相当极端。 如果非要打个比方，它的百分比波动范围肯定大于 $MRVL（IV 为 55-56%，而 $EWY 仍为 41%）。 三星的对应物可能是 $MU（约 70%），SK 海力士更接近 $SNDK（91%），但可能在 70-80% 范围内。 而且……韩国指数基本上就是 SK 海力士和三星。 随着三星/SK 海力士开始从存储超级周期中重新评级，这种波动性可能会成为新常态。但做市商可能仍然在使用广义自回归条件异方差(GARCH) 模型或基于长期平均值（当时指数完全平坦）的波动率预测投影。 来自 10 倍杠杆衍生品的数量将仅仅为这些个股的对手方和做市商创造更多的对冲/波动性 -> 这会滞后地反映在 $EWY 的定价中。 简而言之：随着做市商未能正确定价 IV 和未实现波动性，$EWY 看涨期权可能会从 Vega 扩张中受益。
原推 ↗英文原文
$EWY looks like it's about to get more volatile. Market makers might not be pricing in leap option IV correctly as IV may expand past 55%. Two reasons due to unrealized (but upcoming) volatility. - 10X leveraged Samsung / Sk Hynix through Defi are here as they begin ramp-up. This creates a great amount of unrealized volatility from liquidations and hedging on futures like $EWY if this ends up becoming large. $EWY is half Sk Hynix / Samsung, and the South Korean index is already really volatile. - 2x leveraged single-stock ETFs for Samsung and SK Hynix are coming In January 2026, South Korean regulators officially announced they will permit domestic 2x leveraged single-stock ETFs. Again, this just adds to unrealized volatility. But as it stands right now regarding option IV pricing. $EWY moves pretty extreme amounts. If I had to give a comparison, it definitely moves in greater % ranges than $MRVL, which sits at 55-56% IV (while $EWY is 41% still). Samsung's equivalent is probably $MU (70%-ish), Sk Hynix is closer to $SNDK (91%) but likely in 70-80% range. And... South Korea's index is basically just Sk Hynix and Samsung. This volatility would likely be the new norm as Samsung/SK Hynix begin their re-rating from the memory supercycle. But MMs are still probably using garchr models or volatility forecasting projections against long-term averages (where index was completely flat) And the amount of leveraged derivatives from 10x will just create more hedging/volatility on these individual stocks from counterparties and market makers -> that gets priced in late to $EWY. TLDR: $EWY calls likely benefit from vega expansion as MMs aren't pricing in IV and unrealized volatility correctly.
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买入$SIMO，看好其NAND控制器双寡头地位及AI存储市场扩张。
$SIMO 作为 NAND 敞口是另一个我今天建仓的交易思路。 SIMO 在 merchant controllers（独立控制器）领域与 Phison 形成事实上的双寡头垄断，主要客户包括： - Samsung - SK Hynix - $MU - $WDC - Kioxia - YMTC 等。 - 营收：2025年Q4达到2.785亿美元（同比+46%，环比+15%）。 - 毛利率：~49.2% - 净利润：~4770万美元（同比+107%）。 - 净现金：2.771亿美元，无债务。 但管理层宣布2026年将是公司历史上营收最高的一年。 他们指引2026年Q1营收在2.92亿-3.06亿美元之间，该季度同比增长率为+76%-84%。 他们也开始向一家“领先的AI GPU制造商”（可能是 $NVDA）出货企业级启动盘，这扩大了其 TAM（总可服务市场）。 随着内存制造商转向 HBM，他们基本上将部分 SSD 控制器领域（如移动/消费级）外包，因此现在相当一部分独家来自 Silicon Motion。 因此，你拥有一家盈利、无债、毛利率约50%的公司，从 NAND 体积需求中获利，同时将其 TAM 扩展到高毛利的 Nvidia 和 AI 企业存储管道。 虽然它并不直接从所有 NAND 涨价中获利（但可以自行提价），但这感觉像是内存领域一个相当不对称的顺风/后门玩法。 在45.6亿美元市值和低于20倍远期市盈率（假设12亿美元营收/6.5美元每股收益）下，入场稍晚。但鉴于 TAM 扩展和内存超级周期，上行空间似乎很有吸引力。
原推 ↗英文原文
$SIMO for NAND exposure is another trade idea that I took positions in today. SIMO operates effectively as a duopoly (alongside Phison) for merchant controllers and supplies basically: - Samsung - SK Hynix - $MU - $WDC - Kioxia - YMTC, and others. - Revenue: Q4 2025 reached $278.5 million (+46% yoy and +15% qoq). - Gross Margins: ~49.2% - Net Income: ~$47.7 million (up 107% YoY). - Net Cash: $277.1 million, no debt. But, management announced 2026 will be the highest revenue year in the company’s history. They guided Q1 2026 revenue to between $292m-$306m, which is +76%-84% YoY growth rate for the quarter. They also started shipments to a "Leading AI GPU maker" likely $NVDA for enterprise boot drives, which is TAM expansion. Memory makers basically outsourcing parts of the SSD controller spaces (eg. mobile/consumer) as they shift to HBM so now quite a bit is sourced exclusively from Silicon Motion. So you have a profitable, debt-free company with ~50% gross margins profiting off of NAND volume demand, while expanding its TAM into high-margin Nvidia and AI enterprise storage pipelines. While it doesn't exactly profit from all the NAND hikes (but can do price hikes of its own), it feels like a pretty asymmetrical tailwind/backdoor plays for memory. At a $4.56B MC and under 20x forward earnings (assuming, $1.2B rev/$6.5 EPS), it's a little later to the game. But upside seems compelling given TAM expansion and the memory supercycle.
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OpenClaw代理部署带动树莓派需求，$RPI有望因收入重估而反转。
市场似乎很喜爱 OpenClaw 树莓派囤货潮。 $RPI 昨日上涨 8.1% 后，今日再涨 19.34%。https://t.co/DRQTCjIlmQ （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: 有趣的交易思路：做多 $RPI (Raspberry Pi) 理由：🦞 Openclaw / Picoclaw / Nanobot + 囤货。 大家一直在公开囤积 Apple Mac Mini，并长期持有苹果。但 $APPL 已经是市值 3.7 万亿美元+的公司，产品大规模购买对其影响微乎其微。 然而，树莓派是一家市值 5.4268 亿美元的公司。收入影响显著。 感觉市场尚未定价，因为我在 X 上几乎没看到关于该股票代码的提及（尽管有很多产品提及）。而且最近才开始有人囤积树莓派，因为它们比 500 美元以上的苹果产品便宜得多。它们也有自己的迷你 $NVDA CUDA-light 实用生态系统，人们正在使用。 事实证明，这些极其便宜的 20 美元或 200 美元的设备非常适合大规模部署隔离实例。 原因是为了 OpenClaw 编排（以免搞乱你的设备）-> 通过 API 与中央 LLM 交互。 以前人们只是出于爱好/教育目的购买 1 或 2 台，所以收入增长缓慢。但现在硅谷初创公司和个体据称正在购买数十或数百台这些设备，以运行并行的 OpenClaw 代理群集，或在 Reddit 等其他地方进行代理营销。 而且，不，有很多应用无法通过启动 AWS VPS 完成，所以人们在本地进行（自动化/AI 机器人有服务条款限制，所以公司设置自己的服务器）。 话虽如此，主要下行风险是： - 部分由基金会拥有，即使需求极度旺盛，他们可能也不会像 $SNDK 或 $MU 那样大幅提价 - 受 LPDDR4 组件等内存价格上涨影响 所以这不是一个主要仓位。 然而，展望未来，由于人们购买数十或数百台这些设备来运行 AI 代理，收入应该会增加。 资产负债表看起来也很干净，下行风险低： - 收入约 2.8 亿 - 3 亿美元 - 毛利润约 7500 万美元+ - 毛利率约 25% - 净利润：约 1000 万 - 1500 万美元 - 净现金：2800 万美元 分析师目前预测收入增长接近 14-17%。但如果需求涌入持续，如果囤货继续，我们可能会看到收入数字从 14% 的增长增加到适度的 48-55%。 消费者板块约占收入的 1/3，但 Openclaw + 变体的新购买无论如何都是重新评级的新催化剂。 特别是现在 Picoclaw 和压缩版 OpenClaw 变体能够在 20 美元的树莓派上运行，而不仅仅是树莓派 5。 但似乎人们忘记了树莓派也是一只公开交易的股票。股价 1 年下跌 56%，市值 5.4268 亿欧元跌至历史新低。所以这可能是反转的顺风。 此外，OpenClaw 成为基于树莓派的代理部署的长期催化剂的可能性也不为零。 TLDR：人们公开购买树莓派和苹果 Mac Mini 用于 Openclaw/Picoclaw，因此收入应从需求增加中受益。
原推 ↗英文原文
Markets seem to love the OpenClaw Raspberry Pi hoarding. $RPI up another 19.34%, from yesterday's 8.1%. https://t.co/DRQTCjIlmQ
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看好$RPI，因AI智能体部署引发硬件囤货潮，营收有望超预期增长。
有趣的交易思路：做多 $RPI (树莓派) 理由：🦞 Openclaw / Picoclaw / Nanobot + 囤货潮。 大家都在公开囤积 Apple Mac Mini，并长期持有苹果股票。 但 $APPL 已经是市值 3.7 万亿美元以上的巨头。产品的大规模抢购对其影响微乎其微。 然而，$RPI 是一家市值仅 5.4268 亿美元的公司。 营收影响是实质性的。 感觉市场尚未对此定价，因为我在 X 上几乎没看到关于该股票代码的提及（尽管产品提及很多）。 而且最近才开始出现树莓派的囤货潮，因为它们比 500 美元以上的苹果产品便宜得多。它们还拥有人们使用的迷你 $NVDA CUDA 轻量级实用生态系统。 事实证明，这些极其便宜的 20 美元或 200 美元的设备非常适合大规模部署隔离实例。 原因是为了 OpenClaw 编排（以免搞乱你的设备）-> 通过 API 与中央 LLM 接口。 以前人们只是为了爱好/教育目的购买 1 或 2 台，所以营收增长缓慢。 但现在硅谷初创公司和个体据称正在购买数十或数百台这些设备，以运行并行的 OpenClaw 智能体集群，或在 Reddit 等其他地方进行智能体营销。 而且，不，有很多应用无法通过启动 AWS VPS 来完成，所以人们选择本地运行（自动化/AI 机器人存在服务条款限制，因此公司搭建自己的服务器）。 话虽如此，主要下行风险是： - 部分由基金会拥有，即使需求极度旺盛，他们可能也不会像 $SNDK 或 $MU 那样大幅提价 - 受 LPDDR4 组件等内存价格上涨的影响 所以这不是一个重仓头寸。 然而，展望未来，由于人们购买数十或数百台这些设备来运行 AI 智能体，营收应该会增加。 资产负债表看起来也很干净，下行风险低： - 营收约 2.8 亿 - 3 亿美元 - 毛利润约 7500 万美元+ - 毛利率约 25% - 净利润：约 1000 万 - 1500 万美元 - 净现金：2800 万美元 分析师目前预测营收增长接近 14-17%。 但如果需求涌入持续，如果囤货潮继续，我们可能会看到营收数字从 14% 的增长增加到适度的 48-55%。 消费板块约占营收的 1/3，但 Openclaw 及其变体带来的新购买潮仍然是重新评级的新催化剂。 特别是现在 Picoclaw 和压缩版 OpenClaw 变体已经能够在 20 美元的树莓派上运行，而不仅仅是树莓派 5。 但似乎人们忘记了树莓派也是一只公开交易的股票。 股价一年下跌 56%，市值 5.4268 亿欧元跌至历史新低。 这可能是反转的顺风。 OpenClaw 成为基于树莓派的智能体部署的长期催化剂的可能性也不为零。 TLDR：人们正在公开购买树莓派和 Apple Mac Mini 用于 Openclaw/Picoclaw，因此营收应从需求增加中受益。
原推 ↗英文原文
Fun Trade Idea: Long $RPI (Raspberry Pi) Reason: 🦞 Openclaw / Picoclaw / Nanobot + Hoarding. Everyone has been openly hoarding Apple Mac Minis and were long Apple. But $APPL is already a $3.7T+ company. Product mass-buying won't make a dent. Raspberry Pi, however, is a 542.68M company. The revenue is material. Feels like markets haven't priced this in since I've seen almost 0 mentions about the ticker on X (but many product mentions). And it's only recently that have the hoarding started Raspberry Pis, as they're much cheaper than $500+ Apple products. They also have their mini $NVDA CUDA-light utility ecosystem that people use. So it turns out these extremely cheap $20 or $200 devices are perfect for deploying mass deploying isolated instances. The reason is for OpenClaw orchestration (so they don’t mess up your device) -> interfacing with a central LLM via API. Before people were just buying 1 or 2 for hobby/education purposes, so revenue has slowing. But now Silicon Valley startups and individuals anecdotally appear to be buying tens or hundreds of these things to run concurrent OpenClaw agentic swarms or do stuff like agentic marketing on Reddit and other places. And no, there are many applications that can't be done by spinning up AWS VPS, so people do it locally (there's TOS around automation/AI bots, so companies setup their own servers). That being said main downside risk is that its - partially foundation owned, and they might not hike rates like $SNDK or $MU does, even if there's extreme demand - Subject to memory price hikes like LPDDR4 component so this is not a major position. However, going forward, revenue should increase due to people buying tens or hundreds of these things for running AI agents. Balance sheet also looks clean with low downside risk: - ~$280M - $300M revenue - ~$75M+ Gross Profit - ~25% Gross Margin - Net income: ~$10M - $15M - Net Cash: $28M Analysts currently project revenue growth closer to 14–17%. But if the demand influx continues, we might see revenue numbers might hit increase from 14% growth to a modest 48-55% if hoarding continues. Consumer segments are roughly 1/3rd of revenue but the newfound buying from Openclaw + variants is a new cataylst nevertheless for re-rating. Especially now that Picoclaw and compressed OpenClaw variants are now able to be run on $20 Raspberry Pis instead of just the Raspberry Pi 5’s. But seems like people just forgot Raspberry PI was a publicly stock as well. The stock price is down 56% 1Y to 542.68M euro MC to an all time low. So this might be that tailwind for a reversal. There's also a non-zero chance OpenClaw is a long term catalyst for Raspberry Pi based, agentic deployments. TLDR: People are openly buying Raspberry Pis and Apple Mac Minis for Openclaw/Picoclaw, so revenue should benefit from increased demand.
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群联CEO驳斥中国存储倾销论，看好AI存储结构性需求。
群联电子(Phison) CEO 采访中的一个有趣评论。针对中国存储厂商（长江存储 YMTC 和长鑫存储 CXMT）将倾销市场的谣言，CEO 潘汉德表示：“说这话的人是在说梦话”。$SNDK、$MU 以及存储板块似乎看不到供应短缺的迹象。AI 对存储的需求看起来是结构性的且呈指数级增长。
原推 ↗英文原文
Interesting comment from Phison's CEO interview was this. When addressing the rumor that Chinese memory makers (YMTC and CXMT) will flood the market: Pua says: "The people saying that are talking in their sleep/dreaming". $SNDK, $MU, and the memory trade appear to have no shortage in sight. The memory demand for AI looks structural and exponentially growing.
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建议通过投资AI股票及关注BOM支出（存储、光子学）来对冲失业风险。
看到人们因人工智能(AI)替代而失业，确实令人难过。现在人们唯一能做的就是顺势而为，否则就会被抛下。 对此最大的对冲手段是投资AI股票，并关注物料清单(BOM)支出。 最大的是存储芯片，如 $MU 或 $SNDK。从 $LITE 到 $AAOI 的光子学(Photonics)组件在BOM中也占据相当比重。
原推 ↗英文原文
Yeah pretty sad to see people get laid off from AI displacement. So only thing people can do now is ride the wave or get left behind. Biggest hedge against this is AI equities and looking into BOM spend. Biggest is memory like $MU or $SNDK. Photonics from $LITE to $AAOI command a decent amount of BOM.
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存储需求结构性短缺，推理瓶颈在存储，中国产能无外溢。
群联电子(Phison) CEO关于存储与投资框架的访谈摘要： “收过路费者”（Toll Collectors）： - 美光(Micron) ($MU) - SK海力士(000660.KS) - 三星电子 - 西部数据(Western Digital) ($WDC) - $SNDK T2层级： - $MRVL - $SIMO - 群联电子(Phison Electronics) 随着AI向边缘端迁移，设计连接存储与计算逻辑/软件控制器的公司将捕获巨大价值。 T3层级： - 纯存储(Pure Storage) ($PSTG) - NetApp ($NTAP) - 希捷(Seagate) ($STX) 随着Vera Rubin推理服务器推出，键值缓存(KV Cache)和数据生成的爆发将触发针对数据中心存储密度和高容量企业级固态硬盘(Enterprise SSDs)的硬件升级周期。 有趣的是：$EBAY（翻新电子产品）可能成为受益者。 - 做空/规避低毛利消费硬件。 - 做空/规避未对冲的汽车/IoT制造商。 主要Alpha观点： - “三年预付”现金流：存储晶圆厂要求3年现金预付款以保障供应。 - 推理瓶颈在于存储而非GPU：单批次1000万台$NVDA Vera Rubin平台需每台20+TB SSD，仅此项就将消耗去年全球NAND产能的20%。 - “中国供应过剩”看空论调已死： Pan完全驳斥了关于长江存储(YMTC)和长鑫存储(CXMT)的观点。中国内部AI需求巨大，将瞬间消化100%国内产量。不会有廉价中国存储流入全球市场来拯救西方硬件OEM。 访谈TLDR： 存储需求是结构性的。供应端无结束迹象。$INTC CEO上月已确认此点。
原推 ↗英文原文
TLDR of Phison CEO interview on Memory and Investment Framework: "Toll Collectors": - Micron ( $MU ) - SK Hynix (000660.KS) - Samsung Electronics, - Western Digital ( $WDC ) - $SNDK. T2: - $MRVL - $SIMO - Phison Electronics Companies that design the logic/software controllers connecting memory to compute will capture massive value as AI moves to the edge. T3: - Pure Storage ( $PSTG ) - NetApp ( $NTAP ) - Seagate ( $STX) As Vera Rubin inference servers roll out, the explosion in KV Cache and data generation will trigger a massive hardware upgrade cycle specifically focused on data center storage density and high-capacity Enterprise SSDs. Hilariously: $EBAY (refurbished electronics), might be a beneficiary. - Short / Avoid Low-Margin Consumer Hardware. - Short / Avoid Unhedged Auto/IoT Makers Main alpha points: - The "3-Year Prepayment" Cash Flow. Memory foundries are demanding 3 years of cash prepayments to guarantee supply. - The Inference Bottleneck is Storage, Not GPUs. A single 10-million-unit run of $NVDA Vera Rubin platform requires 20+TB of SSD per unit, which alone would consume 20% of last year's global NAND capacity. - The "Chinese Supply Glut" Bear Thesis is Dead: Pan entirely dismisses this point around YMTC and CXMT. China’s internal AI demand is so massive that it will instantly swallow 100% of its domestic production. No cheap Chinese memory will leak into the global market to rescue western hardware OEMs. TLDR from the interview: Memory demand is structural. No supply end in sight. $INTC CEO confirmed this last month.
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MU营收预测低于五大巨头，若计入存储涨价可能上调。
@KAnalyser1 是的。不过 $MU 的预测值稍低一些。 $108亿（2025年）-> $465亿（2026年）-> ~$635亿（2027年）是一些估算值。当然，如果你将 NAND/DRAM 价格涨幅纳入模型，这些数字可能会更高，但它们通常低于上述五大巨头。
原推 ↗英文原文
@KAnalyser1 Yes. $MU projections are a bit lower though. $10.8B (2025) -> $46.5B (2026) -> ~$63.5B (2027) were some estimates. Of course if you model in NAND/DRAM price increases those numbers might go up more, but they’re generally less than the big 5 above
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微软AI需求推高存储波动预期，远期隐含波动率或存在定价偏差。
我的假设是MMS使用了GARCH模型或基于长期平均值的波动率预测。韩国指数在过去10-20年间处于区间震荡。如果回顾往年，模型通常假设波动率在2年内会均值回归。但如果我们看微软对三星/SK海力士陡峭的营业利润预测，加上$MU/$SNDK等存储芯片固有的波动性，看涨期权将从波动率扩张中受益。因此，在我看来，远期隐含波动率存在定价偏差。
原推 ↗英文原文
My assumption is MMS used garchr models or volatility forecasting projections against long-term averages. Korean indexes were range bound for 10-20 years. If it looks at previous years, models typically assume volatility might re-revert to mean in 2 years. But if we look at MS's steep operating income projections on Samsung/Sk Hynix + inherent volatility with memory like $MU / $SNDK, it looks calls will benefit from vega expsnion. So further out IV looks to be mispriced from my view.
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供应链瓶颈等权重组合周涨12.83%，全红表现惊人。
基于供应链映射的“瓶颈ETF”。 没有一只股票是红色的（下跌）。 等权重组合1周收益：+12.83%。 名单： $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% 我觉得机构是不是直接把上周框架里的这份名单全买了？ 这种表现水平简直太疯狂了。
原推 ↗英文原文
The "Bottleneck ETF" from supply chain mapping. Not a single name red. Equal weighted results 1W: +12.83%. List: $LITE: +31.68% $AMKR: +28.7% Disco: +24.35% $GLW: +23.57% $COHR: +23.5% $ONTO: +18.4% $CAMT: +17.7% $TSM: +15.8% $ON: +15.8% Samsung: +15.4% $KLAC: +12.7% $APH: +11.6% $MRVL: +11.4% $MU: +10.6% $MOD: +10.6% Sk Hynix: +10.31% $VICR: +9.6% $AVGO: +9.46% $SBGSY: +9.27% $ETN: +9.1% $BESIY: +8.53% $IFNNY: +7.37% $MPWR: +6.85% $SNDK: +6.4% $QLCM: +6.12% $AMD: +6.01% Mediatek: +6% Kioxia: +3.68% $INTC: +1.62% I feel like institutions just bought this entire list from last week's framework? This level of performance is pretty crazy.
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建议散户简化策略，聚焦核心标的如台积电，而非追踪复杂上游瓶颈。
对于绝大多数散户而言： 如果你想搭乘当前资本支出(capex)趋势的快车，我认为以下这些是必须持有的标的： 1. 存储(Memory) - $MU, 三星, 海力士, $SNDK 2. 光子学(Photonics) - $LITE, $COHR 3. CoWoS/晶圆代工(Foundry)/先进封装(Advanced Packaging) - $AMKR, $TSM, $INTC 随着向产业链上游深入，存在许多细微的瓶颈环节，例如我常提到的： 光子学的基板/原料层面的 $AXTI，共封装光学(CPO)中ELS领域的利基玩家如 $AAOI，良率相关的 $TER 或 $AEHR，硅光(SiPh)领域的 $TSEM。甚至是数据中心中从日月光(unimicron)到其他厂商的基板铜用量。 我的观点是，对于绝大多数(99%)的人来说，你可以选择“简单模式”生活，无需追踪 X 上的每日更新或 $AMKR 的资本支出流向。 只需关闭大脑中关于供应链映射/更新的部分，坚持持有像 $TSM 这样处于核心地位的标的，有时是更好的选择。 它很可能也会跑赢大部分上游玩家。
原推 ↗英文原文
For the vast majority of retail: If you want to ride the capex trends happening right now, these are probably must have imo: 1. Memory - $MU, Samsung, Sk Hynix, $SNDK 2. Photonics - $LITE, $COHR 3. CoWoS/Foundry/Advanced Packaging - $AMKR, $TSM, $INTC There's a lot of nuanced bottlenecks as you go upstream I talk about like : $AXTI in the substrate/feedstock level for photonics, random niche players like $AAOI for ELS in CPO. $TER or $AEHR for yields, or $TSEM for SiPh. Or even copper usage in DCs to substrates from unimicron to others. My opinion is that for the vast 99% of people, you can live life on easy mode without tracking day-to-day updates on X or where the capex spend from $AMKR goes. Just turning your brain off from all the supply chain mapping / updates, then just sticking with things like $TSM which is the center of it all is sometimes the better thing to do. It probably outperforms a large percentage of the upstream players as well.
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AXTI因铟价飙升及垂直整合优势，有望成光子学核心瓶颈并重估。
$AXTI - 7N高纯度铟价格突破1000美元，且过去三个月呈抛物线式上涨。 这是价格上涨的衍生反映。 有两个细微差别： 1. 这是当地上海金属市场(SMM)的定价（中国控制着70%以上的供应链）。 从$GOOGL到META的超大规模云服务商可能正在为此支付高额溢价（转嫁给$LITE或其他公司）。 2. 这是磷化铟(InP)衬底的原料。 InP衬底 = $AXTI 和住友电工(Sumitomo)。 原料 = $AXTI 和 Vital。 前驱体价格上涨会损害住友电工的底线 -> $LITE / $COHR -> 下游。 但AXT作为两个不同层面的瓶颈，在原料/精炼层面实现垂直整合，因此两次受益。 正如$GOOGL的财报所示，随着其1800多亿美元的资本支出，光子学的建设即将呈抛物线式增长。而且就在现在。 我对$AXTI的论点是 -> 像内存公司（如$SNDK、$MU、SK海力士）一样涨价，并作为光子学建设的核心瓶颈获得重估。 不再是三大巨头，而是两家（AXT/住友）。随着日本面临出口管制带来的上游材料问题，最终可能只剩一家。 与内存产品相比，价格上涨的可见度较低。 但我们可以在SMM上的7N铟等衍生品中看到这种潜在反映。
原推 ↗英文原文
$AXTI - 7N high purity Indium hit over $1K+ USD and has increased parabolically over the last three months. This is a derivative reflection of price hikes. There's two nuances: 1. This is local SMM pricing (China controls 70%+ of the supply chain). Hyperscalers from $GOOGL to META are probably paying large premiums for this (to pass to $LITE or others). 2. This is feedstock to InP substrates. InP substrates = $AXTI and Sumitomo. Feedstock = $AXTI and Vital. Increases in precursor prices hurts the bottom line of Sumitomo -> $LITE / $COHR -> downstream. But AXT benefits both times as a bottleneck of two different layers, since they are vertically integrated at the feedstock/refinery level. As seen with $GOOGL's earnings, the buildout for photonics is about to grow parabolically with their $180B+ capex spend. And now. My thesis with $AXTI is -> price hikes like memory companies (eg. $SNDK, $MU, SK Hynix) and get re-rated as the central chokepoint for photonics buildout. Instead of the big three, you have 2 (AXT/Sumitomo). Possibly 1 in due time, as Japan faces issues with upstream materials from export controls. There's less visibility over price hikes compared to memory products. But we can see this potentially reflected in derviatve like 7N indium on SMM.
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AXTI具垄断瓶颈地位，若提价将获估值重估。
@platochi @soulbiri1 我完全不知道 $AXTI 会如何发展。他们处于近乎垄断的瓶颈位置，所以如果他们愿意，可以像 $SNDK 和 $MU 那样大幅提价——从而获得巨大的估值重估。这主要取决于他们是否会这样做。
原推 ↗英文原文
@platochi @soulbiri1 I have zero clue how $AXTI plays out. They’re a near-monopoly choke point so if they wanted to they can hike prices like $SNDK and $MU -> be rerated massively. It’s mainly a matter if they’re going to do it or not.
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日本7.2万亿刺激计划利好AI半导体，MU获补贴建厂。
是的，最大的顺风因素是日本股市的支出。不久前提到，刺激计划包括“为AI、半导体和量子技术等17个优先领域提供7.2万亿日元”。$MU正在广岛建设一座价值96亿美元的HBM工厂，但这更多是间接的（例如，他们仍从日本获得33亿美元的补贴）。
原推 ↗英文原文
Yeah biggest tailwind is spend for Japanese stocks. Not too long ago they detailed that the stimulus includes “¥7.2 trillion for 17 priority sectors like AI, semiconductors, and quantum tech.” $MU is setting up a $9.6B HBM plant in Hiroshima but it’s more indirect (eg. They still get $3.3B in subsidies from Japan).
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日韩股市大涨，AI板块因资本支出增加而反弹。
日本日经225指数(Nikkei 225)飙升逾5%，创下历史新高。 韩国KOSPI指数今日也上涨4.2%，其中存储芯片如SK海力士(SK Hynix)上涨5.4%。 市场认为以刺激政策为主的日本政策总体利好，并为从$MU到Advantest的股票增加了流动性。 尽管如此，这一政策具有细微差别：像比特币这样的资产更青睐“印钞机”（货币刺激），而非政府支出的财政刺激，因为后者可能导致债券收益率飙升。 我们开始看到由资本支出(capex)增加引发的特定板块（尤其是AI交易）反弹，而其他板块则处于熊市。
原推 ↗英文原文
Japan’s Nikkei 225 skyrockets over 5% to hit record high. Korea’s KOSPI is also up 4.2% today with memory like SK Hynix up 5.4%. A stimulus heavy Japan was seen as net positive and increases liquidity for stocks from $MU to Advantest. Despite this, this policy is nuanced as assets like Bitcoin love the money printer (monetary stimulus) vs. fiscal stimulus (government spend), when there’s a potential spike in bond yields. We’re starting to see sector specific rallies (especially the AI trade) from increased capex spend, but a bear market in others.
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展示含杠杆的AI与加密多头组合，强调风险管理避免全仓小盘股。
组合权重是我被问得最多的问题。 以下是我的投资组合构成： 35% 存储超级周期 _ 10% 三星电子 10% 海力士 10% $MU 5% $SNDK 25% 数字资产敞口 _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% 金融科技/广告 5% $RDDT 5% $ETOR 5% $TTD 15% 数据中心 - 10% $NBIS 5% $CRDO 10% 半导体 _ 5% $INTC 5% $TSM 10% 光子学 5% $LITE 2.5% $AXTI 2.5% $COHR 5% 对冲/现金 5% 对冲（例如 $VIX 或 $QQQ 看跌期权，尤其是现在） 10% 小盘股“登月”标的 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH 这使用了轻微杠杆，例如 1.25 倍。 额外杠杆（最高 1.5 倍）： - 波段交易（例如 $GLXY） 我的投资组合看起来与此大致相似，但包含更多随机名称如 $AEHR 或 欣兴电子，且权重不同。 这是做多半导体 + AI 超级周期，并在加密货币中进行复苏交易。如果（谷歌、Meta、微软）削减支出，这将造成打击，但他们刚刚增加了资本支出。 但这只是展示我如何进行风险管理，全仓押注像 $POET 这样的小盘股是非常危险的。
原推 ↗英文原文
Portfolio weightings is my most common question. Here’s what my portfolio looks like: 35% Memory Supercycle _ 10% Samsung Electronics 10% Sk Hynix 10% $MU 5% $SNDK 25% Digital Asset exposure _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% Fintech/Advertising 5% $RDDT 5% $ETOR 5% $TTD 15% Datacenter - 10% $NBIS 5% $CRDO 10% Semi _ 5% $INTC 5% $TSM 10% Photonics 5% $LITE 2.5% $AXTI 2.5% $COHR 5% Hedge/Cash 5% Hedge (Eg. $VIX or $QQQ Puts, especially around now) 10% Small Cap Moonshots 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH This is using slight margin, eg 1.25x. Additional Margin (up to 1.5x): - Swing Trades (eg. $GLXY) My portfolio looks vaguely similar to this, but with more random names like $AEHR or Unimicron and different weightings. This is long semi + AI supercycle, with a recovery trade in Crypto. If (Google, Meta, MSFT) cut spending this would hurt, but they just increased capex spend. But this is just showing how I do risk management, it’s very risky to full send it into micro caps like $POET.
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梳理AI半导体供应链瓶颈，看好存储、光子及台积电，指出中游为定价关键。
以下是我对 Semivision 瓶颈总结的 TLDR（太长不看版）及其映射到投资框架的内容： HBM（高带宽内存）： HBM4 (16Hi) - 三星，SK 海力士，$MU HBF（高带宽闪存）- $SNDK，Kioxia Base Die（基础晶圆）- $TSM，三星（内部） CPO（共封装光学）/光子学： 玻璃基板：$GLW，$INTC，Ibiden 光学：$LITE，$AVGO，$COHR，$MRVL 电力传输： 电压：$MPWR，$VICR 散热：$VRT，$NVT，$MOD 电网：$ETN，$SBGSY SiC/GaN（碳化硅/氮化镓）：$ON，$IFNNY 机架：$APH N2 产能： $TSM，$AMD（数据中心先行者），$QLCM，联发科，$NVDA 先进封装： 良率：$CAMT，$ONTO，$KLAC OSATs（外包半导体组装与测试）：$AMKR $BESIY，Disco Semivision 的总结： 1. “先进封装产能与良率控制” 2. “HBM 生态系统协调” 3. “电力传输创新（SiC、GaN PMICs、机架级电源架构）” 4. “CPO/光子学集成能力” 5. “数据中心基础设施作为半导体收入实现的‘隐性限制因素’” 正如你可能知道的，我对上述的存储/光子学领域（如 SK 海力士/三星，$SNDK，$MU，$LITE）以及 $TSM 最为看好。 我可能会稍微向上游延伸，比如 $AXTI（磷化铟前驱体），但中游玩家是瓶颈所在，并掌控大部分定价权。 但为了简化普通散户投资者的理解，我添加了相关公司的评论。
原推 ↗英文原文
Here's my TLDR + mapped into investment framework from Semivision bottleneck summary: HBM: HBM4 (16Hi) - Samsung, Sk Hynix, $MU HBF - $SNDK, Kioxia Base Die - $TSM, Samsung (internal) CPO/photonics; Glass Substrate: $GLW, $INTC, Ibiden Optical: $LITE, $AVGO, $COHR, $MRVL Power Delivery: Volatage: $MPWR, $VICR Thermal: $VRT, $NVT, $MOD Grid: $ETN, $SBGSY SiC/GaN: $ON, $IFNNY Rack: $APH N2 Volume: $TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA Advanced Packaging: Yield: $CAMT, $ONTO, $KLAC OSATs: $AMKR $BESIY, Disco Semivision's summary: 1. "advanced packaging capacity and yield control" 2. "HBM ecosystem coordination" 3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)" 4. "CPO/photonics integration capability" 5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization" As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM. I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing. But just added commentary of related companies to topics to make things simpler for the regular retail investor.
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加密资产大幅回调后机构正在买入，建议等待波动结束并顺势反弹。
我一直参与内存/AI交易，比如 $MU、$SNDK。但像这样的机会并不常见。 所有加密货币相关标的都已重置： 比特币 - 从 $125k 跌至 $70K 以太坊 - 从 $4k 跌至 $2.05K Solana - 从 $233 跌至 $88 $COIN 从 $415 跌至 $162 $CRCL 从 $240 跌至 $56 $GLXY 从 $40 跌至 $19 $ETOR 从 $68 跌至 $26 $MSTR 从 $434 跌至 $132 如果人们认为比特币会回到 $30K，我不知道该说什么。我亲眼看到的每家机构在清算清洗后都在现在买入。 等待波动性过去并顺势反弹很容易。
原推 ↗英文原文
I've been in the memory/AI trade like $MU, $SNDK. But opportunities like this don't come often. Every crypto name has been reset: Bitcoin - $70K from $125k Ethereum - $2.05K from $4k Solana - $88 from $233 $COIN $162 from $415 $CRCL $56 from $240 $GLXY $19 from $40 $ETOR $26 from $68 $MSTR $132 from $434 If people think Bitcoin is going back to $30K idk what to tell you, every institution I've seen personally is buying now after the liquidation wipeout. Easy to wait out volatility and ride the wave back up.
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谷歌巨额资本支出加速AI基建，利好相关供应链。
$GOOGL 公布了财报，其资本支出(CapEX)规模巨大。 1750亿-1850亿美元 vs. 1200亿美元。 这对AI基础设施建设是利好。 跟随资金流向下游： - $AVGO、联发科、$TSM（设计/晶圆代工） - SK海力士、三星、$MU、$SNDK（存储） - $ANET、$LITE、$COHR、$VRT（网络、光子学、能源） 等等，因为谷歌表示支出主要在于：“包括服务器、数据中心和网络在内的AI基础设施”。 从 $META 到 $GOOGL 的超大规模云服务商正在大幅增加资本支出。 这仅仅表明： AI基础设施建设正在加速，并由全球最盈利的公司资助。 做多AI供应链。
原推 ↗英文原文
$GOOGL reported earnings and their CapEX spend was enormous. $175-$185 Billion vs. $120 Billion. This is bullish for AI buildout. Follow the money flow down to: - $AVGO, Mediatek, $TSM (design / foundry) - Sk hynix, Samsung, $MU, $SNDK (memory) - $ANET, $LITE, $COHR, $VRT (network, photonics, energy) etc. as Google said spend was: "primarily on AI infrastructure including servers, data centers and networking" Hyperscalers from $META to $GOOGL are increasing their capex spend enormously. This just goes to show: AI buildout is accelerating and is funded by the most profitable companies in the world. Long AI supply chains.
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午睡醒来目睹半导体板块全线暴跌，感叹市场抛售疯狂。
刚午睡醒来，看到从 $MU 到 $SNDK 全线下跌 15%。 甚至 $CRDO 也跌了 13%，很久没见它跌到 90 美元区间了。 真是疯狂的抛售。 https://t.co/tytlogNw5o
原推 ↗英文原文
Just woke up from a nap to see everything down 15% from $MU to $SNDK. Even $CRDO is down 13%, haven’t seen it in the $90s in forever. What a wild selloff. https://t.co/tytlogNw5o
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看好SNDK高增长潜力，认为其估值低且具历史重演性。
在我看来，估值最低的是SK海力士，增长最快的是$SNDK，最安全的是$MU和三星。 我是$SNDK的忠实粉丝。其固态硬盘(SSD)及后续的混合总线闪存(HBF)让我想起了最初的建设阶段，当时大家都在争相堆叠英伟达GPU。 这种感觉就像既视感(dejavu)。其增长轨迹可能是所有存储股中最高的，我认为他们2026年的远期市盈率(double digit forward p/e)是个位数，但到2027年会降至6.5左右。 财报发布后，其股价创下了历史新低。
原推 ↗英文原文
Imo most undervalued = SK Hynix, fastest growth = $SNDK, safest = $MU, Samsung Big fan of $SNDK. Ssds and later hbf reminds me of initial buildout where everyone was fighting to stack Nvidia GPUs. This feels like dejavu. Growth trajectory is probably the highest out of any memory play, think they’re double digit forward p/e in 2026 but goes down to like 6.5 or so in 2027. It’s cheaper than ever post earnings.
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建议放弃逆向股，重仓三星和SK海力士等AI存储巨头。
老实说，光看这份预估净利润图表…… 让人不禁疑惑，为什么人们还要试图全仓押注像 $PYPL、$FIG 或 $DUOL 这样的逆向反转交易？ 我觉得，坐在像三星或 SK 海力士这样盈利且超增长的公司里“躺平”，才是最容易做的事？ 它们相比“七巨头(Mag7)”规模相对较小，但预计将在 2027 年成为全球最盈利的公司。 有时候，最好的做法就是参与这些显而易见的交易，开启“简单模式”的生活。
原推 ↗英文原文
Honestly just looking at the quoted net income chart… Makes you wonder why people try and full port it into contrarian turnaround plays like $PYPL, $FIG, or $DUOL I feel like sitting back and chilling in profitable, hyper-growth companies like Samsung or SK Hynix is just the easiest thing to do? They’re relatively small compared to Mag7, but projected to become the most profitable companies in the world in 2027. Sometimes the best thing to do is just join in on the no-brainer trades and live life on easy mode.
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英特尔称内存瓶颈将持续至2028，暗示存储股强劲做多信号。
X 上的散户真的需要停止做空 $SNDK 了。 英特尔 CEO 曾毓群刚刚在思科 AI 峰会上表示： “现实是，内存是目前 AI 最大的瓶颈……结构性供应紧张，至少在 2028 年之前都没有缓解迹象。” 英特尔 CEO 谈论 $MU、SK 海力士、三星的瓶颈，并指出 ***两年后*** 才可能缓解，这大概是你最强的做多信号。
原推 ↗英文原文
Retail on X really need to stop shorting $SNDK. Intel CEO Lip-Bu Tan just said at Cisco's AI Summit: "The reality is that memory is the biggest constraint for AI right now... structural supply crunch with no relief until at least 2028". Intel CEO talking about $MU, SK Hynix, Samsung bottleneck that there's no relief until ***2 years later*** is probably your biggest long signal.
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驳斥媒体误导，指出中美存储禁令不影响美光等巨头AI业务。
在《日经亚洲》新文章发布后，围绕 $MU、SK海力士和存储芯片领域出现了大量虚假信息。我预料到会发生这种情况，因为这篇文章写得极差且具有误导性，而存储行业其实非常微妙。这对美光和美光以及SK海力士几乎没有实质性影响。长鑫存储(CXMT)和中微半导体(YMTC)已被美国政府列入黑名单，无法进入中国以外的供应链。这纯属国内事务，文章却写成耸人听闻的抨击之作。例如：“中国两大主要存储制造商将全球供应短缺视为机遇……” YMTC被全面禁止（美国实体清单）——国防部1260H条款名单（中国军事公司）。CXMT也在国防部1260H名单中，属于军事关联名单。美国商务部很可能对该企业实施更多出口管制。最大的影响其实是对南亚+Nanya和旺达+Winbond这类“填补空白”的传统存储公司，这才是文章应聚焦的重点。但文章和那些想寻找逢低买入机会的人为了点击量，通过引入美光等公司散布虚假信息。细微差别在于：美光、SK海力士和三星已基本清除了来自中国的市场需求（例如美光约10%，SK海力士约15-18%），并将DRAM产能转向HBM3e和HBM4。只有三星因其在移动/消费设备领域的份额受到轻微影响。这对超大规模AI存储交易没有任何影响。
原推 ↗英文原文
There's a lot of disinformation around $MU, SK Hynix, and Memory after the new Nikkei Asia piece. Expected this to happen, since this is so badly written and misleading when the memory industry is so nuanced. This has close to 0 material impact on Micron and Sk Hynix. CXMT and YMTC are blacklisted by US government and supply chains outside of China. This is domestic only and is written as a sensational hit piece. eg. "China’s two major memory manufacturers view the global supply shortage as an opportunity..." YMTC is fully banned (US Entity List) - DoD Section 1260H list (Chinese Military Companies) CXMT - DoD Section 1260H list. Military-linked list. The U.S. Commerce Department is likely to slap more export controls on this firm. The biggest impact it would have is on "legacy fill in the void" type companies like Nanya + Winbond, which should have been the focus. But the article and people who want a dip-buying opportunity decided to clickbait/spread disinformation by throwing in Micron and others for views. Naunce is Micron, Sk Hynix, and Samsung have largely hollowed out their demand from China (eg. ~10% micron, ~15-18% Sk hynix), and shifted dram capacity to hbm3e and hbm4. Only Samsung is slightly affected given their share with mobile/consumer devices. There is no effect on the hyperscaler AI memory trade.
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美系大厂转向高利润AI内存，中国厂商冲击有限，主要影响传统DRAM厂。
所以关于内存需求的那个说法是对的，但这并非文中所列公司的关注重点。 它们已基本放弃了YMTC/CXMT试图倾销的市场，转而追求利润率更高的超大规模AI基础设施建设，因此对$MU等公司影响甚微。 如果非要说有影响，那应该是打击像$NANYA和$WIN这样的传统型DRAM公司，这原本才是讨论的重点。 简而言之，$MU、$SKHYNIX和$SAMSUNG已基本清除了来自中国的市场需求（例如$MU约10%，$SKHYNIX约15-18%），并将DRAM晶圆产能转向HBM3e和HBM4。也许只有$SAMSUNG因其在移动/消费设备领域的份额而受到轻微影响。
原推 ↗英文原文
So that memory demand statement is true, but it's not the focus of the companies listed in the article. They've largely left the market YMTC/CXMT is trying to flood to go after the higher margin hyperscaler AI buildout, so little to no effect on companies like MIcron. If anything it would hurt legacy void type companies like Nanya + Winbond, which should have been the focus. Naunce is Micron, Sk Hynix, and Samsung have largely hollowed out their demand from China (eg. ~10% micron, ~15-18% Sk hynix), and shifted dram wafers to hbm3e and hbm4. Maybe only Samsung is slightly affected given their share with mobile/consumer devices.
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看好AXTI作为光子学InP材料瓶颈，预计2026下半年因需求激增出现短缺。
我持有 $AXTI 的多头头寸。 今天我们正目睹 $SNDK、$MU、SK 海力士和三星带来的 HBM/NAND 超级周期，由于需求极度旺盛，价格持续上涨。 下一个是什么？-> 光子学 | 共封装光学(CPO) | 光互连。 需求规模呈现抛物线式增长。（Lightcounting 数据） 我对 AXT 的投资逻辑是：它是从磷化铟(InP)衬底到前驱体供应链的材料瓶颈。而 LightCounting 在过去几个月将需求预测翻了三倍。 这是一个物理/材料问题。 未来，西方供应链可以通过硅光子(SiPh)或 $POET 中介层来减少 InP 衬底/原料的使用。但超大规模云服务商无法绕过这一限制。 目前，中游瓶颈如 $LITE、$COHR、$AVGO 等依赖住友 | JX（日本）等西方供应链。 但这些公司使用的许多前驱体源自中国。在中国最近的出口管制后，日本公司虽有部分产能，但缺乏原料前驱体，他们可能正在消耗库存（约1年，无公开信息）。 但随着超大规模云服务商需求激增，库存将耗尽，使 $AXTI 掌握更多供应链控制权。 我们已经看到 $NVDA 确保了 EML 产能（使用 InP）。CPO CW 激光器、SOA 和其他组件也使用 InP。 “短缺”瓶颈正是 $AXTI 卡脖子的 InP 晶圆产线。 根据预测，我预计超大规模云服务商将在 2026 年开始为 2028 年的扩张储备库存，导致 2026 年下半年供应短缺。 $AXTI 的主要问题在于出口管制 + 60 天行政延迟。中国可能正通过 $AXTI 出牌，迫使美国超大规模云服务商依赖其供应链而非日本。 这在财报前的延迟收入确认中体现为双刃剑。但这些出口管制对住友等竞争对手伤害最大。 即使上游没有看到 100% 的月度涨价，基准情形下 InP 衬底和前驱体需求的增加也将提升 AXT 的营收底线。 AXT 仍是我对 2027 年及以后即将到来的超大规模光子学扩张最看多的材料瓶颈标的。 起初我认为这只是一个短期的风险对冲交易，但在研究了涉及光子学的新数据和架构后，我认为 $AXTI 将是未来 AI 建设的关键参与者。 我的逻辑可能过早，或者这恰恰是拐点。
原推 ↗英文原文
I'm long shares on $AXTI. We're seeing the HBM/NAND supercycle with $SNDK, $MU, Sk Hynix, and Samsung today. With constant price hikes due to extreme demand. The next? -> Photonics | CPO | Optical Interconnects. Demand scale up looks parabolic. (Lightcounting) My thesis was on on AXT was that they're the material bottleneck from InP Substrates to the precursor supply chain. And LightCounting's projections tripled the demand forecast in the past few months. This is a physics/material problem. In the future, Western supply chains can engineer away less InP substrates/feedstock usage with SiPh or $POET interposers. But hyperscalers can't get around it. Currently, midstream bottlenecks like $LITE, $COHR, $AVGO, and others rely on Western supply chains like Sumitomo | JX (Japan). But many precursors that companies these companies originated from China. After China's most recent export controls, the Japanese companies have some production, but without raw precursors, they are likely using inventory (maybe 1 year, there is no public information). But as hyperscaler demand ramps up, the inventory will disappear, leaving more control of the supply chain to $AXTI. We've already see $NVDA secure EML capacity (which uses InP). CPO CW lasers, SOA, and other components also use InP. The "shortage" bottleneck is the same InP wafer lines that $AXTI chokepoints. Judging from the projections, I expect hyperscalers to start securing inventory for the 2028 ramp in 2026, leading to supply shortages H2 2026. $AXTI's main issue is export controls + 60D administrative delays. China is likely playing their hand with $AXTI to force American hyperscalers to become dependent on their supply chain over Japan. This has been a double edged sword as seen with their pre-earnings release with delayed revenue recognition. But these export controls hurt their competitors in Sumitomo the most. Even if we don't see 100% monthly price hikes upstream, the base-case is ramped up demand for InP substrates and precursors increasing AXT's bottom line revenue. AXT remains my most bullish material chokepoint play for the impending hyperscale photonics ramp in 2027 -> onward. Before I expected this to be a short few month play for risk management, but after looking new data and architectures involving photonics, I think $AXTI will likely be a critical player for the AI buildout moving forward. My thesis might be early, or perhaps this may very well be the inflection point.
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存储超级周期盈利强劲，AI需求推动价格结构性上涨。
$SNDK - 即使在上涨16%之后，其2027年的远期市盈率(Forward P/E)仍是个位数。 这就是存储超级周期(Memory Supercycle)的盈利能力，涉及美光($MU)、SK海力士、三星等公司。 AI需求+价格上调看起来像是新的结构性常态。
原推 ↗英文原文
$SNDK - Even after a 16% increase, the forward 2027 p/e is still single digits. That’s how profitable the memory supercycle is with $MU, SK Hynix, Samsung, and others The AI demand + price hikes looks like the new structural norm. https://t.co/6RG14zqEpr
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对比存储巨头远期市盈率，指出若周期延续，行业利润或创历史新高。
存储公司概览（2月2日）。 2026/2027年远期市盈率(Forward P/E)预估： 美光(Micron, $MU) 年初至今(YTD) +31.5%： ~10.4倍 (2026年) 闪迪(Sandisk, $SNDK) | 年初至今(YTD) +109.36%： ~14.6倍 (2026年) ~6.3倍 (2027年) 三星电子(Samsung Electronics) | 年初至今(YTD) +17.04%： ~5.1倍 (2026年) ~4.3倍 (2027年) SK海力士(SK Hynix) | 年初至今(YTD) +22.6%： ~4.3倍 (2026年) ~3.4倍 (2027年) 数据源自：三星/SK海力士来自摩根士丹利(Morgan Stanley)研报；闪迪来自贝尔斯登(Bernstein)；美光来自汇丰(HSBC)报告。 闪迪/三星/SK海力士的数据最为最新。 美光的报告日期为1月23日。但今日最新数据显示“美光提议服务器DRAM(DRAM)环比(QoQ)增长115–125%”（来源dramexchange）。 鉴于此前传闻三星NAND价格上涨100%以上：新计算可能将美光的远期市盈率降至~6.9倍-7.3倍。 原始计算使用的是之前的分析师报告。 存储公司预期的净利润令人难以置信。但显然市场在三星/SK海力士的上涨中定价了一些怀疑情绪。 然而，如果存储周期持续至2027-2028年之后，这些公司可能会成为历史上最盈利的企业。
原推 ↗英文原文
Memory Company Overview (February 2nd). Forward P/E Estimates for 2026/2027: Micron ( $MU ) +31.5% YTD: ~10.4x (2026) Sandisk ( $SNDK ) | +109.36% YTD: ~14.6x (2026) ~6.3x (2027) Samsung Electronics | + 17.04% YTD: ~5.1x (2026) ~4.3x (2027) SK Hynix | +22.6% YTD: ~4.3x (2026) ~3.4x (2027) Numbers were derived from Morgan Stanley's research note for Samsung/SK Hynix. Bernstein for Sandisk. HSBC report for Micron. Sandisk/Samsung/SK Hyinx are most up to date. Micron's report was January 23. But recent updates today show "Micron Proposed A 115–125% QoQ Increase for server DRAM" (dramexchange). With rumors that NAND prices increased 100%+ from Samsung the other week: new calculations would may bring Micron to ~6.9x-7.3x forward P/E. Original calculations were using prior analyst reports. The net income memory companies are expected to bring in is absurd. But clearly the market is pricing in some skepticism with the rally (with Samsung/SK Hynix). However if the memory cycle continues past 2027-2028, these companies could be the most profitable in history.
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白银暴跌引发连锁清算，建议转向AI及高现金流标的防御。
市场正经历清算级联效应。白银的崩盘现已蔓延至加密货币及美/外股市。具体情况如下： 以下是预期走势： - $BMNR（加密货币） - $RKLB（高贝塔值） - $SNDK（AI） - 至三星（外国股票）。 “Warsh”美联储主席提名是引发抛售的初始触发因素，市场将其视为“鹰派”->量化紧缩（Quantitative Tightening）。然而，这是一个误解，因为美联储主席很可能与特朗普的政策保持一致，且由于AI因素，其近期立场偏向短期鸽派+降息。 然而，抛售的技术性原因是CME+交易所控制强制白银保证金清算。随着白银日内暴跌33%，机构被迫清算其他标的并进行对冲。因此，我们看到了： 1. 恐惧传染——当避险金属如此暴跌时，会在其他板块引发恐慌。 2. 避险情绪——投资者恐慌性抛售“风险”资产和股票/转向美元和国债。 为了进行防御性操作： - 最好将投机性标的重新配置为符合新政策的自由现金流（FCF）/盈利型多头头寸。 - 如 $GOOGL、$NVDA 跌至 $MU、$TSM、$JPM、三星等标的将受益最大。 - 从 $PYPL 到 $SNAP 等已处于低位（具有强劲预期自由现金流）且被进一步抛售的股票，呈现出不错的反弹上行空间。 尤其是鉴于美联储主席预计对从AI到银行业的许多板块持看涨态度，且由AI增长+生产力推动的降息预期强烈。 警告： - 更多不产生巨大自由现金流的投机性小盘股（从 $ONDS 到 $RKLB）可能因与高贝塔板块抛售的相关性而面临更大风险。 - 像 $BMNR 这样持有非流动性资产（例如Mr. Beast公司2亿美元）的杠杆基金，以及像 $QBTS 或 $RGTI 这样的投机性标的，可能会最终看到重置/清零。 - 像 $JD 到 $BABA 这样的外国市场标的或像 $MELI 这样的新兴市场标的可能会受到流动性流失的影响。 当然，日内交易者可能会在高贝塔标的的反弹时机上大显身手（例如，如果 $ETH 闪崩12%至$2.1K -> 恢复至$2.3K）。 话虽如此，这并不是说“卖出高贝塔”。 鉴于以太坊从$3k+跌至$2.18k，这只是对目前在高贝塔板块使用保证金的人发出的警告： 如果高贝塔股票出现持续抛售，风险相当大。（我个人将以太坊作为代理指标）。 这只是个人市场观点，但总体而言，随着中期选举临近+更多预期的降息+财报表现创历史新高（例如 $SNDK 的爆发），对市场保持极度看涨是好的。 市场在中期选举前看到绿色V型复苏只是时间问题。 基本面没有改变，但表象和短期流动性改变了。
原推 ↗英文原文
Markets are seeing liquidation cascades. Silver's crash is now extending into other markets like Crypto and US/Foreign stocks. Here's what's happening: And here's what to expect from: - $BMNR (Crypto) - $RKLB (High-Beta) - $SNDK (AI) - to Samsung (Foreign). The "Warsh" Fed Chair nomination was the initial trigger that caused the selloff as markets viewed him as a "Hawk" -> Quantitative Tightening. However, this is a mistake as the fed chair is likely aligned with Trump's policies, and his recent stance is dovish short term + rate cuts, due to AI. However, the technical reason for the selloff was CME + Exchange controls forcing margin liquidations on Silver. As silver crashed 33% intra-day, institutions are forced to liquidate other names and hedge. So, we're seeing both: 1. Fear Contagion - when a safe haven metal plummets this much, this causes a panic across other sectors. 2. Flight to Safety - investors panic-sell "risky" assets and stocks / move to U.S. Dollar and Treasury Bonds. To play defensive: - It's best to reposition speculative names into FCF/profit generating long positions aligning with these new policies. - Names like $GOOGL, $NVDA down to $MU, $TSM, $JPM, Samsung, and others stand to benefit the most. - Stocks that are already at lows (with strong expected FCF) from $PYPL to $SNAP that are being sold off even more present decent recovery upside. Especially since the Fed chair is expected to be bullish for many sectors from AI to Banking, with rate-cuts fueled by AI growth + productivity. For a warning: - More speculative small cap names (that don't generate massive FCF) from $ONDS to $RKLB may be more at risk due to correlation to high-beta sector selloffs. - Leveraged funds like $BMNR with iliquid assets (eg. $200M in Mr. Beast's company) to speculative names like $QBTS or $RGTI may finally see a reset/wipeout. - Foreign market names like $JD to $BABA or emerging market names like $MELI may be impacted from a liquidity drain. But of course, day-traders may have a field day timing rebounds on high-beta names (eg. if $ETH flash crashes 12% to $2.1K -> recovery to $2.3K). That being said this is not saying "Sell High-Beta". This is just a warning to people with margin on high-beta sectors now that given Ethereum's flush from $3k+ down to $2.18k: There's considerable risk if there's an extended selloff on high-beta stocks. (I've been personally looking at Ethereum as a proxy). This is just personal market opinion, but generally as midterms come up + more expected rate cuts + earnings coming out higher than ever (eg. $SNDK's blowout), it's good to remain extremely bullish on the market. And it's just a matter of time before markets see a green V recovery before midterms. Fundamentals haven't changed but optics have and short-term liquidity have.
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摩根士丹利预测2027年存储巨头利润登顶，确认存储超级周期已至。
存储超级周期已至。 据摩根士丹利(Morgan Stanley)最新报告估算： - 三星(Samsung)净利润约1630亿美元 - 海力士(SK Hynix)约1209亿美元。 这将使三星成为全球最赚钱的公司，甚至超过$NVDA和$GOOGL。 以下是前十名排名： 1. 三星电子 ~1630亿美元 (2027年) 2. Alphabet $GOOGL 1524.4亿美元 3. Apple $APPL 1330.5亿美元 4. Microsoft $MSFT 1276.5亿美元 5. 海力士 $SKHYNIX 1209亿美元 (2027年) 6. NVIDIA $NVDA 1165.1亿美元 7. Amazon $AMZN 952.2亿美元 8. Meta $META 850.9亿美元 9. 伯克希尔哈撒韦 $BRK 815亿美元 10. 摩根大通 $JPM 728.1亿美元 这是基于companiesmarketcap来源的2027年前瞻净利润与过去十二个月(TTM)净利润的对比。感谢@jukan05提供摩根士丹利报告。上述数据排除了沙特阿美(National companies)等国有企业。 来自$MU、三星和海力士的存储超级周期显然已经到来。
原推 ↗英文原文
The Memory Supercycle is here. New reports from Morgan Stanley est. - Samsung's net profit ~$163.0B USD - SK Hynix's ~$120.9B USD. That would make Samsung the most profitable company in the world, even more than $NVDA and $GOOGL. Here are the top 10 rankings: 1. Samsung Electronics ~$163.0B (2027) 2. Alphabet $GOOGL $152.44B 3. Apple $APPL $133.05B 4 Microsoft $MSFT $127.65B 5. Sk Hynix $120.9B (2027 6. NVIDIA $NVDA $116.51B 7. Amazon $AMZN $95.22B 8 Meta$META $85.09B 9. Berkshire Hathaway $BRK $81.5B 10. JPMorgan Chase $JPM $72.81B This is forward 2027 net income compared to TTM net income sourced by from companiesmarketcap. Credit to @jukan05 for the Morgan Stanley report. Excluding National companies like Saudi Aramco in these figures. The memory supercyle from $MU, Samsung, and SK Hynix is here clearly here.
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解析新任美联储主席 Warsh 政策对 AI、金属、加密及全球股市的差异化影响。
Kevin Warsh 是下一任美联储主席。 市场可能会误以为他是一只“鹰派”。 但他 2026 年的实际立场是微妙的。 以下是他的政策及其对市场的影响： 1. AI/半导体（$NVDA, $MU）：极度看涨 2. 金属（白银、黄金）：极度看跌 3. 加密货币（$BTC, $CRCL）：悖论式看涨 4. 银行与金融（$JPM, $BOA）：看涨 5. 住房与房地产：混合/不确定 6. 可再生能源：看跌 7. 小盘股（$RUT）：看涨 8. 外国股票（日本、韩国）：具有韧性 - 新兴市场（EM）：极度看跌 - 中国与香港：看跌 - 欧洲（$VGK, $EZU）：谨慎 1. AI/半导体（从 Nvidia 到 Micron）：极度看涨 Warsh 是 AI 多头。 在 2025 年底，他认为 AI 是一种强大的抗通胀力量。他相信 AI 驱动的生产力提升将使经济在不会引发通胀的情况下快速增长。 这种“生产力繁荣”为他提供了智力上的“掩护”，即使经济保持强劲，他也支持降息。（《美联储破碎的领导层》，2025 年 11 月 16 日《华尔街日报》） 这与他早期立场大相径庭，当时市场预计他会是僵化的通胀鹰派（希望利率更高的人）。 他倡导降息并希望加速 AI 发展。 2. 金属（白银、黄金）：极度看跌 投资者使用黄金作为对冲弱势美元和“印钞”的工具。因为 Warsh 希望缩减资产负债表并关闭“印钞机”，持有黄金的主要理由正在减弱。强势美元使得金属对国际买家来说更昂贵。 话虽如此，白银日内 33% 的下跌主要是由其他因素造成的，例如保证金变动引发的连锁清算，尽管新任美联储主席可能起到了次要作用。 3. 加密货币（$BTC, $CRCL）：悖论式看涨 他曾著名地表示：“如果你不到 40 岁，比特币就是你的新黄金。”他将比特币视为合法的价值储存手段，并认为这是从实物金属向代际转变。 他将区块链视为“最新、最酷的软件”，并相信美国必须在此领域保持领先，以在全球竞争中保持经济竞争力。 然而；“悖论”：为何价格下跌： 市场意识到，虽然 Warsh 希望降低利率，但他也希望美联储资产负债表更小。 投资者害怕我们进入“降息但不量化宽松（QE）”的时代。你可能会得到更便宜的贷款，但不会得到通常将 $BTC 推向历史新高的巨大“资金墙”。 所以我们有一个人对加密货币技术看涨，但他的货币纪律可能会损害短期流动性。 4. 银行与金融：看涨 由于他在摩根士丹利的经历以及对“使命蔓延”的直言不讳的批评，Warsh 是银行业界的宠儿。预计他将回滚复杂的银行资本要求（如巴塞尔协议 III）。分析师认为这对区域性和小盘银行是一个重大利好，因为它释放了用于贷款的资本。 5. 住房与房地产：混合 他希望激进地降低联邦基金利率。这将立即降低可调利率抵押贷款（ARMs）和建筑贷款的成本。 然而，看跌的情况是 Warsh 强烈反对美联储持有 2 万亿美元的抵押贷款支持证券（MBS）。许多经济学家警告，这可能会推高 30 年期固定抵押贷款利率（可能升至 7% 或 8%），即使美联储正在降低其他利率。 6. 可再生能源：看跌 他打算让美联储退出全球气候团体（如绿色金融系统网络）并结束银行的“气候压力测试”。 在杰罗姆·鲍威尔任内，美联储鼓励银行在贷款中考虑气候风险。Warsh 希望结束这种做法，这实际上消除了使绿色项目更容易从主要银行获得优惠贷款条款的“监管推动”。 7. 小盘股 Warsh 明确表示，他希望美联储关注经济的“真正驱动力”，即中小企业和企业家，而不是华尔街的“娇生惯养的王子”。 预计 Warsh 将领导大幅回滚复杂的银行资本要求。这对小盘股强烈看涨。他打算通过减轻从事大多数小企业贷款的小型和区域性银行的监管负担，扩大小企业获得资本的途径。 8. 外国股票 预计 Warsh 将在受益于强劲美国经济和易受强势美元及全球流动性收紧影响的国家之间造成分裂。 日本/韩国（三星、SK 海力士等）：日本和韩国“没问题”，因为它们拥有 Kevin Warsh 认为将拯救美国经济的 AI 和机器人交易的物理瓶颈。 通常，强势美元对外国股票不利，但对于日本和韩国来说，这是一种竞争武器： - 出口提振：由于他们的大多数 AI 和机器人合同以美元计价，强势美元意味着他们的收入（换算回日元等）大幅膨胀。 - 对美国更便宜：Warsh 的“强势美元”政策使得日本机器人和韩国芯片对美国公司来说更便宜。这加速了 Warsh 想要的“生产力繁荣”，同时增加了这些外国科技巨头的利润。 中国：强势美元给人民币带来压力，使中国人民银行（中国央行）更难降息以刺激其 struggling 的经济。 新兴市场：强势美元使得新兴国家偿还美元计价债务的成本更高。 欧洲：美元复苏可能会压低欧元，这有助于欧洲出口，但增加了其能源进口成本。 _ 周五，随着白银/黄金暴跌，市场大幅抛售，对冲操作抽走了系统中的流动性。 市场可能会将 Warsh 误认为是历史上的鹰派。 然而，最近的声明显示他短期内偏向鸽派，并支持由 AI 加速的降息。 市场目前正在定价同时降息和缩减资产负债表的可能性，但总体而言，预计从 AI 到小盘成长的许多交易将继续进行。
原推 ↗英文原文
Kevin Warsh is the next Federal Reserve Chair. Markets may confuse him as a "Hawk". His actual stance in 2026 is nuanced. Here's his policies and how they affect the markets: 1. AI/Semis ( $NVDA, $MU): Extremely Bullish 2. Metals (Silver, Gold): Extreme Bearish 3. Crypto ( $BTC, $CRCL ): Paradoxically bullish 4. Banking & Financials ( $JPM, $BOA ): Bullish 5. Housing & Real Estate: Mixed/Uncertain 6. Renewable Energy: Bearish 7. Small-Caps ( $RUT ) : Bullish 8. Foreign Stocks (Japan, Korea): Resilient - Emerging Markets (EM): Extremely Bearish - China & Hong Kong: Bearish - Europe ( $VGK, $EZU): Cautious 1. AI/Semis ( Nvidia to Micron ): Extremely Bullish Warsh is an AI Bull. In late 2025, he argued that AI is a powerful dis-inflationary force. He believes AI-driven productivity gains will allow the economy to grow rapidly without triggering inflation. This "productivity boom" gives him the intellectual "cover" to support rate cuts even if the economy remains strong. (The Federal Reserve’s Broken Leadership, November 16, 2025 WSJ) This is much different than his earlier stances where markets expected him to be a rigid inflation hawk (someone who wants higher rates). He is advocating for cuts and wants to accelerate AI development. 2. Metals (Silver, Gold): Extreme Bearish Investors use gold as a hedge against a weak dollar and "money printing." Because Warsh wants to shrink the balance sheet and turn off the "printing press," the primary reason for holding gold is diminishing. A stronger U.S. Dollar is making metals more expensive for international buyers. That being said the 33% intraday silver drop was mainly from other factors such as cascading liqudation from margin changes, though the new Fed chair likely played a minor role. 3. Crypto ( $BTC, $CRCL ): Paradoxically bullish He famously stated, "If you're under 40, Bitcoin is your new gold." He views Bitcoin as a legitimate store of value and a generational shift away from physical metals. He views the blockchain as "the newest and coolest software" and believes the U.S. must lead in this space to remain economically competitive against global rivals. However; The "Paradox": Why Prices are Dropping: The market is realizing that while Warsh wants lower interest rates, he also wants a smaller Fed balance sheet. Investors are terrified that we are entering an era of "Rate Cuts without QE." You might get cheaper loans, but you won't get the massive "wall of money" that usually sends $BTC to all-time highs. So we have a guy bullish on the technology of crypto, but his monetary discipline might hurt short-term liquidity. 4. Banking & Financials: Bullish Warsh is a favorite of the banking sector due to his experience at Morgan Stanley and his vocal criticism of "mission creep." He is expected to roll back complex bank capital requirements (like Basel III). Analysts see this as a major win for regional and small-cap banks, as it frees up capital for lending. 5. Housing & Real Estate: Mixed He wants to cut the Federal Funds Rate aggressively. This would immediately lower the cost of Adjustable-Rate Mortgages (ARMs) and construction loans. However, the bear case is that Warsh is a fierce opponent of the Fed owning $2 trillion in Mortgage-Backed Securities (MBS). Many economists warn this could push the 30-year fixed mortgage rate higher (potentially toward 7% or 8%) even as the Fed is cutting other interest rates. 6. Renewable Energy: Bearish He intends to withdraw the Fed from global climate groups (like the Network for Greening the Financial System) and end "climate stress tests" for banks. Under Jerome Powell, the Fed encouraged banks to consider climate risks in their lending. Warsh wants to end this, which effectively removes the "regulatory nudge" that made it easier for green projects to get favorable loan terms from major banks. 7. Small-Caps Warsh has explicitly stated that he wants the Federal Reserve to focus on the "true drivers of the economy", small businesses and entrepreneurs, rather than just the "pampered princes" of Wall Street. Warsh is expected to lead a significant rollback of complex banking capital requirements. This is strongly bullish for small caps. He intends to broaden access to capital for small firms by reducing the regulatory burden on the small and regional banks that do the majority of small-business lending. 8. Foreign Stocks Warsh is expected to createa a divide between countries that benefit from a strong U.S. economy and those that are vulnerable to a stronger U.S. Dollar and tighter global liquidity. Japan/Korea (Samsung, SK Hynix, etc): Japan and Korea are "fine" because they own the physical bottlenecks of the AI and robotics trades that Kevin Warsh believes will save the U.S. economy. Usually, a strong USD is bad for foreign stocks, but for Japan and Korea, it’s a competitive weapon: - Export Boost: Since most of their AI and robotics contracts are priced in USD, a stronger dollar means their revenue (when converted back to Yen, etc.) is massively inflated. - Cheaper for the U.S.: Warsh’s "Strong Dollar" policy makes Japanese robots and Korean chips cheaper for American companies to buy. This accelerates the "Productivity Boom" Warsh wants while padding the profits of these foreign tech giants. China: A stronger dollar puts pressure on the Yuan, making it harder for the PBoC (China's central bank) to cut their own rates to stimulate their struggling economy. Emerging Markets: A stronger U.S. Dollar makes it much more expensive for emerging countries to service their dollar-denominated debt. Europe: Dollar recovery could push the Euro lower, which helps European exports but increases their energy import costs. _ On Friday, markets sold off sharply on Silver/Gold crashing, and hedging pulled liquidity out of the system. Markets might confuse Warsh as a historical hawk. However, recent statements show he's near term dovish and supports lower rates, accelerated by AI. Markets are currently pricing in the possibility of simultaneous rate cuts and balance sheet reductions but generally, many trades from AI to small cap growth are expected to continue.
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7N铟价创新高，AI需求致上游供应瓶颈显现，涨价在即。
7N铟价格在SMM上刚刚创下历史新高，且毫无放缓迹象。 $AXTI 的瓶颈正在实时上演。 西方超大规模云服务商似乎正在吸收用于AI建设的几乎所有磷化铟(InP)衬底和前驱体供应。 就像 $SNDK 和 $MU 一样，对于像AXT这样的上游供应商来说，这只是一场等待涨价（类似NAND）的博弈。 供应冲击似乎不可避免。
原推 ↗英文原文
7N Indium prices have just hit ATHs on SMM with zero signs of slowing down. The $AXTI bottleneck is playing out real time. Western hyperscalers appear to be soaking up every bit of the InP substrates + precursors supply for the AI buildout. Like $SNDK and $MU, it's just a waiting game for the upstream suppliers like AXT to increase prices (like NAND). The supply shock feels inevitable.
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SanDisk聚焦AI致传统存储真空，群联与美光科有望填补。
我持有的、在 $SNDK 财报后有趣的受益者： 群联电子 (TPE: 8299) 和 美光科 (TPE: 2337)。 类似于南亚科 (1年涨幅 1,035.96%) 填补了 $MU、SK 海力士和三星留下的传统 DRAM 空白： 群联电子在闪存 (库存) 方面对 SanDisk 做同样的事。美光科则通过 MLC NAND (拥有晶圆厂) 填补空白。 所以这是另一个“传统空白”策略。 随着 $SNDK 将其 NAND 晶圆转向企业级 SSD 以聚焦 AI，群联/美光科看起来要填补这一真空。 特别是当 SK 海力士和三星停止生产 MLC NAND 以聚焦 HBM 时，这两家公司将成为传统存储领域的“最后幸存者”。 群联电子恰好拥有 2024/2025 年大量低成本 NAND 库存。 美光科正在增加 MLC NAND 产量以填补三星/SanDisk 转型留下的空白。 所以对于 SanDisk 留下的“南亚科 2.0”： 群联 = 巨大库存的价格套利 美光科 = MLC NAND
原推 ↗英文原文
Interesting beneficiaries post $SNDK earnings that I own: Phison (TPE: 8299) and Macronix (TPE: 2337). Similar to Nayna (1,035.96% 1Y) that filled legacy dram void from $MU, Sk Hynix, and Samsung: Phison does the same with Sandisk with flash (inventory). And Macronix with MLC NAND (owns wafer fabs). So another "legacy void" play. As $SNDK pivots their NAND wafers toward enterprise SSDs to focus on AI, Phison/Macronix looks to fill the vacuum. Esp. when Sk Hynix and Samsung stop making MLC NAND to focus on HBM, the "Last Man Standing" for legacy storage would be those two. Phison happens to be sitting on a massive stockpile of lower-cost NAND from 2024/2025. And Macronix are upping their MLC NAND production to fill the void from the Samsung/SanDisk pivot. So for Nanya v2 left by Sandisk: Phison = Massive stockpile price abritrage Macronix = MLC NAND
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推荐南亚科、华邦等亚洲存储股作为AI存储巨头替代标的。
其他一些亚洲存储多头思路，如南亚科（如果你不想投 $MU、三星、SK 海力士这类巨头）： - 华邦电子（DRAM/Flash）1年涨幅847% - Macronix（ROM/NOR Flash）1年涨幅389% - 群联电子（Kioxia $SNDK 的SSD控制器）1年涨幅383% 其他有趣的还有东京电子，作为NAND/DRAM设备商，是间接受益者。
原推 ↗英文原文
Some other Asia memory long ideas like Nanya (if you don’t want $MU, Samsung, SK Hynix types) - Winbond (dram/flash) up 847% 1Y - Macronix (ROM/ NOR flash) up 389% 1Y - Phison Electronics (SSD controllers for Kioxia $SNDK) up 383% 1Y Some other interesting ones are Tokyo Electron for NAND/DRAM equipment for indirect beneficiaries
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对比沃尔玛与美光基本面，建议关注价值而非择时。
我喜欢举这个例子： $WMT，这家袜子零售商的前向市盈率约为40倍，其营收同比增长约5.8%，与通胀水平一致。 $MU，这家领先的存储超级周期公司，前向市盈率约为8.4-8.7倍，营收同比增长133%，每股收益(EPS)同比增长319%。 我认为人们不应该在这里试图择时交易，只需关注基本面即可。
原推 ↗英文原文
I like to give this example: $WMT, the sock reseller has a forward P/E is ~40 and it's growing ~5.8% Y/Y in line with inflation. $MU, the leading memory supercycle company, has a forward P/E is 8.4-8.7 ish, off 133% revenue growth Y/Y, and EPS growth 319% Y/Y. I don't think people should be timing the market here, just look at fundamentals.
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对比美光与Nayna的风险收益，因市值差异调整持仓权重。
@ShortsHoward 风险特征和上行空间。鉴于地缘政治因素，$MU 的波动性低于 $NAYA，因此我对两者的投资组合权重配置不同。市值越小（例如 $NAYA 为 290 亿美元 vs $MU 为 4610 亿美元），通常上行空间越大。
原推 ↗英文原文
@ShortsHoward Both risk profile and upside. $MU is less volatile than Nanyna just given geopolitics so I do portfolio weightings differently. The smaller the MC (eg. $29B Nayna vs $461B Micron), the higher upside there is typically .
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内存涨价致MU等前向市盈率降低，厂商竞相提价。
取决于具体日期。根据近期涨价的估算预测，如果计入25日的NAND（闪存）价格涨幅，$MU 的前向市盈率（Forward P/E）可能在8.4-8.7左右。南亚科（Nanya）可能在9.5左右，但其增长速度更快。再次强调，这些公司不断上调内存价格，因此即使股价上涨，前向市盈率也会降低。之前的预测也难以跟上变化。目前它们只是在比拼谁涨价幅度更大。
原推 ↗英文原文
Depends on the day. Using est. projections from recent price hikes, $MU is probably sitting around 8.4-8.7-ish forward p/e if you account for NAND price hikes on the 25th. Nanya is maybe 9.5-ish but it's growing a lot faster. Again these companies keep raising memory prices, so forward p/e gets lower even as the stock prices increases. And previous projections can't keep up as well. They're just one-upping each other on who can hike prices the most at this point.
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南亚科因巨头退出成熟存储市场成唯一供应商，享稀缺溢价，股价低估。
南亚科(TPE: 2408)是我在存储领域的多头持仓之一，与$MU、SK海力士和三星并列。 但理由不同。 你可能在想，这种抛物线趋势（1年+972%）是否会停止？可能不会。 而且它每天还在上涨7%。 以下是简单的总结： 其远期市盈率仅为~13.62（随着涨价，现在可能更低）。 营收同比增长+357.7%/净利润同比增长+804.27%，其利润天文数字般巨大。 类似于美光上个月57.56%+的增速，且自从我首次提及以来已翻倍有余： 股价简直跟不上。 当巨头（三星、SK海力士和$MU）争夺高端AI市场时，南亚科专注于PC、计算机电子和工业领域的成熟及特种DRAM产品。（尽管他们也在做1b节点的先进芯片）。 存储公司留下了巨大的空白，而南亚科填补了它： 美光 - 完全退出消费级产品线 SK海力士 - 几乎完全专注于HBM4和服务器级DRAM。 三星 - 将30-40%的成熟产线重新分配给先进AI存储。 南亚科 - 最后的坚守者 需求保持稳定，但成熟DRAM供应突然断崖式下跌。且它仍被广泛使用于： - 消费级PC和笔记本电脑：2015至2023年间生产的数百万台电脑使用DDR4 - 智能手机：大多数中端和入门级智能手机使用LPDDR4 - 家庭电子产品：智能电视、游戏机（如旧款Nintendo Switch或PS4）使用这些。 基本上，它们仍需生产这些，但南亚科手握所有牌。 买家为旧内存支付“稀缺溢价”，因为他们无处可买，且在一个无聊的市场中看到了供应冲击。 南亚科本质上成了沙漠中卖水的人。他们可以不断抬高水的价格。 我做多这家在沙漠中卖水的公司。
原推 ↗英文原文
Nanyna (TPE: 2408) is one of my longs alongside $MU, SK Hynix, and Samsung for memory. But for a different reason. You might be thinking if this parabolic trend (+972% 1Y). is going to stop? Probably not. And it just keeps going up 7% a day. Here's a simple TLDR why: The forward P/E is only ~13.62 (likely lower now with price hikes). With +357.7% Revenue Growth/+804.27% Net Income Growth Y/Y, their profits are astronomical. Similar to Micron and their 57.56%+ last month, and more than doubling since I first mentioned it: The stock price literally can't keep up. While the giants (Samsung, SK Hynix, and $MU) are fighting over the high-end AI market, Nanya specialized in the legacy and specialty DRAM products from PCs, computer electronics, and industrial. (They are doing advanced chips though with 1b Nodes though). And the memory companies left a massive void Nanya filled: Micron - Total Exit from Consumer Lines SK Hynix - Focusing almost entirely on HBM4 and server-grade DRAM. Samsung - Reallocating 30–40% of legacy lines to advanced AI memory. Nanya - Last man standing Demand stayed steady but legacy DRAM supply suddenly fell off a cliff. And it's still widely used from: - Consumer PCs and Laptops: Millions of computers built between 2015 and 2023 use DDR4 - Smartphones: Most mid-range and budget smartphones use LPDDR4 - Home Electronics: Smart TVs, gaming consoles (like the older Nintendo Switch or PS4) use these. Basically, they still need to make these, but Nayna has all the cards. Buyers are paying a "scarcity premium" for older memory because they can't find it anywhere else and seeing a supply shock in a boring market. Nanya essentially became the guy selling water in a desert. And they can keep jacking up the price of water. I'm long on the cat sounding company selling water in the desert.
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看好美光因关税豁免和补贴优势，优于面临地缘压力的韩系厂商。
$MU 看起来是个很棒的做多标的！话虽如此，三星电子和 SK 海力士仍然是我最喜欢的持仓。看起来美国基本上是在利用强烈的关税威胁，迫使三星和 SK 海力士将下一代晶圆厂迁至美国本土（正如得克萨斯州 370 亿美元的三星工厂和印第安纳州 39 亿美元的 SK 海力士工厂所示）。但最近的新闻看起来像是关税逆风下的“TACO”局面（即关税行动取消操作）。相比之下，$MU 享有关税豁免 + 获得《芯片法案》补贴，且不会每天面临来自特朗普的地缘政治威胁。
原推 ↗英文原文
$MU looks like a great long! This being said Samsung Electronics and Sk Hynix are still two of my favorite positions. It looks like the US is essentially using strong tariff threats to force Samsung and SK Hynix to move their next generation of fabs to US soil (as seen with $37B Samsung plant in Texas and SK Hynix’s $3.9B Indiana). But recent news does look like a TACO situation with tariff headwinds. Whereas $MU is tariff-exempt + gets CHIPS Act subsidies, and doesn't have constant geopolitical threats from Trump every day.
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研究Google TPU v8x玻璃基板供应链瓶颈及潜在受益股。
我持有 $MU 的头寸，但目前只是持有不动。 说到 $INTC，我刚刚研究了关于 Google TPU v8x 据报道使用的 EMIB-T 玻璃可能存在的铝硅酸盐玻璃瓶颈： 例如：钡和锶 -> $SOLV 锡 / 二氧化锡 (SnO2) -> $MTL 化学机械抛光 (CMP) 浆料和纯度过滤器 -> $ENTG 精炼硼酸盐 -> $FEAM 气相二氧化硅 -> $CBT 还没研究完，但他们在该领域的工作确实是一个令人兴奋的机会。
原推 ↗英文原文
I have $MU positions but I'm just sitting on them. Speaking of $INTC, was just looking into possible aluminosilicate glass bottlenecks with EMIB-T on glass reportedly used by Google TPU v8x: eg. Barium & Strontium -> $SOLV Tin / SnO2 -> $MTL CMP Slurries and Purity Filters -> $ENTG Refined Borates -> $FEAM Fumed Silica -> $CBT Haven't finished yet, but their work in the area is definitely an exciting opportunity
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美光凭借美国制造护城河及存储超级周期，估值优于同业。
“美国制造”是美光($MU)和英特尔($INTC)拥有的最强大护城河(Moat)。 以下是美光的最新动态： 继25日NAND和DRAM涨价预期上调后： $MU的前向市盈率(Forward P/E)可能在~8.2-8.5倍左右，同时毛利率(Gross Margins)维持在75-77%。 随后是特朗普和卢特尼克的新评论： - “任何想建设存储芯片的企业只有两个选择：要么支付100%的关税，要么在美国本土建厂”——卢特尼克（在美光存储芯片工厂，1月17日） - “特朗普将对韩国进口商品关税提高至25%”——（1月27日） 这是一个非常有趣的动态，因为美光作为美国的冠军企业，仍能通过海外扩张获得税收优惠。而三星或SK海力士的类似扩张则被视为面临关税风险。 此外，今天的新消息显示美光正在新加坡以240亿美元的投资加速NAND生产。 所以大家都在问，为什么$MU的估值高于其他存储芯片制造商？ 我们正亲眼目睹美国“美国制造”护城河与“存储超级周期(Memory Supercycle)”中无休止的涨价改善利润表共同发挥作用。 白宫正在尽其所能确保其本土领导者取得成功。
原推 ↗英文原文
"Made in America" is the greatest moat $MU and $INTC have. Here's the recent developments with Micron: From NAND + DRAM hike est. on the 25th: $MU forward P/E would likely be ~8.2-8.5 with gross margins sitting at 75-77%. This is followed by new comments from Trump and Lutnick: - “Everyone who wants to build memory has two choices: They can pay a 100 per cent tariff, or they can build in America" - Lutnick (Micron Technology memory chip plant, Jan 17) - "Trump raises US tariffs on South Korea imports to 25%" - (Jan 27th) It's a fascinating dynamic as Micron still gets tax benefits through overseas expansion as America's champion. Whereas similar expansions by Samsung or SK Hynix are viewed through the lens of tariff risk. This is coupled with new news today that Micron was ramping up NAND production in Singapore with $24B. So everyone was wondering, why $MU was valued higher than other memory makers? We're seeing the the USA "Made in America" moat live in action together with "The Memory Supercycle" of endless price hikes improving bottom lines. The White House is doing everything it can to make its domestic leaders succeed.
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推荐AI供应链关键外国垄断股及美股替代投资渠道。
我首选的外国股票摘要： 1. 日本帝人博西(Nitto Boseki) - T-玻璃(T-Glass) 2. 台湾欣兴电子(Unimicron) - 基板/玻璃核心(Substrates/Glass Core) 3. 三星/SK海力士 - 高带宽内存(HBM) 4. 日本铠侠(Kioxia) - 与 $SNDK 合作的 NAND 闪存 5. 台湾南亚科技(Nanya Technologies) - 内存 我通常更偏好“美国制造”瓶颈及供应链相关的美国标的，如 $INTC (晶圆代工)、$MU (内存) 或 $LPTH (锗)。但这些外国公司要么对整个人工智能(AI)基础设施建设至关重要，要么能捕获大量溢出需求。 如果你想知道如何进入外国市场？ - $IBKR 像帝人博西这样的公司有美国场外交易(OTC)等价物，如 $NBCLF。如果你使用 Robinhood，$EWY / $FLKR 可以提供对韩国大型内存公司的敞口。 像帝人博西这样的公司接近垄断，因此这是我特意去投资的极少数外国公司。
原推 ↗英文原文
TLDR of my top foreign stocks: 1. Nitto Boseki - T-Glass (Japan) 2. Unimicron - Substrates/Glass Core (Taiwan) 3. Samsung/SK Hynix - HBM (Korea) 4. Kioxia - NAND w/ $SNDK (Japan) 5. Nanya Technologies - Memory (Taiwan) US supply chains like $INTC (foundry), $MU (memory), or $LPTH (germanium) are typically my longs of preference "Made in America" bottleneck + supply chains. But some of these foreign companies are either critical to the entire AI buildout or capture a lot of the overflow. If you're wondering how you get access to foreign markets? - $IBKR There are US OTC equivalents for companies like Nitto Boseki like $NBCLF. If you're on Robinhood, $EWY / $FLKR provides access to large KR memory exposure. Some like Nitto Boseki are near monopolies so these are the very rare foreign companies I go out of my way to invest in.
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作者认为$BBW五年回报超英伟达，讽刺热门赛道拥挤。
人们做多 $MU / $SNDK 押注“存储超级周期(Memory Supercycle)”。 或者因为需求做多“铜(Copper)”。 但显而易见的交易就在你面前吗？ $BBW - Build a Bear（泰迪熊工厂）。 5年回报率： 泰迪熊：1301.55% 英伟达(Nvidia)：+1,258.68% 当你在 GPU/存储/铜供应链中为残羹冷炙争斗时，你本可以像我一样买一只泰迪熊。
原推 ↗英文原文
People are long $MU / $SNDK for "The Memory Supercycle". Or "Copper" because of demand. But is obvious trade in front of you? $BBW - Build a Bear. 5y Return: Teddy Bear: 1301.55% Nvidia: +1,258.68% While you're fighting for crumbs in the GPU/Memory/Copper supply chains, you could have just bought a Teddy Bear like I did.
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美光涨价打破传统模型，估值难追股价。
@sarfatti_IR 是的，这对 $MU 来说太惊人了，而且所有这些涨价都打破了传统建模。我又做了一些计算，前瞻市盈率(Forward P/E)可能会压缩至约 8.2-8.5 倍，对应 77.2% 的毛利率。估值无法跟上股价的步伐。
原推 ↗英文原文
@sarfatti_IR Yeah this is incredible for $MU and all these price hikes break traditional modeling. I did some calculations again and forward p/e might compress to ~8.2-8.5 of 77.2% gross margins The valuation can’t keep up with the stock price
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美光涨价利好，前瞻PE降至8.9倍，股价滞后于基本面改善。
@TechEquityEng 随着这一疯狂的涨价，一些粗略估算(quick estimates)可能将 $MU 的前瞻市盈率(forward p/e)从之前的预期拉回到约 8.9 倍。 美光(Micron)的基本面每天都在变得更便宜，而股价却无法跟上。
原推 ↗英文原文
@TechEquityEng With this insane price hike, some napkin math calculations might bring $MU back to forward p/e ~8.9 from previous expectations. Micron fundamentally keeps getting cheaper every day and stock price can’t keep up.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$INTC财报后更新。 强烈买入： $SNAP $META 三星电子 SK海力士 $MU 欣兴电子 $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL 买入： $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF 存疑 $VELO $SKYT 回避 $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ, RGTI, QBTS _ 强烈买入 Snapchat - 底部约在$7.4，我认为在此位置非常强劲。随着内存资本支出减少及内存变现进入2027年，自由现金流(FCF)增加。只需等待重估。 Meta - 营收同比增长26%极其强劲，上季度产生超$100亿自由现金流。预计下季度财报后走势将走强，此前因光学(环比EPS光学效应超700%)导致BBB抛售，现在应已消化。 三星电子 - 半导体领域的圣杯，三星同时提供高带宽内存(HBM)和代工(Fab)敞口。 SK海力士 - 内存超级周期 美光 - 内存超级周期，但有美国背景支持。 欣兴电子 - 针对HBM、IC载板、玻璃基板、CoWoS及其他所有瓶颈环节的“邪恶”长线持仓。 台积电 - 印钞机，字面意义上不会出错。 Circle - 预计降息2-3次可能会大幅损害Circle净利润，因此已被定价。但在$160亿市值时是极佳的长线标的，他们正在印钞，且应开始看到美元稳定币(USDC)的扩张。 AXTI - LPTH: 磷化铟(InP)/锗等瓶颈。将成为2026年的巨大主题。只需等待AXT的供应链中断或Lightpath的黑钻(Black Diamond)在美国制造。我认为由于产能爬坡->收入增加，下行风险极低，但类似HBM的“登月式”涨价可能存疑。 COPX - 锂：稀土/材料如铜、锂是2026年的极佳长线标的。与上述瓶颈类似，来自中国的供应链中断将导致资金流向确保供应+建设新供应链。 AEHR - 说实话，他们处于AI和机器人两个热门垂直领域。$550万索诺玛(Sonoma)订单可能与美光和碳化硅(SiC)测试有关。看起来是市值低于$10亿的极佳“登月”标的。 FORM - 由于涉及DRAM/HBM及代工/逻辑，可能在美国供应链中变得重要。良率在HBM4中尤为重要。 AMKR - 美国本土制造供应链及台积电->美国转移的极大受益者。 博通 - 财报后近期大幅回调。鉴于超大规模客户ASIC将继续爬坡（尽管有一些延迟），我认为在此位置强烈买入。 Marvell - 与博通故事相同，Marvell因微软Maia延迟传闻而抛售。只需等待2027年营收约翻倍，当市场开始定价这一点，以及在Celestial收购后，他们在互连等其他领域做得很好。 买入 Coinbase - 加密货币近期回调使Coinbase在$570亿市值下价值再次合理。我从未喜欢其交易所部分，但为贝莱德IBIT ETF提供基础设施+与Circle的USDC收入分成，赋予Coinbase相当不错的长期价值。 SMCI - 从$60+暴跌回$30+呈现了极具吸引力的机会。市场极度担忧毛利率->SMCI向海外扩张，特别是主权AI+购买低端Nvidia GPU。且SMCI在那里的毛利率应会提升。也可能因为与客户达成的交易变得“粘性”。他们的营收增长并未停滞，仍达$360亿+。 GOOGL - 此时Gemini可能会接管ChatGPT，所以我会继续做多谷歌。 Figma - 软件板块抛售为许多被重挫的标的如Figma提供了良好机会，其拥有极高的毛利率+稳健增长。 亚马逊 - 价格基本与去年持平，他们一直在增长，AWS表现良好，涉足机器人+太空低轨卫星(LEO)，看起来是未来极佳的长线标的。 比特币 - 始终是极具吸引力的长线标的 Reddit - 估值高，但毛利率极高且不会消失，因为每个人都在用Reddit。 TTD - 2025年的抛售再次呈现了极具吸引力的估值 HIMS - 说实话，在$29时对我极具吸引力，可能会再次放入强烈买入，但当然营收减速非常令人担忧。主要Alpha在于市场未定价Zava收购，仅凭庞大的客户群，他们就能从新客户中衍生大量营收。 Robinhood - 从$140抛售回$100再次为Robinhood提供了良好机会。他们不会消失，加上银行+其他新产品营收扩张，应带来积极顺风。 Coherent - 长线美国供应链，特别是光子学、InP等。 AMBA - 针对边缘AI推理用于机器人爬坡+边缘计算的“登月”长线标的。 POET - 现在基本是1/2现金，通过Celestial间接进入Marvell+超大规模客户。鉴于承销商在$7.25买入，$6.8的股价具有吸引力。 AAOI - 与微软Maia和AWS Trainium绑定的长线标的。两者都尚未真正起飞，所以只是等待游戏。 LASR - 定向能武器非常酷。我不太喜欢基本面如20%左右的营收增长，但技术实在太酷了。 VPG - 与Optimus爬坡绑定的长线标的。我们应在2026年底看到工业用例，2027年底看到消费用例，所以Optimus生产可能现在开始或Q2影响资产负债表。 OSS - 国防板块及边缘AI+$2亿合同的长线标的。 INTC - 做多美国政策，财报并未改变任何观点，只是短期价格。 UMAC - 在此水平上是美国无人机制造的极佳长线标的。 ONDS, Airo, DPRO - 与AIRO, DPRO相同，看多无人机板块。相比几周前美国入侵委内瑞拉并威胁格陵兰时，没有太多巨大的顺风，但主题上看多。 AVAV - 关于将研发类合同->长期合同的错误信息导致抛售，呈现了相当大的上行空间 BULL - 我喜欢像Robinhood, Webull等拥有大量零售用户的券商，因为一旦拥有客户群，就有无尽的变现方式。抛售回$8呈现了极具吸引力的上行空间 ETOR - 抛售过度，净利润同比高，基本50%现金，下行风险低。只需等待财报重估。他们表现也不错，AUM同比70%+，所以不明白为何这样定价。 VLN - 不再像以前那样接近1:1资产/净值，曾有一段时间他们有$1100万+投资(下跌63%)毛利率，$9300万现金，所以会更接近1.1-1.2亿 : $1.4亿市值，这说不通。话虽如此，仍有$8000万远期营收，毛利率从63%->69%，看起来重估机会相当大。市场似乎只是不喜欢与某国相关的公司如Etoro，我想 Nebius - $150亿Clickhouse估值仅显示了分部加总(SOTP)，我不惊讶他们的子公司如Avride最终会超越主营业务。话虽如此，由于$20亿+ ATM在公开市场出售，近期有卖压。随着他们在2026年底达到$70亿ARR目标，应会极速爬坡。 GLXY, CIFR, HUT, IREN, WULF - 继续做多colo及其他新云板块标的。话虽如此，大多数自2025年以来已上涨30-40%+，所以它们不再是强烈的买入，因为已被定价。但仍有很多上行空间。 存疑 VELO - 很多人问我对此的看法，因为FinX喜欢这只股票。他们有很酷的客户如SpaceX，但基本面看起来糟糕。 ~$1180万现金 + $1750万发行 vs. ~$2300万债务。他们几乎没有剩余跑道，现在买入的人可能会被稀释。 Velo是拥有像IQE(欧洲InP供应链)这样极佳客户群但基本面糟糕的完美例子。 SKYT - 它是美国本土制造供应链的极佳标的，用于量子组件或边缘等酷东西。受益于芯片法案，但营收增长非常缓慢。它比Velo是更好的投机性长线，因为基本面更好。 24%左右的低毛利率，非常低的运营利润率，显然已计入市值，但美国纯代工应是一个溢价的好故事。底线是增长不够快。 回避 UAVS - 无尽的稀释机器，超过100%的市值已给予可将对市值25%以下的股份100%+转换为零售出售的套利投资者 BKKT - $3亿ATM稀释，而市值为$5.5亿。无尽的稀释机器 沃尔玛 - 43倍市盈率，不可能。 SLNH - 前方有大量稀释。 Palantir - 担忧估值P/E Coreweave - 担忧巨额债务，$10亿+债务利息严重损害自由现金流。然后是OpenAI的分配/建设，如果考虑到Gemini正在接管OpenAI的市场份额，对其能否履行合同义务存在极度、极度的担忧。 Oracle - 可能有技术性反弹，但说真的，他们为OpenAI(如Stargate)花费了太多资本支出，像Coreweave一样，OpenAI在能否履行合同义务方面存在极度担忧 BMNR - 无尽的稀释机器为愚蠢的项目融资，如$2亿投入Mr. Beast的公司。预期长期ETH质押ETF，做空BMNR，溢价将消失，例如$2亿现金投入Mr. Beast的公司流动性很差。 IONQ, RGTI, QBTS - 量子估值非常拉伸。 _ 总体想法： 我个人保持极度做多，这只是个人想法，非投资建议(NFI)。 许多小盘股和投机性公司自1月1日以来已经重估，我不认为许多50-100%的涨幅会持续（周五我们看到这些标的中有很多获利了结）。 话虽如此，特朗普正试图进一步降息（再降息2-3次），特别是因为中期选举即将到来。 SPY上涨 = 当选几率更大。所以我会保持极度做多直到中期选举后。 话虽如此，这有助于成长、投机性公司等。但我们已经看到这在很大程度上已被定价，如我最喜欢的长线标的之一Rocketlab，季度营收$1.55亿却达到$450亿+市值，所以我开始质疑估值->将许多头寸转向更多价值型（如软件下跌或内存超级周期）。 主题上我极度看多 - AI, 内存, 半导体 - 瓶颈 - 关键材料等。 非常看多 - 美国本土制造供应链 看多 - 国防板块 并会寻找软件到社交媒体公司等的波段交易/复苏/重估机会，鉴于近期的抛售。
原推 ↗英文原文
Jan 25th Ratings. Post EU Tariffs and $INTC ER. Strong Buy: $SNAP $META Samsung Electronics SK Hynix $MU Unimicron $TSM $CRCL $AXTI $LPTH $COPX $LIT $AEHR $FORM $AMKR $AVGO $MRVL Buy: $COIN $SMCI $GOOGL $FIG $AMZN $IBIT $RDDT $TTD $HIMS $HOOD $COHR $AMBA $IREN $POET $AAOI $LASR $VPG $OSS $INTC $UMAC $ONDS $AIRO $DPRO $AVAV $BULL $ETOR VLN NBIS GLXY CIFR HUT WULF Questionable $VELO $SKYT Avoid $UAVS $BKKT WLMT SLNH $PLTR CRWV $ORCL $BMNR $IONQ , RGTI, QBTS _ Strong Buy Snapchat - Bottomed around $7.4, imo very strong at this level. Increased FCF from memory opex reduction and memory monetization into 2027. Just a waiting game for re-rating. Meta - 26% Y/Y revenue growth is extremely strong, produced $10B+ FCF last quarter. Expect it to pick up after next quarter earnings due to optics (700%+ Q/Q EPS optics) that caused selloff last time from BBB. Samsung Electronics - Holy grail for semis, samsung provides exposure to both hbm and foundry. SK Hynix - memory supercycle Micron - memory supercycle, but with US backing. Unimicron - unholy long for hbm, ic substrates, glass core, cowos, and all other bottlenecks. TSM - money printer, literally can't go wrong with this. Circle - 2-3x projected rate cuts would likely hurt circle net income a lot, hence why it's being priced in. But amazing long at $16B as they print money and should start seeing expansion of USDC. AXTI - LPTH: Bottlenecks for InP / Germanium, etc. Will be a huge theme going into 2026. It's just a waiting game for both supply chain disruption (in AXT) or made in America w/ black diamond in Lightpath. Low downside risk imo due to capacity ramp -> revenue increase, but moonshot HBM type price increases might be questionable. COPX - LI: Rare Earths/Materials like Copper, Lithium are great longs for 2026. Similar with bottlenecks above, supply chain disruptions from China will cause money to flow into securing supply + buildout out new supply chains. AEHR - Honestly, they sit in two different hot verticals in AI and Robotics. $5.5m Sonoma order might be linked with Micron and SiC Testing. Seems like an extremely good moonshot sub $1B MC. FORM - Likely to be important in US supply chains since they do DRAM/HBM, and Foundry/Logic. & Yield is especailyl important w/ hbm4. AMKR - extreme beneficiary of made in america us supply chains and tsm -> US AVGO - Large correction recently post earnings. Strong buy IMO at these levels given hyperscaler ASICs will continue to ramp (even though there's been some delays). MRVL - Same story with Broadcom, marvell selloff after rumors of Microsoft maia delays. It's just a waiting game for ~2x revenue in 2027 and when markets start pricing that in, and after celestial acqusition, they're doing great stuff in other segments like interconnects. Buy Coinbase - Recent correction to Crypto makes Coinbase value decent again at $57B. Was never a fan of their exchange portion, but providing infra for Blackrock IBIT etfs + USDC revenue sharing with Circle, gives Coinbase pretty good long term value. SMCI - Extreme selloff from the $60's+ back to $30's presents attractive opportunity here. Markets are extremely concerned about gross margins -> SMCI expanding overseas, especially with soverign AI + buying lower end nvda gpus. and SMCI's margins should increase over there. Also likely due to deals to become sticky w/ customers. It's not like they're dying revenue growth to $36B+. GOOGL - Gemini at this point would likely take over chatgpt, so i'd remain long google. Figma - Software selloff provides good opportunity into a lot of the hammered names like Figma which extremely high gross margins + sturdy growth Amazon - Basically same price as last year, they've been growing, AWS is doing fine, they're in robotics + space LEOs, and just seems like a great long going forward Bitcoin - Always an attractive Long Reddit - High valuations, but extremely high gross margins and not going anywhere since everyone uses reddit. TTD - Selloff from 2025 presents attractive valuations again HIMS - Honestly extremely attractive for me at $29, might be put into strong buy again, but of course revenue deceleration is very worrysome. Main alpha is that markets arent pricing in Zava acqusition and just from sheer customer base, they can derive a lot of revenue from new customers. Robinhood - Selloff from $140 back to $100 presents a good opportunity for Robinhood again. They're not going anywere, plus new product revenue expansion from banking + others, should present positive tailwinds. Coherent - Long US supply chains, esp. for photonics, inp, etc. AMBA - Moonshot long for edge AI inference for robotic ramps + edge compute. POET - Basically 1/2 cash now, backdoor into marvell + hyperscalers through celestial. Attractive upside at $6.8 given underwriters bought at $7.25 AAOI - long play tethered to msft maia and aws trainium. both of them haven't really taken off yet so it's just a waiting agme LASR - energy directed weapons are super cool. i dont quite like the fundamentals like low 20% revenue growth, but the technology is just way too cool. VPG - Long play tethered to optimus ramp. we should see industrial use cases EOY 2026 and consumer EOY 2027, so maybe optimus productions starts hitting balance sheet now or q2. OSS - Long play on defense sector and edge AI + $200m contract. INTC - long on us policy, earnings didn't really change any perspective, just short term price. UMAC - Great long play at these levels on drone manufacturing in US. ONDS, Airo, DPRO - Same with AIRO, DPRO, bullish on drone sector. There's not much of a massive tailwind compared to a few weeks ago when US was invading venezuela and threatening greenland, but thematically bullish. AVAV - selloff from misinformation about converting r&D type contracts -> long term contract presents considerable upside BULL - I do like brokerages like robinhood, webull, etc. that have a ton of retail users since there's endless ways to monetize once you own the customer base. selloff back to $8 presents attractive upsdie ETOR - selloff way overblown, high net income y/y, basically 50% cash, low downside risk. just waiting for re-rating per earnings. they're doing well too, 70%+ Y/Y AUM, so not sure why they're being priced in like this. VLN - not quite the same anymore as close to 1:1 assets/nav, at one point they had $11m+ inv (off 63%) gross margins, $93M cash, so would have been closer to 110-120m : $140m MC, which made no sense. That being said still $80m fwd revenue off 63% -> 69% gross margins, seems like considerable opportunity for re-rating. Markets just don't seem to like companies eg. Etoro related to a certain country, I guess Nebius - $15B clickhouse valuation just goes to show Sum of Parts, where I wouldn't be surpirsed if their subsidaries like Avride ended up overtaking the main business. That being said, near term selling pressure due to $2B+ ATM being sold on open market. Should ramp up extremely fast as they meet their $7B ARR target EOY 2026. GLXY, CIFR, HUT, IREN, WULF - Remain long on the colo, and other neocloud sector plays. That being said most are up 30-40%+ since 2025, so they're not exactly a strong buy anymore as they've been priced in. But lot of upside remains. Questionable VELO - Lot of people asked my opinion on this since FinX loves this stock. They have really cool customers like SpaceX, but fundamentals look terrible. ~$11.8M cash + $17.5M offering vs. ~$23M. debt. They barely have any runway left and people buying now are likely to be diluted. Velo is the perfect example of amazing customer base like IQE (EU for inP supply chain), but terrible fundamentals. SKYT - It's a great made in america supply chain company for a lot of cool stuff like quantum components or edge. Benefits from CHIP act, but very slow revenue growth. It's a lot better speculative long than Velo since it has better fundamenatls. Lower gross margins like 24%, very low operating margins, is obviously priced into MC but U.S. pure-play foundry should be a good story for premium. Bottom line are not really growing too fast though. Avoid UAVS - Endless dilution machine with over 100%+ of marketcap given over to arbitrage investors that can convert 100%+ of the shares under 25% market value to sell on retail BKKT - $300m ATM dilution right now while MC is $550m. Endless dilution machine Walmart - 43 p/e, there's no way. SLNH - Lot of dilution ahead. Palantir - Concern over valuation P/E Coreweave - Concerns over large debt, $1B+ in debt interest hurts FCF a ton. Then there's allocation/buildout for OpenAI, which has extreme, extreme concerns if they can fulfill contract obligations, especially since gemini is taking over market share of openai. Oracle - There might be technical rebound, but seriously, they've spent so much capex just for openai (eg. stargate), and like coreweave, OpenAI, which has extreme concerns over if they can fufill contracts obligations BMNR - endless dilution machine to fund silly projects like $200m into mr. beast's company. Expect long eth staking etfs, short bmnr plays, and premium to go under as $200m cash into mr. beast's company for example is not very liquid. IONQ, RGTI, QBTS - Quantum valuations are very stretched. _ Overall Thoughts: I'm personally staying extremely long, this is just personal thoughts NFI. A lot of small caps and speculative companies have already been re-rated since Jan 1st and I don't expect many of the 50-100% moves to continue (we've seen a lot of profit taking Friday on some of these names). That being said, Trump is trying to cut rates even more (another 2-3x projected), esp. since Midterms is coming up. SPY Up = better chance of getting elected. So I'm staying very long until after Midterms. That being said a lot of this helps growth, speculative companies etc. But we're already seeing this largely priced in like Rocketlab, one of my favorite longs, reaching $45B+ MC off $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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AEHR具登月潜力，Sonoma订单或关联MU HBM4，但尚无确凿证据。
@Lotharinvest 我了解 $AEHR，正如你所说，它具有“登月式”（moonshot）的结构（例如，最近 550 万美元的 Sonoma 订单与 $MU HBM4 16-high 资格认证阶段相符）。目前尚无确凿的关联证据。
原推 ↗英文原文
@Lotharinvest I’m aware of $AEHR, it has the structure of a moonshot (eg. $5.5M Sonoma order recently in line with $MU HBM4 16-hi qualification phase) as you mentioned. No confirmed links yet.
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看好欣兴电子，作为AI供应链关键瓶颈，受益于存储及先进封装需求。
我持有市场忽视的$MU相关头寸： 欣兴电子(Unimicron)。 这家市值160亿美元的公司是极佳的长线标的，因为它是以下领域的基础供应商： - $MU和三星的存储基板 - $NVDA的Rubin/Blackwell架构 - 台积电(TSMC)的CoWoS工艺 - 苹果（iPhone和M系列芯片） - 谷歌TPU - AMZN/超大规模云厂商的ASIC - 英特尔的ABF基板 - 购买欣兴基板的Amkor - 以及全球所有半导体。 欣兴电子是全球AI供应链中最显著的“瓶颈”之一，因为它提供面向2026-2028年的未来核心部件： - 用于HBM4/存储（DRAM/NAND）+ GPU/CPU的IC基板 - 台积电CoWoS中的“S”（基板） - 用于CoPoS的玻璃核心基板 以及当前iPhone等设备所需的所有基础部件。 它处于存储瓶颈、CoWoS瓶颈以及超大规模云厂商ASIC互连瓶颈的中心。 同时也涵盖未来周期的玻璃核心基板等。 AI围绕另一家Micron（欣兴）展开，你可以借此暴露于当今及未来最热门的瓶颈环节。
原推 ↗英文原文
I've hold positions in the $MU that markets sleep on: Unimicron. This one is an incredible long at $16B as they're foundational for: - $MU and Samsung memory substrates - $NVDA Rubin/Blackwell - TSMC for CoWoS process - Apple (iPhones and M-series) - Google TPUs - AMZN/Hyperscaler ASICs - Intel for ABF substrates - Amkor that buys Unimicron substrates - and all the world's semis. Unimicron is one of the most significant "choke points" in the global AI supply chain as they provide the future: - IC Substrates for HBM4 / Memory (DRAM/NAND) + GPUs/CPUs - The "S" (substrate) in TSM CoWoS - Glass Core Substrates for CoPoS for 2026-2028 and all the foundational parts for customer devices like IPhones and semiconductors used today. They're in the center of the memory bottleneck, CoWoS bottleneck, and interconnects bottleneck for Hyperscaler ASiCs. As well as the future cycles with Glass Core substrates and more. AI revolves around the other Micron and you get exposure to most popular bottlenecks like HBM today and tomorrow.
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澄清MRAM不属于英伟达或美光HBM4堆栈。
@Lotharinvest $MRAM 并不位于 $NVDA / $MU 的高带宽内存第四代(HBM4) 堆栈内部。
原推 ↗英文原文
@Lotharinvest $MRAM does not sit inside the $NVDA / $MU HBM4 stack.
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Rambus凭HBM4 IP高毛利躺赚三星等大厂，是潜力黑马。
是的，$RMBS 是一匹黑马。三星曾公开表示“Rambus HBM4 IP 解决方案的可用性至关重要”。 他们正趁着存储周期，从三星、SK 海力士和 $MU 身上获利，毛利率高达 81% 以上。 他们虽没有三大巨头那样的定价权，但利润应该只会源源不断。
原推 ↗英文原文
Yeah, $RMBS is a sleeper pick. Samsung went out and said "availability of Rambus HBM4 IP solutions will be critical". They're just profiting off Samsung, Sk Hynix, and $MU off during memory cycle with 81%+ gross profit margins. They don't quite get the same pricing power like the big three do but it should just print.
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梳理受益于美光及三星的HBM4供应链中小市值美股标的。
存储超级周期供应链要点： 受益于 $MU 和 SK/三星的美国冷门 HBM4/存储阿尔法标的： $VECO ($20亿) - 激光退火 $PLAB ($21亿) - 光刻掩模版 $ADEA ($21.8亿) - 混合键合 $ACLS ($29亿) - 离子注入 $FORM ($64.3亿) - HBM晶圆测试 $ONTO ($106亿) - 封装量测 $AMKR ($131亿) - 先进封装 $RMBS ($135.5亿) - 存储IP $MKSI ($149亿) - 激光子系统 未包含 $TER 和 $KLAC 等巨头，只想聚焦于知名度较低的标的。 还有一些间接受益者如 $SMTC 和 $MTSI。市场肯定尚未完全定价其中部分标的。 如果我漏掉了任何标的请告诉我。 只是想发布这些，以防你们对其中任何一只感兴趣。
原推 ↗英文原文
Memory Supercycle Supply Chain TLDR: US Sleeper HBM4/Memory alpha picks that benefit from $MU and SK/Samsung: $VECO ($2B) -Laser annealing $PLAB ($2.1B) - Lithography photomask $ADEA ($2.18B) - Hybrid bonding $ACLS ($2.9B) - Ion implantation $FORM ($6.43B) - HBM wafer testing $ONTO ($10.6B) - Packaging metrology $AMKR ($13.1B) -Advanced packaging $RMBS ($13.55B) - Memory IP $MKSI ($14.9B) - Laser subsystems Didn't include big players like $TER and $KLAC since just wanted to focus on lesser known ones. There's some indirect beneficiaries too like $SMTC and $MTSI. Markets definitely haven't priced some of these in yet. Let me know if I missed any. Just wanted to publish these in case you find any of them interesting.
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看好$RMBS，类比$ARM，高毛利且预期估值提升。
$RMBS 是个不错的选择，我持有该头寸。 这让我想起 $ARM，不过是针对高带宽内存(HBM)领域的，在散户眼中几乎无人问津。 它没有像 $MU 那样的定价权，但其向 SK 海力士、三星和美光授权的技术应该会带来丰厚回报。毛利率高得惊人。 我预计其估值倍数(Re-rating)在今年也会提升。
原推 ↗英文原文
$RMBS is a good shout, I have positions in it. Reminds me of $ARM but for HBM, pretty nonexistent in retail eyes. It doesn’t get the same pricing power like $MU but all its licenses to sk Hynix, Samsung, and micron should pay dividends. Gross margins are crazy high Id expect it to get rerated as well over this year
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对比沃尔玛与美光估值，强调基本面优于价格。
$WMT 的前向市盈率(Forward P/E)为 40.43 倍。 没错，就是沃尔玛，那个浴巾转售商，其营收同比增长 4.9%，仅与通胀持平。 $MU 的前向市盈率为 11.6 倍，营收同比增长 133%，每股收益(EPS)同比增长 319%。 美光(Micron)还有很长的路要走，仅看价格并非最明智的投资方式，因为基本面更为重要。 股票每天都在创历史新高(ATH)。
原推 ↗英文原文
$WMT trades at 40.43 forward P/E. Yes, Walmart the bath towel reseller that's growing revenue 4.9% Y/Y in line with inflation. $MU trades at 11.6 forward P/E growing revenue 133% Y/Y, and EPS 319% Y/Y. There's a long way to go for Micron, looking at prices alone is a not the brightest way to invest since fundamentals are more important. Stocks make ATHs every day.
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MU因国家安全护城河及低估值，是押注美国政策的最优多头。
人们很容易因认证风险或SK海力士产能爬坡及竞争而过度思考。 $MU拥有全球最深的护城河： 美国国家安全+“美国制造”供应链。 白宫+美国超大规模云服务商不会让$INTC或$MU失败。且其远期市盈率仅为11倍。 这是押注美国政策最轻松的多头机会。
原推 ↗英文原文
It's extremely easy to overthink things with qualification risk or Sk Hynix ramp + competition. $MU has the biggest moat in the world: US national security + Made in America supply chains. The White House + US hyperscalers won't let $INTC or $MU fail. And it's trading at 11 forward p/e. This is the easiest long on US policy.
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类比 Nvidia 历史，看好美光在 AI 存储超级周期中的重估潜力。
$MU 看起来是下一个 Nvidia。当 Nvidia 市值为 4000 亿美元（现超 4.5 万亿美元）时，市场认为 GPU 只是短期周期。如今的存储芯片也是如此。AI 打破了这一周期。凭借与 $INTC 相同的“美国制造”和白宫支持：不要对美光(Micron)想太多。
原推 ↗英文原文
$MU looks like the next Nvidia. When Nvidia was $400B (now $4.5T+), markets thought GPUs were a short-term cycle. Same with memory today. AI has broken that cycle. With the same "Made in America" and White House backing like $INTC: Don't overthink things with Micron. https://t.co/LBhbVjoKGz
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分析美光因本土优势及需求结构性转变的看多逻辑。
这只是一个针对 $MU 的极度简化的看多情景。当然也存在看空因素，例如 @MarkosAAIG 提到的 $NVDA Rubin 在 HBM4 认证方面的执行风险。$INTC 的逻辑与此类似，美光位于美国。美国政府可能对海力士/三星征收关税以推动本土使用，加上超 60 亿美元的赠款、数百亿美元的税收抵免，以及超大规模云厂商对本土供应链的需求，即使出现延迟，美光也拥有巨大优势。在需求端，他们 2026 年及 2027 年的订单已售罄。我认为这是一次结构性需求转变，而非周期性波动，尽管人们可以有不同的解读。
原推 ↗英文原文
So this is just an oversimplified bull case scenario for $MU. There's obviously bear cases too, one being HBM4 qualification execution risk for stuff like $NVDA Rubin that @MarkosAAIG mentioned. Similar thesis with $INTC here, Micron is in the US. US government likely tarrifs on hynix/samsung to push for domestic usage, $6B+ in grants, and tens of billions in tax credits, and hyperscalers wanting a domestic supply chain gives Micron a pretty big edge even if there's delays. As with the demand side, they're sold out for 2026 and into 2027. I see a structural demand shift, not a cycle this time around, people can interpret it differently though.
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TSM前董事长买入MU被视为看涨信号
@GVDInvestor 完全同意，上周$TSM 前董事长在公开市场买入 800 万美元的 $MU 是一个看涨信号。
原推 ↗英文原文
@GVDInvestor Completely agree, having the former chairman of $TSM buy $8m of $MU on the open market last week is a bullish tell.
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类比英伟达，认为美光科技第二波行情上涨预期强烈。
@Thomas_james_1 这让我想起了英伟达($NVDA)在市值攀升至4万亿美元以上时的情况，当时大家都觉得它会上涨。现在，美光科技($MU)在第二波行情中开始让人感觉如出一辙。
原推 ↗英文原文
@Thomas_james_1 Just reminds me of $NVDA during the rise to $4T+ valuation where everyone kinda knew it would go up. Now it’s starting to feel the same with $MU in round 2.
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不建议对美光进行择时交易，认为其估值仍有重估空间。
@davesetton 正如其他人所说，我个人不想对 $MU 进行择时交易。最终决定权在你，但在我看来，鉴于其远期市盈率(fwd p/e)仍为11倍，仍有大量的重估空间。
原推 ↗英文原文
@davesetton Like the others said i personally wouldn’t want to time the market with $MU. It’s your decision in the end but in my opinion there’s a lot of re-rating to do given its fwd p/e is still 11.
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美光估值偏低，机构逢低买入，目标价$672，2027年或达$1.5T市值。
$MU 远期市盈率仍约为 11.6 倍。 它正在预示： - 营收同比增长 133% - 每股收益(EPS)同比增长 319% 这就是所谓的存储超级周期(memory supercycle)的原因。 即使本月已上涨 40%+，它甚至尚未完全完成估值重估(re-rating)。 按当前价格，它仍被估值为一家缓慢增长的大宗商品公司，目标价 $387。 这就是为什么在估值重估过程中，每一次回调都被机构买入，因为高带宽内存(HBM)现在极具价值。 在我看来，鉴于当前的增长/利润率，美光(Micron)至少值得 20 倍远期市盈率，市值约 7500 亿美元，即每股 $672。 到 2027 年，如果美光交易在 1.5 万亿美元市值，我不会感到惊讶。
原推 ↗英文原文
$MU forward P/E is still ~11.6 It's projecting: - 133% Y/Y Revenue Increase - 319% Y/Y EPS Increase This is called the memory supercycle for a reason. Even after a 40%+ this month, it's still hasn't even been fully re-rated yet. At current prices, it would still be valued like a slow growth commodity at $387. This is why every single dip gets bought by institutions during the re-rating process, since HBM is now extremely valuable IMO Micron deserves at least a 20 fwd P/E at today given growth/profit margins, ~$750B so $672/share. In 2027, wouldn't be surprised if Micron was trading at $1.5T.
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半导体板块分化，部分厂商因OpenAI诉讼风险受市场重估。
@8l8220656450 半导体板块整体没问题。只是某些供应商与 OpenAI 深度绑定，而许多其他公司如 $TSM 到 $MU 则相对独立。我确实看好 Elon，但我们将看到市场如何定价影响 OpenAI 关联公司的诉讼。
原推 ↗英文原文
@8l8220656450 Semiconductor space will be fine. Just certain vendors are heavily tethered toward OpenAI while many others like $TSM to $MU are more isolated. I do like Elon, but we'll see how markets price in the lawsuit impacting OpenAI relational companies
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Alpha源于发现市场盲区，等待机构验证即已错过最佳时机。
没错，和 $VLN 一样。最大的利润来自于发现别人未发现的机会。 我觉得大家都在抱怨“为什么在它涨400%之前你不告诉我”，就像 $MU 那样在顶部蜂拥而入。 然后当我在早期发布像 $AIRO、$AXTI、$OSS 或 $VLN 这类内容，而它们下周就上涨50%+时，他们又抱怨。 散户认为 $AXTI 是某种随机的“拉高出货(pump and dump)”股票，但在其上涨100%+后，现在有了机构验证。 再说一次，超额收益(alpha)来自于发现大多数市场忽略的东西。等到机构告诉你买入时，你就已经错过了。
原推 ↗英文原文
Yep, same as $VLN. The most money to be made is when you discover things others don't. I feel like everyone complains about "Why didn't you tell me about this stock before it went up 400%" as people pile on at the top like $MU. Then complain when I post about stuff like $AIRO, $AXTI, $OSS, or $VLN at the start and they go up 50%+ the next week. Retail thinks $AXTI is some random pump and dump stock, but now you have institutional validation after a 100%+ move. Again, alpha is when you discover things majority of markets miss. You miss out by the time you wait for institutions to tell you to buy.
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Craig-Hallum上调AXTI评级至买入，看好其InP垄断地位带来的重估潜力。
最新消息：Craig-Hallum 将 $AXTI 评级上调至“买入”，目标价 $26，涨幅 160%。 他们指出 AXT 受益于“三重动态”，即： - 限制竞争对手（住友、JX） - 同时在 Northland 融资后增加产能。 被《华尔街日报》评为第一的半导体分析师 Shannon 预计 AXT 2028 年每股收益为 $0.75，假设 AXT 是“正常”成长股，给予 30 倍估值。 关键国防/AI 供应链（如 Heico 或专业芯片公司）通常交易在 50-60 倍，这将使 $AXTI 目标价达到 $37.50（作为成长股）。 然而，如果“供应冲击”论点成立且 $AXT 成为战略垄断者，其估值逻辑将像 $MU 或 Sandisk 一样彻底重构，我们可能会看到大幅重估。 这是一种“阶梯式”估值，分析师通常会逐步上调目标价。如果 $AXTI 下周涨至 $28，他可能会发布新报告将其上调至 $32。 机构正在验证这一论点，但在价格和 X 上的 alpha 上均落后。
原推 ↗英文原文
Just in: Craig-Hallum re-rates $AXTI to "Buy" with a $26 price target, a 160% increase. They stated AXT benefits from a "trifecta of dynamics" that put: - constraints on competitors (Sumitomo, JX) - while increasing capacity after Northland's Capital raise. Shannon, ranked as the #1 Semiconductor Analyst on WSJ, pegs AXT at $0.75 EPS by 2028, applying a 30x multiple by assuming AXT is a "normal" growth company. Critical defense/AI supply chains (like Heico or specialized chip firms) can easily trade at 50x-60x, which would set $AXTI at a $37.50 PT (for a growth company). However, if the "Supply Shock" thesis holds and $AXT becomes a strategic monopoly, the math completely breaks like $MU or Sandisk, and we might see a massive re-rating upward. This is a "Step-Ladder" valuation, analysts typically walk the target up. If $AXTI goes to $28 next week, he will likely issue a new note raising it to $32. Institutions are validating the thesis, but are trailing both the price and alpha on X.
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质疑沃尔玛40倍市盈率的合理性，认为其增速不及台积电和美光。
谁能告诉我为什么沃尔玛(WMT)的市盈率(P/E)高达40？ 这个宝可梦卡牌和毛巾的倒卖商，难道应该比$TSM (33)和$MU (32)增长得更快吗？ https://t.co/kR3v3PQP13
原推 ↗英文原文
Can anyone tell me why Walmart has a P/E of 40? Is this Pokemon Card and Towel reseller supposed to be growing faster than $TSM (33) and $MU (32)? https://t.co/kR3v3PQP13
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$AXTI因出口管制成InP垄断者，控制AI光子学双瓶颈，作者买入。
为了提供一些背景：存在两个不同的瓶颈，$AXTI 正处于这两个瓶颈之间。 磷化铟(InP) 原料——双寡头垄断（至关重要，$AXTI 与中国控制着约 78%-80% 的供应）。像 $DOWA 这样的公司相对产量极低。 磷化铟(InP) 衬底——垄断（$AXTI）。此前是双寡头（$AXTI 和住友电气 Sumitomo Electric），占据 60-70% 的 InP 衬底产量，其他日本公司如 JX 贡献的量微乎其微。然而，两天前实施的出口管制限制了向住友及生产 InP 衬底的日本公司供应原料和关键材料，情况发生了改变。 他们虽有库存，但随着出口管制持续，他们将缺乏大规模生产衬底所需的材料，$AXTI 将在 3-6 个月内成为垄断者，这就是上述框架的由来。 这不是数量游戏。这是基于有限材料的价格挤压博弈论。$AXTI 拥有从矿产开采、精炼到衬底生产的全链条供应链及成本结构。 这将转化为利润率。你之前看到的是数亿美元的市场规模(TAM)，现在仅因 $GOOGL TPU、$MSFT Maia、$NVDA、$META 等光子学 AI 建设所需的纯粹必要需求，就可能膨胀至 100 亿美元以上。 这家市值 10 亿美元的公司控制了 AI 建设的两个不同瓶颈。我像早期在 HBM 领域买入 $MU 和 $SNDK 那样买入瓶颈环节，我不试图说服你也这样做，只是分享我的投资论点。
原推 ↗英文原文
Just to give some perspective: There's two different bottlenecks. $AXTI sits in the middle of two. InP Feedstock - Duopoly (Vital, $AXTI with China controlling ~78%-80% of supply). Companies like $DOWA produce extremely low amounts relatively. InP Substrates - Monopoly ( $AXTI ). Formerly it was a duopoly ( $AXTI, Sumitomo Electric) with 60-70% of InP substrate production. With misc Japanese companies like JX contributing much tinier amounts. However this changed with export controls 2 days ago restricting feedstock and critical material supply to Sumitomo and Japanese companies that produce InP substrates. They have inventory, but with the export controls continuing, they will lack the materials to produce substrates at scale and $AXTI becomes the monopoly in 3-6 months, hence the framing. This is not a quantity game. This is game theory on price squeezes based on limited materials. $AXTI owns the mineral mines all the way to refining -> substrate production and the supply chain + cost structure. This translates into margins. You were looking at few hundred million TAM that could now inflate to $10B+ just due to pure necessary required for $GOOGL TPUs, $MSFT maia, $NVDA, $META, and so no AI buildout with photonics. This $1B company controls two different bottleneck for the AI buildout. I'm buying into the bottleneck like what happened at the start with HBM with $MU and $SNDK, I'm not trying to convince you to as well, just sharing my thesis.
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HBM 瓶颈导致传统建模失效，磷化铟成新瓶颈，$AXTI 因卡位 AI 建设具极高价值。
当出现像 $MU 或 SK 海力士的 HBM（高带宽内存）这样极不常规的瓶颈时，诸如 NTM（下一财年）这样的标准建模就会失效。目前 HBM 的需求极度缺乏弹性，买家不再询问价格，即使在价格飙升数百%后，他们仍在寻求配额分配。在这种情况下，基于 $NVDA 2025 年上半年 EML（边缘机器学习）的现有短缺，以及 $MSFT 等公司仅其项目就需要全球两位数的磷化铟(InP)产量（针对 2026 年下半年至 2027 年），$AXTI 很可能在接下来几个月成为下一个瓶颈。因此，当 $GOOGL 等超大规模云服务商为避免 TPU 项目停滞而迫切寻求配额时，原本数亿 TAM（总可寻址市场）可能迅速膨胀至数十亿甚至上百亿，这使得对瓶颈的建模变得不可能。这本质上是买入“比特分配”、原料控制和瓶颈环节。一家市值 13 亿美元的公司卡住了整个 AI 建设的脖子，在我看来很便宜。我不知道这会走向何方，但我预计会出现极大的价格挤压（我们在 SMM 上已看到迹象），这将增加 $AXTI 的底线利润。许可证波动一直是一个风险因素。但同样，任何延迟都会因为这是单点故障而卡住整个 AI 建设，前提是如果中国继续对日本实施出口管制。
原推 ↗英文原文
Standard modeling like NTM breaks when there's extremely unconventional bottlenecks like HBM with $MU or Sk Hynix. HBM demand is so inelastic rn that buyers aren't asking for price, they're asking for allocation even after hundreds of percent increases. And in this case InP and $AXTI will likely be the next bottleneck in the upcoming months, just based on existing shortages from $NVDA EML H1 2025 and how others like $MSFT require the world's double digit inp output just for their program for H2 2026 into 2027. So it's impossible to model bottlenecks where few hundred million TAM previously might squeeze to few billion or tens of billions when hyperscalers like $GOOGL are desperate for allocation so their TPU program doesn't stall out. This is buying into bit-allocation, feedstock control, and bottlenecks. A $1.3B company bottlenecking the entire AI buildout looks cheap to me. I don't know where this is heading, but I do expect an extremely large price squeeze (we're seeing it now on SMM), which just increases the bottom line of $AXTI. License volatility was always a risk factor. But again, any delays would just bottleneck the entire AI buildout since this is single point of failure if China continues their export controls on Japan.
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作者对比了CRDO的抄底难度与SNDK/MU的持有策略，并提及AIRO反弹案例。
谢谢，不过 Credo 对我来说更多是个人交易标的。但当走势像“飞刀”时（$CRDO 上月以来下跌超 35%），真的很难抄底。相比之下，全仓转入 $SNDK 和 $MU 然后不动它要容易得多。像 $AIRO 这种看似“飞刀”的标的后来反弹了 48%，所以如果操作得当，抄底其实很赚钱。不过我们得看看我的解读是否正确，我很享受用市场来测试自己的理论。
原推 ↗英文原文
Thanks, Credo is personally more of a trade for me though. But it's really hard to time the bottoms when things look like a falling knife ( $CRDO down 35%+ since last month). Much easier to just full port it into $SNDK and $MU and just not touch it. Stuff like $AIRO looked like a falling knife too then recovered 48%, so bottom catching is quite profitable if done right. We'll see if my interpretation is correct though, I have a fun time testing my own theories against the markets.
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中国出口管制致AXTI垄断InP衬底，成AI基建新瓶颈
英伟达CEO今日表示“内存瓶颈严重”。SK海力士($330B)、美光($MU, $355B)、三星($595B)。等着看当大家发现整个AI基础设施建设将被微小的$AXTI ($1B) 瓶颈化时，每个人的表情吧，尤其是在中国新的出口管制之后。
原推 ↗英文原文
Nvidia CEO said today that the “Memory Bottleneck is Severe” SK Hynix ($330B) $MU ($355B) Samsung ($595B). Wait and see the look on everyone’s face when they find out the entire AI buildout will be bottlenecked by the tiny $AXTI ($1B) after the China’s new export controls. https://t.co/iw6Nhitsry
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FinX社区5天收益超Citadel全年，2025年大幅跑赢机构。
“FinX 对决华尔街”报告 这是 FinX 15，由最受欢迎的标的组成的加权组合： 1. $ONDS +33.26% 2. $SKYT +27.46% 3. $TE +22.62% 4. $MU +13.98% 5. $ASTS +13.24% 6. $BMNR +12.24% 7. $IREN +11.19% 8. $CIFR +8.64% 9. $AXTI +7.56% 10. $KRKNF + 7.69% 11. $NBIS +5.93% 12. $POET +5.81% 13. $RKLB +2.67% 14. $HOOD -.31% 15. $ZETA -2.36% 以下是 FinX 上周的表现： FinX 15 回报率（1周）：11.3% 2025 全年表现： - WallStreetBets = +76.00% - Bridgewater 的 Pure Alpha II = +34% - ARKK 创新 ETF = +35.5% - Perishing Square = +25.3% - SPY 指数 = +17.72% - Poinpoint 多策略 = +11.6% - 伯克希尔·哈撒韦 = +11.4% - Millennium Management = +10.5% - Citadel = +10.5% 结论： 仅在 5 个交易日内，FinX 社区就击败了 Citadel 的全年收益。 进入 2026 年，我们正式碾压了机构。
原推 ↗英文原文
"FinX vs Wall Street" report This is FinX 15, a weighted port of the most popular names: 1. $ONDS +33.26% 2. $SKYT +27.46% 3. $TE +22.62% 4. $MU +13.98% 5. $ASTS +13.24% 6. $BMNR +12.24% 7. $IREN +11.19% 8. $CIFR +8.64% 9. $AXTI +7.56% 10. $KRKNF + 7.69% 11. $NBIS +5.93% 12. $POET +5.81% 13. $RKLB +2.67% 14. $HOOD -.31% 15. $ZETA -2.36% Here's how FinX did last week: FinX 15 Return (1-Week): 11.3% For the entire 2025 calendar year: - WallStreetBets = +76.00% - Bridgewater’s Pure Alpha II = +34% - ARKK Innovation ETF = +35.5% - Perishing Square = +25.3% - SPY Index = +17.72% - Poinpoint Multi-Strategy = +11.6% - - Berkshire Hathaway = +11.4% - Millennium Management = +10.5% - Citadel = +10.5% The Bottom Line: In just 5 trading days, the FinX community beat Citadel’s entire year. We are officially smoking the institutions entering 2026
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2026年1月1日美股评级：推荐SMCI、INTC等复苏及AI基建标的，回避高估量子及零售股。
欢迎来到2026年。1月1日评级： 强烈买入： $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR 三星电子 (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL 买入： $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK海力士 $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB 回避： $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ 简而言之的想法： TTD - 估值完全重置，年初至今下跌67%，叠加年底税务抛售。进入2026年是极佳的复苏标的。 SMCI - 仅因推迟一个季度以符合新Blackwell规格而交易得像一家困境公司。前瞻收入同比增长50%，市销率(P/S)接近0.5。税务收割后的极佳复苏标的。 AIRO - 资产负债表约1/6为现金。随着政府加速投资，无人机领域备受追捧。另一只被抛售的IPO新股。进入2026年，尤其在热门细分领域，是极佳的复苏标的。市销率约3.8倍，相比ONDS的25-30倍市销率，当然其教育等业务对利润率计算有很大干扰。 INTC - 它实际上已成为美国政府的半导体臂膀。超大规模云厂商很可能被激励（强烈施压）在有机会时优先使用Intel而非TSM、三星等。我不会赌美国政府会输。 HIMS - 进入2026年前大幅抛售。从70多美元下跌。销售/流量下降，但Zava收购/增长应在2026年带来巨大顺风。尤其是有数亿美元回购，前两个月是强劲的复苏标的。 AXTI - 之前发过相关论点。CEO称“40%的磷化铟(InP)供应链”，InP将是2026-2027年超大规模AI建设中的巨大瓶颈，直到2028年有足够时间通过工程手段绕过它。 TSM - 我引用过很多次。利润率提升。需求最大化。未来几年极好的复利增长者。 三星电子 - 受益于代工/存储。在所有顺风助力业务方面简直是金蛋。 NBIS - 极强买入，$7-90亿年度经常性收入(ARR)，它实际上是5家不同公司，每年三位数增长。管理层引用20-30%息税前利润(EBIT)率，这只是等待游戏。 CIFR, HUT, IREN, WULF, GLXY - 整个数据中心板块在Oracle/OpenAI担忧后极度超卖。OpenAI最近融资$400亿，$AMZN再投$100亿等。因此关于资本支出(Capex)的担忧已大幅降低风险。这也是多方面的，例如比特币下跌影响$CIFR资产负债表，$GLXY在加密领域。但总体而言，新云(neoclouds)板块有巨大的复苏/扩张潜力。 TSSI - 类似SMCI。递延收入=核弹级利空。税务收割后应恢复，且大量收入将被确认。 META - 财报后因一次性税务问题遭遇巨大算法抛售。他们还削减了现实实验室等部门的资本支出/运营支出，这应为2026年的每股收益(EPS)带来巨大顺风。 ETOR - 市值$28亿，坐拥$12亿现金，仍保持双位数同比增长。$1.5亿回购应是不错的顺风，且年初至今表现带来的税务收割效应应会消退。 CRCL - 稳定币论点在2026年应非常稳固。 买入 KRKNF - Anduril合作伙伴+规模。2026年可能转板，国防支出带来大量顺风。 ONDS - 收入增长极具爆炸性，到处都有新的$1000万合同。大量现金余额资助研发。市销率很高，但该领域的投机性领导者如RKLB有估值溢价。 GEMI - 通常我不喜欢交易所，但Gemini从$30+ IPO跌至$10以下。极佳的复苏标的。 NVDA - 巨大的积压订单。大家都知道Nvidia的牛市逻辑。 MU - 存储火热。 SK海力士 - 存储火热。 AMKR - 受益于“美国制造”芯片生产扩张。 SNAP - 存储运营支出削减，存储货币化增加收入，Perplexity贡献$4亿。季度收入$15亿。如果他们将所有这些转化为$10亿+自由现金流(FCF)/年，即使收入完全停止增长，也会完全重估Snap。 RDDT - 说实话，未来10+年不会消失。它是社交媒体界的Robinhood，通过新的收入货币化方式极速增长，且极其盈利。 AAOI - Amazon, MSFT ASIC规模化的互连标的。 COHR - 受益于下一代ASIC的光子学部署。 FISV - 财报后抛售过多，税务收割后是强劲的复苏标的。 FLY - SpaceX IPO带动太空领域火热。税务收割结束后应表现良好，且即将有Northrop的中期催化剂。 DJT - 我从没想过会把它放在这里，但这只是因为他们的TAE合并。 LITE - Google TPU部署带来巨大的物料清单(BOM)，估值有吸引力。Google TPU修正预估后轻微抛售，但它基本存在于每个超大规模ASIC部署中。 AMZN - 七大科技巨头中估值不过高的一个。 MRVL - 分析师误导导致抛售，进入2026年强烈买入。尤其是MSFT Maia收入翻倍时，Marvell当前收入也将随之增长。 AVGO - 像NVDA一样，随着AI基础设施部署加速，强劲的长期持有标的。 OSS - 我曾发帖推测他们是Anduril的供应商之一。但无论如何，边缘计算在2026年将很火热，其1.8亿市值呈现有吸引力的上行空间。 BULL - 类似Robinhood，拥有巨大用户群，但他们只需找出货币化方法。 Oracle - 我认为抛售过多。几个月前我将其列入回避，但从$330跌至$190后，尤其在OpenAI再融资$400亿后，再次具有吸引力。 CRDO - 极高利润率，数据中心部署所需的必要连接。 ALAB - 极高利润率，数据中心部署所需的必要连接。 回避： 有很多在“高估名单”上的东西，比如$RKLB，我喜欢但除了这些之外我不会说回避它们。 RGTI, QBTS, RGTI - 量子名称仍然高估，且可能在未来几年无法交付自由现金流。 BMNR, ETH - 如果你看过我的ETH帖子，我不太看多，因为每天ETH燃烧量只是个位数到低双位数，这简直是笑话。 PLTR - 最被高估的AI名称之一。 WMT - 这怎么是40倍市盈率？这是沃尔玛？ __ （这些基于今日价格） 简而言之： Circle, Etoro, AIRO, Klarna, Figma等IPO名称在下跌+税务收割后进入2026年呈现有吸引力的上行空间。 大量如SMCI, HIMS等过去3个月下跌约40%的名称，在税务收割+一月效应后是极好的波段/复苏交易标的。 许多如FiserV或The Trade Desk等暴跌的名称在税务收割后也是良好的复苏交易标的。 许多数据中心股票如nebius, iren, cifr, wulf, galaxy也是极好的复苏交易标的。 许多其他领域如存储、瓶颈、光子学等在2026年只是极好的长期持有标的，尽管各自都触及历史新高。 仍有相当多高估的名称，从量子到某些太空股票（如planet或rocketlab），特定AI名称如Palantir到零售股票如沃尔玛，我可能会暂时回避，直到有轻微回调。 这只是一个简而言之，如果我仅做短期交易（非长期），但欢迎提问。
原推 ↗英文原文
Welcome to 2026. Jan 1st ratings: Strong Buy: $TTD $SMCI $AIRO $INTC $HIMS $AXTI $TSM $NBIS $CIFR Samsung Electronics (KRX: 005930) $HUT $IREN $WULF $GLXY $TSSI $META $ETOR $CRCL Buy: $KRKNF $ONDS $GEMI $NVDA $MU $AMKR SK Hynix $SNAP $RDDT $AAOI $COHR $FISV $FLY $DJT $LITE $AMZN $MRVL $AVGO $OSS $BULL $ORCL $CRDO $ALAB Avoid: $RGTI $QBTS $RGTI $BMNR $ETH $PLTR $WMT _ TLDR thoughts: TTD - Complete valuation reset dropping 67% YTD, compounded by EOY tax sell-off. Great recovery play going into 2026. SMCI - Trades like distressed company just because they delayed revenue by 1 quarter for new blackwell specs. Forward revenue is increasing 50% Y/Y, P/S close to .5 now. Great recovery play from tax harvesting. AIRO - Roughly ~1/6th balance sheet was cash. Everyone seems to be into drones, especially with accelerated gov inevstments. Another IPO name that got sold off. Great recovery play going into 2026 with esp. hot segment. Roughly ~3.8x P/S compared to ONDS trading at 25-30 P/S, but obviously there's quite a lot of other businesses like their education sector which messed up margin calculations quite a bit. INTC - It's literally become the semi arm of the US government. Hyperscalers will likely be incentived (strongly pressured) to use Intel whatever chance it gets over TSM, Samsung, etc. I would not bet against the US government. HIMS - Huge selloff going into 2026. Down from $70's. Sales/Traffic is down, but Zava acquisition/growth should add a huge tailwind going into 2026. Esp. with few hundred mill buybacks, strong recovery play first two monts in. AXTI - Posted thesis on this earlier. CEO - "40% of Inp supply chain", InP will be a huge, huge bottleneck for hyperscaler AI buildout 2026-2027 until there's enough time to engineer around it in 2028. TSM - I've covered this quote a lot. Increasing margins. Maxed out demand. Just extremely good compounder next few years. Samsung Electronics - benefits from foundry/memory. just golden egg regarding all the tailwinds helping the buisness. NBIS - Extremely strong buy, $7-9B ARR, it's literally 5 different companies growing triple digits Y/Y. management quoted 20-30% EBIT margins, it's just a waiting agme. CIFR, HUT, IREN, WULF, GLXY - Whole datacenter space is extremely sold off after Oracle/OpenAI fears. OpenAI recently raised $40B, another $10B from $AMZN, and more. So a lot of fears regarding capex spend has been de-risked. It's multifaceted too, eg. Bitcoin drop, affects $CIFR balance sheet, $GLXY in crypto space. But generally huge recovery play/ramp for neoclouds sector. TSSI - Similar to SMCI. deferred revenue = nuke. Should recover after tax harvesting + lot of revenue gets recognized META - Huge algorithmic selloff post earnings due to one-time tax. They also cut capex/opex spend of their reality labs and other departments and this should be a huge tailwind for EPS going into 2026. ETOR - Literally sitting on $1.2B with a $2.8B marketcap and growing double digits Y/Y still. $150M buyback should be a nice tailwind, and tax harvesting from YTD performance should subside. CRCL - Same as stablecoin thesis should be really solid going into 2026 Buy KRKNF - Anduril partner+ scale. Probable uplisting in 2026, lot of tailwinds from defense spending. ONDS -pretty explosive revenue growth, new $10m contracts left and right. large cash balance to fund r&d. Pretty high p/s but there's valuation premiums for speculative leaders in the space like rklb. GEMI - So i typically dont like exchanges, but gemini got nuked from $30+ IPO sub $10. pretty solid recovery play. NVDA - Huge backlog lol. Everyone knows bull case for nvidia MU - Memory is hot SK Hynix - Memory is hot AMKR - benefits from "made in america" chip expansion in prod. SNAP - Opex Cut from memory, increase revenue from memory monetization, $400m from perplixity. $1.5B revenue/quarter. They could literally stop growing revenue complelty if they convert all of that to $1B+ FCF/year, it would re-rate snap completly. RDDT - This is not going anywhere for the next 10+ years tbh, it's like robinhood of social media, growing extremely fast from new ways to monetize revenue, and just extrmeely profitable. AAOI - interconnect play for amzn, msft asic scale up. COHR - benefits from photonics rollout for next gen asics. FISV - Nuked a bit too much post ER, strong recovery play esp. post tax-harves.t FLY - Space is hot from SpaceX IPO. Should do well given tax harvesting is over, and they have medium lift coming up with northrop. DJT - I never thought i'd put this here lol, but this is just because of their TAE merger. LITE - Large BOM from Google TPU rollout, attractive valuation. Slight selloff after Google TPU revised est. but it's basically in every single hyperscaler asic deployment. AMZN - one of the mag7 that's not overvalued MRVL - Selloff from analyst misinformation, strong buy going into 2026. Especially with msft maia revenue doubling Marvell's current revenue when it ramps up AVGO - Like NVDA just strong long, as AI infrastructure deployment ramps up OSS - I made a post speculating that they're one of andruils' suppliers. but regardless, edge computing will be hot 2026 and its 180m mc presents attracctive upside. BULL - similar to robinhood where they have a huge userbase, but they just need to figure out monetization Oracle - Sold off a bit too much imo. I put this on avoid months ago but after the from from $330 to $190, it's more attractive again esp. after openai raised another $40B CRDO -extremely high margin, necessary connectivity for dc rollout ALAB - extremely high margin, necessary connectivity for dc rollout Avoid: There's a lot of stuff on the "overvalued list" like $RKLB that i like but I wouldn't quite say avoid it either aside from these. RGTI , QBTS, RGTI - Quantum names are still overvalued and likely won't deliver fcf in the next few ytears. BMNR, ETH - if you saw my eth post, not exactly bullish since the amount of ETH burn is just single-low double digits every day, which is a joke. PLTR - one of the most overvalued ai names WMT - How is this 40 p/e? This is Walmart? __ (these are based on today's prices) TLDR: IPO names like Circle, Etoro, AIRO, Klarna, Figma, present attractive upsides post drop + tax harvesting going into 2026. Tons of names like SMCI, HIMS that dropped 40% or so past 3 months, are amazing swing/recovery trades post-tax harvest + Jan effect. Lot of the names that doom dropped like FiserV or The Trade Desk present good recovery trades too post-tax harvest. Many datacenter stocks like nebius, iren, cifr, wulf, galaxy, are amazing recovery trades too. Lot of other segments like memory, bottlenecks, photonics, and others are just great longs in 2026, despite each hitting ATHs. There's still quite a lot of overvalued names from Quantum, to certain Space stocks (eg. planet or rocketlab), specific AI names like Palantir to retail stocks like Walmart that I would probably avoid for the time being until there's a slight correction. This was a TLDR just if I'm short term trading-only (not long term) but feel free to ask questions.
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分析InP供应链瓶颈，指出AXT受益于垂直整合，需求总体仍超供应。
我理解你的观点是基于仅看中国国内市场，而未考虑西方AI的扩张。两点如下： 一是整体需求的极端增长。即使有6英寸磷化铟(InP)晶圆，超大规模云服务商(Hyperscaler)的需求仍将超过供应。因此，无论是否存在竞争性替代品，需求不会消失，但可能会分散到中国国内市场的竞争者中。 二是垂直整合。你提到了西方阵营的$DOWA，特别是磷化铟(InP)领域。$AXTI控制了全球绝大部分的InP供应。如果超大规模云服务商为保险起见直接高价采购，再转交给$COHR，那么这对住友电工(Sumitomo)来说问题更大。而AXT则从这两层瓶颈中受益。新耀/JFS进入供应链只是增加了参与者，并非末日景象。例如存储领域（SK海力士；MU，三星）。 当然，如果中国实施出口管制，我们仅看中国国内市场，上述观点可能失效。但总体而言，即使增加更多参与者，需求仍超过供应（例如COHR已满产）。
原推 ↗英文原文
I can see that if you look at China domestic markets only but not western AI ramp. So two things: One is extreme ramp in general. Hyperscaler demand will always outstrip supply even with 6-inch InP wafers. So competitive alternative or not, demand doesn’t disappear but might get spread out through competitive alternatives in China’s domestic market. The other is vertical integration. You mentioned $DOWA on the western side and especially InP. $AXTI controls a huge percent of the world’s InP supply and if those prices gets jacked up from hyperscaler buying direct for insurance-> handing them to $COHR, then it’s more of an issue for Sumitomo. And AXT benefits from both layers of the bottlenecks. Xinyao/JFS entering the supply chain just makes adds one more player to the equation so it’s not doom and gloom. Eg memory (sk Hynix; MU, Samsung) Of course these points might get thrown out the drain if China export controls and we’re looking at China domestic market only. But generally demand outstrips supply (eg. COHR is at max) even if we add in more players.
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三星遭中方窃取存储芯片机密，恐被逐出中国市场，处罚力度引争议。
哇，中国知识产权间谍活动并非新鲜事，但这一事件对三星以及美国/韩国而言简直是灾难性的。窃取全球最先进存储芯片的秘密，然后交给中国国有背景的公司……随后很可能将三星/美光切断出中国国内市场。对于这10名被起诉者，即使只有丝毫牵连，终身监禁作为威慑都不足以构成惩罚。如果他们10年后出狱还能拿到5000万美元的薪水，那这就足以激励这些人继续盗窃。
原推 ↗英文原文
Wow, Chinese IP espionage is not new but this one just catastrophic for Samsung and US/Korea. Stealing secrets of the world's most advanced memory chips then handing them over China’s state backed company…. Then likely cut off Samsung/Micron from China’s domestic market. Maximum life in prison for deterrence isn’t even enough of a punishment for this, from the 10 indicted, even with an iota of involvement. If they get out of jail 10 years later with a $50M paycheck, then that’s incentive enough for these people to continue theft
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澄清AXTI风险，探讨InP衬底瓶颈下的估值逻辑。
所以我并不主张买入 $AXTI，因为中国供应链存在重大风险，我只是在澄清一些误解。 如果一只股票“已经涨过了”，重要的是要区分它是否比以往任何时候都便宜，即使在历史高点(ATH)时也是如此。 看看 $MU 的前瞻市盈率(Forward P/E)，我上次查的时候即使在历史高点也小于10。 如果磷化铟(InP)衬底价格因为极端瓶颈而像内存一样翻三倍甚至十倍（鉴于它以前被当作廉价的电信商品定价），它是已经涨过了，还是看起来比以往任何时候都便宜？ 如果一家市值7亿美元的小公司现在成了AI增长周期的单点故障(Single Point of Failure)，因为我们已经触及了InP衬底的天花板，你会如何给它估值？500%的涨幅足够吗？
原推 ↗英文原文
So I’m not advocating for buying $AXTI since there’s significant risks with China supply chains but just clearing up misconceptions. If a stock “already-ran” it’s important to differentiate if the stock is cheaper than ever, even at ATHs. Just look at $MU forward p/e which is <10 last I checked even at ATHs. If inp substrate prices triple or even 10X (given it was priced like a cheap commodity for telecom) like memory because of an extreme bottleneck, did it already run or does it look cheaper than ever? If a $700m tiny company is now the single point of failure for the growth-cycle of AI we’ve hit the ceiling of InP substrates, how would you value it? Is a 500% increase enough?
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AI供应链向光子学转型，INP基板双寡头垄断构成严重瓶颈。
HBM（高带宽内存）在2025年是一个关键瓶颈，我们从$MU和SK海力士身上看到了这一点。 正在研究未来超大规模云计算厂商ASIC（专用集成电路）部署所使用的组件，整个行业正在向光子学（Photonics）转型。 如果我们深入该供应链的底层，用于INP（绝缘体上铟磷）基板的供应商只有两家公司。想到这一点真是荒谬。 对于像$AXTI这样的公司来说，这可能是一个巨大的市场机会，但仅从国家安全风险的角度来看，这是一个需要被审视的疯狂瓶颈。虽然有像$COHR这样的公司，但远未达到AI基础设施建设所需的规模。
原推 ↗英文原文
HBM was a critical bottleneck in 2025 and we've seen that with $MU and SK Hynix. Just researching components used for future hyperscaler ASIC deployments, the whole industry is moving to photonics. If we go to the bottom of that supply chain it's just two companies for INP substrates. Which is absurd to think about. It could be a huge market opportunity for investors for stuff like $AXTI, but just in terms of national security risk, it's just a crazy bottleneck that needs to be looked at. There's companies like $COHR, but nowhere near to scale required for AI buildout.
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OpenAI 高估值融资改善 AI 数据中心与供应链风险偏好
最新消息：OpenAI 在完成 5000 亿美元估值、100 亿美元以上的 Amazon 轮融资后，正在以 7500 亿美元估值继续融资。 $CRWV：+15.85% $NBIS：+10.28% 有了这笔交易，像 CoreWeave 和 Oracle 这样的公司，在为 OpenAI 的资本开支需求建设容量时，对手方风险在结构上降低了，因为 OpenAI 的资产负债表更强了。 像 Nebius 这种算法上和行业龙头绑定的公司，也因此上涨。 从 Rocket Lab 到 Bitcoin，高 beta 资产普遍上涨。 最近因为日元套息交易解除，加上今天大量未平仓合约到期，市场出现了极端波动。 不过，AI 交易的基本面（尤其是 Micron 神级财报显示了极强内存需求）以及 Neocloud 的基本面，仍然比以往更好。
原推 ↗英文原文
Latest news: OpenAI is raising funds at a $750B valuation after their $10B+ Amazon round at $500B. $CRWV: +15.85% $NBIS: +10.28% With this deal, companies like Coreweave and Oracle structurally have less counterparty risk with OpenAI's stronger balance sheet to fund capex requirements. Companies like Nebius that are algorithmically tied to the sector leaders are up as a result. High-Beta Assets from Rocketlab to Bitcoin are up across the board. There was extreme volatility recently with the Yen carry trade unwinding + large open interest expiring today. However, the fundamentals of the AI trade (especially with Micron's godlike ER showing extreme memory demand), and Neoclouds remain better than ever.
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Amazon 投资 OpenAI 对 AI 数据中心和 ASIC 供应链的连锁影响
最新：Amazon 的 100 亿美元 OpenAI 融资，以及 AI 供应链的涟漪效应。 $AMZN 将以 5000 亿美元以上估值向 OpenAI 投资 100 亿美元以上。 为什么这是 AI 股票的重大结构性变化： 1. AI 数据中心交易去风险：（$ORCL、$CRWV、$APLD、$CORZ） 结合前面提到的 SPEED 法案，影响 Neocloud 的主要问题是： 1. 数据中心延迟和递延收入 2. 不可持续的 CapEx -> 没有 FCF 3. OpenAI 传染/积压订单风险 SPEED 法案直接处理了第 1 和第 2 点，但没有处理 OpenAI 相关的第 3 点。 影响 Oracle、CoreWeave 等最大 Neocloud/数据中心提供商的主要担忧，是它们为 OpenAI 这个对手方投入了巨额 capex，而 OpenAI 本身没有足够资金承诺这些资本开支。 但现在，随着 Amazon 新融资，第 3 点开始被解决。 - 新增 100 亿美元资金，加上 Amazon 的资产负债表支持 ChatGPT 的创造者，OpenAI 对 Oracle 和 CoreWeave 的早期承诺开始获得兜底。 - 下游影响：这直接降低了 $CRWV 和 $ORCL 的风险，因为它们在为 OpenAI 建设容量。再往下两层，依赖 CoreWeave 作为租户的 $APLD 或 $CORZ 也会被去风险。 由于 CoreWeave 和 Oracle 被视为“行业龙头”，这会立刻改变整个 Neocloud 板块的情绪，包括 $NBIS、$IREN、$CIFR、$WULF 等。 2. Hyperscaler AI capex 浪潮（$AMZN、$MRVL、Alchip）： 我们之前看到，$AVGO ASIC backlog 之后，市场开始担心 hyperscaler 支出减弱，很多相关玩家因此大跌。 但这笔交易的关键条件之一，是 OpenAI 采用 Amazon 自研 Trainium ASIC。这代表非 Nvidia 集群会激进扩张。 - 设计与 IP：直接利好 Marvell（$MRVL）和 Alchip 等 ASIC 设计伙伴。 - 定制硅集群需要大量光互连和 HBM。这会为光子（$AAOI、$LITE、$COHR）和内存（$MU、SK 海力士）创造新的 capex 超级周期。 - 代工厂，比如 $TSM。 以及更多参与 hyperscaler ASIC 建设的相关公司。 唯一输家？Nvidia（$NVDA）。 Amazon 正在成功用它庞大的资产负债表，迫使领先 LLM 摆脱对 H100/Blackwell 的依赖，同时推动整条 AI 供应链。 核心结论是，AI 交易由世界上最富有的公司资助，比如 $AMZN；OpenAI 也正在证明，它可以通过出让股权来扩大资产负债表，以满足需求。 做多 AI 板块。
原推 ↗英文原文
Just In: Amazon's $10B OpenAI Funding and The AI Supply Chain Ripple Effect. $AMZN is set to invest $10B+ in OpenAI at a $500B+ valuation Why this is a MASSIVE structural shift for AI stocks: 1. De-Risking the AI DC trade: ( $ORCL, $CRWV, $APLD, $CORZ ) With the SPEED Bill mentioned earlier, the main issues affecting Neoclouds were: 1. DC Delays & Deferred Revenue 2. Unsustainable CapEx → No FCF 3. OpenAI Contagion/Backlog. the Speed bill directly addresses #1 and #2. But not #3 with OpenAI. The main fears affecting the biggest Neocloud/Datanceter providers like Oracle, Coreweave was their immense capex spend for a counterparty (OpenAI) that doesn't have the funding to commit to it's capex spend. But now, #3 is starting to be addressed with the new Amazon funding. - With a fresh $10 Billion and Amazon’s balance sheet backing the creator of ChatGPT, OpenAI's early commitments to Oracle and CoreWeave are now starting to be backstopped. - Downstream Impact: This directly derisks companies like $CRWV and $ORCL, who are building capacity for OpenAI. And by two hops, companies like $APLD or $CORZ that rely on Coreweave as a tenant. As Coreweave and Oracle are seen as the "sector leaders" this immediately changes sentiment across the whole Neocloud sector from $NBIS, $IREN, $CIFR, $WULF and others as well. 2. The HyperScaler AI capex wave ( $AMZN, $MRVL, Alchip): We've seen fears after $AVGO ASIC backlog about hyperscaler spending waning. And many related players tanked on the news. However, a key condition of this deal is OpenAI’s adoption of Amazon’s proprietary Trainium ASICs. This signals an aggressive scaling of non-Nvidia clusters. - Design & IP: Direct benefit to ASIC design partners like Marvell ( $MRVL ) and Alchip. - Custom silicon clusters require massive optical interconnects and HBM. This creates a new capex supercycle for photonics ( $AAOI, $LITE, $COHR ) and memory ( $MU, SK Hynix). - Foundries such as $TSM. and many more related companies involved in the buildout of hyperscaler ASICs. The only loser? Nvidia ( $NVDA ). Amazon is successfully using its massive balance sheet to force the leading LLM to diversify away from H100/Blackwell dependence and boosting the whole AI supply chain alongside it. The main takeaway is that the AI trade is funded by the richest companies in the world, such as $AMZN, and OpenAI is showing it can scale up its balance sheet to meet requirements by trading off equity. Go long on the AI sector.
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用 MU 记忆体行情类比 NBIS 当前投降阶段
是的，很多人原本就认同 $MU（Micron）和内存在 AI 芯片建设中扮演核心角色的观点。 但由于报告里对利润率收缩的担忧，以及中国相关担忧，大家没有等到自己的观点兑现，最后反而带着亏损离场。 现在内存短缺已经出现，早期看对的人被证明一直是对的。但在这轮大涨之后，他们已经不再持有那只股票。 我认为我们现在在 $NBIS 这类股票上也看到了同样情况。大家都看得到它一年后可能成为 AI 版 Amazon Web Services（AWS），同时还叠加 Robotaxi 潜力，但眼下正处在投降/出清阶段。
原推 ↗英文原文
はい、多くの人が $MU （マイクロン）とメモリがAIチップの構築において中心的な役割を果たすという見解を持っていました。しかし、レポートによるマージン縮小の懸念や、中国関連の懸念があり、人々は自分の見解が実現するのを待つ代わりに、結局は損失を抱えることになってしまいました。 今やメモリは不足しており、初期の人々がずっと正しかったことが証明されました。しかし、彼らはこの大幅な株価上昇の後には、もはやその株を所有していません。 現在、私たちは $NBIS のような銘柄でも同じ状況を目にしていると思います。皆、1年後にはロボタクシーと並んでAI版のアマゾン ウェブ サービス (AWS)** になる潜在的な可能性を見ていますが、今は降伏（キャピチュレーション）/売り抜けの局面なのです。
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周五科技股崩盘但作者认为散户方向长期正确，类似TSM/MU历史将重演
接飞刀还是抄底？ Oracle和Broadcom财报之后，周五股市对投资者来说简直是残酷的一天。 仅一天内大跌的热门FinX股票： $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% 我通常会对每只股票做更多点评，但这次真的是太震撼了。像$FRMI因为租户流失/融资问题下跌还能理解，但其他一些就很难解释了。 $NBIS现在比政府、$MSFT和$META交易后还要低，$AVGO在$GOOGL TPU加速生产后却经历了史上最大跌幅之一。 你们周一在关注或买入什么？ （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）： FinX是个泡沫。 r/wallstreetbets上的交易员也一样。 人们持有相同的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA等。 然而：这其实是一件好事。 这些年来我见过这种情况反复上演。 短期来看，当人们买1-3个月到期的期权时，他们会在这些"泡沫化"且拥挤的交易中亏钱。 长期来看，一年后，散户对这些公司的方向判断是对的。 而这才是最重要的部分。 以$TSM（140-150美元）为例，一两年前当$NVDA最初崛起时，它曾是Reddit上最热门的股票代码。 散户的方向判断是对的，因为$TSM是整个人工智能建设浪潮的中心。 短期来看，由于买入2个月后到期的看涨期权，股价停滞甚至跌至127美元，每个人都亏了钱。 一年后股价涨幅超过100%+，所有那些看涨期权本来可以涨10倍。 $MU也是一样。Reddit知道内存是人工智能繁荣的重要组成部分，于是在同一笔交易上扎堆。 然而$MU在100美元停滞了一整年，每个人都亏了钱。 时间快进到现在，从美光到SK海力士，内存是最热门的东西，从65美元飙升至245美元，涨幅超过200%。散户方向判断对了，但最终被迫止损离场。 我坚信像$NBIS这样的股票，我们正处于散户买了太多短期期权、像当初$TSM或$MU那样被迫止损持有股票的那个时期。 然而时间快进一年，这可能就像$TSM、$MU或$HOOD（在18美元时）那样散户方向一直正确、却获得3-4倍回报的情况。 我确信FinX散户股票"泡沫"在短期内可能判断不正确——在那个时间框架内，未平仓合约、宏观波动率和做市商主导着市场——但长期来看方向判断是对的。
原推 ↗英文原文
Falling Knife or Dip Buy? What a brutal Friday for stocks after $ORCL and $AVGO earnings. Popular FinX names that dropped in just 1 day: $FRMI | -34.1% $SNDK | -15.89% $SEI | -15.3% $OKLO | -15.13% $MOD | -14.67% $ALAB | -14.31% $FLNC | -13.96% $LITE | -12.83% $GLXY | -11.73% $AAOI | -11.73% $AVGO | -11.43% $RMBS | -11.11% $CRWV | -10.06% $GLXY | -10.42% $EOSE | -9.73% $CIFR | -9.69% $APLD | -9.43% $WULF | -9.48% $BMNR | -9.17% $LGN | -8.86% $IREN | -8.79% $TSSI | -8.67% $NBIS | -6.99% I usually add more commentary on each stock, but it's been pretty incredible to watch. Things like $FRMI makes sense on losing tenants/funding but as for others. $NBIS is now lower than post Gov, $MSFT, and $META deals & $AVGO just had one of its largest drops in history even after $GOOGL TPU ramp. What are you watching or buying on Monday?
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认为 FinX 散户泡沫短期拥挤但长期方向常常正确
FinX 是泡沫。/r/wallstreetbets 上的交易员也是。 人们都持有同样的股票：$NBIS、$TE、$ASTS、$HOOD、$RKLB、$IREN、$KRKNF、$ONDS、$SOFI、$AMD、$TSLA 等。 但是：这是好事。 这些年我一遍又一遍看到这种情况。 短期看，当人们买 1-3 个月期权时，他们会在这些“泡沫化”和拥挤交易里亏钱。 但从一年后的长期看，散户对这些公司的方向判断往往是对的。 这才是最重要的部分。 例如，一两年前 $NVDA 刚起飞时，$TSM（140-150 美元）是 Reddit 上最热门的 ticker。 散户方向上看对了，因为 $TSM 是整个 AI 建设的中心。 短期里，所有人都亏钱了，因为他们买了两个月后的 call，而股票横盘，甚至跌到 127 美元。 一年后，它涨了 100%+，那些 call 本来会涨 10 倍。 $MU 也一样。Reddit 知道内存是 AI 热潮的重要组成部分，于是都挤进同一笔交易。 但 $MU 在 100 美元横盘了一整年，大家都亏钱了。 快进到现在，从 Micron 到 SK 海力士，内存成了最热门的东西，股价从 65 美元冲到 245 美元，涨了 200%+。 散户方向上是对的，但中途投降了。 我确信，像 $NBIS 这样的股票，现在正处于散户买了太多短期期权，然后像当年 $TSM 或 $MU 下跌时那样，连股票也一起投降的阶段。 但快进一年，这可能就是 $TSM、$MU 或 $HOOD（18 美元时）那种 3-4 倍回报，当初散户方向其实一直是对的。 我相信 FinX 散户股票“泡沫”在较短时间框架里未必正确，因为 OI、宏观波动和做市商会主导价格；但长期方向上往往是对的。
原推 ↗英文原文
FinX is a bubble. Same with traders on /r/wallstreetbets. People own the same stocks $NBIS, $TE, $ASTS, $HOOD, $RKLB, $IREN, $KRKNF, $ONDS, $SOFI, $AMD, $TSLA and others. However: It’s a positive thing. I’ve seen this on repeat again and again throughout the years. Short term when people buy 1-3 months options, they lose money on these “bubbly” and crowded trades. Long term 1 year later, retail gets these companies directionally right. And this is the most important part. For example, $TSM ($140-$150) was the most popular ticker a year or two ago on Reddit when $NVDA was initially taking off back. Retail got this directionally right, because $TSM was the center of all AI buildout. Short term, everyone lost money because they bought calls for 2M out and the stock stalled and even dropped to $127. One year later it’s up over 100%+ and all those calls would have 10x’ed. Same with $MU. Reddit knew memory was a huge part of the AI boom and piled in on the same trade. Yet $MU stalled at $100 for an entire year and everyone lost money. Fast forward, memory from Micron to Sk Hynix is the hottest thing now and shot up 200%+ from $65 to $245 . Retail got this right directionally right but capitulated. I’m convinced on stocks like $NBIS that we’re in the period of time where retail bought too many short dated calls and are capitulating with shares like the drops on $TSM or $MU. However fast forward a year, this might be that 3x-4x return like $TSM or $MU or $HOOD (at $18) where retail was directionally right all along. I’m confident Finx Retail stock “bubbles” might not be right in shorter timeframes - where OI, macro volatility, and MMs dominate - but are right directionally long term.
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博通财报后AI板块抛售是误解造成的买入机会，新云板块中OpenAI依赖股除外
博通[$AVGO]业绩及其对AI板块的影响，如$LIITE和$NBIS： 博通的业绩"双重超预期"，营收$180.2亿(+28% Y/Y)，EPS $1.95，超出共识预期。 但AVGO下跌-11.64%，并拖累了整个AI板块。 这是买入机会吗？ 是的。 博通被视为超大规模云厂商ASIC代理增长的代表，因为亚马逊$AMZN Trainium、微软$MSFT Maia、尤其是谷歌$GOOGL TPU V7 Ironwood都通过它进行规模化部署。 而像$ALAB(-13.2%)、$CRDO(-5.11%)、$LITE(-12.23%)、$TSM(-3.71%)、$COHR(-9.25%)等公司都是TPU/ASIC建设以及博通作为公司的直接受益者。 博通下跌有三个原因，市场下跌有一个原因： 就博通而言，有一些小问题，如税率变化影响EPS模型，或因更多定制AI芯片而非更高利润率软件导致的"利润率压缩"，但这只是会计处理框架问题。（类似于$META在一次性税收后最初的下跌） 对博通和整体市场而言，是积压订单预期问题。以上所有引用的内容与ASIC市场预期增长相比都是小问题。 博通披露未来18个月$730亿的AI积压订单。而有关Anthropic和META购买价值数十亿$GOOGL TPU的传言，人们隐含预期是$800亿+。 然而，这次抛售是由算法和短期AI泡沫情绪驱动的价格错位，而非基本面破裂。 这条积压订单引用是确认订单的最低合同底线。谷歌$GOOGL、亚马逊$AMZN等公司可能会继续增加ASIC订单，而市场未能辨别这一细微差别。 分析师预期营收转化会更加前置，Q4之后积压订单应该会减少，这给出了2026年更高的可能范围$550-600亿+，而非$730亿预期中的$500亿。 TLDR：关于超大规模云厂商ASIC加速以与$NVDA依赖竞争这一论点没有改变。$AVGO和其他如$COHR、Sk Hynix、$MU、$VRT和$LITE都将受益。 这不是关于营收积压订单的最佳消息，但由于交付周期/订单周期和最低底线而被误解。 如果非要说什么，较低的超级云厂商ASIC需求对$NVDA及其生态系统是有益的，但我们也看到$CRWV、$SMCI、$NBIS和$NVDA GPU/DC计算生态系统今天都从盲目抛售中下跌超过5%，尽管存在负相关性。 这又是典型的"AI泡沫"周期因误解而再次来袭。AI股票普遍下跌10-12%的恐慌是一个绝佳的买入机会。 （该推文引用了@aleabitoreddit的推文，引用内容仅供理解语境）: 甲骨文[$ORCL]业绩及其对新云板块如$NBIS和$IREN的影响： 甲骨文报告EPS超预期且积压订单创纪录，但盘后下跌12%。 甲骨文较9月11日高点下跌39.8%，并拖累整个板块。 原因如下： 这次抛售不仅仅是对边际营收miss的反应，而是算法做空和投资者对AI资本支出周期可持续性以及该板块主要租户信用资质的不看好： OpenAI。 甲骨文宣布2026年资本支出增加$150亿至近$500亿，这与报道的与OpenAI $3000亿合作伙伴关系密不可分。 最初，OpenAI是前沿LLM，对甲骨文、Coreweave等公司有前景良好的资本支出承诺，促成了该板块的初始重新定价。 然而，随着超过$1万亿的义务以及Anthropic、Gemini、XAI等竞争对手的增加，市场严重质疑甲骨文、Coreweave等公司是否为无法从运营现金流履行其义务的租户在建设。 我们看到市场有效地发出信号：甲骨文正在为OpenAI创造一种不可持续的债务驱动型"供应商融资"，而OpenAI无法履行其承诺。 因此下跌是理性的：这次抛售是由信用风险和资本密集度的理性重新定价所驱动。 OpenAI融资担忧是合理的：OpenAI缺乏资金履行合同的假设得到其营收($130亿)与义务($600亿/年)之间明显不匹配的支撑。 信用担忧是真实的：甲骨文CDS利差扩大显示"信用事件"降级或违约的概率上升。 此外，我们看到这在新云板块引发传染效应，$NBIS从$140跌至$90s，$IREN从$80跌至$40s，$CIFR从$24s跌至$17s。 但这对$WULF、$NBIS、$IREN等新云公司来说是买入机会吗？ 是的。 这对$ORCL来说是好的买入机会吗？ 不是。 前瞻展望： $ORCL（很大一部分）、$CRWV（25%积压订单）是两个主要依赖OpenAI的公司，这一叙事可能因OpenAI的融资活动而瞬间翻转（+30%+变化）。 如果OpenAI在2026年以高估值超额认购IPO，且其新GPT模型击败Gemini/Claude，我们可以看到这种改变。 然而，许多其他公司与OpenAI无关。新云板块的原始论点是Mag7资本支出从其现金牛业务（Azure、AWS、GCP）向下流向：$NBIS、$IREN、$CIFR、$WULF等。 但随着最大玩家($ORCL、$CRWV)下跌，这些公司算法性地拖累了整个板块。 如果你看各家公司，$CIFR和$WULF由$GOOGL兜底，$IREN/$NBIS由$MSFT资助。 这些是与超大规模云厂商/Mag7的锁定合同积压订单，而非OpenAI。 这种因误解风险而导致的不理性抛售为新云板块提供了绝佳的买入机会，但不是与OpenAI相关的公司如$ORCL和$CRWV。
原推 ↗英文原文
Broadcom [ $AVGO ] earnings results and its effect on the AI sector like $LITE and $NBIS: Broadcom's ER was "double beat" with $18.02B revenue (+28% Y/Y) and $1.95 EPS, beating consensus. But AVGO dropped -11.64% and brought down the AI sector. Is this a buying opportunity? Yes. Broadcom is seen as a hyperscaler ASIC proxy growth as companies like $AMZN Trainium, $MSFT Maia, and most importantly $GOOGL TPU V7 Ironwood are scaled through it. And by proxy companies like $ALAB (-13.2%), $CRDO (-5.11%), $LITE (-12.23%), $TSM (-3.71%), $COHR (-9.25%), and are direct beneficiaries of the TPU/Asic buildout and Broadcom as a company. There's three reasons why Broadcom fell and one why the market fell: For Broadcom, there's minor things such as tax rate changing EPS models or "margin compression" from accounting from just more custom AI chips than higher-margin software, but this is just accounting framing. (Similar to how $META dropped initially on one-time tax post-ER) For both Broadcom general market, it was backlog expectations. Everything cited above is all minor compared to expected growth of ASIC markets. Broadcom cited $73B in AI backlog for the next 18 months. And rumors of Antrophic and META buying billions of $GOOGL TPUs, people were implicitly expecting $80B+. However, the selloff represents a dislocation in price driven by algorithms and short-term AI Bubble sentiment rather than a fundamental breakage. This backlog quote was the MINIMUM CONTRACTUAL FLOOR of confirmed orders. Companies like $GOOGL, $AMZN, will likely continue ramping up ASIC orders and the market failed to discern this nuance. Analysts are expecting revenue conversion to be more front loaded, and that there should be less backlog beyond Q4 given the cycles, which gives a higher likely range of $55-60B+ for 2026 rather than $50B expected of the $73B. TLDR: The thesis regarding hyperscaler ASIC ramp to compete vs $NVDA dependency has not changed. $AVGO and other players like $COHR, Sk Hynix, $MU, $VRT, and $LITE all stand to benefit. It's not the best news regarding the revenue backlog, but it's misunderstood due to lead-time/order cycles and minimum floors. If anything, lower hyperscaler ASIC demand is beneficial to $NVDA and their ecosystem, but we've also seen $CRWV, $SMCI, $NBIS and $NVDA GPU/DC compute ecosystem drop over 5%+ today from an indiscriminate sell-off despite inverse correlation. This is just the typical "AI Bubble" cycle hitting again from misunderstanding. The widespread panic of AI stocks dropping 10-12% is a great buying opportunity.
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英伟达虽面临谷歌TPU等定制芯片竞争，但中期统治力稳固，逢低买入。
英伟达($NVDA)公布的2026财年Q3营收为570.1亿美元(+62.5% YoY)，表现强劲。并指引Q4营收超650亿美元(超预期30亿美元+)，以及通过CY 2026年Blackwell/Rubin系列营收超5000亿美元。尽管如此，股价仍下跌12%。现在$NVDA是强力买入吗？答案如下： $GOOGL的TPU项目成为首个对$NVDA GPU构成竞争替代的方案，Anthropic承诺采购超100万颗TPU芯片，Meta据报道正在就数十亿美元的TPU采购进行高级别谈判。沃伦·巴菲特近期也向$GOOGL投资超40亿美元，鉴于伯克希尔对科技股保守的投资立场，这极为罕见。 尽管创下盈利新高，英伟达股价在过去10个交易日中有6天下跌，较10月29日触及5.03万亿美元市值时的历史高点$207.04下跌约12-15%。 分析师反应普遍看多，普遍上调目标价： - Evercore ISI从$261上调至$352 - 美银从$235上调至$275 - 花旗从$220上调至$270 - 高盛从$240上调至$250 - 摩根士丹利从$220上调至$235 但这里有个价值万亿美元的问题：超大规模客户日益增长的定制硅片威胁是否会削弱英伟达在AI领域的统治地位？ 与主要捕捉英伟达GPU缺货时的溢出需求的$AMD不同，谷歌的TPU项目代表了根本不同的竞争动态。 TPU v7 Ironwood是首款在性能上与Blackwell持平的非英伟达加速器，提供4.6 petaflops的FP8性能（对比B200的4.5 petaflops），配备192GB HBM3e内存。 Ironwood的架构差异化显著。虽然英伟达最大的集群配置为72个GPU(NVL72)，TPU Ironwood可扩展至9,216个芯片组。 客户斩获显著且不断增长： - Anthropic承诺采购超100万颗TPU芯片，价值“数百亿美元”，1GW算力即将上线。 - Meta正在就2026年从谷歌云租赁TPU容量进行高级别谈判，并计划2027年直接采购硬件用于自有数据中心。 - 苹果透露Apple Intelligence基础模型完全在TPU上训练，使用8,192颗TPUv4芯片用于服务器模型。 - Midjourney从GPU转向TPU，推理成本降低65%（从每月200万美元降至70万美元）。 定位微妙。TPU在超大规模推理方面表现出色，在生产级大规模服务中成本性能最高提升4倍（目前）。在训练方面，英伟达优势明显。 对于高度优化的推理任务，TPU架构可能比$NVDA的通用GPU更高效。 然而，我预计下一代英伟达GPU将在许多场景下在推理性能上超越TPU。（类似于LLM之间GPT 5 -> Gemini 3 -> Opus 4.5的迭代超越） 我们看到： 谷歌TPU、AWS Trainium、Meta MTIA、微软Maia和定制超大规模芯片都在扩展，但仍依赖$NVDA。但超大规模客户集体减少对英伟达的依赖，其累积效应是否会削弱英伟达的统治地位？ 答案：不会。至少未来两年统治地位稳固。之后如何纯属猜测。 仅看数据：Q3结果证实公司仍是AI不可或缺的基础设施提供商，5000亿美元的订单积压为2026年提供了极高的可见性。 但市场似乎正在定价3年+后的这种微妙现实：长期面临超大规模客户定制芯片的竞争不确定性。 英伟达产能完全售罄，且很可能在下一代芯片中超越TPU性能（推理性能更高且保持通用性）。但定制硅片威胁和44倍市盈率的估值担忧仍是逆风。 无论如何，鉴于出色的超预期财报和未来两年的订单积压，$NVDA目前因恐惧而下跌，似乎是中期强力逢低买入的机会。 你只需要记住这一点： 只要英伟达仍是AI工作负载的行业首选，且TPU和AMD GPU仅在需求超过英伟达供应时填补空白，它就是强力买入标的。 英伟达订单积压已满，AI需求并未放缓。
原推 ↗英文原文
Nvidia ( $NVDA ) reported a blowout Q3 FY2026 revenue of $57.01 billion (+62.5% YoY). And guided $65B+ Q4 ($3B+ beat), and $500B+ USD in Blackwell/Rubin rev through CY 2026. Despite that, the stock dropped 12%. Is $NVDA a strong buy now? Here's the answer: $GOOGL TPU's program emerged as the first competitive alternative to $NVDA GPUs, with Anthropic committing to over 1 million TPU chips and Meta reportedly in advanced negotiations for billions in TPU purchases. Warren Buffet also recently invested $4B+ into $GOOGL, which is extraordinarily rare given Berkshire's conservative stance to tech investments. Despite a record earnings beat, Nvidia's stock has declined in six of the last ten trading sessions and sits roughly 12-15% below its October 29 all-time high of $207.04, when it briefly touched a $5.03 trillion market cap. Analyst reaction was overwhelmingly bullish, with price targets raised across the board: - Evercore ISI raised to $352 from $261 - Bank of America raised to $275 from $235 - Citigroup raised to $270 from $220 - Goldman Sachs raised to $250 from $240 - Morgan Stanley raised to $235 from $220 But here's the trillion dollar question: will the emerging custom silicon threat from hyperscalers reduce NVIDIA dominance in AI? Unlike $AMD, which primarily captures overflow demand when NVIDIA GPUs are unavailable, Google's TPU program represents a fundamentally different competitive dynamic. TPU v7 Ironwood is the first non-NVIDIA accelerator that achieves performance parity with Blackwell, delivering 4.6 petaflops of FP8 performance (versus B200's 4.5 petaflops) with 192GB HBM3e memory. Ironwood's architectural differentiation is substantial. While NVIDIA's largest cluster configuration is 72 GPUs (NVL72), TPU Ironwood scleaes to 9,216 chip pods. The customer wins are significant and growing: - Anthropic committed to over 1 million TPU chips worth "tens of billions of dollars," with 1 gw of compute capacity coming online. - Meta is in advanced negotiations to rent TPU capacity from Google Cloud in 2026, with direct hardware purchases for its own data centers planned for 2027. - Apple revealed that Apple Intelligence foundation models were trained entirely on TPUs using 8,192 TPUv4 chips for server models - Midjourney switched from GPUs to TPUs and reduced inference costs by 65% (from $2M to $700K monthly) The positioning is nuanced. TPUs excel at hyperscale inference with up to 4x better cost-performance for production serving at scale (for now). For training, NVIDIA is the clear advantage. For highly optimized inference tasks, TPU architecture might remain more efficient than $NVDA's general-purpose GPU. However, I'm expecting next-gen Nvidia GPUs to leapfrog TPUs for inference in many scenarios. (similar to how LLMs leapfrog each other GPT 5 -> Gemini 3 -> Opus 4.5) We're seeing: Google TPU, AWS Trainium, Meta MTIA, Microsoft Maia, and custom hyperscaler chips scale up to reliance on $NVDA. But will the cumulative effect on hyperscalers collectively reducing Nvidia's dominance? The answer: No. Not yet. Dominance is secured at least for the next two years. What happens after is only speculation. Just looking at the numbers: Q3 results confirm the company remains the essential infrastructure provider for AI, with a $500 billion order backlog providing exceptional visibility through 2026. But the market appears to be pricing in this nuanced reality 3 years+ from now: long-term competitive uncertainty with custom hyperscaler chips. Nvidia is completely sold out of capacity, and are likely to leapfrog TPU performance in their next generation chips (higher performance for inference while being general purpose). But the custom silicon threat and valuation concerns at 44x earnings remains a headwind. Regardless, $NVDA seems to be a strong mid term dip-buy now on fears, given the exceptional blowout earnings and backlog for the next 2 years. This is the only thing you need to remember: NVIDIA is a strong buy as long as it remains the industry’s first choice for AI workloads, with TPUs and AMD GPUs filling gaps when demand exceeds NVIDIA’s supply. Nvidia is maxed out on backlog, and AI demand is not slowing down.
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列举AI领域资本支出加速增长的10大证据，强调AI赛道持续高景气度与投资机遇
对于AI领域的任何人来说，很难不看好。 资本支出正在加速增长，而且是以指数级的速度。 直接流向以下几个方面： 新云服务商：$CIFR、$NBIS、$WULF、$IREN， 连接性：$ALAB、$CRDO、$CLS， 能源：$VST、$FLNC、$TE、$EOS， 半导体/晶圆厂：$NVDA、$AMD、$GOOGL、$TSM， 存储：$SNDK、$MU和$STX。 仅在过去几周，我们就看到： 1. AI曼哈顿计划——美国政府正给予顶级模型访问专有实验室数据的权限以加速研究。 2. $GOOGL在德克萨斯州投资400亿美元建设数据中心。 3. Anthropic投资500亿美元建设边缘计算基础设施以支持其Opus 4.5+模型。 4. $TSM公布创纪录的远期收入数据（AI支出）。 5. $NVDA确认创纪录的远期收入数据（AI支出，锁定2年产量）。 6. $META将2025年数据中心/AI资本支出提升至400-450亿美元，用于llama5-6。 7. 今年三次降息以加速增长并降低融资成本。 8. Dominion Energy警告AI数据中心带来大规模电力负荷激增。 9. $AVGO表示AI网络订单达到前所未有的规模。 10. 阿联酋和主权国家推进AI发展。 我们没有看到任何放缓。只有创纪录的增长。 事实上，随着Claude Opus 4.5、Gemini 3的最新模型进展，以及美国政府的新承诺，感觉我们才刚刚看到人工智能新前沿的冰山一角。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Nebius [$NBIS]是当前被低估最多的成长型公司。 它有潜力以210亿美元的市值成为下一个$GOOGL。原因很简单： 它的投资组合公司令人惊叹。 这个概念最令人难以置信的例子是$FTX公司。以下是故事： 当我们观察$META如何增长成为万亿美元公司时，不仅仅是Facebook。他们的投资组合公司Instagram、Whatsapp和其他应用使Meta主导了社交媒体领域。 $FTX在数字资产和前沿技术领域做着类似的事情。 四年前，即2021年，$FTX向一个大资产篮子投资了58亿美元。其中很大一部分投入了这三家核心公司： 1. Anthropic，持股13.56%，估值25亿美元。 2. Robinhood [$HOOD]，持股7.6%，估值85.4亿美元。 3. Solana [$SOL]，4100万+代币。 快进到今天，那将是： · Anthropic最新一轮估值3500亿美元。那部分股份价值约474亿美元。 · Robinhood现在市值超过1000亿美元。那部分股份价值约76亿美元。 · Solana现在每个代币价值131.5美元，使那部分股份远超57亿美元。 仅这三家公司就在4年内产生了超过550亿美元的价值，这甚至还不包括FTX的数百亿美元加上其他数十项投资，以及Chime、Layerzero、Aptos、Hidden Road（被$COIN收购）和加密货币的持股。 他们的投资组合公司比他们的核心业务更持久（想象一下，如果核心业务像$GOOGL搜索和YouTube一样持续增长，那将价值多少）。 $NBIS现在有着与$FTX在加密领域、$META在社交媒体领域相同的布局，但在人工智能领域拥有合法且飞速增长的核心业务。 Nebius拥有： 1. Clickhouse，28%持股，估值约70亿美元（2025年上半年为63亿美元）。 2. Avride，83%持股，估值约60亿美元（优步融资后）。 3. Toloka AI，约65%持股，估值约6.4亿美元。 4. TripleTen，100%持股，估值约3亿美元。 · Clickhouse为Anthropic、$META、$TSLA、$NET和许多财富500强公司提供支持。 · Avride是一家自动驾驶出租车机器人公司，从Yandex分拆出来，$UBER在3.75亿美元融资轮中投资以与Waymo竞争。 · Toloka是一个AI标注平台，亚马逊、微软、Anthropic和Shopify都在使用。 19.6亿美元+49.6亿美元+4.16亿美元+3亿美元=76亿美元的投资组合公司估值，这些公司的增长速度超过大多数公开成长型公司。 但如果我们看看他们以每年700%+的速度增长至70-90亿美元ARR的核心业务，拥有48亿美元现金，为$META、$MSFT、Cursor、政府和更多客户提供支持…… 这可能是它以低于90美元的最后一个月，因为今天MSCI纳入将为其带来从数亿美元到低数十亿美元的额外资金流入。如果我们看看$IREN或$CIFR等热门选择，没有任何其他数据中心成长型公司有这种类型的投资组合。 $NBIS估值仅210亿美元，市场正在忽视这个机会。
原推 ↗英文原文
It’s hard for anyone in the AI space not to be bullish. Capex is ramping up. Exponentially. And flowing directly down to: Neoclouds: $CIFR, $NBIS, $WULF, $IREN, Connectivity: $ALAB, $CRDO, $CLS. Energy: $VST, $FLNC, $TE, $EOSe Semi/foundries: $NVDA, $AMD, $GOOGL, $TSM Memory: $SNDK, $MU, and $STX In the past few weeks alone, we got: 1. Manhattan Project for AI - US government is giving top models access to propriety labs data for accelerating research 2. $GOOGL spending $40 on DC buildout in Texas 3. Anthropic spending $50 on EC buildout to support their Opus 4.5+ models 4. $TSM confining record forward revenue numbers (AI spend) 5. $NVDA confirming record forward revenue numbers (AI spend, 2Y production locked in) 6. $META upping 2025 DC/AI capex spend to $40-$45B for llama5-6 7. 3x rate cut this year to accelerate growth and make funding cheaper. 8. Dominion Energy warning of massive AI power load surge from AI datacenters 9. $AVGO signaling AI networking orders at unprecedented scale 10. UAE and sovereign countries pushing into AI We’re not seeing any slowdown. Only record growth. In fact, with the recent model developments from Claude Opus 4.5, Gemini 3, and now new commitment from the US government, it feels like we're just seeing the tip of the new frontier for Artificial Intelligence.
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深度解析9只个股基本面与目标价，指导散户建立独立估值模型。
基于权益排名表： 以下是对每只股票的深入分析，以及我如何重新调整投资组合以利用市场重置： · $NBIS 现价 $92，目标价 $400 / 1年 · $RKLB 现价 $43，目标价 $500 / 5年 · $CRCL 现价 $72，目标价 $150 / 8个月 · $ALAB 现价 $143.4，目标价 $250 / 6个月 · $SNAP 现价 $8.1，目标价 $22 / 1年 · $CIFR 现价 $14.8，目标价 $28 / 6个月 · $RDDT 现价 $185，目标价 $275 / 8个月 · $SMCI 现价 $34，目标价 $55 / 6个月 · $HIMS 现价 $35，目标价 $60 / 6个月 此顺序基于发布时的持仓集中度权重，以及基于现有信息对中型市值（$50亿+）板块的内部目标价推测。 以下是每只股票及目标价时间框架的深入拆解，以及“定性”理由： 1. Nebius ($NBIS)：市值 $230亿。极度低估且与基本面脱节。 $70-90亿远期年度经常性收入(ARR)，20-30%息税摊销前利润(EBIT)，来自 Shopify、埃森哲、Cursor、外国政府的企业合同，以及来自 Meta 和微软的超大规模客户合同，为 Nebius 提供了收入可见性。拥有 $48亿+现金，使其免受影响数据中心的信贷紧缩影响。预计 2026 年签约容量达 2.5 GW，可与许多其他公司（如 $IREN 的 2.8 GW）媲美，并击败许多关于容量/电力的论点。由于其许多投资组合公司支持 Tesla 和 Anthropic 等公司，它也具有更高的增长潜力（想想 $MSFT 及其投资组合公司带来的长期防御性）。 此外，随着 $NVDA 第四季度业绩爆发，Jensen 澄清了反对 GPU 折旧的论点，这有助于提升数据中心板块情绪。 1年目标价 $400，基于远期收入/利润率估值达 $1000亿+。 2. Rocketlab ($RKLB)：市值 $220亿。短期高估，长期潜力低估。 Rocketlab 是我与比特币并列的最高确信度5年长线标的。在太空领域，并非赢家通吃，我维持 $3500-5000亿长期目标价以匹配 SpaceX 的最新估值/能力。 目前它被高估。但从纯技术角度看，构建可重复使用火箭构成了惊人且具防御性的护城河，我们正处于其端到端太空产品大规模商业化（可能在 ~2028 年）的早期阶段。 然而，市场正在计入 Flatlite 商业化（如 Starlink）和中程有效载荷（SpaceX Falcon 9）的远期增长。市场也计入远期增长，但对于 Rocketlab 而言，关键在于未来有多远。这始终是一个坚实的买入机会，取决于你对公司执行的耐心程度。 3. Circle ($CRCL) - 市值 $160亿，低估。 对于 Circle，自其市值 $500亿以来我就看空，建议做空 Circle，做多 Coinbase，因为 $COIN 与 Circle 有 50% 的收入分成。 此前因流通股本数字和财报后/12月2日巨大的内部人锁定期导致抛售（类似 $BULL）而被高估。流通股本动态很重要，像 Cathie Wood 这样的 ETF 经理似乎不理解（因此我的警告）。 但现在我们达到了合理的估值水平。我预计 USDC 商业化将继续，鉴于数字资产市场的监管重点，我看到 $CRCL 将接管 Tether 的大部分市值。 话虽如此，一旦我们看到内部人股份重新分配给机构和长期持有者，计入稳定币交易量增长，它完全值得 $300亿+的市值定价。 4. Astera Labs ($ALAB) - 市值 $220亿，估值合理 ALAB 是我中期高确信度选股之一，因为 Mag7 采用其连接技术用于数据中心建设。 增长极高，利润率类似 $NVDA，约为 ~74%，最新估算：$2.3亿/季度（同比增长 101%）。我的论点是，如果 Mag7 依赖某家公司（$NVDA 用于 GPU，NBIS、IREN、CIFR 用于 DC AI 云建设），该公司将连续几个季度大幅超出预期，我们正看到这一点。 尽管全面超出业绩预期，Astera 最近从 $250 抛售回 $140 区间，这提供了一个良好的买入机会。 我维持中期目标价 $250，以在 NVDA 业绩后及 Anthropic $400亿 DC 到 $GOOGL 在德克萨斯州 $500亿 DC + 连接需求创纪录的数据中心建设后恢复。 5. Snapchat ($SNAP) 市值 $130亿，低估。 $SNAP 是我最不喜欢的股票和 CEO 之一（抱歉 Evan）。 然而，我无法反驳基本面的变化。我最近论点帖子的 TLDR 是，他们正在削减来自存储 10 年前记忆/视频的巨大运营支出膨胀，如果你查看他们的 GCP 托管费用，这会侵蚀利润率。 现在他们既减少了该 OPex 成本，又从中增加了收入。我们还有与 Perplexity 的 AI 交易，增加了 $4亿+的额外收入流，如 RDDT。 然而，短期内由于相对于 AI 公司的表现不佳，它正遭受税务收割。在 2026 年 Q1，我预计市场将开始大幅计入新的基本面，该公司将大幅超出预期。 话虽如此，随着市场计入新动态，我预计从此处 1 年内有超过 200%+ 的上涨空间。 5. CIFR ($CIFR) - 市值 $50亿，低估 $CIFR 是 Neocloud 板块中我最喜欢的第二只股票。据记忆，其资产负债表上持有大量比特币，并受到 BTC 价格从 $120k 跌至 $90k 的实质性影响。 然而，我预计随着级联保证金清算结束且机构以低价买入比特币，加密资产价格将在几个月内恢复。 Nebius 位居榜首，因为它拥有完整的 AI-云价值链，具有更高的收入潜力和更强的回报，尽管这迫使他们处理编排、软件和 GPU 生命周期风险，而不是坚持托管。 然而，$CIFR 避免了整个风险面，并拥有 AMZN 和 GOOGL 的支持作为长期收入锚点。它也免受 GPU 采购、管理和折旧的影响。 对于 CIFR 的经济模型，我们获得了一个基于超大规模客户空间、电力和冷却的高利润率、年金结构。经风险调整后，它是该组中最安全的名称之一。但权衡是上涨空间受限。像 10 年、15 年这样的长期租赁减缓了收入爬坡，并相对于从 $1.45亿季度收入到一年内 $21亿的全栈 Neocloud 运营商（如 NBIS）削弱了回报。 话虽如此，一旦市场计入 $AMZN、$GOOGL Fluidstack 收入且比特币价格恢复，我维持 1 个月后的 $28 目标价。 6. Reddit ($RDDT) - 估值适中 来自 WSB 子版块 Wendy's 垃圾桶的我，自然对这个平台有偏见。 然而，Reddit 最初从 $270 的抛售是由于对 ChatGPT 引用的担忧，这是不重要的。现在，最新数据显示引用回来了，但 Reddit 的价格仍停留在 $185（远低于该数字）+ 部分由于宏观因素。 Reddit 是最不臃肿、高利润的社交媒体公司之一。由于年轻和年长受众的网络效应的长期防御性（与 Snap 9亿+ MAU 主要为年轻一代相比），它将长存。 我预计 RDDT 将通过收购（如 $HOOD 交易所）扩大货币化途径，得益于其巨大的自由现金流(FCF)和盈利能力，或者像 Facebook 最初收购 WhatsApp、Instagram、构建 Messenger 一样。这是一只低风险、高增长的股票，因此我维持 8 个月后的 $275 目标价。 7. SMCI ($SMCI) - 低估，市值 $200亿。 $200亿市值是个笑话。无话可说。他们正在实现 $50亿季度收入（当然利润率较低）。然而，市场正在计入公司收入下降。 SMCI 将大部分积压订单推迟到 2026 年 Q2，这与 Neoclouds 到 Mag7 客户的许多数据中心建设相一致。 他们预计明年收入同比增长 50%+，至少 $360亿收入，但鉴于 NVDA 业绩爆发带来的数据中心建设，我预计服务器机架公司如 $DELL 和 SMCI 将在 2026 年 Q2 表现优异。 这就是为什么我利用当前季度的收入滞后延迟，并分配 6 个月后的 $55 目标价。 8. Hims and Her Health ($HIMS) - 低估（市值 $80亿） 个人而言，我仅将 HIMS 用于短期交易突破。我一直不长期持有高于 $50 的股票。 然而，回到 $35，它重置了今年大部分的增长，但收入同比增长 49% 至 $5亿，并产生大量自由现金流。 最被低估的叙事是 Zava 收购。这为 HIMS 平台增加了 130万+用户，并使公司能够扩展到欧盟市场。 类似于 META 收购 Instagram 等公司，扩大基础+货币化，我预计 HIMS 将对 Zava 做同样的事情 + 市场正在计入当前的 Zava 估算数字。 这可能是我信心最低的股票，尤其是 CEO 在离开后出售股份，在 $70 时的 SS 帖子让我味道不好 👀。 但话虽如此，这是一个在 6 个月时间内反弹至 $60 的好机会。 希望你喜欢我的观点。有很多关于价格的帖子，但我试图留下更定性的拆解（+ 部分定量，但省略很多技术内容以便阅读），以帮助散户建立自己的确信度和理解。 建立理解对于创建你自己的内部估值模型很重要，而不是盲目跟随 FinX 发帖人 + 当股价暂时下跌时投降。 如果你留下你的投资组合+集中度，我很乐意讨论更多。
原推 ↗英文原文
Based on the equity ranking table: Here's a deeper analysis of each stock, alongside how I reposition my portfolio to capitalize on the market reset: · $NBIS at $92, PT $400 / 1Y · $RKLB at $43, PT $500 / 5Y · $CRCL at $72, PT $150 / 8M · $ALAB at $143.4, PT $250 / 6M · $SNAP at $8.1, PT $22 / 1Y · $CIFR at $14.8, PT $28 / 6M · $RDDT at $185, PT $275 / 8M · $SMCI at $34, PT $55 / 6M · $HIMS at $35, PT $60 / 6M This is in order of concentration weighting from when posted and internal PT speculation based on existing information for mid-cap ($5B+) sections. Here’s a deeper breakdown on each one and PT timeframe, and a “qualitative”why: 1. Nebius ( $NBIS ): $23B marketcap. Incredibly undervalued and detached from fundamentals. $7-9B forward ARR, 20-30% EBIT, enterprise contracts from Shopify, Accenture, Cursor, foreign governments and hyperscaler contracts from Meta and Microsoft give Nebius revenue visibility. With $4.8B+ in cash, it's isolated from credit tightening affecting data centers. With 2.5 GW expected capacity contracted 2026, it rivals many others eg. $IREN at 2.8 GW, and defeats many of the capacity/power arguments. With many portfolio companies powering companies like Tesla and Anthropic, it also has higher growth potential (think $MSFT with its portfolio companies for longer defensibility). We also had stellar $NVDA earnings going into Q4 with their blowout, Jensen clarifying arguments against GPU depreciation, which helps with DC sector sentiment. $400 1 year price target, $100B+ valuation given forward revenue/margins. 2. Rocketlab ( $RKLB ): $22B marketcap. Overvalued current term, undervalued long term potential. Rocketlab is my highest conviction 5Y long alongside Bitcoin. With Space, it's not winner takes all, and I've maintained $350-500B long term PT to match SpaceX’s most recent valuation/capabilities. As of now, it's overvalued. But it's an incredible + defensible moat from purely a technological standpoint building reusable rockets and we're early in terms of commercialization of their end-to-end space products at scale (likely ~2028). However, we're pricing in forward growth with Flatlite commericalization (eg. Starlink), and medium-lift payloads (SpaceX Falcon 9). The market prices in forward growth as well but it’s more about how long in the future with Rocketlab. It's always a solid buy, depending on how patient you are with company execution. 3. Circle ( $CRCL ) - $16B marketcap, undervalued. With Circle, I've been bear posting it since it was a $50B marketcap, saying short Circle, long Coinbase, given $COIN has 50% revenue sharing with Circle. It was overvalued due to float numbers and massive insider lockups 2-3 days after earnings/Dec 2nd led to a sell-off (like $BULL). Float dynamics matter a lot that ETF managers like Cathie Wood seem to not understand (hence my warnings). But now we're reaching respectable valuation numbers. I expect USDC commercialization to continue and given a regulatory focus in the digital asset market, I see $CRCL taking over a lot of Tether's marketcap. That being said, it's well deserving of a $30B+ marketcap pricing in stablecoin volume growth once we start seeing insider shares redistributed to institutions and long term holders. 4. Astera Labs ( $ALAB ) - $22B marketcap, reasonable valuation ALAB was one of my mid-term high conviction picks, due to Mag7 adoption of connectivity for datacenter buildout. Incredibly high growth and $NVDA-like margins sitting at ~74%, latest er: $230m/q (101% Y/Y growth). My thesis was that if Mag7 is dependent on a company ($NVDA for GPUs) ( NBIS, IREN, CIFR for DC AI cloud buildout), the company will blow away expections quarter after quarter, and we're seeing this. There's been a recent sell-off on Astera from $250 back to $140 marks, depsite beating earning expectations across the board and this presents a good buying opportunity. I maintain a medium term PT $250 for recovery after NVDA earnings and record-high DC buildout from Antrophic's $40B DC to $GOOGL's $50B DC in Texas + connectivity demand. 5. Snapchat ( $SNAP ) $13B marketcap, undervalued. $SNAP is one of my least favorite stocks and CEO's (sorry Evan). However, I can't argue with fundamental changes. A TLDR of my most recent thesis post was that they're cutting their massive opex bloat from memories/videos stored 10 years ago and if you look into their GCP hosting fees, it's cutting in margins. Now they're both reducing that OPex cost and increasing revenue from that. We also have AI deals with perplexity adding $400m+ additional revenue streams like RDDT. However, short term it's suffering from tax-harvesting due to underperformance this year relative to AI companies. In 2026 Q1, I expect the market to start pricing in the new fundamentals Hard. and for this company to beat expectation soundly. That being said I expect over a 200%+ upside 1Y from here with the market pricing in the new dynamics. 5. CIFR ( $CIFR ) - Undervalued at $5B marketcap $CIFR is my second favorite stock in the Neocloud sector. From memory, it holds a lot of Bitcoin on its balance sheet and is materially affected by the selloff in BTC prices from $120k to $90k. However I expect crypto asset prices to recover in a few months once cascading margin liqudations finish and instituions buy-in Bitcoin at low prices. Nebius is top because it owns the full AI-cloud value chain for higher revenue potential and stronger returns, even though it forces them to handle orchestration, software, and GPU lifecycle risk instead of sticking to colocation. However, $CIFR because it avoids that entire risk surface and has backing from AMZN and GOOGL for long term revenue anchors. It also stays insulated from GPU procurement, management, and depreciation. For CIFR's economics we get a a high-margin, annuity structure built on space, power, and cooling for hyperscalers. Risk-adjusted, it’s one of the safest names in the group. But the trade-off is capped upside Long leases like 10Y, 15Y slow the revenue ramp and mute the payoff relative to full-stack Neocloud operators like NBIS that go from $145m quarterly revenue to $2.1B in a year. That being said I maintain a $28 PT in 1 month once market prices in $AMZN, $GOOGL Fluidstack revenue and Bitcoin prices recover. 6. Reddit ( $RDDT ) - Moderate valuation Coming from the Wendy's dumpsters on WSB subreddit, I am naturally biased toward this platform. However, the initial sell-off of Reddit at $270 was due to fears over ChatGPT citations, which was immaterial. Now, recent data shows that citations are back, but Reddit's price still sits at $185 (way below that number) + partly due to macro. Reddit is one of the least bloated, highly profitable social media companies. And it's here to stay due to long term defensibility of the network effect of both younger + older audiences (compared to Snap 900m+ MAU of mostly younger generation). I expect RDDT to scale up monetization avenues through acquisitions like $HOOD (exchanges) due to their massive FCF and profitability or how Facebook originally acquired WhatsApp, Instagram, built out messenger. It's a low-risk, high growth stock, which is why I maintain a $275 PT in 8 months. 7. SMCI ( $SMCI ) - Undervalued, $20B marketcap. $20B marketcap is a joke. Nothing else to say. They're doing $5B quarterly revenue (off lower-margins for sure). However, market is pricing in the company revenue dropping. SMCI quoted majority of the backlog delay to Q2 2026, which aligns with a lot of the DC buildout from Neoclouds to Mag7 customers. They expect revenue to grow 50%+ Y/Y next year, with at least $36 billion revenue, but judging from DC buildout from blowout NVDA earnings, I expect server rack companies like $DELL and SMCI to outperform Q2 2026. This is why I'm taking advantage of revenue lag delays from the current quarter and assigning a $55 PT in 6 months time. 8. Hims and Her Health ( $HIMS) - Undervalued ( $8B marketcap) Personally, I've used HIMS just for short term trading breakouts. And I've been one to not long-term hold the stock above $50. However, back at $35, it's reset most of the year's growth but grew revenue 49% Y/Y to $500m and is producing a good amount of FCF. The most under-priced narrative is the Zava acquisition. This adds 1.3M+ users to the HIMS platform and allows the company to expand to the EU market. Similar to how META acquires companies like Instagram, grows its base + monetizes, I expect HIMS to do the same with Zava + market is pricing in current est. Zava numbers. It's probably my least confident stock out of the bunch, especially leaving me with a bad taste with the CEO selling shares after leaving 👀 on SS posts back at $70. But that being said it's a great rebound opportunity to $60 in a 6 month timeframe. Hope you enjoyed my perspective. There's a lot of x at price posts, but I try to leave a more qualitative breakdown (+ part quantitative but leave out a lot of technical for easier reading) to help retail develop their own conviction and understanding. Building understanding is important to create internal valuation models yourself rather than blindly following along FinX posters + capitulating when stock prices temporarily drop. Happy to discuss more if you drop your own portfolio + concentrations.
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感冒简评：META/NBIS错杀强买，警示IREN/ETH，宏观看多AI基建。
11月4日 - 个股分析 + 宏观 清仓抛售：$META • $NBIS • $IBIT 强烈买入：$RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ 存储：南亚科 $2408，SK海力士 $HXSCL，美光 $MU 买入：$AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE 警示：$IREN • $ETH • $BMNR • $CRCL 量子计算：$IONQ • $RGTI • $QBTS 通常我会逐一列表，列出更多的买卖建议并解释每一个原因，但我感冒了。 所以今天只做极简版，懒得研究更多股票。喝着汤，只关注几只股票并给出更广泛的概述。（如果有人问，我会帮忙解释。） $META： 再次强烈、强烈、强烈建议在财报大跌15%+及盘后下跌时买入。 营收超预期。每股收益(EPS)超预期。远期盈利完好。 如果计入一次性税收，EPS为$7.25对$6.67，但显示为$1.05（大幅不及预期），导致算法立即抛售。随后的抛售中，机械性资金流通常会将价格推得更低，但趋势通常在1-2周内反转。 利用这一点。 像“Meta在AI上花费太多”这样的叙事可能是噪音。每家Mag7公司都在增加AI资本支出，除非你从云/ASIC角度争论，否则Meta并没有做任何异常的事。有时真正的原因更愚蠢，比如算法未能识别一次性税收的标准化。 当低贝塔值的Mag7因非实质性原因下跌16%+时，有很大的获利潜力。 警示类别摘要： 不是叫卖，只是给出公平警示，让人们自行决定。 量子计算：仍无收入证明价格飙升的合理性。某些数据中心股票，即使回调后，也有远期营收+自由现金流支撑估值。 $ETH：高于$3K不是强买入（自$4.8K以来立场相同）。 $BMNR：ETH国库策略；以溢价追踪ETH价格。除非有国有化潜力（如$MSTR），否则国库策略不好。 $CRCL：下个月有巨大、巨大、巨大的股份解禁。 $IREN：$MSFT合同在标题上看起来很棒（$9B+营收，超大规模云厂商交易），但实际上利润率很差。 交易不是纯托管；$IREN吸收了~$5.8B的GPU+辅助设备资本支出。 毛利率：最好只有30%出头，自由现金流盈利能力可能降至个位数。相比之下，$NBIS的交易结构更好（$11.6M/MW/yr vs $9.7M/MW/yr）。 交易验证了超大规模云厂商将与IREN签约（正面），但交易本身很糟糕。不是卖出，只是警示那些因标题而FOMO的人。 如果你想FOMO进什么，$CIFR（AWS合同）更有意义。 _ 宏观观点： 市场一直在抛售高贝塔值股票，可能只是正常回调。 逆风： 鲍威尔暗示第三次降息不确定 -> 重新定价。 政府停摆可能延长（短期逆风）。历史上，重新开放后回调会迅速反转。 事件市场定价11月14日为结束日期（还有9天）。 如果像$NBIS（-7.9%）这样拥有惊人远期营收支撑的名字没有实质性变化，大跌时是极好的买入机会。还有像$RDDT这样发布了好财报却跌了7%的股票，也是强烈的买入机会。 泡沫在美联储收紧时破裂。我们已经有了两次降息，还有一次很可能。不要跟随那个预测了过去1次崩溃中5000次的《富爸爸穷爸爸》家伙。 AI ≠ 泡沫 yet - 由Mag7财报、真实营收和利润支撑。但如果OpenAI继续在没有资金的情况下过度承诺合同，以后可能开始像泡沫（1-2年后的投影风险）。 摘要：随着降息后的宽松，市场可能趋势向上。 数据中心建设保持完整（Mag7财报显示巨大的AI资本支出）。 回调中保持强劲的板块：存储 • 能源 • 半导体 • 连接 • 新云 保持多头，在这些回调中建立仓位
原推 ↗英文原文
November 4th - Stock Analysis + Macro Fire Sale: $META • $NBIS • $IBIT Strong Buys: $RDDT • $RKLB • $WLAC • $CIFR • $LTC • $SOL • $CORZ Memory: Nanya $2408, SK Hynix $HXSCL, $MU Buy: $AMZN • $DELL • $SMCI • $ALAB • $CRDO • $TSM • $AMD • $FLNC • $TE Warnings: $IREN • $ETH • $BMNR • $CRCLQuantum: $IONQ • $RGTI • $QBTS Normally I'd go down the list, have more buy/sells, and talk about every single explanation but I caught a cold. So just doing an extremely light version today and didn’t feel like researching more stocks. Just focusing on a few with a broader overview while I drink some soup. (Will help explain if someone asks though.) $META: Once again, Strong, Strong, Strong Buy on the 15%+ earnings drop and post-ER drop. Beat on Revenue. Beat on EPS. Forward earnings intact. If you factor in one-time tax, EPS was $7.25 to $6.67, but it showed as $1.05 (huge miss), which led to algorithmic sell-offs immediately after. Following sell-offs, mechanical flows often push prices lower, but trends usually reverse in 1–2 weeks. Take advantage of this. Narratives like “Meta spending too much on AI” are likely noise. Every Mag7 company is increasing AI capex, Meta isn’t doing anything unusual unless you argue from a cloud/ASIC standpoint. Sometimes the real reason is dumber like algorithms not recognizing one-time tax normalization. Lot of profit potential when lower-beta Mag7 drops 16%+ on nothing material. Warnings Category TLDR: Not calling sells, just giving fair warnings so people can decide for themselves. Quantum: Still no revenue to justify price surges. Certain data center stocks, even after corrections, have forward revenue + FCF to back valuations. $ETH: Not a strong buy above $3K (same stance since $4.8K). $BMNR: ETH treasury play; tracks ETH price with a premium. Treasury plays aren’t good unless potential for nationalization (eg. $MSTR). $CRCL: Massive, massive, massive share unlock coming next month. $IREN: The $MSFT contract looks great in headlines ($9B+ revenue, Hyperscaler deal), but in reality, margins are poor. Deal isn’t pure colo; $IREN absorbs ~$5.8B capex in GPUs + ancillary equipment. Gross margins: low 30s at best, can drop to single-digit FCF profitability. By comparison, $NBIS had a structurally better deal ($11.6M/MW/yr vs $9.7M/MW/yr). The deal validated that hyperscalers will sign with IREN (positive), but the deal itself was terrible.Not a sell, just a warning for people FOMOing the headline. If you want to FOMO into something, $CIFR (AWS contract) makes more sense. _ Macro View: Markets have been selling off high-beta stocks, likely just a normal correction. Headwinds: Powell signaling a third rate cut isn’t certain -> repricing. Gov shutdown likely extends (short-term headwind). Historically, corrections reverse quickly after reopen. Event markets price Nov 14th as end date (9 days out). If there’s no material change for names like $NBIS (-7.9%), backed by insane forward revenue, great buy on the dip. Also stuff like $RDDT that posted great ER but dropped 7.% also strong buying opportunity. Bubbles pop under Fed tightening. We've had two rate cuts, and another still likely. Don’t follow the Rich Dad Poor Dad dude who predicted 5000 of the last 1 crashes. AI ≠ bubble yet - backed by Mag7 earnings, real revenue, and profits. But if OpenAI keeps over-promising contracts without funds, it could start resembling one later (projection risk 1–2 years out). TLDR: Markets likely trend higher as easing follows rate cuts. Data center buildout remains intact (Mag7 earnings show huge AI capex). Sectors that stay strong on corrections: Memory • Energy • Semi • Connectivity • Neoclouds Stay long and build positions on these dips
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看好ALAB/CRDO连接技术爆发，建议持有至明年，提及MINT非对称收益。
@soulbiri1 $ALAB 和 $CRDO 上涨 15%+ 是意料之中的，因为随着数据中心建设，连接技术（Connectivity）正像内存（Memory）$MU/三星海力士那样疯狂爆发。 我个人会持有它们到明年，也许稍微减仓一点点。 $MINT 只是非对称上行（Asymmetrical Upside）。致 @Neat_Lama，这是专辑的第二首歌。https://t.co/yvd68BBX0R
原推 ↗英文原文
@soulbiri1 $ALAB + $CRDO 15%+ increase was expected due to connectivity going insane like memory $MU/Sk Hynix on data center buildout. I'd personally hold them into next year, maybe trim a tiny bit. $MINT was just asymmetrical upside. To @Neat_Lama, here's another song #2 of the album. https://t.co/yvd68BBX0R
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$NBIS · $IREN · $CIFR · $DGXX 连接性(Connectivity)：$ALAB · $CRDO · $CLS 机器人(Robotics)：$KRKNF · $ONDS · $RR 国家安全(National Security)：$RKLB · $MP · $KTOS · $CCCX 能源(Energy)：$FLNC · $EOSE · $TE · $SEI 半导体(Semi)：$TSM · $AMD · $NVDA · $MU _ 第一部分 - 机构资金流向 进入10-11月，对冲基金卖出表现不佳的股票以锁定税务亏损并重新平衡仓位。 这造成了由税务亏损收割(tax-loss harvesting)带来的机械性下行压力，即轮动年内亏损股并轮动至赢家股。一旦这种抛售结束且洗售(wash sale)窗口期过期，机构和量化基金通常在12月中下旬或1月初回购这些超跌股。 上述布局展示了所有年内上涨的股票，通常你希望在年底通过收割亏损股并加仓赢家股来激进配置。 像$SNAP、$ETOR、$DRFT等可能在基本面被低估的股票，很大程度上受机构仓位配置影响。除非你想等待2-3个月并在此期间积累筹码（这也是有效策略），否则顺势而为更好。 第二部分 - 代理指标(Proxies) 新云 - 我们看到了$META与$CRWV的交易，$WULF与$GOOGL及Fluidstack的合资企业，$MSFT对OpenAI的计算需求增加等，这对整个新云板块极其看涨。因此该板块可能继续跑赢大盘。 国家安全 - 我们看到特朗普持有$MP等关键材料公司的股份，并开始关注支持更多国家安全风险，如量子计算公司$RGTI、$IONQ等。这对$RKLB等其他国家安全建设板块总体利好。 半导体 - $TSM是半导体建设和需求的最佳代理指标，其远期营收预测令人难以置信。人们常犯的错误是看$ASML的晶圆厂周期，但这并非正确的代理指标。 我们可以用$CLS作为连接性的代理指标，或用$BE的财报作为能源的代理指标等。 但通常，你可以通过该领域的其他公司很好地判断哪个板块正在跑赢或可能表现良好。 第三部分 - 季节性 11月和12月是股市表现最强的月份。 这更多是心理层面的，因为情绪因素。但也部分出于机械性原因，因为基金在10月进行税务亏损收割重新部署现金后，“追逐业绩”以锁定年度收益。 第四部分 - 仓位配置 这完全取决于你自身的风险水平。例如，对于较小的$10万投资组合，你可以像这样激进配置： 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO, 5% $KRKNF, 5% $FLNC, 5% $TSM看涨期权, 20% 杂项或低贝塔(如$HOOD), 10% 现金。 如果你想做“赌徒”(degen)，现在可能是最好的时机。我之前举过一个ETF的例子说明如何配置，但我通常不建议将整个投资组合集中在单只股票上。 还有其他未提及的板块如金融科技/电商($HOOD, $SOFI, $DLO, $SEA)等，你可以自行替换。 第五部分 - 宏观 人们担心AI泡沫，但泡沫通常在美联储收紧时破裂，我们最近已在许多泡沫股中看到修正。但现在我们将迎来另外两次降息和政府重新开放（这是一个奇怪的催化剂，但确实存在）。 根据Polymarket，有86%的概率再降息两次，这很疯狂。随着三次降息，成长股和小盘股往往因廉价资金和债务缓解激发风险偏好而飙升。大量流动性最终将流入成长股和小盘股。 _ 这只是总体趋势，你可以选择自己的股票篮子，或任何你认为不错的。我个人对新云、AI建设最看涨，并更倾向于非对称(asymmetrical)选择，但各凭喜好（例如人们在能源/机器人或金融科技上有大量仓位）。 另需注意，即使某只股票如$RGTI上涨500%，也要确保其上涨有基本面支撑（如新云、远期营收）。 但总体而言，如果你只能记住一点，那就是在两次降息、年底季节性和向赢家股集中配置时激进出击，这是前所未有的最佳时机。
原推 ↗英文原文
Macro Analysis: Focus Areas: Flows · Proxies · Seasonality · Positioning Setup : _ Neocloud: $NBIS · $IREN · $CIFR · $DGXX Connectivity: $ALAB · $CRDO · $CLS Robotics: $KRKNF · $ONDS · $RR National Security: $RKLB · $MP · $KTOS · $CCCX Energy: $FLNC · $EOSE · $TE · $SEI Semi: $TSM · $AMD · $NVDA · $MU _ Part 1 - Institutional Flows Into October–November, hedge funds sell underperformers to lock in tax losses and rebalance positions. This creates mechanical downside pressure from tax-loss harvesting by rotating losers YTD and rotating into winners. Once this selling ends and wash sale windows expire, institutions and quants often buy back these oversold names in uually mid tolate Dec or early January. The setup above shows every stock that up YTD, usually you want to position aggressively into these EOY by tax-harvesting losers and scaling into positions that win. Stocks like $SNAP, $ETOR, $DRFT, and others that might be undervalued fundamentally is largely affected by institutional positioning. It's better to go with the flow rather than fight against it unless you want to wait out 2-3 months and accumulate during this time (which is a valid strategy as well). Part 2 - Proxies Neocloud - We've seen $META x $CRWV deal, $WULF x $GOOGL x Fluidstack JV, $MSFT having more compute demand from OpenAI, and others, which is extremely bullish for the whole Neocloud sector. So sector will likely continue to outperform. National Security - We've seen Trump take stakes into critical material companies like $MP and start looking into backing more national security risks such as quantum names like $RGTI, $IONQ, and others. This is generally positive for other names like $RKLB or other national security buildout across the board. Semi - $TSM is the best proxy for semiconductor buildout and demand and their forward revenue projections are absolutely insane. People make the mistake of looking at Fab cycles from $ASML but it's not the right proxy. We can go on with $CLS as a proxy for connectivity or $BE earnings for energy, etc. But generally, you can get a good idea on what sector is outperforming or is likely to do well based on other companies in the area. Part 3- Seasonality November and December are the strongest months for equities. This one is more psychological because of sentiment. But also partly mechanical because funds “chase performance” to lock in annual gains after they redeploy cash from tax loss harvesting in October. Part 4 - Positioning This is purely based on your own risk level. For example, with a smaller $100k portfolio you can be fine positioning aggressively like: 25% $NBIS, 10% $IREN, 10% $ALAB, 10% $CRDO 5% KRKNF, 5% FLNC, 5% TSM calls, 20% misc or low beta (eg. $HOOD), 10% cash. If you want to be a degen, now is probably the best time to do so though. I gave an example ETF earlier on how you can position but I typically don't recommend concentrating your whole portfolio into single stocks. There are other segments I didn't mention like Fintech/Commerce ( $HOOD, $SOFI, $DLO, $SEA) and so on but you can plug and play. Part 5 - Macro People worry about AI bubbles, but bubbles pop when Federal Reserve tightens, and we recently got a correction in a lot of bubbly names. But now we're going into 2 more rate cuts and government re-opening (which is such a weird catalyst but it is one). We have a 86% chance of 2 more rate cuts which is insane (as per Polymarket). And, with a triple rate cut, growth and small caps tend to surge as cheaper money and debt easing spark risk appetite. Floods of liquidity will eventually flow into growth stocks and small caps. _ This is just the general trend, you can pick your own basket of stocks, or whatever you feel is great. I'm personally the most bullish on Neoclouds, AI buildout and positioned more heavily toward asymmetrical picks but to each their own (eg. people have large positioning in energy/robotics, or fintech) Also something to note is that even if something goes up 500% like $RGTI, make sure the rise backed by fundamentals (eg. Neoclouds, forward revenue) But generally if you had to take one piece away, being aggressive into two more rate cuts, end of year seasonality, and consolidating into winners is the best time ever for it.
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WSB是底部信号，长期方向准但短视，逆向操作需定力。
@AkaliOnYT 是的，/r/wallstreetbets 是 $NBIS 等股票的绝佳底部信号。他们对 $RKLB、$HOOD、$TSM 和 $MU 的长期方向判断往往正确，但注意力持续时间只有一个月。能说服自己采取相反操作是一项特殊技能。
原推 ↗英文原文
@AkaliOnYT Yeah /r/wallstreetbets is a great bottom signal for $NBIS and others. They’re often directionally right long term $RKLB, $HOOD, $TSM, and $MU but have 1 month long attention spans. It's a special skill to convince yourself to do the opposite.
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博主发布降息周交易清单，强烈看好TSM及Neocloud板块，建议做多。
10月20日，重要的降息交易周。 个人想法和解释： 🛝 = 波段交易(Swing Trade) 🐈 = 催化剂交易(Catalyst Trade) 🎇 = 2026年交易，已进行税务收割(Tax Harvested) 清仓卖出(Fire Sale) 🔥 $NBIS 强烈买入(Strong Buy) $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 买入(Buy) $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU （跳过“持有”，因为我过去提到的其他股票，既然没有变化，大概就继续持有）。 卖出(Sell) $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ 宏观方面，距离降息（约97%概率）还有9天。市场处于恐惧模式。这是建立多头头寸且不减仓的理想时机。 清仓卖出 _ $NBIS - 无需多言，我仍维持2026年牛市情景下$400的目标价，基于40-60亿美元+的前瞻性收入及约60-75%的毛利率，以及另一份可能的超大规模云厂商合同（如 $META）。 周五下跌10%+是机械式对冲和做市商(MM)钉住价格所致。尽管波动剧烈，价格仍卡在$113.5。预计周一空头对冲将平仓（鉴于做市商买入看跌期权并做空看涨期权 -> 临近到期时大量做空），价格将回升。我在下跌时买入六位数的看涨期权，因为基本面没有实质性变化。 强烈买入 TSM - 天哪，请务必将其纳入投资组合。这是一台印钞机，每年营收增长38-40%的同时毛利率还在提升，简直不可思议。财报大超预期后股价回调，这是我生命中最容易的多头机会之一。 AMKR - 我尚未持有，但计划因TSM在亚利桑那州的参与以及其作为美国供应链大伙伴的潜力而加仓（随着美国推动TSM向美国晶圆厂+制造转移）。 WLAC - Neocloud SPAC IPO，上行空间巨大。我最近常提到这个，它可能是估值最好的Neocloud之一，且已有不错的利润率（并非来自矿工转型，后者不确定性稍大）。他们与Fluidstack合作，我预计若获得Mag7合同，估值将重估500%+。 AMZN - $213太离谱了哈哈。我不明白在牛市中它为何年初至今下跌-3%。 LTC - 受加密货币清算和政府停摆延迟ETF影响。现在是买入并等待ETF获批的好时机。 RDDT - 跌至$190是很好的回调。我以为$200是底部，结果跌得更低。关于ChatGPT较少引用它的新闻引发了大幅抛售，我认为这影响甚微。 HIMS - CEO减持导致下跌14%+。所有者经常卖股，对公司基本面影响不大，仅影响短期情绪。预计会反弹。 IBIT - 比特币$108k是很好的入场点，它已在$110k-$120k之间震荡一段时间，低于此价位通常很好。 ALAB - 上次我说过，因新竞争对手新闻而抛售过度。它已在市场上与AVGO竞争哈哈，拥有类似NVDA的利润率，同比增长数百%，Mag7在数据中心建设中正在使用它。 CRDO - 逻辑与ALAB类似，随Astera抛售但幅度稍小。 SMCI - 应因明年55%+的营收增长而重估。我早先怀疑这些预测，但随着数据中心增长，看起来变得现实了。 FLY - 这是中程有效载荷的博弈。人们怀疑Fly的执行能力，但NOC联合开发中程载荷消除了很多风险（并在与Falcon9竞争时可能重估500%+）。 SNAP - 我在早期的深度研究(DD)帖子中计算过Snap记忆功能的变现能力，目前完全未定价。它季度营收$13亿+，市值仅$130亿哈哈，通过增加营收+降低Google OPEX成本获得的自由现金流(FCF)非常惊人。 ETOR - 大部分为现金，以IBKR的速度增长，受税务收割影响。 LULU - 受税务收割+Alo、Vuori等竞争影响。但季节性应该不错，且现在市盈率极低。 买入 AMD - ChatGPT下AMD订单，ORCL建设AMD数据中心。随着成为$NVDA潜在竞争对手，预计明年将重估。仍认为Nvidia将主导，但鉴于其4.5T市值，即使AMD只占一小部分份额，也有很大追赶空间。 HOOD - 10%+回调后看起来好多了。可能复刻PLTR的走势。 RBRK - 之前做过深度研究，作为网络安全公司，在下跌中看起来更好，该领域倍数极低。只需削减营销，客户粘性高。 UNH - 美国医疗很烂但不会消失。认为Warren等人知道这一点。 TGT 🐈 - 下月分红，大股息股票。我认为现在是大量建仓的好时机。 IREN 🐈 - 巨大的GW，预计获得Mag7或类似交易。 WYFI - 任何Neocloud都是买入（例如见关于Mag7将收入导向这些小型10亿-50亿公司的论点）。 WULF - Neocloud博弈 CIFR - Neocloud博弈 SLNH - Neocloud博弈 BITF - Neocloud博弈 GLXY - Neocloud衍生品博弈 FLNC - Neocloud能源博弈 MU - 中国风险解除，内存在那里有巨大市场，内存也可能在数据中心建设中重估。 _ 卖出 ETH - 不喜欢$4k+的以太坊 BMNR - 如果我不喜欢这些水平的以太坊，持有国库公司也没意义 PL - 低营收，太空股（极高估值） BLSKY - 低营收，太空股（极高估值） RGTI - 量子泡沫 OKLO - 核能泡沫 IONQ - 量子泡沫 QBTS - 量子泡沫 _ 快速宏观提示： -> 9天后降息，概率~97%。预期抢跑，做多。就这些。
原推 ↗英文原文
October 20th, Important Rate Cut Trading Week. Personal thoughts and explanations: 🛝 = Swing Trade 🐈 = Catalyst Trade 🎇 = 2026 Trade, Tax Harvested Fire Sale 🔥 $NBIS Strong Buy $TSM $AMKR $WLAC $AMZN $LTC 🐈 $RDDT $HIMS 🛝 $IBIT $ALAB $CRDO $SMCI $FLY 🎇 $SNAP 🎇 $ETOR 🎇 $LULU 🎇 Buy $AMD $HOOD $RBRK $UNH $TGT 🐈 $IREN 🐈 $WYFI $WULF $CIFR $SLNH $BITF $GLXY $FLNC $MU (Skipping Hold, since any other stock I've mentioned in the past, it probably just hold it since nothing's changed). Sell $ETH $BMNR $PL $BLSKY $RGTI $OKLO $IONQ $QBTS _ So macro wise, we are 9 days away from (~97% or so rate cut). Market is in fear mode. This is the ideal time to go long and not cut positions. Fire Sale _ $NBIS - Needs no explanation, I still maintain $400 PT on a bull case 2026 due to 4-6B+ forward revenue off ~60-75% gross margins, and another likely hyperscaler contract (eg. $META) What happened on the 10%+ drop on Friday was mechanical hedging and MM Pinning. You can see this with the price stuck at $113.5, despite any volatility. I'd expect short hedges to unwind Monday (given MMs bought puts and were short calls -> heavy short into expiration) and price to go back up. I ended up buying 6 figures worth of calls on the drop as there was no material changes. Strong Buy TSM - Holy crap, please have this in your portfolio. This is a money printer, and scaling your revenue by 38-40% every year WHILE increasing gross margins is just insane. It dipped as well after smashing earnings so it's one of the easiest longs in my life. AMKR - I don't have this in my portfolio yet but will be looking to add due to TSM's involvement in Arizona and potential to be a big partner in the US supply chain (as America tries to push TSM toward US fab + manufacturing). WLAC - Neocloud SPAC IPO, large upside. I talk about this a lot recently, but it's probably one of the best valued Neoclouds out there, and already has great profit margins (not a pivot from miners, where it's a bit more uncertain). They work with Fluidstack, and I'd expect a 500%+ re-rating on top of a Mag7 contract. AMZN - $213 is insane lol. I have no clue how this is down -3% YTD during a bull market. LTC - Affected by crypto liquidations and government shutdown delaying ETFs. Great time to buy and just wait for ETF to be approved. RDDT - Great dip to $190. I thought $200 would be a bottom but ended up going lower. The news about ChatGPT citing it less caused a large sell-off which I think was very immaterial. HIMS - 14%+ drop off CEO share sale. Owners sell shares all the time, it doesn't really affect the fundamentals of the company much, just short term sentiment. I'd expect it to rebound. IBIT - Bitcoin $108k great entry point, it's been swinging between $110k - $120k for awhile so anything under is usually great. ALAB - I said this last time but it sold off way too much from news of a new competitor. It's already competing vs AVGO in the market lol, NVDA-like margins, growing hundreds of percent Y/Y, Mag7 using them in data center buildout. CRDO - Similar thesis to ALAB, sold off alongside Astera but a bit less. SMCI - Should get re-rated for 55%+ or so revenue growth into next year. I doubted the projections earlier but with the data center growth, it's looking realistic. FLY - This was a medium lift payload play. People doubt fly's execution but NOC co-developing medium lift takes a lot of risk off the table (and possible re-rating it 500%+ when it competes vs falcon9) SNAP - Did the math on Snap monetization of memories in an earlier DD post and it's completely not priced in yet. It's doing $1.3B+ quarterly revenue on a $13B market cap lol, and the amount FCF they would get from increasing their revenue + lowering Google OPEX costs is insane. ETOR - Majority cash, growing at IBKR rates, suffering from tax harvesting LULU - Suffering from tax harvesting + competition from Alo, Vuori, etc. But seasonally should be good, and extremely low p/e now. Buy AMD - ChatGPT putting in AMD orders, ORCL building out AMD data centers. Likely going to get a re-rating in the next year as a potential $NVDA competitor. Still think Nvidia will dominate but with it's 4.5T marketcap, AMD has a lot to catch up on even if it takes a small percent share. HOOD - Looking at a lot better after the 10%+ correction. Could pull a PLTR RBRK - Did DD on this earlier, looks better on the drop as a cybersecurity company really low multiples in the space. Just needs to cut back on marketing, customers sticky. UNH - Healthcare is sht in America but not going anywhere. Think Warren and the others know this TGT 🐈 - Dividend next moth, big dividend stock. Around now is a good time to load up IMO IREN 🐈 - Huge GW, expect mag7 or similar deal. WYFI - Any neocloud is a buy (eg. see thesis on mag7 funneling revenue down toward these small 1B-5B companies) WULF - neocloud play CIFR - neocloud play SLNH - neocloud play BITF - neocloud play GLXY - neocloud derivative play FLNC - neocloud energy play MU - China derisked, memory had a huge market there, memory also likely going to get re-rating in tdata center buildout _ Sell ETH - Not a fan of Ethereum at $4k+ BMNR - If I don't like Ethereum at these levels, no point of holding treasury companies PL - Low revenue, space stock (extremely high valuation) BLSKY -Low revenue, space stock (extremely high valuation) RGTI - Quantum bubble OKLO - Nuclear bubble IONQ -Quantum bubble QBTS - Quantum bubble _ Quick macro heads up: -> Rate cut in 9 days ~97% odds. Frontrunning expected, go long. That's all.
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博主基于宏观利好更新美股AI/半导体/能源等板块的强烈买入、买入及持有名单。
大豆/植物油崩盘，个人思考与解释： 强烈买入 $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC （+ 同上次税务收割股） $AMZN $SMCI _ 买入 $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH 持有 $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS （已达推文股票代码上限，其余同上次帖子，Quantum或Oklo仍建议卖出） _ 强烈买入 ALAB - 数据中心建设的重要组成部分，拥有类似英伟达(NVDA)的利润率，客户包括Mag7。已有来自博通(AVGO)的竞争者，真的不认为Arista会构成竞争威胁。 CRDO - 与ALAB同样的抛售，之前觉得两者都略有高估，但现在回到修正区间，适合补仓。 NBIS - $400目标价牛市情景。宏观顺风来自政府重新开放+10月底降息预期进入财报季，短期前景看好。利好众多（如Meta x CRWV，因此有更多Mag7客户的潜力），分部表现良好，例如Clickhouse，季度收入从$1亿扩展到$15亿+非常惊人。合同已锁定，只是公司执行的问题。 WLAC - 之前在$13时写过投资逻辑。即使在$14.5也很强，因为它可以轻松重估100%+。 LTC - 受杠杆交易者和政府停摆影响。预计停摆将持续一段时间，主要买入理由是ETF获批。但无论如何，低于$100都是很好的买入点，因为最终会获批（~95%概率）。 TSM - 天哪。如果是美国公司这将是$3万亿市值的公司，利润率惊人，对于其规模而言增长率惊人。每篇关于OpenAI X (**Sydney Sweeney合作)或AMD建设/NVDA建设的帖子中，TSM都是核心，即使以历史高点买入，也轻松成为$2万亿+公司（目前约$1.5万亿）。 BTC - $112K是好的入场点。黄金不断创历史新高，基本面没什么变化，只是最近大量清算。 （+ 同上次税务收割股） AMZN - 我真不知道为什么年初至今还在跌。我觉得亚马逊不需要太多解释，但仍在增长（例如AWS积压订单巨大，仍增长24%，当然不如ORCL、GCP等），但考虑到年底季节性和2月前的上涨，现在可能是抄底的最佳时机。AMZN今天触及$213-215是补仓的好机会，因为短期波段交易通常浮动在$218-$227，但长期我预计它会追赶其他Mag7。 SMCI - 被低估。市场关注短期表现，Charles引用的55%+同比前瞻收入增长无人相信+未实现的积压订单。但现在随着所有数据中心建设，这开始说得通了。因此应在接下来两次财报中重估。 _ 买入 AMD - OpenAI x AMD，Oracle使用AMD建设，这么多交易，如果它确实是$NVDA的强劲竞争对手，将重估为潜在$1万亿+公司。我不认为赢家通吃，可以看到$NVDA $4.5万亿+市值和$AMD $3500亿市值，所以我们可以看到大幅拉升（OpenAI通常是前沿模型领导者，如果Sam说他们可以使用AMD芯片+Elon说它对中小模型有益，可能意味着积极信号） FLNC - AI消耗后能源强劲重估，很好的买入。 SEI - AI消耗后能源强劲重估，很好的买入。 BZAI - 别人做过这家公司的深度研究，仅因板块和向边缘计算转移（例如机器人将很热）。由于低市值和类似公司的上涨可能表现良好。 NKLR - 像$OKLO这样的核能股已经起飞，这只是跟随梯队。 IREN - 无需介绍，巨大的GW算力，只是还没有宣布Mag7交易，但随时可能到来 -> 强劲重估。不是强烈买入的唯一原因是因为不完全确信矿工能像CRWV那样转型并保持高利润率（例如$ORCL打击文章），但我们会看到。 WULF - GOOGL积压订单，另外$3.6+亿左右的资金帮助很大。 CIFR - X上有很多关于未来产能和强劲重估的信息。一直喜欢这家公司，因为它是NBIS-lite。你可以买任何Neocloud，因为板块潜力巨大，Mag7将收入注入。 CRWV - 因为债务不像其他人那样喜欢，但由于植物油修正，$134（低于META交易宣布时）是更好的买入点 BITF - Neocloud类别相同 WYFI - Neocloud类别相同 BITF - Neocloud类别相同 GLXY - Neocloud类别相同，有助于其建设 RBRK - 做过深度研究，中期网络安全板块很好的买入，他们只需缩减营销，然后看起来有更多自由现金流，因为他们将大部分运营支出花在营销上。 GRAB - 基本面很好，-6.56%修正再次买入 SEA - 东南亚的AMZN，很多人使用。仅因客户群+变现潜力就买入。基本面$50亿+收入38% Y/Y增长也很好。 META - 我真的很不喜欢他们在AI上的昂贵资本支出，因为他们并没有像ChatGPT那样推出前沿模型，谁知道Zuck在做什么。但除此之外，一个月下跌7.3%，回到$700支撑位，可能在这里买入以追赶是个好主意。 TGT - 下个月股息是好的催化剂。 SNAP - Jenners回来了（有助于人气），他们将前记忆运营支出转为收入，这可能会导致明年巨大的重估。只是受税务收割影响，否则现在会是强烈买入。通常税务收割事件在12月完成。 MU - 现在中国恐惧稍微减弱，MU因为建设中的内存使用而成为更强的买入。 RKLB - 中子，金色穹顶合同，很多催化剂 FLY - 中等提升 UNH - 不受大豆影响的医疗保健股，但有修正。机构发布持仓后可能会上涨（例如Warren可能买了更多） 随机想法 基本上任何不是Oklo的成长/风险股都很好，因为我们有 -> 10月底降息 -> 政府重新开放（可能在10月底或11月初） 进入 -> 12月降息。 -> 中期选举（对股票看涨） 通常市场崩盘发生在紧缩而非宽松时。你的愚蠢量子泡沫可能会再持续3-12个月。如果你做空，可能等到明年2月。 无论如何，这是风险偏好的好时机，特别是搭乘Neoclouds -> 相关板块（例如能源）-> 相关公司（例如smci, tsm等）的趋势。 我半开玩笑地说大豆，因为它可能签署了升级紧张局势，但我可能会看到明年前的上涨。另外我可以写很多关于每一个的内容，但这很耗时，但我会不时发布关于随机股票如$RBRK的投资逻辑帖子。 太空/机器人/能源/量子/AI/半导体/关键垂直领域是目前最顶级的，不要对抗动量。我可以认为某些东西被高估了（例如一些关键材料，因为与Neoclouds相比仍然具有投机性，后者基于Mag7的执行有保证的收入），但我不会在降息时做空它。 只是个人想法，非财务建议
原推 ↗英文原文
The Great Soybean/Seed Oil Crash, personal thoughts and explanations: Strong Buy $ALAB $CRDO $NBIS $WLAC $LTC $TSM $BTC (+ same as tax harvest stocks last time) $AMZN $SMCI _ Buy $AMD $FLNC $SEI $BZAI $NKLR $IREN $WULF $CIFR $CRWV $BITF $WYFI $SLNH $BITF $RBRK $GLXY $GRAB $SEA $META $TGT $SNAP $MU $RKLB $FLY $UNH Hold $MP $HOOD $EOSE $NVDA $GOOGL $DFLI $SOFI $VIRT $RR $AVGO $BE $ASTS (Hit the ticker maximum but everything else from last post, still sell on Quantum or Oklo) _ Strong Buys ALAB - Huge part of datacenter buildout, NVDA like margins, Mag7 customers. Already had competitors from AVGO, really don't think Arista would be a competitive threat. CRDO - Same sell-off as ALAB, thought they were both kind of overvalued before, but now they're back in correction territory so good to stock up. NBIS - $400 PT bull case. We have macro tailwind from government re-opening + rate cut EOM october into earnings, so short term looks promising. Lot of things going for it (eg. meta x crwv, so there's potential for more mag7 clients), sum of parts doing well, eg. clickhouse, and scaling rev from $100m to $1.5B+ a quarter is insane. there's already contracts locked in its just a matter of company execution. WLAC - Wrote a thesis about this earlier at $13. Even at $14.5 strong because it can re-rate 100%+ easily. LTC - Affected by leverage traders and government shutdown. The shutdown is predicted to last awhile and the main reason to buy was the ETF getting approved. But a great buy sub <$100 anyway, because it will get approved in due time (~95% chance). TSM - Holy crap. This would be a $3T company if this were a US company, insane profit margins, insane growth rate for their size. And every post you see about OpenAi X (**sydney sweeney partnership) or AMD buildout/NVDA buildout. TSM is the center of it all and would easily be a $2T+ company (from here at ~$1.5T), even if buying at ATHs. BTC - $112K good entry point. Goldt keeps hitting ATH, nothing really changed fundamentally, just lot of liquidations recently (+ same as tax harvest stocks last time) AMZN - I really don't know how it's still down YTD. I don't think Amazon needs much explaining but still growing (eg. AWS backlog massive, still going like 24% but not as much as ORCL, GCP and others obviously), but with EOY seasonality and runup to Feb, now is probably the best chance to catch the bottom. AMZN hitting $213-215 today was a good chance to stock up since it usually floats between $218-$227 if you're short term swing trading but long term I'd expect it to catchup to other mag7. SMCI - Underrated. Markets were looking short term performance, and Charles was quoting like 55%+ Y/Y forward revenue growth which nobody believed + backlog that didnt get realized yet. But now with all the data center buildouts, now it's kinda making sense. So should re-rate in the next two earnings. _ Buy AMD - So many deals from OpenAI x AMD, oracle building out with AMD, this is going to re-rate to a potential $1T+ company if it's actually a strong competitive to $NVDA. I don't think it's winner takes all and you can see a $4.5T+ market cap size with NVDA and some $350B marketcap size with AMD, so we can see a large ramp up (OpenAI is usually the leader in frontier models and if Sam says they can use AMD chips + elon said its' good for small-medium weight models, prboably means something positive) FLNC - Strong re-rate on energy after AI consumption, great buy. SEI - Strong re-rate on energy after AI consumption, great buy. BZAI - Someone else did a DD on this company, just cause of sector and shift to edge compute (eg. Robotics goign to be hot). Because of low MC and runup of similar companies could turn out well. NKLR - Nuclear stocks like $OKLO have been taking off, this is just follow the lader. IREN - Needs no introduction, huge GW compute capacity just no announced mag7 deals yet but could come anytime -> strong re-rate. Only reason not a strong buy is because not fully convinced miners can pivot like CRWV and maintain great margins (eg. $ORCL hit piece) but we'll see. WULF - GOOGL backlog, another $3.6+ or so in funding helps a lot. CIFR - Lot of info on X about future capacity and strong re-rating. Always liked this company because it was NBIS-lite. You can probably buy any Neocloud and it will go up because the sector is incredibly high potential with Mag7 funneling revenue. CRWV - Didn't like this as much as others because of debt but because of the seed oil correction much better buy point at $134 (below when META deal was announced) BITF - Same in Neocloud category WYFI - Same in Neocloud category BITF - Same in Neocloud category GLXY - Same in Neocloud category, helps with their buildout RBRK - Did a DD on this, great buy for cybersecurity sector in mid term, they just need to scale back marketing and then it looks like they have a lot more FCF because they're spending most OPEX on marketing. GRAB - Great fundamentally, -6.56% correction good to buy again SEA - AMZN in SEA, tons of people use them. Just a buy just because of costumer base + monetization potenetial. Fundamentally growing $5B+ rev 38% Y/Y is also great. META - I really don't like all their expensive capex on AI since they're not really putting out fronteir models like ChatGPT with it, who knows what Zuck is doing. But that aside, down 7.3% over the month, going to $700 support, probably a good buy around here to play catchup. TGT - Dividend next month good catalyst. SNAP - The Jenners are coming back (helps with popularity), they're shifting former memory opex to revenue, and this will probably cause a HUGE rerating next year. Just suffers from tax harvesting otherwise would be a strong buy rn. Usually tax harvesting events are kinda done in December. MU - Now that China fears are kinda less intense, MU is a lot stronger buy just cause of memory use on buildout. RKLB - Neutron, golden dome contracts, lot of cataylsts FLY - Medium lift UNH - Healthcare stock not affected by soybeans but had a correction. Would likely go up one instituions post their ports (eg. warren likely bought more) Random thoughts Basically any growth/risk stock that's not named Oklo is great because we have -> Rate Cut end of month October -> Government re-opening sometime (likely around end of Oct or early Nov) Into -> Rate Cut December. -> Midterms (Bullish for stocks) Usually market crashes happen when there's tightening not easing. And your stupid quantum bubbles would likely continue for another 3-12 months afterward. If you're short, then probably wait till next Feb. Anyway, this is a great time for risk-on, and specially riding trends with neoclouds -> affiliated sectors (eg. energy) -> affiliated companies (eg. smci, tsm, etc). I half joke-about soybeans because it likely signed escalating tensions, but I'd probably see a run-up into next year. Also I could write up a lot about each one but it's pretty time consuming but I'll put on a thesis post about random ones eg. $RBRK, from time to time. Space/robotics/energy/quantum/ai/semi/critical top verticals right now, don't fight against momentum. I can think something is overvalued (eg. some critical materials bc. it's still spectulative compared to neoclouds that kinda have guaranteed rev based on execution from mag7) but I wouldn't short it into rate cuts. Just personal thoughts, NFA
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分析$RBRK基本面与估值，认为其是网络安全板块好买点，但非最佳机会。
所以人们几乎每隔一条帖子就问起 $RBRK，我知道它在 X 上很火。 为了让大家别再问（我也在 $82 买入了一些 Rubrik），我最终去研究了一下它。 我的研究 TLDR（太长不看版）： - 网络安全公司（该行业估值倍数极高，参考 $CRWD 或 $NET） - 80% 的毛利率（很棒） - ARR（年度经常性收入）超 10 亿美元，同比增长 40-50%（很棒） （对比 NET，ARR 约 22 亿+，同比增长 22%，市值几乎是其 5 倍） - 运营支出 (OpEx)：60-75% 的收入用于营销。这是一个巨大的积极信号。 运营营销支出虽好，但短期看起来很难看，例如 $HOOD 给客户 3% 转账奖励时，这会伤害短期财报，因为具有误导性且没多少人做拆解；但长期来看，当削减支出时，客户粘性高，这对盈利能力帮助很大。 自由现金流 (FCF) 为正，但运营支出分解主要是营销，这是好事，不同于 Snapchat 的谷歌云运营支出。 - 客户基础多元化，像 Cloudflare（如高盛、百事、埃森哲等）。 缺点： - 资产负债表不是最好，约 11 亿美元债务用于资助收购。至少是为了收购。 - 不喜欢其远期收入数字放缓了 20-25%，相比之下 $NBIS 明年增长 700% 或更多。显然不公平比较，但这就是为什么我更看好 Neoclouds（新云基础设施）。 _ 看起来是一个不错的中期持有标的，计划很简单 -> 扩大客户群 -> 缩减营销 + 高粘性客户群 -> 赶上网络安全行业估值倍数并拥有更高的 FCF。 通常这类高毛利率（如 $HOOD 在 $18 时，增长 ~50% y/y）且实现盈利的成长型公司，重估 (re-rate) 幅度最大。 $RBRK 只需在未来减少营销支出，突然就会因为其粘性客户群拥有大量 FCF。 TLDR：网络安全板块的好买点，但其他地方有更好的机会。
原推 ↗英文原文
So people keep asking me about $RBRK almost every other post and I know it's really popular on X. I ended up looking into it so people stop asking (and added some Rubrik to my portfolio at $82). TLDR my own research: - Cybersecurity company (industry trades at extremely high multiples, look at $CRWD or $NET) - 80% gross margins (great) - $1B+ ARR, grew 40-50% Y/Y (great) (comparison to NET, ~2.2B+ ARR, growing 22% Y/Y, almost 5x the MC) - OpEx spend: 60-75% of revenue goes to marketing. This is a huge positive. OpEx marketing spend is great but it looks really bad short term eg. $HOOD when they give customers 3% to transfer, it hurts short term in earnings reports bc it's deceptive and not many people do the breakdown but long term when they cut back on spend, customers are sticky and this helps a lot with profitability. FCF was positive, but breakdown of opex expenses was mainly marketing, which is a good thing, unlike Snapchat google cloud opex. - Diversified client base like Cloudflare (eg. goldman, pepsi, accenture, etc). Downsides: - Balance sheet not the best, $1.1B debt or so to fund acquisitions. At least it's about acquisitions. - Don't like how their forward revenue numbers slowed down 20-25% compared to something like $NBIS growing like 700% or something more for next year. Obviously unfair comparison, but that's why I liked Neoclouds more. _ Looks like a good mid term hold with a pretty simple plan -> scale customer base -> scale back marketing + sticky base -> catch up to industry multiples in cybersecurity and hv higher FCF. Usually these types of growth companies with high gross margins (eg. $HOOD back at $18, growing ~50 y/y) that turn profitable, re-rate the hardest. $RBRK just gotta spend less on marketing down the road and suddenly they have a lot of fcf with their sticky customer base. TLDR: Great buy for cybersecurity sector, better opportunities elsewhere.
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建议买入AMD，降级MU为持有，关注宏观风险。
对于像 $AMD 这样的半导体股，当其与 OpenAI 的 1000 亿美元合同开始放量时，是未来 1 年的买入时机。 有评论提到 $MU，由于相比 $TSM 等公司，$MU 在中国拥有大量的 DRAM/NAND 存储业务，因此受中国争端的影响更为实质性地类似于 $QLCM。所以我会将其降级为持有。 当然，鉴于特朗普是个变数，我不确定宏观风险会如何演变，如果紧张局势缓和，估值将会重新调整。
原推 ↗英文原文
For semis like $AMD it’s a buy for 1Y out when the 100B contract with OpenAI starts ramping up. Some other comment mentioned $MU, they’re more materially affected like $QLCM is to China disputes bc of large dram/nand for memory over there compared to something like $TSM. So would dg it to hold. Of course I’m not sure how macro risk will play out with Trump being a wild card and all, if tensions ease up things would be re-rated
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基于周五大跌，列出AI/加密/太空股买卖清单，看好Neocloud及算力基建。
基于周五收盘（SPY跌3.6%）的思考与解释 强烈买入 $IBIT $LTC $WLAC $NBIS $MP $TSM （针对明年） $ETOR $DKNG $SNAP 买入 $UPWK $CRDO $ALAB $AMZN $META $UNH $SG $TGT $BULL $FLY $CIFR $WULF $IREN $GLXY $SMCI $DELL $MRVL 持有 $RKLB $HOOD $RBRK $MU $HOOD $GRAB $MARA $RIOT $NVO $RR $ELOSE $FLNC $SEI $PLTR 卖出 $CRCL $ETH $BMNR $PL $BKSY 强烈卖出 $RGTI $OKLO $IONQ $QBTS $QUBT _ 解释： IBIT - 跌至10.4万美元，比特币需求来自机构，关税担忧被夸大，并引发了历史上最大的清算事件之一。在我看来，清算后是购买加密货币的最佳时机。Polymarket仍定价年底有55%几率达到13万美元，但无论如何，比特币长期来看总是好的买入标的。 LTC - 单日下跌24%。使用10倍杠杆的人可能在抢先交易ETF并在交易所被清算。这可能是我见过的在98美元以下买入的最佳时机，因为政府停摆结束后ETF可能会获批。 WLAC - 由于与Fluidstack（帮助WULF和CIFR获得GOOGL背书的公司）的合作，以6亿美元估值成为有史以来最好的Neocloud SPAC IPO 1000%机会之一，而这两家公司估值为40-70亿美元。作为背景，他们将在Q4 IPO，所以你可能需要等待约2个月。 NBIS - 我持有信心最强的买入标的，明年任何Neocloud中都有400美元的激进目标价。 MP - 稀土的国家安全风险（+其他从勘探到锂电池的稀有材料股票表现可能会很好）。 TSM - 所有AI基础设施的骨干 _ 强烈买入的税务收割股票池 （可能需要等到明年） ETOR - 在38美元处严重超卖，可能是正在进行的税务收割事件叠加亏损。 DKNG - 本质上是一只成长股。鉴于市值，营收数据惊人，但他们处于年度低点-15%。可能受不受宏观影响的税务收割影响。 SNAP - 如果你读过我的论点，他们130亿美元的市值对应13亿美元的季度营收……我相信在降低运营支出+通过货币化GCP存储增加营收后，他们明年会重新评级。这只是市场何时定价的问题，但这需要1年以上。后投资者没有耐心。再次，可能受至今表现导致的年底税务收割影响。 _ 买入 UPWK - 昨日下跌4.5%，基本面极佳，~8亿同比营收，70%~或80%~的毛利率在增长，2亿回购，22亿市值。可能受罗素指数抛售影响。 CRDO - 数据中心交易，Mag7使用它们。 ALAB - 数据中心交易，Mag7使用它们。 AMZN - 虽然受到100%中国关税的实质性影响，但他们不会失去任何东西，因为成本会转嫁给商户或客户。 META - 可能因中国关税导致广告收入减少（例如，像Temu这样的中国供应商可能不会购买广告位），但仅基于-6%的1个月低点+作为落后于亚马逊的Mag7成员，我更看好它。 UNH - 医疗保健不太受100%中国关税或稀土影响。 SG - 下跌可能由于表现不佳+税务收割，但它几乎是1倍市销率（P/S）哈哈。 TGT - 我会将其列为强烈买入，因为股息催化剂+刚刚触及5年低点，但尚未对中国关税对该股票的影响做足够的研究。 BULL - 以与HOOD相似的速率增长，其基本面对于市值来说并不完全出色，但你会基于零售客户群和未来货币化潜力进行投资。 FLY - 我之前做过DD，但中型有效载荷很可能在2027年与诺斯罗普合作成功，这需要大量的耐心以换取潜在的1000%回报。 CIFR - Neocloud交易，始终看涨。像Meta X CRWV一样，更多细节可能很快公布。 WULF - Neocloud交易看涨。 IREN - Neocloud交易看涨。他们的融资轮次价格如果我记得没错的话是其股价的70%+，这是一个看涨信号（例如NBIS和CIFR在融资轮次后都达到了这一点）。 GLXY - Neocloud交易的一部分。 MRVL - 市场尚未充分定价其像NVDA一样56%的同比增长。 SMCI - 数据中心/星门建设 DELL - 数据中心/星门建设 _ 卖出 CRCL - 我会不断重复这一点，除非Circle能展示其能在利息收入之外货币化USDC，否则COIN优于Circle。因为COIN实际上获得50%的收入分成，再加上其平台上100%的收入。 ETH - 我会不断重复这一点，但我个人不会在3000美元以上买入。所以即使它下跌16%（你可以尝试波段交易，反弹至4000美元+），也始终有继续级联下跌至3000美元以下的风险，我已经数不清历史上发生过多少次了。 BMNR - 基本面与ETH挂钩。 PL - 太空股票已经上涨很多，我认为像RGTI和其他股票一样，基本面并未反映其市值。 BKSY - 太空股票已经上涨很多，我认为像RGTI和其他股票一样，基本面并未反映其市值。 强烈卖出 RGTI - 市值与估值极度脱节 OKLO - 市值与估值极度脱节 IONQ - 市值与估值脱节 QBTS - 市值与估值脱节 QUBT - 市值与估值脱节 显然存在中美贸易战的宏观压力，但这都不是新信息（中国稀土出口管制已为人所知一段时间+美国已经对中国商品征收关税） 我们正走向定价为70%的两次更多降息，以及大幅修正以清洗高估的泡沫并清算杠杆（例如加密货币），这将帮助市场走向更高的高点。我将始终推荐股票，因为对于好公司，如果你等待足够长的时间，它们可能会跑赢（但如果出现随机的宏观风险，短期可能会跑输）。 中期来看，我对Neoclouds在未来一年AI快速建设期间最为看好 -> 机器人/太空可能是之后的下一个前沿。 （该推文引用了 @aleabitoreddit 的推文，引用内容仅供理解语境）: Neocloud论点：超大规模资本支出漏斗 为什么我要投入150万美元+到Neoclouds，以及为什么这可能是200-300%+的回报。 🔹 类别 Mag7合同：$CRWV, $NBIS ✅, $WULF, $CIFR ✅ 带算力：$IREN ✅, $BITF 投机性：$WYFI, $GRRR ✅, $SLNH 转向HPC的矿工：$RIOT, $MARA, $CLSK, $HUT 论点： Mag7的AI算力紧张，这是由$NVDA设计导致的。 原本流向AWS、MSFT Azure、Google Cloud用于传统算力的数万亿美元资本支出，现在当他们无法处理来自Anthropic、OpenAI、Gemini等的新AI负载时，将流入Neoclouds。 这是一个十年一遇的机会，类似于使$NVDA成为4万亿美元公司的GPU军备竞赛，关于谁将为未来5-10年的AWS/Azure等提供基础设施。 NBIS（来自MSFT的170亿）、CIFR / WULF（来自GOOGL的30亿）、CRWV（由NVDA背书）都在以百分之几百的速度扩张（NBIS从1.5亿季度营收到可能的15亿+），毛利率为60-80%。 这种营收增长在历史上几乎闻所未闻。这主要是因为最富有的超大规模公司将资本支出注入小公司。 NVDA / TSM (2022->): 超大规模公司的GPU CRDO / ALAB (2024 ->): 超大规模公司获胜 -> 抛物线增长。 NBIS/CIFR/IREN等 (2025 - ) AWS/Azure等 -> 来自AI算力的抛物线增长 这就是如何获得百分之几百的回报，而不是在Paypal上进行价值投资。动量驾驭下一代公司。 所以看空论点通常涉及 - 执行风险（以前更投机，现在像NBIS这样的公司有40亿+来执行） 人们总是担心执行，但微软或谷歌不会在没有自己尽职调查的情况下签署如此大的5-10年合同。 - 高利率（主要看你CRWV），这就是为什么NBIS、CIFR和其他公司有潜在的惊人回报。 你有40亿+的资金用于$NBIS在138美元+每股（当它是107美元时）。以及$CIFR在16美元+每股的资金当它是11美元时。高于当前价格的融资是一个看涨信号。 - GPU折旧（有效的担忧，但它几乎像石油，即使是旧型号也保持价值并仍然提供权益）。 - 估值（我认为我们才刚刚开始。如果NBIS明年扩展到60亿营收75%毛利率），260亿市值非常小。 - NVDA可能推出自己的GPU即服务并直接竞争。目前这些Neoclouds是NVDA防止对Azure/AWS等集中风险的答案。 - 自定义超大规模芯片如TPU、Trainium。但可能还需要几年，因为他们仍在乞求NVDA算力并签署了5-10年合同。 无论如何，像Nebius这样的Neoclouds相对于远期营收/毛利率确实被低估了。 我们仍然非常早期。确保像特朗普选举时的Crypto/TSLA或OpenAI发布时的NVDA一样驾驭Neocloud浪潮。 当然这是高度投机的，我不会建议全仓YOLO，但为Google/MSFT等AI工作负载提供动力的这些5-200亿Neoclouds的风险回报是值得的。（交易时间范围：8个月-1年。） 这是2025-2026年最好的非对称AI基础设施交易。
原推 ↗英文原文
Based Friday Market Close (-3.6% SPY day), Thoughts and Explanations Strong Buy $IBIT $LTC $WLAC $NBIS $MP $TSM (For Next Year) $ETOR $DKNG $SNAP Buy $UPWK $CRDO $ALAB $AMZN $META $UNH $SG $TGT $BULL $FLY $CIFR $WULF $IREN $GLXY $SMCI $DELL $MRVL Hold $RKLB $HOOD $RBRK $MU $HOOD $GRAB $MARA $RIOT $NVO $RR $ELOSE $FLNC $SEI $PLTR Sell $CRCL $ETH $BMNR $PL $BKSY Strong Sell $RGTI $OKLO $IONQ $QBTS $QUBT _ Explanations: IBIT - Dumped to $104k, Bitcoin demand has been institutional, tariff fears overblown, and caused one of the biggest liquidation events in history. IMO post-liquidation is the best time to buy crypto. Polymarket still pricing in 55% chance to $130K EOY, but either way Bitcoin is always a good buy long term. LTC - Down 24% in one day. People on 10X margin were likely frontrunning ETF and got liquidated one exchanges. Probably the best time I've seen to buy sub $98 because ETF will likely get approved when government shutdown stops. WLAC - One of the best Neocloud SPAC IPO 1000% opportunities ever at $600m valuation because of their partnership with Fluidstack (the ones that helps WULF + CIFR get backstopped by GOOGL), and both of those are $4-7B. For context they're IPOing Q4, so you might need to wait ~2 months. NBIS - Strongest conviction buy I've had, $400 aggressive PT for next year out of any Neocloud. MP - National security risk for rare earths (+other rare materials stocks from exploration to Lithium batteries will likely perform well). TSM - Backbone of all AI Infrastructure _ Strong Buy Tax Harvesting Bucket of Stocks (Might need to wait for next year) ETOR - Way too oversold at $38, likely tax harvesting event going on compounding losses. DKNG - Fundamentally a growth stock. Revenue numbers are insane given market cap but they're -15% yearly low. Likely compounded by tax harvesting unaffected by Macro. SNAP - If you read my thesis, they're doing 1.3B quarterly revenue off a 13B marketcap... I'm convinced they will re-rate next year after lowering opex + increasing revenue from monetizing GCP storage. It's just a matter of when the market will price this in, but this is 1Y+ out. Post investors aren't patient. Again likely affected by EOY tax harvesting due to performance so far. _ Buys UPWK - Down 4.5% from yesterday, amazing fundamentals, ~800m y/y rev off 70%~ or 80~ gross margins thats growing, 200m buybacks, 2.2B market cap. Likely affected by Russell selloff. CRDO - Data Center Trade, Mag7 uses them. ALAB - Data Center Trade, Mag7 uses them. AMZN - It's materially affected by 100% Chinese tariffs but they won't lose anything, since it gets passed onto the merchant or customers. META - Probably less ad revenue by Chinese tariffs (eg. Chinese vendors like Temu, might not buy adspace), buy just based on -6% 1m low + Mag7 laggard with Amazon, I like it more. UNH - Healthcare not really impacted 100% Chinese Tariff or rare earths. SG - It's down likely due to bad performance + tax harvesting but it's almost 1 P/S lol. TGT - I'd put it Strong Buy due to dividend catalyst + 5Y low just now, but haven't dont enough research on the effect on Chinese tariffs on the stock yet. BULL - Growing at similar rates asHOOD, their fundamentals aren't exactly great for the market cap but you would invest based on retail customer base and the future potential for monetization. FLY - I did a DD on this earlier but Medium Lift Payload likely to succeed with Northrop in 2027, it takes a TON of patience for a potential 1000% moonshot. CIFR - Neocloud trade, always bullish. Like Meta X CRWV, more details likely to come soon. WULF - Neocloud trade bullish. IREN - Neocloud trade bullish. Their funding round was at some number 70%+ of their stock price if I remember correctly, which is a bullish tell (eg. NBIS and CIFR both hit that after their fundraising round). GLXY - Part of Neocloud trade. MRVL - It's not really priced in that it's growing 56% Y/Y like NVDA. SMCI - Data center/stargate buildout DELL -Data center/stargate buildout _ Sell CRCL - I will keep repeating this but COIN is better than Circle unless Circle can show they can monetize USDC outside from interest income. Because COIN literally gets 50% revenue sharing and on top of that 100% of the revenue on its platform. ETH - I will keep repeating this but I will not personally buy above $3000. So even if it dips 16% (you can take the chance of a swing trade, back up to $4k+), there's always the chance it keeps cascading down below $3k and I've lost track of how many times this has happened in history. BMNR - Tied with ETH fundamentally. PL - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. BKSY - Space stocks have gone up a lot, I think with stuff like RGTI and others, fundamentals haven't mirrored it's marketcap. Strong Sell RGTI - market cap extremely disconnected from valuation OKLO - market cap extremely disconnected from valuation IONQ - market cap disconnected from valuation QBTS - market cap disconnected from valuation -market cap disconnected from valuation There's obviously a macro overhead with China x USA trade wars going on, but none of this was new information (Chinese rare earth export controls have been known for awhile + US has already been tarrifing Chinese goods) We're heading into 2x more rate cuts priced in at 70% and large corrections to cleanse the overvalued froth and liquidate margins (eg. Crypto), will help the market go to higher highs. I will always recommend shares because with good companies, if you wait long enough they will likely outperform (but short term underperform if there's random macro risk). Mid term I'm the most bullish on Neoclouds for the next year during the rapid AI buildout -> Robotics/Space likely next frontier after that.
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关税冲击致市场恐慌，建议现金抄底非直接受损股，作者认亏持仓。
让人想起越南的闪回。 说笑归说笑，特朗普对中国进口商品加征100%关税并限制关键软件对华出口后，市场下跌超过3.65%。 这一突发事件是理性的重新定价，但也由恐惧和追加保证金通知（margin calls）所催化（盘后，例如$IREN下跌21%，或$BTC跌至10.7万美元）。 这通常预示着增长放缓和通胀上升（降息概率降低）。 然而，Polymarket和美联储期货数据仍显示到2025年有70-72%的概率进行3次降息。明年的中期选举通常对股市有利。而且我们正接近季节性行情的尾声，这通常对股市最有利。 当然，许多股票在交火中下跌，没有任何直接暴露，例如$UNH或$DKNG（例如Draftkings与中国、进口等无关，因为它是美国体育相关的，但下跌了9.4%）。 简而言之：可能是短期的关税冲击，轻微的宏观风险，以及由恐惧引发的整体抛售，但随后将恢复。 现在市场已关闭，在流动性低、利差大的时候（如盘后/隔夜）可以赚很多钱（在早期的关税事件中，$HOOD隔夜从45美元跌至28美元，随后大幅反弹至100美元以上）。 正是由于这类随机事件，我不建议持有期权，因为头寸可能会瞬间被核爆。 如果你持有现金头寸，去为极端抛售寻找便宜货，例如$CIFR下跌16%至14美元，而不是恐慌性地卖出你自己的头寸。 否则，这类事件通常只是短期的冲击，我们可能会看到在10月下旬降息前的恢复。当然，前提是股票没有像$QLCM、$NKE、$MU、$CDNS等那样受到中国收入的实质性影响。 （我没有预料到反应的严重程度，今天损失了不少，但将持有头寸）。
原推 ↗英文原文
Getting Vietnam flashbacks. Jokes aside, markets dropped 3.65%+ after Trump tarrifs Chinese imports by 100% and restricts the export of critical software to China. This surprise event was rational repricing but also catalyzed by fear + margin calls (after hours, with $IREN dropping 21% for example, or $BTC dropping to $107k). What this typically foreshadows is slower growth and higher inflation (lower rate cut odds). However, Polymarket and Fed futures data still shows 70-72% of 3 rate cuts by 2025. Midterm elections next year are also generally bullish for stocks. And we're approaching end of season seasonality, which is typically the best for stocks. And of course, many stocks dropped in crossfire without any direct exposure, such as $UNH or $DKNG (eg. Draftkings has nothing to do with China, imports, etc. since it's US sports related, but fell 9.4%) TLDR: likely a short term tariff shock, mild macro risk, and a overall sell-off from fear, but into recovery. Now that markets are closed, a lot of money can be made is in times of low liquidity high-spread like after-hours/overnight (during earlier tariffs, $HOOD dropped from $45 to $28 overnight then went on a massive rally to $100+). Random events like these are why I don't recommend options as positions can be nuked up in an instant. If you have cash positions, go bargain hunting for extreme selloffs, eg. $CIFR dropping 16% to $14, instead of panic selling your own positions. Otherwise, things like these are usually short term from shock, and we'll likely see a recovery frontrunning rate cut in late October. That of course if the stock isn't materially impacted from China revenue unlike $QLCM, $NKE, $MU, $CDNS, etc. (I didn't expect the extent of the reaction, lost a decent amount today, but will hold positions).
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博主解释因特定原因在ETF中增持美光科技。
@Deenobrown123 是的，这就是为什么我在 ETF 中加入了 $MU。
原推 ↗英文原文
@Deenobrown123 Yep, that's why I added $MU to the ETF.
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博主调整ETF持仓：大幅加仓AMD及新购多只AI/能源股，减仓部分股票以进行税务亏损收割。
哇，我在这个ETF上操作得极其激进，一切都涨得**很多。 不管怎样，以下是一些我会做的公司调整及解释： $AMD - +10%（重新评级） $FLY - +3%（新增） $WLAC - +1%（新增） $MU - +1%（新增） $FLNC - .5%（新增） $SEI - .5%（新增） $DFLI - - .25%（新增） _ 减仓（进行税务亏损收割 Tax harvesting） $ORCL $LULU $META $UPWK $ETOR $SNAP 其他小盘股 _ 以下是解释 $AMD - 刚刚获得了1000多亿美元的前瞻性收入，他们的季度收入几乎一夜之间翻倍，而且市场甚至还没有定价。极强的买入信号 $FLY - 44亿美元估值，从事类似$RKLB的小型至中型发射任务。让我想起RocketLab刚起步的时候，风险回报比很好。 $WLAC - Neocloud IPO，估值6亿美元（很低），EBITDA毛利率75%+，营收同比增长250%，很可能由Mag7（七大科技巨头）提供保底支持 $MU - 鉴于Stargate + OpenAI所需的基础设施量，内存需求旺盛 $FLNC + $SEI - 能源板块（高风险高回报） $DLFI - 电池板块（高风险高回报） 减仓 $ORCL - 在GPU建设方面遇到困难，这正好显示了超大规模云服务商和像$NBIS这样的Neocloud之间的护城河。直接购买Neocloud有更高的上行空间。 $LULU, $META, $UPWK, $ETOR, $SNAP. - 涨幅不大，我们要尽可能激进地持有赢家，并在完成税务亏损收割后回购，例如换成$AMD，以及获得更高回报的三次降息收益。 将在年底完成税务亏损收割后回购。
原推 ↗英文原文
Wow I cooked insanely hard with this ETF, everything is up a **** ton. Anyway, some company changes I'd make + explanations: $AMD - +10% (rerate) $FLY - +3% (new) $WLAC - +1% (new) $MU - +1% (new) $FLNC - .5% (new) $SEI - .5% (new) $DFLI - - .25% (new) _ Trim (Tax harvesting) $ORCL $LULU $META $UPWK $ETOR $SNAP Misc small caps _ Here's an explanation $AMD - Just got $100B+ in forward revenue lol, they almost doubled their quarterly revenue overnight and hasn't even been priced in yet. Extremely strong buy $FLY - $4.4B valuation doing small-medium lift launches like $RKLB. Reminds me of RocketLab when they first started, risk-reward is good. $WLAC - Neocloud IPO at $600m valuation (low) for something doing 75%+ EBITDA gross margin + 250% rev from last year + likely backstopped by Mag7 $MU - Memory in demand given the amount of infra required by Stargate + OpenAI $FLNC + $SEI - Energy Play (high risk high reward) $DLFI - Battery Play (high risk high reward) Trim $ORCL - Having trouble with GPU buildout, just goes to show the moat between hyperscalers and Neoclouds like $NBIS. Higher upside just buying Neoclouds. $LULU, $META, $UPWK, $ETOR, $SNAP. - Hasn't gone up much, we're playing as aggressive as possible with winners and will buy back once tax harvesting is done, eg. swap for $AMD, and higher return triple rate cut returns. Will buy back near EOY once tax harvesting is done.
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分析NBIS、AMZN、SNAP等个股机会，看好AI基建及降息预期。
10月6日周一收盘思考： - $NBIS 是极好的逢低买入机会。早盘上涨5.78%后回落2.38%。从 $IREN 到 $CIFR 的所有其他新云(Neoclouds)公司都守住了4%-14%+的涨幅。Nebius可能受期权资金流影响，预计很快会补涨，我维持 $225 的目标价(PT)。 - $AMZN, $META 是两只在未来2-3个月应跑赢大盘并补涨的七巨头(Mag7)成员。尤其是亚马逊。 - $SNAP, $RDDT 是两个不错的反弹标的。Snapchat尤其因为收入变现模式的改变。如果你有耐心持有股票一两年，我预期会有50%+的回报，只是取决于市场何时将其定价。并非每个人都有耐心，且将资金用于 $SNAP 而非新云(Neoclouds)的机会成本可能不划算。 关于Reddit，我一直认为ChatGPT引用是其暴跌29%的借口，所以我已买入。 - $SPRB 吸引了所有人的注意。我预计它将从7500万美元市值继续上涨至1.5亿-2亿美元，但这就像玩俄罗斯轮盘赌，通常在重大事件后2-3天就会发生稀释。 - 像 $RKLB 这样的股票，只需持有哈哈。即使它是我最高信用的5年期长线标的，也确实高估了，但此时它可能会像 $PLTR 一样表现。 - $AMD 与 OpenAI 的交易对半导体行业极度利好。我预计 $TSM, $ASML, 能源股和新云(Neoclouds)将从AI基础设施建设中受益。主要的负面因素是 $CRWV，因为其对 $NVDA 的依赖，以及显然的NVDA本身，但新云(Neoclouds)并未锁定单一玩家，且已锁定5-10年以上的合同。 这仅对 $NVDA 的护城河理念造成微小影响，但尚无实质性影响。 我个人认为AMD可能会像 $ORCL 一样在反弹后回调，然后当市场开始计入远期收入时，像 $AVGO 一样表现。 话说回来，我不知道OpenAI从哪弄来这么多钱，承诺给Oracle、AMD等这些十亿或百亿美元的交易，如果它们估值只有5000亿的话哈哈。 - 黄金每天创历史新高，仅仅表明 $BTC 始终是好的买入标的，即使在 $123k，如果它最终成为对抗通胀的对冲工具。其市值约为黄金的1/10。 - $LTC 仍然是很好的买入标的，因为ETF获批。由于政府停摆，人们只是忘记了它尚未发生，但最终应该会获批。 - $VIRT 在 $32.5 是极好的买入，我会在这个区间进行成本平均（抱歉如果你在 $36 买了看涨期权，我的仓位下跌了约35%）。但再次强调，这是对VIX的非对称对冲（VIX隐含波动率很高用于对冲，VIRT被低估~6.3倍远期市盈率，有回购和低隐含波动率），所以即使仓位下跌，你的其他股票应该会上涨以平衡。 - 仍在研究其他受益于基础设施建设的能源股、小盘股如 $EOSE、存储如 $MU 等，这些是粉丝推荐的。我尽量不在自己充分了解前谈论太多。 - 如果你使用杠杆或做多，现在是时候了，直到一月。三次降息，市场可能正在提前交易十月的降息。
原推 ↗英文原文
Monday October 6th Market Close Thoughts: - $NBIS extremely good dip buy. Down 2.38% after rising 5.78% in the morning. All other Neoclouds from $IREN to $CIFR held their 4%-14%+ gains. Nebius likely influenced by option flow, should play catchup soon and I stand by $225 PT. - $AMZN, $META two Mag7 that should outperform next 2-3 months and play catchup with the rest. Especially Amazon. - $SNAP, $RDDT two good recovery plays. Snapchat especially because of the revenue monetization changes. If you have the patience for shares for a year or two, I'd expect a 50%+ return, just whenever the market wants to price it in. Not everyone has patience and opportunity cost using the funds in $SNAP instead of Neoclouds might not be worth. Reddit I've maintained that the citations from ChatGPT is a BS reason for a 29% sell-off so I bought into it. - $SPRB caught everyone's attention. I do expect it to keep rising to a $150-$200m marketcap from $75m but it's like playing Russian Roulette, usually dilution happens 2-3 days after a major event. - Stuff like $RKLB, just need to hold lol. It's genuinely overvalued even if it's highest conviction 5Y long but at this point it might pull a $PLTR. - $AMD x OpenAI deal heavily bullish for semi industry. I expected $TSM, $ASML, energy stocks and Neoclouds to get a boost from AI infra buildout. Main negative ones were $CRWV, because of $NVDA dependencies and obviously NVDA, but Neoclouds aren't locked into one player, and they already have 5-10+ year contracts locked in. It just puts a tiny dent in the $NVDA moat idea but nothing material yet. I personally think AMD might pull an $ORCL where it dips past rally, and then ends up pulling an $AVGO when markets start pricing in forward revenue. Then again, I don't know where OpenAI is getting all this money to promise Oracle, AMD, etc. all these ten or hundred billion dollar deals if they're valued at 500B lol. - Gold rallying to ATH every day just signals that $BTC is always a good buy, even at $123k, if it ends up becoming a hedge against inflation. It's close to 1/10th the market-cap. - $LTC still a great buy because of ETF approval. There's the government shutdown so people just forgot it hasn't happened yet, but should get approved eventually. - $VIRT great buy at $32.5, I'd cost average around this range (sorry if you bought calls at $36, my positions are down 35% or so). But again it's an asymmetrical hedge to VIX (VIX IV very high for hedging, VIRT is undervalued ~6.3 forward p/e with buybacks an low IV), so even if positions are down, your other stocks should go up to balance it out. - Still looking into other beneficiaries of buildouts from energy stocks, small caps like $EOSE, memory like $MU, etc. that followers recommended. I try not to talk about something much until I'm informed myself. - If you're on leverage or going long, now is the time to do it until January. 3x rate cut, market probably frontrunning Oct rate cut now.
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感谢分享，正研究他股，稍后关注美光。
@Deenobrown123 @kermankohli 是的，感谢这篇分析文章。目前我正在对另一家公司进行深入研究，以便明天发布一篇投资论点(Thesis)帖子，之后我会再看 $MU。
原推 ↗英文原文
@Deenobrown123 @kermankohli Yeah thanks for the write up. Right now I’m doing a deep dive into another company right now for a thesis post tomorrow but will look at $MU next
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关注美光科技低前瞻市盈率，计划进行深入研究。
@Deenobrown123 如果美光科技($MU) 的前瞻市盈率(Forward P/E) 为 11，看起来很有前景。我会仔细研究一下，我还没有做过深入分析。
原推 ↗英文原文
@Deenobrown123 if $MU's forward p/e is 11 looks promising. ill take a closer look, i haven't done a deep dive yet
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讨论跟随散户交易标的及机构意图，并收藏推荐组合。
@taleino93 如果我们要跟随散户(WSB)群体，可以加入 $OPEN、$MU 和 $OKLO 的周权(Weeklies)期权，以及 SPY 的零日到期(0DTE)期权。 我有80%的把握认为，Citadel 等机构只是想让散户在那里亏钱。 不过，你的投资组合确实很有前景。我需要收藏一下，看看明年它的表现如何。
原推 ↗英文原文
@taleino93 add $OPEN, $MU + $OKLO weeklies, and SPY 0DTE if we wanted to follow the WSB crowd. I'm 80% convinced Citadel and others just want retail to lose money there. But yeah your basket also is pretty promising. I need to bookmark this to see how well it performs next yr.