$CIFR
观点汇总
由 AI 根据下方全部推文生成，仅为阅读辅助，以原推为准
Sereny 将 CIFR 视为“新型云服务商”（NeoCloud）的核心标的，其核心论点在于该公司获得了 Google 30 亿美元、为期 10 年的合同背书，这使其成为超大规模云厂商资本支出漏斗中的关键受益者。他看重 CIFR 在 AI 基础设施供应链中作为 Google 算力外包伙伴的瓶颈地位，认为其低债务、高毛利率及优于竞争对手（如 CRWV）的融资条款构成了坚实的基本面。观点演变上，他初期持谨慎观察态度，强调需深入研究；在确认稀释条款有利且股价因宏观因素过度反应后，迅速转为积极做多。他明确表态在股价下跌时逢低买入正股，并利用高隐含波动率激进卖出看跌期权或买入看涨期权以博取高收益，将其列为“买入”或“极强买入”等级，视其为 2025-2026 年最具非对称回报潜力的 AI 基础设施交易之一。
相关推文
共 197 条 · 按时间倒序 · 滚到底自动加载更多
-
博主转向关注上游瓶颈，预计能源和新云将因算力短缺跑赢。
@Schulz_Research 态势感知/Leopold 关于美国向推理(推理)和巨大能源需求转移的观点完全正确。我在2025年曾对 $IREN、$NBIS、$CIFR、$WULF 等新型云服务商(新云)持有类似论点。但我个人更转向关注上游瓶颈(上游瓶颈)和网络(网络)。不幸的是，基金未能完全熬过回撤。我们在内存集中度(内存集中度)上有重叠，但鉴于算力/容量短缺，我预计来自 $BE、$TE 的能源/电网或如 $SHAZ/$IREN 的新云将跑赢大盘。
英文原文
@Schulz_Research Situational Awareness / Leopold was completely right in terms of US shifting more toward inference + large energy demand. I had a similar thesis with Neoclouds like $IREN, $NBIS, $CIFR, $WULF, and others last year in 2025. But shifted more towards upstream bottlenecks + networking personally. It's just a little unfortunate the fund couldn't fully survive the drawdown. We did overlap in memory concentration but energy/grid from $BE, $TE, or neoclouds like $SHAZ / $IREN but I'd expect them to outperform given compute/capacity shortages.
-
博主惊叹半导体板块创纪录的单日强劲反弹行情。
哇，创纪录的单日反弹。 $SIVEF +30.89% $IQEF +28.6% $AEHR +26.53% $CIFR +17.82% $NBIS +17.3% $AAOI +15.6% $LPK +14.48% $AXTI +14.12% $MU +12.54% $SNDK +12.8% $SOI +11.1% $TSEM +10.39% $LITE +9.25% $INTC +8.22% $AMD +8.11% $MRVL +7.27%
英文原文
Wow, a historic single day recovery. $SIVEF +30.89% $IQEF +28.6% $AEHR +26.53% $CIFR +17.82% $NBIS +17.3% $AAOI +15.6% $LPK +14.48% $AXTI +14.12% $MU +12.54% $SNDK +12.8% $SOI +11.1% $TSEM +10.39% $LITE +9.25% $INTC +8.22% $AMD +8.11% $MRVL +7.27%
-
Neoclouds/Colo板块受新合同及算力短缺催化强劲复苏
$IREN 因将新 AI 云合同带来的 ARR 目标从此前水平上调至 40 亿美元以上，上涨 19.69%。其客户群现包括微软、英伟达、Perplexity 和 Figure。 $HUT 因一份 15 年期 98 亿美元的 AI 数据中心租赁协议上涨 10.45%。 $CIFR 上涨 16.76% $CLSK 上涨 13.7% $WYFI 上涨 9.18% $NBIS 和 $CRWV 还在慢慢磨（反应滞后）。 但看起来，随着 Kimi 算力短缺新闻和新合同等新催化剂的出现，Neoclouds/Colo 玩家正在强劲复苏。
英文原文
$IREN +19.69% after revising ARR target to $4B+ from new AI cloud contracts. Its customer base now includes Microsoft, Nvidia, Perplexity, and Figure. $HUT +10.45% off a 15Y $9.8B AI DC lease $CIFR +16.76% $CLSK +13.7% $WYFI +9.18% $NBIS and $CRWV are taking their time in the shower. But does look like Neoclouds/Colo players are sharply recovering following new catalysts, such as Kimi compute shortage news and new contracts.
-
说明NBIS对应META/MSFT，谷歌通过Fluidstack与CIFR/WULF做机房交易。
回复 @JonahK44：$NBIS 是 $META 和 $MSFT。 $GOOGL 通过 Fluidstack 做了很多交易，从 $CIFR 到 $WULF，获取更多托管机房。我猜是为了接入更多 TPU。
英文原文
@JonahK44 $NBIS is $META and $MSFT. $GOOGL has done a lot of Fluidstack deals with $CIFR to $WULF for more Colo. my guess is to plug in a lot more of their TPUS
-
复盘NBIS跑赢Neocloud篮子，接近1000亿市值预测。
$NBIS 有动漫剧情护甲！ 很高兴听说 Weebius 跑赢了市场和 Neocloud 篮子（$IREN / $CIFR）。 去年 MSFT 财报后，我在 Nebius 第四季度财报后给过一个预测：Nebius 会达到1000亿美元市值。 我们现在坐在600亿美元市值，越来越近了！
英文原文
$NBIS has anime plot armor! Happy to hear Weebius has been outperforming the market and Neocloud basket ( $IREN / $CIFR ). Last year post MSFT earnings, I gave a prediction after Q4 earnings, Nebius would reach a $100B MC. We’re currently sitting at $60B MC, getting close! https://t.co/e96TirkJT8
-
用命名对比说明对散户而言，酷一点的名字会更有吸引力。
@Sermario 不。你对场外散户说： “$CIFR 刚刚上线了 300MW 的 Barber Lake 数据中心！” 和 “$CIFR 刚刚在 Barber Lake 上线了 300MW 的 Leviathan Megacluster！” 你看看哪个更能吸引注意力、也更容易拿到估值溢价。
英文原文
@Sermario No. Tell a retail investor outside of X: " $CIFR just launched their 300MW Barber Lake datacenter!" vs. " $CIFR just launched their 300MW Leviathan Megacluster in Barber Lake". And see which gets more attention/valuation premium.
-
认为 neocloud 的数据中心如果有更酷的命名，估值可能会更高。
这是我的一个热观点： 像 $NBIS 或 $IREN 这样的 neocloud，如果把数据中心起个更酷的名字，估值可能会高 1.3 倍。 酷名字示例： - $POET 的 “Starlight” - $NVDA 的 “Blackwell” 但数据中心呢？ - $IREN 的 “Prince George” - $CIFR 的 “Barber Lake” 为什么要把 AI 数据中心命名成你的理发师名字，或者英国小孩的昵称？ 我发誓，除了现有投资者之外，没人会对 Iren 的 “Prince George” 数据中心上线感到兴奋。 但如果大家都看到 $NBIS 的 “Singularity” AI 数据中心上线，那听起来就酷多了。 Nebius 现在本该值 400 亿美元了。
英文原文
This is my hot take: Neoclouds like $NBIS or $IREN would command 1.3X higher valuation... If they renamed their datacenters to something cool. Cool Name Examples: - $POET "Starlight" - $NVDA "Blackwell" But datacenters? - $IREN "Prince George" - $CIFR "Barber Lake" Why are you naming an AI datacenter after your hair cut stylist or a British Kid nickname? I swear, nobody outside existing investors are going to hyped over Iren's "Prince George" datacenters coming online. But if everyone see's $NBIS "Singularity" AI DC coming online, that just sounds badass. Nebius would be worth $40B by now.
-
警惕与股票“结婚”，投资逻辑变化时应果断调整持仓。
大多数 X 用户都会犯与股票“结婚”的错误。 如果你的投资逻辑因 $HIMS 或 $IREN 发生实质性变化，你的持仓也应随之调整。 如果去年你对 $IREN 的看多逻辑是通过托管(Colo)业务变现 3GW 产能。 那么如果该公司： -> 在 122 亿市值下不可避免地向你稀释 60 亿美元 -> 在每次反弹中将这些股份抛向公开市场 -> 转向 GPU 业务 你的逻辑已经变了。 这很可能是一个退出以追求更具非对称性机会的时机。 如果你对 $HIMS 的逻辑是它是医疗界的亚马逊。 但如果他们被 $NVO 和美国政府起诉至绝境，退出是合理的。 但如果随着 $NVO 撤诉并达成合作，逻辑重新成立，那么再次做多也没有问题。 每个月都有许多因催化剂或基本面而改变的事情。 如果你仍在为必然发生的、针对你 $IREN 持仓的 60 亿美元新股抛售而欢呼。 而你唯一的理由就像 $AMC 投资者那样“信任管理层”。 也许现在是时候问问自己： 你是否因为与股票“结婚”而忽略了所有危险信号？
英文原文
Most people on X make the mistake of getting married to a stock. If your thesis materially changes with $HIMS or $IREN, so should your position. If the bull case with $IREN last year was monetizing 3GW capacity through colo. Then if the company: -> inevitably dilutes you $6B off a $12.2B MC -> sells those shares into the open market in every rally -> pivots to GPU offerings Your thesis has changed. And it’s likely a time to exit to pursue more asymmetric opportunities. If your thesis with $HIMS was that they’re the Amazon of healthcare. But they get sued to oblivion by $NVO and the US gov. It’s respectable to exit. But if the thesis is back online given $NVO dropping their lawsuit and partnering up, then there’s nothing wrong with going long again. A lot of things change every month with catalysts or fundamentals. If you’re still cheering on an inevitable $6B worth of new shares getting sold against your $IREN positions on every rally. And your only qualifier is “Trusting in Management” like $AMC investors. Maybe it’s a good time to ask yourself this: Are you ignoring every red flag because you’re married to the stock?
-
建议做多与谷歌有协议的电力股，避免稀释抛压。
@eddyluxe_ 如果存在电力需求，做多与谷歌(Google)有协议的 $WULF 或 $CIFR 可能是更好的主意。 这避免了 60 亿美元的新股稀释，以及在任何反弹中对你不利的抛压。
英文原文
@eddyluxe_ If there’s a demand for power, might be a better idea to long $WULF or $CIFR that have agreements with Google. It comes without a $6B new share dilution, and all that selling pressure against you in any rallies.
-
因巨额稀释及风险收益失衡，作者看空 $IREN 并推荐 $CIFR 和 $NBIS。
我看不到任何持有 $IREN 的 compelling case（有力理由）。 尤其是考虑到在 $128亿市值下新增 $60亿的股票稀释。 人们可能会看到市值膨胀至 $200-$250亿。 但他们的股份价值会随时间递减。 风险收益比已经不再存在。 像 $CIFR 这样的公司，通过 Fluidstack 为 $AMZN 和 $GOOGL 提供 Colo（数据中心托管）模式，提供了更具非对称性的上行空间。 而像 $NBIS 这样的公司则提供更好的多元化（Robotaxis（自动驾驶出租车）、ClickHouse），执行风险更低，且资本支出得到良好支持。 对于 $IREN，无法合理化接近市值一半的稀释并为此欢呼。 即使有新的 Hyperscaler（超大规模云服务商）交易，风险收益比也不存在。 我去年对 $IREN 看多，但已卖出。持有者经历了从： -> 3GW 容量，轻资产，Colo 模式（我曾看好） -> 为 $MSFT 购买 GPU 并为其转型的执行风险欢呼（我不看好） 到 -> 为 $60亿新股稀释欢呼，并在公开市场上被反向抛售。（AMC 接盘者领地） 如果你努力证明新的 ~50% 稀释是好事，且在你持仓被抛售时信任管理层： 抱歉告诉你，你现在加入了数据中心领域的 $AMC 等价俱乐部。 市场上有更好的多头标的。
英文原文
I see zero compelling case to hold $IREN. Especially given the new $6B share dilution at a $12.8B marketcap. People will likely see that marketcap inflate to $20-$25B. But the value of their shares decrease over time. The risk reward is just not there anymore. Companies like $CIFR offer much more asymmetrical upside given their colo model for $AMZN and $GOOGL through Fluidstack. And companies like $NBIS offer much better diversification (robotaxis, clickhouse), derisked execution, and are well supported for capex. With $IREN, there’s no way to justify being diluted close to half the market cap and cheering that on. Even with a new hyperscaler deal there’s risk reward is just not there. I was bullish $IREN last year but sold it. As holders went from: -> 3GW capacity, asset lite, Colo model (was a fan of this) -> Buying GPUs for $MSFT and cheering on execution risks from the pivot (not a fan) Into -> Cheering on $6B of new share dilution + getting sold on the open market against their positions. (AMC bagholder territory) If you’re trying hard to justify why new ~50% dilution is a good thing sold against your positions and trusting in management: Sorry to tell you, that you’re now in the $AMC equivalent club for datacenters. There are much better longs out there.
-
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
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, $WULF
-
深度解析$IQE：通过出售台湾业务去债，转型InP光子学产能，类比矿企转AI。
深入解析 $IQE（市值1.79亿美元）： IQE隐藏的磷化铟(InP)期权价值 vs LandMark 35亿美元的估值。以及 $IREN / $CRWV 等“矿企”向光子学(Potonics)转型的逻辑： 此前我做过一个高层级的“淋浴思考”概览，例如 $AXTI -> $IQE -> $LITE -> $GOOGL TPUs，但这次是更深入的尽职调查(DD)。 基本上：IQE是全球最大的独立商用化合物半导体外延晶圆代工厂，按反应炉数量和物理产能计算。 然而，由于受困于低毛利的传统无线业务和短期流动性约束，其估值处于困境状态。 LandMark Optoelectronics (TPEX: 3081) 是最接近的对比标的。作为800G和1.6T光互连市场中AI InP需求的纯代理标的，LandMark市值约38亿美元，相比市值1.75亿美元的 $IQE 享有巨大溢价。 但如果深入看底层硬件，这种脱节非常有趣： LandMark的运营规模在物理上受限。据估计，他们在台湾单一校区仅运营约27-30台金属有机化学气相沉积(MOCVD)反应炉。 相比之下，IQE在全球拥有超过100台MOCVD和分子束外延(MBE)系统。 IQE光子学资产基础的潜在重置价值和结构性产能似乎远超其当前公开市场估值。 这有点像比特币矿企拥有3GW产能 vs 750MW产能，如果进行转换，前者有巨大的变现期权价值。 我们也看到了光模块瓶颈： -> 下游对光收发器(Optical Transceivers)的需求正在以前所未有的速度加速。 -> 来自 $GOOGL、$MSFT、$AMZN 等的极端需求直接向上游硬件供应链传导。 这给Innolight等光模块集成商、$COHR、$LITE 和 $AVGO 等光组件制造商，以及最终为 foundational 激光芯片生长原始外延晶圆的商用外延代工厂带来了巨大压力。 由于其他玩家触及物理产能天花板，像 $COHR 这样的垂直整合玩家已满载，超大规模云厂商和模块制造商迫切需要在 $IQE 这样的玩家中寻找替代产能。 而且... 隐藏在IQE合并报表之下的是大量的 Aixtron AIX 2800G4-TM 反应炉。 这些反应炉原生具备双能力(GaAs/InP)，可以以相对较低的成本（每台50万-150万美元）重新用于InP生产，但需要数月或一年时间来重构。当然，执行层面增加了资格认证和良率风险（类似于比特币矿企对GPU进行软件编排，如 $CRWV）。 但无论如何，IQE拥有类似 $IREN 或转型HPC的比特币矿企那样的产能。而LandMark证明了纯代理标的带来的估值溢价。 核心问题.. 释放被困价值： 虽然IQE的营收远高于LandMark，但由于4500万英镑的总债务，其股价（1.75亿美元市值）被定价为破产边缘。 但对超大规模云厂商来说，这笔债务微不足道： 其正在进行的由Lazard指导的战略审查的明确目标是：最终完成IQE台湾（传统GaAs无线业务）的出售，并利用所得资金彻底且永久地消除母公司的限制性债务结构。 再次强调，其可转换贷款票据面值2120万英镑，公司实收1800万英镑。净债务为2350万英镑。 -> 需要立即清除的债务负担：2350万英镑汇丰设施 + 2120万英镑CLN = 约4500万英镑。 假设IQE台湾单元以1亿至1.5亿英镑的高价出售（不保证），IQE在完全无债后将获得5000万至1亿英镑的盈余现金。 然而，射频GaAs目前并不“热门”，因此在困境资产出售中可能仅值5000万至6000万英镑，这足以清偿债务，但缓冲空间很小。 地缘政治转向： 一旦无债，IQE可以将其在北卡罗来纳州和威尔士等地大量闲置的制造产能转向数据中心InP外延晶圆市场。 这为光子学中最关键的瓶颈创造了一条完全资本化、纯西方的供应链，在美国和英国高度重视国内半导体基础设施之际，减少了对亚洲的依赖。 基本上，鉴于 $IQE 拥有的原始资产数量： -> 成功出售台湾业务将消除持续经营风险，清除所有债务，并让他们直接向Tier 1光模块玩家变现其6英寸InP外延晶圆技术。 这是一笔基于成功重组以释放被困价值的深度资产价值交易。且它已是超大规模云厂商光网络的知名供应商（并非科学实验项目）。 下行风险是过度稀释和重组失败。但鉴于其对西方供应链和超大规模云厂商供应链的地缘政治重要性，似乎有更多缓冲。 我个人决定将其作为巨大的潜在反转机会做多。但再次强调，这不适合所有人，风险极高。 TLDR： -> IQE被定价为困境中的射频供应商。 -> 它拥有真正具备光子学能力的硬件基础设施。 -> 如果4100万英镑总债务被移除，且管理层将资本支出重新分配给InP，股权可能大幅重估。 -> 重组+产能期权交易，风险极高但上行空间也极大。 最接近的类比是 $IREN 或 $CIFR 等将GW产能转向AI HPC的比特币矿企。他们拥有大量物理硬件（GW产能），需要资金进行转型（通过出售台湾业务或稀释）。 我乐观地认为他们能做到（像 $INTC 那样，鉴于其对西方的地缘政治重要性，有回旋余地）。 下行风险是极端稀释，这始终是一种可能性（意味着你的股权可能被清零以清偿债务或帮助重构）。 我只是发现4500万英镑总债务（占流通股本+债务的14.4%）并非不可承受，且管理层正试图通过资产出售而非股东稀释来清除债务。 只想发布更深入的拆解和这个非常二元化的**高风险**但潜在高回报交易更多风险。
英文原文
Here's a deeper look into $IQE ($179M): IQE's hidden InP optionality versus LandMark's $3.5B valuation. And the $IREN / $CRWV "miner" pivot to photonics: Before I did a high-level shower thought overview eg. $AXTI -> $IQE -> $LITE -> $GOOGL TPUs, but this is slightly more DD. Basically: IQE is the largest independent merchant compound semi epitaxial foundry in the world by reactor count and physical capacity. However, it's trading at distressed valuations because it's burdened by a low-margin legacy wireless business, and near-term liquidity constraints. LandMark Optoelectronics (TPEX: 3081) is the closest comparison. As a pure-play proxy for AI InP demand in the 800G and 1.6T optical interconnect market, LandMark commands a ~$3.8B billion market cap with large premiums in comparison to $IQE which is trading at a $175M MC. But if you look deeper at the physical hardware, the disconnect is pretty fascinating: LandMark's operational scale is physically limited. They only operate around 27 to 30 Metal-Organic Chemical Vapor Deposition (MOCVD) reactors out of a single campus in Taiwan per some estimates. IQE, by stark contrast, possesses well over 100+ MOCVD and MBE systems globally. The underlying replacement value and structural capacity of IQE’s photonics asset base looks to vastly exceeds its current public market valuation. Kind of like if a Bitcoin miner has 3GW capacity, vs 750 MW, there's large optionality to monetize it if they convert it. And we're seeing an transceiver bottleneck too: -> The downstream demand for optical transceivers is experiencing unprecedented acceleration. -> Extreme demand, from $GOOGL, $MSFT, $AMZN and others flow directly up the hardware supply chain. This puts immense pressure on transceiver integrators like Innolight, optical component manufacturers like $COHR, $LITE, and $AVGO, and ultimately, the merchant epitaxial foundries that grow the raw epiwafers required for the foundational laser chips. And since other players are hitting a physical capacity ceiling, vertically integrated players like $COHR are capped out, hyperscalers and module makers are desperate for alternative capacity in players like $IQE And.. Hidden entirely beneath IQE's consolidated corporate lines is a massive fleet of Aixtron AIX 2800G4-TM reactors. These are natively dual-capable (GaAs/InP) and can be repurposed for InP production at a relatively modest cost ($500K-$1.5M per reactor) but take few months or year to refactor. And obviously qualification and yield risk added to execution (similar to Bitcoin miners doing software orchestration to GPUs like $CRWV). But still, IQE has the capacity kinda like $IREN or Bitcoin miners that pivoted to HPC. And LandMark is proof of the valuation pure play exposure brings. The Major Question.. Unlocking Trapped Value: While IQE generates significantly higher top-line revenue than LandMark, it's priced ($175M MC) for bankruptcy because of its gross debt of 45M. But the debt looks like pennies to hyperscalers: The explicit, stated goal of their ongoing Lazard-advised strategic review is to definitively conclude the sale of IQE Taiwan (their legacy GaAs wireless business) and utilize the proceeds to completely and permanently extinguish the parent company's restrictive debt profile. Once again their convertible loan notes is a norminal face value of £21.2 million, for proceeds of £18 million for the company. Then they're net debt, £23.5 million. -> The immediate debt burden requiring clearance: £23.5M HSBC facility + £21.2M CLN = ~£45M. Assuming a highly sale price for the IQE Taiwan unit of between £100 million and £150 millio (not guaranteed), IQE would net £50 million to £100 million in surplus cash after becoming completely debt-free. However, RF GaAs is not currently "hot", so in a distressed asset sale it might only be £50M to £60M, which gives it enough room to clear debt alone and little cushion room. The Geopolitical Pivot: Once debt-free, IQE can shift its massive, currently underutilized manufacturing capacity in places like North Carolina and Wales toward the InP epiwafer market for datacenters. It creates a fully capitalized, purely Western-based supply chain for the most critical bottleneck in photonics, eliminating more dependency on Asia at a time when the US and UK are heavily prioritizing domestic semiconductor infrastructure. Basically, just given the amount of raw assets $IQE has: -> Successfully selling off their Taiwan business wipes out the going-concern risks, clears all debt, and leaves them to monetize their 6-inch inp epiwafer tech directly for the Tier 1 optical transceiver players. It's a deep asset value trade on a successful restructuring to unlock trapped value. And a currently well-known supplier for optical networking for hyperscalers (so not a science project). Downside risks are excessive dilution and failure to restructure. But given it's geopolitical importance to Western supply chains and hyperscaler supply chains, it seems to have more cushion. I personally decided to enter this long as a massive potential turnaround. But again, it's not for everyone and it's extremely high risk. TLDR: -> IQE is priced like a distressed RF supplier. -> It owns real photonics-capable infrastructure. -> If gross 41M debt is removed and management reallocates capex toward InP, the equity could rerate materially. -> Restructuring + capacity optionality trade with extreme risk but extreme upside. Closest comparison is Bitcoin miners like $IREN or $CIFR that pivot their GW capacity to AI HPC. They have a ton of physical hardware (GW capacity), and need funds to pivot (either through sale of Taiwan business or dilution). It's an optimistic trade I took they can do it (with wiggle room like $INTC given their geopolitical importance to the West). The downside is extreme dilution, which is always a possibility (meaning your equity gets wiped out to 0 to clear their debts or to help them refactor). I just found that 45M gross debt (14.4% of float + debt) wasn't the most and management was looking to clear that through asset sales rather than dilution to shareholders. Just wanted to publish deeper breakdown and more risks of this very binary **high risk**, but potentially high upside trade.
-
博主复盘YTD 316%收益，分享交易策略、核心持仓优势及免费分享初衷。
年初至今：316.4% 从2026年1月到2026年2月。 对我短期交易和多头持仓的回顾： > 年初对像 $GLXY、$SMCI 和 $IREN 这样进行税务收割(tax harvested)的股票进行波段交易(swing traded) > 搭乘委内瑞拉股票从 Gold Reserve、$AVAV 到 $CVX（看涨期权）上涨的顺风车 > 在战争入侵后买入像 $LPTH、$OSS、$AIRO 这样的国防股，以及受“跟随领导者”催化剂驱动的 $ONDS > 对 $INTC 进行催化剂交易，并正确把握了财报时机。 > 因对线色变化(wire color change)的担忧而对 $CRDO 进行波段交易 > 在超大规模客户损失(hyperscaler client losses)被错误报道后对 $MRVL 进行波段交易 > 像 $META 一样正确预判了财报 > 在 $NBIS 和 $CIFR 大幅抛售至 $70 和 $11 时，通过保证金(margin)加仓 > 从 $HOOD 下跌到 $CRDO 下跌再到复苏的过程中进行波段交易。 > 在比特币跌至 $73k 时买入，并在 $62k 时大量使用保证金博取复苏 > 像 $ETOR 这样的复苏股在抛售和财报后表现良好。 > 正确把握了像 $RPI 这样的公司的催化剂 > 利用亚洲股票与欧洲/美国时区之间的时间滞后套利(time lag arbitrages) > 利用 $EWY 和其他指数的隐含波动率扩张(IV expansion) > 把握轮动进入电力/电网股如 $XLU 的时机，目前正对像 $RDDT 这样的股票进行波段交易， 我肯定漏掉了一些，但这些是我主要发布的内容！ 此外，我会进行日内交易(day trade)： 例如 $ORCL 因发行导致8%抛售后的复苏，或 $SOFI 因无关紧要的卖方降级导致随机10%抛售。 我不在主时间线发布这些内容，因为我不想影响人们的买卖决策。 只想提供方向性思路，让人们得出自己的结论。 除此之外，我很高兴今天一切都上涨了，包括我的对冲(hedges)头寸。 与此同时，我的核心多头组合来自： - 从 SK Hynix 到 $AXTI 的光子学(Photonics)和存储，以及像 $AEHR 和 $FORM 这样的供应链瓶颈，其表现远超 Burry 的 $PLTR 每年 $415 的回报。 - 来自韩国/日本股票如 Nittobo、Kioxia 和 Unimicron 的多头持仓，有力支撑了美股回撤。 并非我组合中的所有股票都是绿色的，如 $CRCL、$CPSH、$VLN、$NBIS 或最近的 $INFQ。 但重要的是绿色持仓的集中度高于红色。与此同时，SPY 年初至今仅为 .55%，大多数高贝塔(high beta)股票年初至今大幅下跌。 我也不希望大家跟随我所有的操作，因为板块轮动、期权套利和基板瓶颈(substrate bottlenecks)很难消化。由于我也根据宏观/财报催化剂在约30只股票之间轮动，而大多数人只关注几只并持有数年。 但是，当2025年第四季度的短期回撤（如果人们买了短期期权）出错时，确实让人难受，直到现在才恢复超过平均成本。 然而，我对核心多头如 $NBIS 最终将大幅跑赢市场非常有信心。 希望大家能从中获得一两个有趣的交易思路或学到一些东西！ —— 只是有些反思，我认为我最近受欢迎的一个原因是我没有试图推销任何东西。这也不是我的全职工作（我经营一家科技公司），我只是出于乐趣做这件事，所以对最近的受欢迎程度感到非常惊讶。 我认为我的优势可能是信息综合与映射 -> 发现市场遗漏的阿尔法(alpha) -> 转化为金融科技和半导体领域的可执行多头思路。 与发布突发新闻或擅长拆解一两只特定股票的账户相比。 无论如何，我免费发布所有想法只是为了在能帮助他人时获得满足感。 所以，人们觉得我的想法有趣或信号足够强而愿意倾听，这让我心存感激。
英文原文
Year to Date: 316.4% From January 2026 into February 2026. Reflection of my short term trades and longs: > Swing traded tax harvested stocks like $GLXY, $SMCI, and $IREN start of the year > Rode Venezuela stocks from Gold Reserve, $AVAV, to $CVX (calls) up > Bought into defense like $LPTH, $OSS, $AIRO after invasion from war + $ONDS “follow the leader” catalyst > Catalyst traded $INTC and timed earnings correctly. > Swing traded $CRDO off wire color change fears > Swing traded $MRVL after erroneous reporting on hyperscaler client losses > Got earnings right like $META > Portfolio margined into $NBIS and $CIFR on the major selloff to $70 and $11. > Swing trades things from $HOOD drop to $CRDO drop into recovery. > Bought Bitcoin dip to $73k and heavy margin on $62k into recovery > Recovery plays like $ETOR after selloff and ER helped. > Getting catalysts on companies like $RPI correct > Time lag arbitrages between Asian equities and European/US time zones. > IV expansion off $EWY and other indexes. > Timing rotation into power/grids like $XLU and currently swing trading stuff like $RDDT, I’m sure I missed a bunch but these were the main ones I posted about! On the side I would day trade: Eg. $ORCL 8% selloff from offering into recovery or random 10% selloffs on immaterial $SOFI sellside downgrades. I don’t post stuff like these on my main timeline since I don’t want to influence when people buy/sell. Just want to give directional ideas and let people come to their own conclusions. Aside from that I’m happy everything went up today, including my hedges. This is all while my core long portfolio from: - Photonics and memory from SK Hynix to $AXTI to supply chain bottlenecks like $AEHR and $FORM have been mogging Burry’s $PLTR $415/year returns. - Longs from Korean/Japanese equities like Nittobo, Kioxia, and Unimicron have hard carried US equity drawdowns. Not everything in my portfolio is green like $CRCL, $CPSH, $VLN, $NBIS or recently $INFQ. But what matters is you have more concentration in green than red. This is all while SPY is YTD: .55% and most high beta stocks are heavily red YTD. I also don’t want people to follow along everything since sector rotation, option arbitrage, and substrate bottlenecks are hard to digest. Since I also rotate around like 30 different stocks based on macro/earning catalysts, whereas most people focus on a few and hold on for years. But it does hurt when more if get something wrong with short term drawdowns from Q4 2025 (if people bought short term options) and it’s only now recovered past cost average. However, I’m extremely confident in core longs like $NBIS to strongly outperform in due time. Hopefully people can take away one or two trade ideas that they find interesting or learn something! —— Just some reflection, i think a reason for my recent popularity is I’m not trying to sell anything. This is also not my full time job (I run a tech company) and I was just doing this for enjoyment, so very surprised by the recent popularity. I do think my edge is probably information synthesis and mapping -> discovering alpha markets missed -> into actionable long ideas across fintech and semis. Compared to accounts that publish breaking news or excel in breakdowns of one or two specific stocks. Regardless, I publish all my ideas for free just to get fulfillment if I can help others. So it does bring me gratitude that people find my ideas interesting or high-signal enough to listen.
-
OpenAI警告电力是AI竞争核心瓶颈，看好美国能源基建股。
@toptickcrypto 存在多个瓶颈。电力/电网是其中最大的瓶颈之一。 OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在 AI 领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网-能源/存储 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风因素。 备忘录的核心问题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告是能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的 AI 能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得 AI 竞赛。 他们的信息是：投资美国能源。
英文原文
@toptickcrypto There's multiple bottlenecks. Power/grid is one of the largest ones. https://t.co/rIKoKRyQOu
-
因比特币相关性担忧看空CIFR/IREN，看好NBIS。
鉴于比特币近期价格下跌，在它们与比特币的相关性降低之前，我持负面看法。像 $NBIS 这样的新云公司是该板块更纯粹的标的。据我回忆，$CIFR 的资产负债表中有大量比特币敞口，且 $IREN 的很大一部分利润来自比特币挖矿。营收数据噪音很大，因为比特币挖矿收入与高性能计算(HPC)收入对资产负债表的影响截然不同。但随着规模扩大，这种影响应该会减弱。
英文原文
Negative until they have less correlation with Bitcoin given Bitcoin's recent price drop. Neoclouds like $NBIS are a bit more pure play to the sector. Last I recall, $CIFR balance sheet had a lot of Bitcoin exposure and a lot of $IREN's profit comes from Bitcoin mining. Revenue numbers are a lot of noise since revenue from Bitcoin mining vs HPC hits the balance sheet a lot different. But as they scale up, it should be less materially impacted.
-
OpenAI警告国会：电力供应是AI竞争核心瓶颈，需投资美国能源。
OpenAI 就 Deepseek 蒸馏问题向国会发送了一份备忘录： “维持美国在人工智能领域的优势，取决于我们能否可靠地大规模生成和输送电力。” 电力输送 - $VRT, $ETN, $PWR, $WMB, $KMI 一级能源供应商：$CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D 电网能源/储能 - $TSLA, $FLNC, $NRGV, $BE 能源：$TE, $FSLR, $NRG 这对这些公司来说是一个被重申的顺风因素。 而对于那些已经锁定吉瓦(GW)级容量的公司，如 $IREN, $NBIS, $WULF 和 $CIFR，则存在二级顺风效应。 备忘录的核心议题围绕知识产权盗窃和国家安全问题。但关于维持优势的最大警告在于能源。 OpenAI 警告国会，2024年中国新增了429吉瓦(GW)的电力容量，这超过了美国整个电网的三分之一，也超过了全球电力增长的一半。他们认为，如果没有对美国电网进行激进扩张，中国“蛮力”式的能源建设最终将使其超越西方的AI能力。 光子学(Photonics)、先进封装(Advanced Packaging)和存储(Memory)是目前增长最快的三个瓶颈。然而，OpenAI 明确警告美国政府，谁能产生最多的电力，谁就能赢得AI竞赛。 他们的信息是：投资美国能源。
英文原文
OpenAI sent a memo to congress regarding Deepseek distillation: "Sustaining the American advantage on AI depends on depends on whether we can reliably generate and deliver power at scale." Power Delivery - $VRT, $ETN, $PWR, $WMB, $KMI Tier-1 Energy Providers: $CEG, $VST, $TLN, $GEV, $NEE, $BEPC, $D Grid-Energy / Storage - $TSLA, $FLNC, $NRGV, $BE Energy: $TE, $FSLR, $NRG This is a tailwind reiterated for these companies. And there's a second-order tailwind for companies that already secured GW capacity like $IREN, $NBIS, $WULF, and $CIFR. The core issue of the memo was around IP theft and national security issues. But the largest warning about sustaining an advantage was Energy. OpenAI warning Congress that in 2024, China added 429 Gigawatts (GW) of new power capacity, which was more than a third of the entire US grid and more than half of global electricity growth. Without a radical expansion of the American power grid, they believe China’s "brute force" energy buildout will eventually allow them to surpass Western AI capabilities. Photonics, Advanced Packaging, and Memory are three fastest growing bottlenecks right now. However, OpenAI explicitly warned the U.S. government that whoever generates the most power wins the AI race. Their message: Invest in American Energy.
-
谷歌转向TPU利好相关托管商，NBIS非其受益者。
@lawbrax 这对通过 Fluidstack 与 $GOOGL 相关的托管设施(Colo)公司，如新云(NeoCloud)领域的 $CIFR 和 $WULF 是利好消息。 看起来谷歌主要转向张量处理单元(TPU)了。我认为 $NBIS 并非谷歌的受益者，但他们曾是 $META 的受益者。
英文原文
@lawbrax This is positive for $GOOGL related colo companies through Fluidstack like $CIFR and $WULF in neocloud sector. Looks like Google is primarily shifting to TPUs now. Don't think $NBIS is a beneficiary of Google but they were with $META.
-
高贝塔股今日大跌，预计中期选举前市场将广泛复苏。
@soulbiri1 是的，今天高贝塔(高Beta)股票的表现极其糟糕。$CRDO、$IREN、$CIFR 等个股遭到重创。 $AMD 下跌 -17%，甚至 $MSFT 在过去两个月也下跌超过 -22%。 我预计随着今年晚些时候中期选举的临近，我们将看到更广泛的复苏。
英文原文
@soulbiri1 Yeah today was extremely rough for high-beta. $CRDO, $IREN, $CIFR, and others just got nuked. $AMD down -17%, even $MSFT down -22%+ past two months. I'd expect when Midterms come around later in the year, we'll see a broader recovery.
-
看空CRWV因债务与折旧风险，建议多NBIS/CIFR空CRWV对冲。
$CRWV 可能是我能想到的唯一一家市值超 500 亿美元且很可能破产的公司。至少 $ORCL 拥有盈利的核心业务，并持有大量资产，例如 15% 的 TikTok 股份。 对我来说，做空 Coreweave 的理由很明确，纯粹因为其大部分收入将用于支付债务利息。再加上 GPU 折旧，情况更是雪上加霜。 但进行对冲是个好主意。我个人会做多 $NBIS、$CIFR，同时做空 $CRWV，这对长期投资来说似乎不错。Nvidia 目前仍在维持它们的生存。
英文原文
$CRWV is probably the only $50B+ company I can think of that is likely going to go bankrupt. At least $ORCL has a profitable core business and owns tons of assets like 15% of Tiktok. Coreweave is a clear short to me purely because a large part of their revenue will be used to pay off debt interest. Then you compound that with GPU depreciation. But it's a good idea to hedge. I would personally long $NBIS, $CIFR short $CRWV, seems decent for long term. Nvidia is keeping them alive for now.
-
看好NBIS和CIFR，指出Coreweave高息债务侵蚀现金流。
我认为 $NBIS 目前极具吸引力。$CIFR（指其托管业务而非新云业务）等特定个股也是如此。相比之下，$CRWV 的说服力则稍逊一筹。 Nebius 的商业模式本质上是将五家年同比增长(Y/Y)达100%的公司合并而成。（包括与 $UBER 合作的自动驾驶公司 Avride、估值约150亿美元的 Clickhouse、AI 标注公司 Toloka 以及教育科技公司）。此外，还包括其核心业务部门，该部门已实现约70亿美元的年度经常性收入(ARR)。 因此，尽管我们需要通过实际产生的自由现金流(FCF)来仔细审视这些乐观的收入数据，但公司方面表示长期 EBIT 利润率有望达到20%~30%。 最关键的差异在于，Coreweave 超过12亿美元的债务利息正在侵蚀其自由现金流，而其他公司则获得了2~3%的低利率融资。
英文原文
저는 $NBIS 가 현재 매우 매력적이라고 생각합니다. $CIFR(네오클라우드가 아닌 코로케이션 부문) 같은 특정 종목들도 마찬가지입니다. 반면 $CRWV 는 그만큼 설득력이 있지는 않네요. 네비우스(Nebius)의 비즈니스 모델은 기본적으로 전년 대비(Y/Y) 100%씩 성장하는 5개의 회사가 하나로 합쳐진 형태입니다. ($UBER와 협력하는 자율주행 Avride, 약 150억 달러의 가치로 평가받는 Clickhouse, Toloka(AI 라벨링), 그리고 에듀테크). 여기에 약 70억 달러의 ARR(연간 반복 매출)을 기록한 주력 사업 부문이 포함됩니다. 따라서 이러한 낙관적인 매출 수치들은 실제 창출되는 FCF(잉여현금흐름)를 통해 면밀히 살펴봐야 하겠지만, 사측에서는 장기적으로 20%~30%의 EBIT 마진을 제시하고 있습니다. 가장 중요한 차이점은 코어위브(Coreweave)의 경우 12억 달러 이상의 부채 이자가 FCF를 잠식하고 있는 반면, 다른 기업들은 2~3% 수준의 저금리를 확보했다는 점입니다.
-
对比新型云融资结构，指出Coreweave债务风险高且英伟达损失可控。
其他如 $CIFR、$WULF 是数据中心托管(colocation)商，它们不购买 GPU。$CRWV、$NBIS、$IREN 则购买。前两家由 $NVDA 注资。后者 $IREN 由 $MSFT 通过预付款购买 GPU。大多数新型云(neoclouds)拥有极佳的融资结构，如 Nebius 的低息可转换债券。Coreweave 是唯一陷入困境的，背负巨额债务，因此若无垃圾债(junk bonds)支持，很难获得额外资金购买更多 GPU。英伟达给 Coreweave 泼了冷水，投入 Coreweave 的 20 亿美元最终仍回流至 $NVDA。如果 Coreweave 因巨额债务和贬值的 GPU 而倒闭，英伟达损失并不大。
英文原文
Others like $CIFR, $WULF are colo. They don't buy GPUs. $CRWV, $NBIS, $IREN do. The first two $NVDA funded. The latter one, $MSFT did with prepayment for Iren to buy GPUs. Most neoclouds have great financing structures like low interest rate Nebius convertible notes. Coreweave is the only one on fire, with massive debt, so it's harder for them to secure additional funding to buy more GPUs without junk bonds. Nvidia threw a bucket of water on Coreweave and the $2B into Coreweave goes back to $NVDA anyways. Nvidia doesn't lose much if and when Coreweave goes under with just a ton of debt and depreciating GPUs.
-
发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$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。
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.
-
区分数据中心重估与新瓶颈发现的投资逻辑差异。
像 $NBIS 或 $CIFR 这样的公司是 2026 年高确信度的标的。但这与一家市值 5000 万美元的小众公司突然因 $NVDA 或 $MSFT 囤货而需求激增的情况不同。数据中心(DC)相关股票可能获得 1 年 2-3 倍的估值重估，但这与新瓶颈带来的 2000%+ 信息发现效应截然不同。像 $UUUU 或 $MP 这样的已知瓶颈也是如此。话说回来，我在文章中把磷化铟(indium phosphide)和导弹拼错了，可以看出我是手写的（也很尴尬）。
英文原文
Companies like $NBIS or $CIFR are high conviction for 2026. But it’s not the same as a small $50m niche company, suddenly being in over-demand from $NVDA or $MSFT stockpiling inventory. You might get a 2-3x 1Y re-rating with DCs but it’s a different story than 2000%+ information discovery of a new bottleneck. Same with known bottlenecks like $UUUU or $MP That being said I also misspelled indium phosphide and missiles in my article so you can tell I hand wrote it (also embarrassing)
-
分析AI算力股与云厂商的算法关联及市场定价不确定性。
$GOOGL / Gemini 可能正在公开为这一结果欢呼。像 $CIFR 这样的公司主要通过 Fluidstack 与 Google 紧密绑定。然而，正如我们在上一轮下跌中所见，$NBIS 到 $IREN 在算法上被关联到 Oracle 和 Coreweave，无论 OpenAI 的关系影响如何。不确定市场这次会如何对此进行定价。
英文原文
$GOOGL / Gemini is probably openly cheering for this outcome. Companies like $CIFR are largely tethered to Google through Fluidstack. However, as we've seen last drop, $NBIS to $IREN were algorithmically associated with Oracle and Coreweave regardless of OpenAi relational impact. Not sure how markets price this in this time.
-
NBIS受ATM及CRWV影响，其他数据中心股表现良好，IREN异常。
@_visionarius $NBIS 正在运行一笔2500万股的主动式按需发行机制(ATM)，近期其表现更多与 $CRWV 的走势挂钩。其他数据中心(Colo)玩家表现良好，如 $HUT、$CIFR、$WULF。唯一的异常是 $IREN。
英文原文
@_visionarius $NBIS has an active 25M share ATM running and it's more tied to $CRWV's performance recently. The other colo players have been doing well, like $HUT, $CIFR, $WULF. The only anomaly is $IREN.
-
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。
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. $ZETA -2.36% Here's how FinX did last week: FinX 15 Return (1-Week): 11.3% For the entire 2025 calendar year: - WallStreetBets = +76.00% - Bridgewater’s Pure Alpha II = +34% - ARKK Innovation ETF = +35.5% - Perishing Square = +25.3% - SPY Index = +17.72% - Poinpoint Multi-Strategy = +11.6% - - Berkshire Hathaway = +11.4% - Millennium Management = +10.5% - Citadel = +10.5% The Bottom Line: In just 5 trading days, the FinX community beat Citadel’s entire year. We are officially smoking the institutions entering 2026
-
博主回复称多数持仓及存储股今日表现强劲，普涨。
@soulbiri1 大多数东西开局都不错，哈哈。$CRWV、$CIFR 和 $AAOI 均上涨超过 10%。$NBIS 上涨 7%，$SMCI 上涨 6%，$MRVL、$MSTR、$TSM 上涨 5%。你所有的存储(Storage)股票每天都上涨 8%。除了少数几只，到处一片绿色(上涨)。
英文原文
@soulbiri1 Most things are off to a good start lol. $CRWV, $CIFR, to $AAOI both up over 10%. $NBIS up 7%, $SMCI up 6%, $MRVL, $MSTR, $TSM up 5%. All your memory stocks are up 8% every day. Green everywhere aside from a few
-
看好新云板块多数股票，认为WYFI等估值重置后极具吸引力。
几乎所有新云(Neocloud)板块的股票都是极其坚实的买入标的（也许除了 $SLNH）。$WYFI 算是与 NScale 达成 8.65 亿美元协议的 T2 层级玩家。但其估值已从 40 美元完全重置至 15 美元。因此，它与 $NBIS、$IREN、$CIFR、$WULF 及其他股票一样，是极具吸引力的买入选择。
英文原文
Almost every Neocloud segment stock is a extremely solid buy (maybe aside from $SLNH) $WYFI is kinda T2 with NScale's $865m agreement. But it's valuation got completely reset from $40 to $15. So it's an extremely attractive buy up there along with $NBIS, $IREN, $CIFR, $WULF and the others.
-
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。
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.
-
2026年十大主题投资：聚焦AI供应链瓶颈、软体机器人及支付颠覆。
2026年通讯。 主题投资：演进、颠覆与瓶颈 1. 软体机器人 - 向 $TSLA、$ONDS、波士顿动力演进。 2. 硅光子(SiPh) - 磷化铟(InP)瓶颈 | $AXTI、$LITE、$GOOGL 3. 玻璃基板 - 瓶颈 | $NVDA、$INTC、$TSM 4. 资金流动 - 对 $V、Stripe、$BOA 的颠覆 5. AI云层级 - 瓶颈 | $NBIS、$IREN、$HUT 6. LLM网络安全 - 向 $CRWD、$CSCO、$MSFT 演进 7. 低轨(LEO)太空基础设施 | 向 $RKLB、SpaceX、$ASTS 演进 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、$PATH Cognition 9. 分布式计算延迟 - 瓶颈 | $TSLA、$AMZN、$GOOGL 10. 铜互连寿命延长 - 瓶颈 | $NVDA (LPU/Groq)、$AMD、$INTC _这是我对从公开信息综合及瓶颈二/三阶效应来看最感兴趣的主题投资的简要概述！_ 1. 软体机器人：向机器人的演进 传统机器人（Optimus、波士顿动力）依赖逆运动学控制刚性关节。软体机器人改变了数学模型。 我们已到达硬件（Optimus、波士顿动力、Figure）与LLM（Gemini、Grok、Opus）相遇的节点，正处于大规模商业化的开端。 通过使用受章鱼触手和人类皮肤启发的材料，机器人正从齿轮转向流体性，以处理极其精细的任务，如像人手一样处理农产品，或为 $ONDS/Andruil 无人机添加类章鱼延伸以拾取极重表面。 这种演进在于跳出思维定势思考机器人能做什么。我记得7年前曾与该领域的斯坦福博士合作，AI在多年研究后开始商业化，因此该领域也是如此。 将类生物流体性添加到刚性机器人中的可能性是无限的，这只是自然演进。 大多数可能是私人公司。 2. 硅光子 - AI基础设施的瓶颈“磷化铟(InP)卡脖子点” 从Blackwell Ultra集群到Google TPU已触及上限，需要光子互连 | 共封装光学(OCS)以实现扩展。 基板：$AXTI（通过Tongmei）和住友（日本）控制全球约60-70%的InP基板市场。 材料：Vital Materials（中国）和AXT等公司控制原材料铟本身的精炼（78%+的供应链）。 如果你是美国科技巨头，你2026年的整个“AI增长故事”取决于由地缘政治对手控制的材料。 唯一可扩展的解决方案是工程绕行，要么实现芯片上光传输，同时减少90%的铟使用，要么使用微小的磷化铟薄片代替大型昂贵晶圆。 瓶颈本身有机会，如AXT、住友。或帮助解决它的公司如 $POET。 3. 玻璃基板 - 解决从 $NVDA 到其他公司的共封装光学(CPO)瓶颈 向玻璃基板的转变本质上是半导体行业对当前材料物理极限的回答。 当前芯片位于有机材料（本质上是专用塑料）制成的基板上。随着芯片变大，如Nvidia巨大的GPU封装，塑料基板会翘曲。 因此，玻璃基板正成为共封装光学(CPO)的行业标准，因为它们解决了光子学中最大的对齐问题。 美国政府已视其为必要，我们看到巨额补贴流向这些公司。 $INTC、三星电子、Absolics（SKC子公司）、DNP等是主要受益者，尤其是随着MRVL和 $AVGO（推动光学开关的玻璃）推进CPO革命。 4. 资金流动 - 对卡网络、银行、交易所和支付的颠覆 几十年来，资金转移一直是“收费公路”业务。每次刷卡，2%到3%的钱流入卡网络（Visa/Mastercard）和发卡行的口袋。 或者从交易所买卖加密货币是0.2-1%。这是历史上最有利可图、“不可杀死”的商业模式。 直到现在。2025年的“天才法案”刚刚将金钱传输许可证或银行特许状交给像 $XRP 这样的公司，赋予了他们王国钥匙。 对我来说并非理论。我恰好正在自己的初创公司与创建V / $PYPL 实时支付网络的人一起从事这项工作。 但基本上，拥有现有MTL或追求银行特许状并利用天才法案及其他技术的公司，现在可以通过在美联储和区块链之上进行结算来绕过传统百分比费用，有效地将基于百分比的费用转化为几美分。 99%的公司会这样做吗？可能不会，因为支付行业的所有利润率都将归零。但我乐意看到。 但基本上，Stripe以11亿美元收购Bridge本应是对现有公司的红色警报，表明1天ACH、 interchange模式、25美元国际转账的日子即将结束。 这扩展到许多其他相邻领域，从低费用颠覆者如 $HOOD、Mercury，一直到稳定币新银行，或制作自己稳定币的公司如 $SOFI。 5. AI云层级 - 超大规模计算瓶颈的解决方案 当超大规模云厂商被困在3-5年的电网互连队列中时，像WULF和IREN这样的矿工今天就拥有即插即用的GW级算力。 这是千载难逢的机会，超大规模云厂商将其现金牛云收入流向小公司。 这里有不同的层级，从Fluidstack、Poolside、Fireworks在GPU编排层，到IREN等公司构建的裸金属层。 然后有成为超大规模云厂商本身，如NBIS拥有物理位置、GPU、软件编排，然后为推理提供简单接口。 这是少数小公司在未来一两年成为AWS或Azure，或被收购（例如GOOGL以47亿美元收购Intersect）的机会。 像NBIS、IREN、CRWV这样的新云，以及像CIFR、WULF、HUT这样的colo玩家（以及私人部门->能源）将受益。 6. LLM网络安全 - 向现代安全和漏洞防御的演进 最近的报告（例如来自Anthropic红队）显示，高级模型如Opus（及未来版本）可以自主扫描开源智能合约，并在几分钟内识别价值数百万美元的“零日”漏洞。 含义：如果AI能在不可变的区块链合约中找到逻辑缺陷，它也能在银行的SWIFT API或电网控制软件中找到缺陷。 同样适用于KYC/AML。像Gemini Nano Banana这样的模型能够创建逼真的图像/视频，人们能够绕过许多程序。 这个领域有很多不性感但具Alpha潜力的事情，如LLM自动化SOC2/PCI DSS合规，代理坐在服务器上，持续监控日志，并自动生成审计所需的证据。 7. 低轨(LEO)太空基础设施 | 向拓展最后疆域的演进 太空是下一个大事情。这并不新鲜。（希望你懂这个笑话）。但从像 $RKLB、SpaceX这样的公司，到解决轨道拥堵或发射节奏瓶颈的公司，再到像ASTS或Starlink这样商业化基础设施的公司，在未来一年呈现许多机会。 因此，像Impulse、Blue Origin、$ASOZF到RKLB、$ASTS这样的公司将受益于整个链条。 8. 消费者代理工作流(50步) - 对消费者劳动力的颠覆，来自Manus、PATH Cognition 这一点很简单，无需解释。但在对就业+成本节约的潜在影响上显而易见。 你如何自动化商务拓展？如何自动化营销？如何自动化软件工程师？ 这超越了ChatGPT的几步回答，直接进入现实世界，AI代理可以在X上漫游，找到合适的人，发送DM，继续对话，并在一个工作流中导致销售电话。 这是“聊天机器人”时代的结束和“行动”时代的开始，取代公司以前需要的所有人。 我尚未看到任何公司大规模做到这一点。拥有这些的公共公司如META并没有呈现最佳敞口。也许是 $PATH 在公共空间。 9. 分布式计算延迟 - 解决AI计算容量紧张的瓶颈 像GOOGL Cloud、MSFT Azure这样的超大规模云厂商已达最大容量。 Elon Musk已经提出分布式计算作为解决此问题的未来（例如，拥有 $TSLA 网络为LLM推理提供计算）。 “Tesla计算云”论点很迷人，但我识别出的最大物理障碍是：推理延迟。 要生成“Token B”，模型必须先生成“Token A”。它不能同时做两者。如果你将一个巨大模型（如Grok-3）拆分到5辆不同的汽车中以适应内存，你必须为每个生成的Token在这些汽车之间发送数据。 因此，如果汽车之间的网络延迟甚至是20ms（5G的乐观估计），而你生成50个Token，你刚刚在计算时间之上添加了1秒的纯“等待时间”（延迟）。在使用NVLink的数据中心中，该等待时间以纳秒计。 同样适用于零售用户拥有的任何备用计算机、GPU等。有数十亿消费级GPU（Teslas、iPhones、游戏PC）90%的时间闲置。 解决推理的“分布式延迟”问题呈现了计算史上最大的套利机会之一。 尚未看到任何公司大规模完成此任务。也许NVIDIA Dynamo、$AKAM、TSLA正在接近。 10. 铜互连寿命延长 - 解决Nvidia和其他公司的瓶颈 既然我们不能拥有无限的InP，我们必须用现有的东西（例如铜）进行工程绕行，所以铜电缆可以做物理上说它不应该做的事，如在不损失信号的情况下跨机架传输224G信号。 行业在InP上遇到了硬性停止，美国在物理上无法开采和精炼足够的InP将数据中心中的每个链接变成光纤。 如果有任何帮助，那就是好事。例如，NVDA对Groq团队和IP的200亿美元“收购雇佣”。LPU更多是关于推理延迟/架构，但它作为副产品解决了铜寿命延长。Groq的整个架构在延迟上击败了Nvidia，因为它拒绝了光学。Groq使用“确定性”网格，依赖芯片之间的直接电气（铜）连接，避免光学开关的“抖动”和转换时间。 像 $ALAB、$CRDO、Groq，或任何能找到用铜绕过光学瓶颈方法的公司将是赢家。 _这里有从私人部门投资到公共部门的众多交易！只是今天即兴写下了我的想法，但乐意稍后详细阐述。 无论如何，我相信这些主题投资中的许多： 从投资InQ瓶颈绕行（$POET）或瓶颈本身（$AXTI）到公共部门的颠覆者（$CRCL）。 到投资铜扩展瓶颈修复（Groq）、银行特许状颠覆者（Mercury）到私人部门的演进公司（Lightmatter、Festo）。 在2026年呈现不对称上行空间。 新年快乐！
英文原文
2026 Newsletter. Thematic Investments: Evolution, Disruption, and Bottlenecks 1. Soft Robotics - Evolution to $TSLA, $ONDS, Boston Dynamics. 2. SiPh - InP Bottleneck | $AXTI, $LITE, $GOOGL 3. Glass Substrates - Bottleneck | $NVDA, $INTC, $TSM 4. Money Movement - Disruption to $V, Stripe, $BOA 5. AI Cloud Layers - Bottleneck | $NBIS, $IREN, $HUT. 6. LLM Cybersecuirty - Evolution to $CRWD, $CSCO, $MSFT 7. LEO Space Infrastructure | Evolution to $RKLB, SpaceX, $ASTS 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, $PATH Cognition 9. Distributed Computing Latency - Bottleneck | $TSLA, $AMZN, $GOOGL, 10. Copper Interconnect Life Extension - Bottleneck | $NVDA (LPU/Groq), $AMD, $INTC _ This is an light overview of thematic investments I find the most interesting from a public-information synthesis perspective + second/third-order effects from bottlenecks! _ 1. Soft Robotics: The Evolution to Robotics Traditional robotics (Optimus, Boston Dynamics) relies on Inverse Kinematics to rigid joints. Soft robotics changes the math. We've met the point where hardware (Optimus, Boston Dynamics, Figure) met LLMs (Gemini, Grok, Opus), and we're at the beginning of possible widespread commercialization. By using materials inspired by octopus tentacles and human skin, robots are moving away from gears and toward fluidity to handle extremely delicate tasks like handling produce like the human hand, to picking up extremely heavy surfaces adding Octopus-like extensions to $ONDS/Andruil Drones. The evolution is thinking outside the box in terms of what robotics can do. I remember working with some Stanford PHds in this field like 7 years ago, and it just so happens AI is starting to be commercialized after many years of research. So expected, this field to be as well. Possibilities are limitless adding organism-like fluidity to rigid robotics, this is just the natural evolution. Most of these are prob private companies. _ 2. Silicon Photonics - Bottleneck of the AI Infrastructure "InP Chokepoint" Blackwell Ultra Clusters to Google TPUs have hit the upper wall and requires photonics for interconnects | OCS to scale up. The Substrates: $AXTI (via Tongmei) and Sumitomo (Japan) control roughly 60-70% of the world's InP substrate market. The Materials: Companies like Vital Materials (China) and AXT control the refining of the raw Indium itself (78%+ of supply chain). If you are a US tech giant, your entire "AI Growth Story" for 2026 depends on materials controlled by geopolitical rivals. The only scalable solution is engineering around it, either by delivering light-on-chip, while using 90% less InP or companies that use tiny slivers of Indium Phosphide instead of large, expensive wafers. There's opportunities with the bottleneck itself like AXT, Sumitomo. Or companies that help address it like $POET. _ 3. Glass Substrates - Fixing the Bottleneck for CPOs from $NVDA to others. The shift toward glass substrates is essentially the semiconductor industry’s answer to a physical wall they are hitting with current materials. Current chips sit on a substrate made of organic materials (essentially specialized plastic). As chips get larger, like Nvidia's massive GPU packages, plastic substrates warps. So, glass substrates is becoming the industry standard for Co-Packaged Optics (CPO) because they solve the single biggest problem in photonics with alignment. US Government already sees this as a necessity and we've seen huge subsidies funneling down to some of these companies. Companies like $INTC, Samsung Electronics, Absolics (SKC Subsidiary), DNP, and others are the main beneficiaries, especially as MRVL and $AVGO (driving glass for optical switches) move forward with CPO revolution. _ 4. Money Movement - The Disruption to Card Networks, Banking, Exchange, and Payments For decades, moving money has been a "toll road" business. Every time you swiped a card, 2% to 3% of that money vanished into the pockets of the Card Networks (Visa/Mastercard) and Issuing Banks. Or buying/selling crypto from an exchange would be .2-1%. It was the most profitable, "un-killable" business model in history. Until now. The "Genius Act" of 2025 just handed companies like $XRP with Money Transmitter Licenses or Banking Charters the keys to the kingdom. Not really theoretical for me. I happen to be working on this myself at my own startup with some folks who created V / $PYPL's real-time payment networks. But basically companies with existing MTLs or pursuing banking charters leveraging the Genius Act and some other tech can now bypass legacy % fees by doing settlement on top of the Federal Reserve and blockchains, effectively converting percentage-based fees into a few cents. Would 99% companies do it? Probably not since every single margin from across the payment industry would just go to 0. I'd be happy though. But basically Bridge's $1.1B acquisition by Stripe should have been a red-alarm to existing companies that days of 1-Day ACH, interchange models, $25 international transfers, are soon to be over. This extends to many other adjacents from low fee disruptions like $HOOD, Mercury all the way to Stablecoin Neobanks, or companies making their own stablecoins like $SOFI. _ 5. AI Cloud Layers - The Solution to HyperScaler compute Bottleneck While Hyperscalers are stuck in 3-5 year grid interconnection queues, miners like WULF and IREN are sitting on plug-ready GWs today This is the opportunity of a lifetime as hyperscaler funnel their cash cow Cloud revenues down to tiny companies. There's many different layers to this from Fluidstack, Poolside, Fireworks on the GPU orchestration layer, to the bare metal layer that companies like IREN are building. Then there's becoming the hyperscaler themselves like NBIS owning the physical locations, the GPU, software orchestration, and then providing simple interfaces for inference. This is the opportunity for a few small companies to become Amazon Web Service or Microsoft Azure over the next year or two, or get acquired (eg. GOOGL buying Intersect for $4.7B) Neoclouds like NBIS, IREN, CRWV, down to colo plays like CIFR, WULF, HUT (and private sectors -> Energy) stand to benefit. _ 6. LLM Cybersecurity - The Evolution to Modern Security and Vulnerability Defense Recent reports (e.g., from Anthropic's Red Team) showed that advanced models like Opus (and future iterations) could autonomously scan open-source smart contracts and identify "Zero-Day" exploits worth millions of dollars in minutes. The Implication: If an AI can find a logic flaw in a immutable Blockchain contract, it can find a flaw in a bank's SWIFT API or a power grid's control software. Same with KYC/AML. Models like Gemini Nano Banana are able to create realistic images/videos of people and people are able to get past a lot of programs. There's tons of things as an unsexy alpha in this field like LLMs automating away SOC2/PCI dss compliance to agents sitting on a server, continuously monitor logs, and auto-generate the evidence needed for auditors. 7. LEO Space Infrastructure | The Evolution to Expanding into the final frontier. Space is the next big thing. This is not anything new. (hope you got the joke). But anywhere from companies like $RKLB, SpaceX. Companies that fix orbital congestion or launch cadence bottlenecks. To companies that commercialize the infrastructure like ASTS or Starlink present many opportunities over the next year. So companies like Impulse, Blue Origin, $ASOZF to RKLB, $ASTS stand to benefit across the entire chain. 8. Consumer Agentic Workflows (50 Step) - Disruption to the Consumer Workforce, from Manus, PATH Cognition This one is simple and needs no explanation. But largely obvious in potential impact on employment + cost saving. How do you automate away business development? How do you automate away marketing? How do you automate away software engineers? This is going past few step ChatGPT answers and directly in to the real world where an AI agent can roam X, find the right people, DM someone, continue conversations, and lead to a sales call in just one workflow. This is the end of the "Chatbot" era and the beginning of the "Action" era replacing everyone previously required in a company. I haven't quite seen this done at scale yet with any company. Public companies like META that own these, don't really present the best exposure. Maybe $PATH for public space. 9. Distributed Computing Latency - Fixing the Bottleneck for AI Compute Capacity Strains Hyperscalers like GOOGL Cloud, MSFT Azure at max capacity. Elon Musk already floated distributed computing as the future of solving this issue (eg. having networks of $TSLA's providing compute for LLMs for inference). The "Tesla Compute Cloud" thesis is fascinating, but the single biggest physical barrier I've identified is: Inference Latency. Too generate "Token B," the model must first finish generating "Token A." It cannot do both at the same time. If you split a massive model (like Grok-3) across 5 different cars to fit it in memory, you have to send data between those cars for every single token generated. So, if your network latency between cars is even 20ms (optimistic for 5G), and you are generating 50 tokens, you just added 1 full second of pure "waiting time" (latency) on top of the compute time. In a data center using NVLink, that wait time is measured in nanoseconds. Same applies to any spare computer, GPU, and others owned by retail users. And there's billions of consumer GPUs (Teslas, iPhones, Gaming PCs) that sit idle 90% of the time. Solving the "distributed latency" problem for inference presents one of the single greatest arbitrage opportunity in the history of computing. Haven't really seen any companies that accomplished this at scale yet. Maybe NVIDIA Dynamo, $AKAM, TSLA, getting a little closer. 10. Copper Interconnect Life Extension - Addressing the Bottlenecks of Nvidia and Others Since we can't have infinite InP, we have to engineer around it with what we have (eg. Copper), so copper cables can do things that physics said it shouldnt like carrying 224G signals across a rack without signal loss. The industry is hitting a hard stop on InP where, US cannot physically cannot mine and refine enough InP to turn every link in a data center into fiber optics. If anything helps, then it's good. EG. NVDA's $20B "Acqui-hire" of Groq's team and IP. LPU is more about inference latency/architecture but it addresses copper life extension as a byproduct. Groq’s entire architecture beat Nvidia on latency because it rejected optics. Groq uses a "deterministic" mesh that relies on direct electrical (copper) connections between chips, avoiding the "jitter" and conversion time of optical switches. Companies like $ALAB, $CRDO, Groq, or anyone who can find ways to engineer around the optical bottleneck with copper will be a winner. _ There are tons of trades from both private sector investments to public! Just wrote up my thoughts on the fly today, but happy to elaborate later. Regardless I believe a lot of these thematic investments from: Investing in InQ Bottleneck Workarounds ( $POET ) or the bottleneck itself ( $AXTI ) to Disruptors ( $CRCL ) in the public sector. To Investing in copper extension bottleneck fixes (Groq), bank charter disruptors (Mercury) to evolutionary companies (Lightmatter, Festo) in the private sector. Present asymmetrical upside in 2026. Happy New Year!