$ONDS
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根据催化剂远近，权衡长期与短期资本利得税策略。
如果催化剂（如光子学 Photonics）尚需时日，我倾向于追求长期资本利得税优惠。例如，我目前持有一笔 $AXTI 头寸，未实现收益约为 450%。但如果出现重大事件（如格陵兰和平协议）可能损害你的国防多头头寸（如持有 $ONDS），那么将约 80% 的收益作为短期资本利得税结算，可能比经历“过山车”回到盈亏平衡点再免税更好。
英文原文
I try and aim for long term capital gains tax if the catalyst is far enough (eg. Photonics). For example I’m sitting on unrealized ~450% return one of my $AXTI positions. But if there’s a major event like Greenland peace deal that would hurt your defense longs like $ONDS if you had it. Then just taking short term capital gains on like a 80% return is probably better than round tripping to breakeven then paying no tax on that
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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.
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LPTH是国防锗瓶颈，短期受板块拖累，长期受益于供应链转移。
$LPTH 主要是国防领域的锗瓶颈。它似乎更多是从中国供应链向美国黑钻（Black Diamond）过渡的长期受益者。 它在算法上与国防板块挂钩（近期因缺乏催化剂，从 $ONDS 到 $AVAV 均下跌）。如果美国入侵伊朗，该交易可能会再次火热。 不太可能看到像 $GOOGL 和 $AMZN 资本支出带来的半导体供应链瓶颈那样巨大的短期飙升。或者像 $AXTI 因光子学应用可能看到的瓶颈+涨价。 但从 Andruil、$NOC、$ONDS 等来看，长期应有增量收入。
英文原文
$LPTH is germanium bottleneck mainly for defense. It seems more of a long term beneficiary from transition from China supply chains to US black diamond. And it’s algorithmically tied to defense sector (which is down recently, from $ONDS to $AVAV due to a lack of catalysts). If US invades Iran the trade is probably going to be hot again. Not likely going to see that massive short term spike that semi supply chain bottlenecks do from the $GOOGL and $AMZN capex spend. Or bottleneck + price hikes that $AXTI might see from photonics usage. But long term from Andruil, $NOC, $ONDS and others should be incremental revenue
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调侃算法误将披萨排队关联战争从而推高股价
周末洗澡时的想法：披萨漏洞 - 一个捣蛋鬼可以花2万美元购买10美元的芝士披萨，导致取餐排起长队 - 边缘算法因伊朗局势而紧张 - 算法将类似 $PLTR 的防御股和 $ONDS 推高数十亿，因为它们将披萨需求与战争相关联。 然后获利？
英文原文
Weekend shower thought: The Pizza Exploit - A troll can spend $20K on $10 Cheese Pizzas, creating long lines as people wait for pick up - Algos on edge with Iran - Algos send defense like $PLTR to $ONDS up billions, because they correlate Pizza demand with War. Then profit? https://t.co/qDKKI3An3Z
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复盘上月提及的AIRO、LPTH和AVAV表现，重申其投资逻辑。
大家都在走上路。所以 $VPG 是那个强力核心。说正经的，$AIRO、$LPTH 和 $AVAV 都是上个月提到的。$AIRO 自提及以来上涨了 24.9%。我进行了加仓摊平成本，所以在回调后略微盈利/持平。这是我对 $ONDS 的补涨操作，投资逻辑没有改变。$LPTH 下跌了几个百分点，作为锗(Germanium)瓶颈环节的修复方案。基本面没有发生严重的恶化。这是美国锗供应链从向中国转向黑钻(Black Diamond)的长期战略。短期2-3周的价格波动不重要。$AVAV 上涨了，但我是在320多美元时讨论的它。$RKLB 是一家市值450亿美元以上的发射公司，而 $AVAV 凭借数十亿美元的国防合同，年增长率达到三位数。所以在130-140亿美元市值时，我认为这是一个很好的长线标的。
英文原文
They’re all running it down Toplane. Hence why $VPG is the hard carry. Jokes aside $AIRO, $LPTH and $AVAV were all mentioned last month. $AIRO was up 24.9% since I mentioned it. Cost averaged up, so slightly green/breakeven after the drop. This was my catchup play to $ONDS and nothing about the thesis changed. $LPTH is down a few percent as a Germanium choke point fix. Nothing too dire materially changed. This was a long term US germanium supply chain pivot away from China into black diamond. Short term prices in 2-3 weeks don’t matter much. $AVAV is up, but I did talk about it in the $320s. $RKLB is a $45B+ launch company and AVAV is scaling triple digits Y/Y off billions in defense contracts. So at $13-14B I think this is a good long
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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。
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. $SNDK's blowout), it's good to remain extremely bullish on the market. And it's just a matter of time before markets see a green V recovery before midterms. Fundamentals haven't changed but optics have and short-term liquidity have.
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发布1月25日美股评级，强烈看好AI、内存及美国供应链瓶颈股，回避高估值与稀释风险标的。
1月25日评级。欧盟关税及$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 $155m quarterly revenue, so I'm questioning valuations a bit -> pivoting a lot of positions into more value (eg. software drop or memory supercycle). Thematically I'm extremely bullish on - AI, Memory, Semis - Bottlenecks - Critical Materials, etc. Very bullish on - Made in America supply chains Bullish on - Defense Sector And would look for swing trades/recovery/re-rating for stuff like software to social media companies around now given the recent selloff.
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建仓$VPG，看好其作为$TSLA Optimus核心供应商的高BOM占比及不对称收益。
我已建立 $VPG（市值5.73亿美元）的头寸。 这是我未来在机器人领域的主要敞口，与 $TSLA Optimus 紧密挂钩。 市场完全忽视了这一机器人板块的投资机会： 对于每一台部署的特斯拉 Optimus，$VPG 很可能占据极高的物料清单(BOM)份额。 VPG 可能是特斯拉 Optimus 量产爬坡的主要供应商，这已是公开的秘密。 这一发现最早由 Citron Research 提出（我不居功）。 2025年4月，Citron Research 发布报告，称 VPG 为“隐藏的特斯拉 Optimus 概念股”。 他们指出，VPG 在2023年11月宣布与一家人形机器人开发商达成“重大设计胜利”，就在特斯拉于2023年12月发布 Optimus Gen 2 之前。 Citron：“证据确凿：VPG 不仅向特斯拉 Optimus 供货，还预计从此次扩产中获得巨额收入，但由于保密协议，这部分收入目前对市场不可见。” 我在2025/2026年后期与多家卖方/买方分析师交叉验证了关于 VPG 的信息： 许多来自 Signia Capital 的人士提到 $VPG：“最显著的应用将是特斯拉的 Optimus 机器人，该机器人于2022年原型化，目标在2026年投产”。 然而，由于2023-2025年原型机阶段 Optimus 及其他机器人的量产爬坡并不存在，这一点被完全遗忘了。 然而，鉴于彭博社报道 OpenAI 上周推动机器人领域发展： 我预计机器人行业今年将触及拐点。 该公司基本面已经非常扎实： - 营收7970万美元（同比增长5.3%，但预计因机器人行业而指数级增长） - 毛利率40.5% - 净现金约6500万美元（现金8600万，债务2000万） $VPG 在块状金属箔(Bulk Metal Foil)材料科学/专利方面拥有护城河，引入了 Z-Foil 技术，并实现了垂直整合。虽然我不能说完全理解所有细节，但这正是 $TSLA 与 Vishay 合作进行 Optimus 迭代原型开发和规模化的原因。 关于 BOM： 有一些 BOM 估算如下： 腿部/运动系统：约21,300美元（占成本38%）：集中在高扭矩执行器。 核心稳定性：约15,600美元（28%）：结构性躯干和肩部机构。 灵巧手：约9,500美元（17%）：执行器和 VPG 式传感器。 计算/AI：约2,100美元（4%）：双 FSD 芯片和8摄像头阵列。 但总体而言，我们可以估算每台机器人的价值中约有3-8%归 $VPG 所有，因为 Shoshani 明确表示 VPG 预计每台机器人在ERs中能获得500至1,200美元的收入。 Elon 喜欢吹嘘大数字，但如果按字面意思理解“德州超级工厂年产1000万台的目标” 1000万台机器人/年 × 750美元/台 = VPG 年营收75亿美元。 考虑到 $VPG 是一家目前处于机器人供应链深处的5.74亿美元小市值公司，鉴于其不对称的上行空间，我建立了多头头寸： - 与 $TSLA Optimus 供应链的高度相关性概率高 - 每台部署机器人的 BOM 占比高 - 资产负债表非常干净，这很罕见。 请自行研究，这只是我建立多头的个人思考过程。
英文原文
I've initiated positions in $VPG ($573m). This is my actual/main robotics sector exposure going forward, tethered to $TSLA Optimus. Markets have completely overlooked this robotics sector play: For every Tesla Optimus deployed, $VPG likely takes an exceptionally high BOM for each. It's a pretty open secret by now that VPG is likely a main supplier for Tesla Optimus Ramp. This was first discovered by Citron Research (not taking credit for this). In April 2025, Citron Research published a report calling VPG the "Hidden Tesla Optimus Play." They pointed out that VPG announced a "major design win" with a humanoid developer in November 2023, right before Tesla revealed the Optimus Gen 2 in December 2023. Citron: "The evidence is conclusive: VPG is not only supplying Tesla Optimus but expects substantial revenues from this ramp-up, revenue currently invisible to the market due to confidentiality" I've cross-checked with recent Sellside/Buyside analysts much later in 2025/2026 regarding VPG: Many from Signia Capital mention for $VPG: "The most notable application would be Tesla’s Optimus robot, which was prototyped in 2022 and is targeting production in 2026". However, this was completely forgotten given robotics ramp from Optimus and others were nonexistent through 2023-2025 for the prototyping phase. However, given OpenAI's push to robotics last week per Bloomberg: I expect robotics to hit the inflection point this year. This company is extremely solid fundamentally already: - $79.7 Million Revenue (up 5.3% Y/Y but this should ramp up exponentially due to robotics sector) - 40.5% Gross Margins - ~$65 Million Net Cash ($86m Cash, $20m Debt) $VPG has a material science/patent moat for Bulk Metal Foil, introduced Z-Foil technology, and is vertically integrated. Can't say I understand it all, but it's the reason why $TSLA has been prototyping and scaling their Optimus iterations with Vishay. As for BOM: There are BOM estimates like: Legs/Locomotion: ~$21,300 (38% of cost): concentrated in high-torque actuators. Core Stability: ~$15,600 (28%): structural torso and shoulder mechanisms. Dexterous Hands: ~$9,500 (17%): Actuators and VPG-style sensors. Compute/AI: ~$2,100 (4%): Dual FSD chips and 8-camera array. But generally, we can estimate 3-8% of each robots value is est. $VPG since Shoshani explicitly stated that VPG expects to capture between $500 and $1,200 in revenue per robot in ERs. Elon likes to claim big numbers, but if you take it at face value "10-million-unit annual target at Giga Texas" 10M robots/year × $750/robot = $7.5 Billion in annual revenue for VPG. Considering $VPG is a small $574M company deep in the robotics supply chain right now, I entered long positions given the asymmetrical upside - of high probability correlation to $TSLA Optimus supply chains - high BOM of each robot deployed. - very clean balance sheet, which is rare. Please do your own research, this is my own personal thought process of why I entered this long.
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美股AI/半导体股隔夜恐慌后大幅反弹，验证地缘博弈下的供应链套利机会。
$ONDS 至 $LPTH 现已反弹 +7.16% 至 +9.0%。 甚至 $INTC 也上涨了 4.4%。 许多股票在隔夜交易中下跌了 -5% 至 -8%。 还有其他人利用 TACO 交易恐慌获利吗？ https://t.co/uwp9sW7sQn
英文原文
$ONDS to $LPTH are now back up +7.16% to +9.0%. Even $INTC is up 4.4%. Many were down -5% to -8% overnight trading. Did anyone else take advantage of the TACO trade panic? https://t.co/uwp9sW7sQn
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建仓$DPRO，视其为无人机战争基础设施，类比早期$RKLB，具高增长潜力。
我建仓了少量 $DPRO（市值2.4亿美元）。 这是一家端到端的战争无人机承包商，Draganfly 看起来像是无人机领域的 $RKLB（Relativity Space）。 $ONDS 从 0.51 美元涨到 15 美元（13倍），我一直在寻找类似的标的。 以下是市场（和我自己）之前忽略的点： Draganfly 是一家垂直整合的国防主承包商，而不仅仅是无人机制造商。 $DPRO 控制着从工厂基础设施到最终无人机的整个生态系统。它是《国防授权法案》（NDAA）禁止大疆（DJI，曾占据估计 70-80% 市场份额）后的最大受益者。 我之前没理解的最大护城河：嵌入式生产（embedded production）。 我关注的是当前较小的营收数字，却忽略了他们正在美国多个基地建设分布式制造能力。 Draganfly 与美国陆军（2025年9月）的合同不仅仅是交付无人机；而是要在美国基地安装微型工厂（Micro-Factories）。 它将 Draganfly 融入美国战争部（Dept. of War）的体系中，创造出竞争对手无法取代的“粘性”。 我建仓的原因是：他们的无人机产能从 2025 年的 500 万美元跃升至 4 亿美元。 结合其与 Global Ordnance 的合作伙伴关系（作为分包商，Ordnance 获得了 7.5 亿美元 IDIQ 合同），以及 US-CAD 项目（双方均受益，如 2.2 亿美元对北约的 CAD 资金）。 $DPRO 有可能实现三位数甚至 1000%+ 的同比增长率。 而且……营收会在财报中以惊喜的方式体现在资产负债表上。 每个无人机玩家如 $AVAV、$AIRO、$ONDS 都有自己的专长，$DPRO 专注于非动能和基础设施方面： -> 瑞典等欧洲国家（2026年）使用 $DPRO 无人机进行救生行动。 -> DEF-C -> 乌克兰冲突中的侦察无人机 -> Global Ordnance（大型国防承包商） -> 美国战争部（美国陆军） 而这些非动能无人机可以转化为动能应用。 手握 5100 万美元现金（健康的资产负债表），仅 20% 的产能爬坡就对应约 2.2 倍远期市销率（p/s）。 这是一个非常投机的风险投资式押注，因为他们正在快速扩张基础设施（就像早期的 $RKLB），Northland 给出了 20 美元的目标价。 这是一种直觉，认为营收将赶上他们在美军中部署的基础设施（特别是 Replicator 项目，且直到财报发布前都是隐藏的）。 $DPRO 在 FinX 上已经很受欢迎（说服其他用户花了一些功夫），所以我个人也加入了这场狂欢，想看看它会走向何方。 TLDR：在 $DPRO 建立少量投机性头寸，因为它有望成为无人机战争的基础设施（就像 2 美元时的 $RKLB 之于太空），具有巨大的上行潜力。 由于处于极早期阶段，随着产能建设的收入确认，也存在大量风险。
英文原文
I’ve initiated small positions in $DPRO ($240m). This is an end-to-end war drone contractor and Draganfly looks like the $RKLB to Ondas. $ONDS went from ($.51 -> $15, 13x) and was looking for an equivalent. Here’s what markets (and myself missed). Draganfly is a vertically integrated defense prime, not just a drone maker. $DPRO controls the entire ecosystem, from the factory infrastructure to the end-drone. And it’s the largest beneficiary of NDAA that banned DJI, which controlled est. 70-80% of market share. The biggest moat I didn’t understand earlier: embedded production. I looked small current revenue numbers but missed the that they’re buildout distributed manufacturing throughout many US bases. Draganfly’s contract with the U.S. Army (Sept 2025) isn't just to ship drones; it is to install Micro-Factories at US bases. It integrates Draganfly into the fabric of US Dpt. of War, creating a layer of "stickiness" that is impossible for competitors to displace. Here's why I entered positions: they went from $5M drone capacity ramp in 2025 to $400m. Combining this with its partnership with Global Ordnance (where it’s a sub-contractor and Ordnance received $750 Million IDIQ), US-CAD programs (benefits from both) like $220m CAD funding to NATO. It’s possible for $DPRO from triple digits or possibly 1000%+ revenue growth rates Y/Y. And... revenue hits balance sheet by surprise in the earnings. Each drone player from $AVAV, $AIRO, $ONDS, have their own specialty, $DPRO focuses on the nonkinetic and infrastructure aspect: -> European countries like Sweden use $DPRO drones (2026) for life-saving operations. -> DEF-C -> reconnaissance drones for Ukraine conflict -> Global Ordnance (massive defense contractor) -> U.S. Department of War (US Army) and those nonkinetic drones can be transformed with kinetic applications. With $51M cash on hand (healthy balance sheet), just 20% of capacity ramp would be ~2.2 fwd p/s. This is a very speculative venture style bet as they've been rapidly expanding infrastructure (like $RKLB at the start), with Northland giving $20 PT's. And this is a hunch that the revenue will catch up to the infrastructure they've deployed across the US army (esp. with Replicator programs and is hidden until earnings). $DPRO has already been popular on FinX (and it took some convincing from other users) so I've personally joined the party as I'm curious to see where it heads. TLDR: took small speculative positions in $DPRO as it's setup to be the Infrastructure of Drone Warfare (like $RKLB back at $2 for space) with high potential upside. As it's extremely early, there's lot of risks as well with revenue recognition from capacity buildout.
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特朗普关税恐慌是估值礼物，国防与本土AI供应链将受益于政策博弈。
关于$OSS -6.1%至$ONDS -4.85%下跌引发的潜在市场崩盘恐慌很多。但随着市场转红，特朗普已开始降级局势。从特朗普关税的历史来看，我们知道一件事：特朗普非常在意市场： - $AVAV的复制者（Replicator）Switchblade无人机项目 至 - 复制者2（Replicator 2）反无人机系统，$AIRO、$ONDS等可能受益。 1.5万亿美元的拟议国防支出保持不变。 AI建设中的 - $LITE、$COHR在$GOOGL和超大规模ASIC建设中的角色 或 - $INTC、$SKY在美国本土硬件中的角色 均未改变。我们正见证历史上最大的无人机、关键材料储备、AI建设、太空扩张及“美国制造”供应链的扩张。 我认为这种波动往往是“估值礼物”，因为这些都是空头威胁。欧美领导人之间的泄露消息显示对话正在进行。特朗普只是在用“极限施压”话术看能谈判到什么。当然，特朗普将标普500视为其实时支持率，这就是为什么他在中期选举前迫使大幅降息。随着美股隔夜转红，我们已看到局势缓和。我们很可能会看到完整的“贸易协议达成”，以便他宣称成功->市场创历史新高。
英文原文
There's a lot of panic about a potential market crash from $OSS -6.1% to $ONDS -4.85% dropping ON. But now, Trump is already starting to de-escalate as markets go red. From the history of Trump's tariffs We know one thing. Trump cares too much about the market: $1.5T in proposed defense spending from - $AVAV Replicator Switchblade drone programs to - Replicator 2 counter-UAV with potential for $AIRO, $ONDS and others. is still the same. Nothing in the AI buildout from - $LITE, $COHR role in $GOOGL and hyperscaler ASIC buildout or - $INTC, $SKY role in US domestic hardware has changed. We're seeing the largest buildup from drone, critical material stockpiles, AI buildout, Space scale-up, and Made in America supply chains in history. My opinion is that this volatility is often a "valuation gift" since these are all empty threats. And the leaked messages between the EU/US leaders shows dialogue is taking place. Trump is just doing his "Maximum Pressure" rhetoric to see what can be negotiated. And, of course, Trump views the S&P 500 as his real-time approval rating, which is why he's forcing so many rate cuts before midterm elections. As US markets go red overnight, we're seeing the walk-back happen already. And we'll likely see that full "trade-deal made" so he can claim he succeeded -> markets hit ATHs.
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ONDS估值虽高，但作为独立标的仍具合理性。
@platochi @bennybigbull 与其他无人机公司如 $AIRO 相比，$ONDS 的估值（市销率）显得昂贵（28倍 vs 2.5倍）。我想表达的是，单看它本身，这是一个合理的选股标的。
英文原文
@platochi @bennybigbull $ONDS is richly priced compared to other drone companies like $AIRO (28 vs 2.5 p/s) Standalone it’s a justified pick, is what I’m trying to say.
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作者认为$ONDS估值过高，建议关注其他估值更低的无人机股。
个人而言，我觉得与其他无人机公司相比，$ONDS 的定价偏高。 我持有 $AVAV、$DPRO、$KTOS 和 $AIRO 以获取无人机领域的敞口。 （这只是我凭记忆随口一说，别太当真）Ondas 目前的前瞻性企业价值/收入倍数（Forward EV/revenue multiples）约为 28 倍以上。即使是 AVAV，作为“复制者”（Replicator）项目的一部分，其倍数也仅为 8-9 倍。 Airo 则是针对“复制者 2.0”的反无人机（Counter UAV）系统。 当我买入 $AIRO 时，其前瞻性市销率（Forward P/S）约为 2.5 倍（现在可能更高，也许是 3-4 倍）。 甚至 $DPRO 根据一些收入计算，可能也只有 2.8 倍左右。 所以在我看来，其他无人机公司有更高的上行空间。
英文原文
Personally speaking, I feel like $ONDS is richly priced compared to other drone companies. I have $AVAV, $DPRO, $KTOS, and $AIRO for drone exposure. (Just going off the top of my head, dont take this too literally) Fwd EV/revenue multiples was ~28s+ now for Ondas. Even AVAV was 8-9 and they were in the replicator program. Airo was for counter UAV for replicator 2. When I bought $AIRO was trading at ~2.5 fwd p/s (probably higher now, maybe 3-4's). Even $DPRO might even be potential 2.8 from some rev calculations. So IMO higher upside with other drone companies.
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格陵兰关税引发恐慌，建议逢低买入美国防、关键材料及本土半导体股。
美股期货因格陵兰关税新闻下跌。 许多欧洲股市热门股现下跌： $ONDS (-8.55%) 或 $RKLB (-7.65%)。 以下是如何从该局势中潜在获利的方法： 第一层：供应链 这是与北约盟友的争端。这威胁到供应链。 许多美国国防系统依赖欧洲组件（德国光学器件、英国/荷兰芯片）。格陵兰是稀土元素(REEs)的巨大潜在来源。 格陵兰受阻意味着美国必须依赖国内来源。 与欧洲的贸易战给国防承包商和其他部门带来混乱。 如果下跌，美国关键材料供应商如 $MP 或瓶颈对冲如 $LPTH 将是良好的逢低买入机会。 第二层：美国直接冲突/战争 战争板块如 ($AVAV 或 $KTOS) 实际上极具韧性，因为从根本上说，争端涉及美国国家安全。 欧洲（莱茵金属、萨博）国防股正在反弹，而美国（如 $ONDS）遭抛售。美国代码被恐惧的欧洲散户投资者错误定价。 国防股可能在“避险”恐慌初期下跌，但它们实际上最终成为与北约盟友紧张关系的主要受益者。（特朗普的事你无法预知）。 如果隔夜或盘前出现大幅下跌，如果发生无差别抛售，这可能是一个良好的买入机会。 第三层：美国半导体供应链/晶圆厂 与欧洲（特别是荷兰/ASML 和德国/蔡司）的贸易战严重损害半导体供应链。 在所有这些痛苦中，垂直整合的“美国制造”硬件公司将受益最大。 如果下跌，像 $COHR、$AMKR 或美国晶圆厂如 $INTC、$GFS 这样的公司可能是良好的逢低买入机会。 这更微妙，因为市场认为它们仍然有风险，因为许多“国内”玩家仍依赖欧洲进口（ASML 光刻、蔡司光学）来运营。 然而，这是关于供应链主权的美国国家安全，这是对美国政府不会让这些公司失败（例如英特尔的国家安全豁免）的美国政策的非对称性赌注。 可能避免： 科技/SaaS 的接飞刀，因为它们被视为“风险资产”，通常被抛售最多，除非情况极端。 _ 鉴于流动性低，欧洲市场可能正在恐慌性抛售至真空。 套利机器人可能会迫使美国隔夜价格下跌以匹配欧洲/期货的“隐含价格”。 然而，如果实际受益于该局势的板块出现跳空低开，这可能是极好的机会。 方向上，市场可能会看跌。 但预计许多这些 -7% 或 -9% 的数字将恢复到合理水平如 -1.5%，有些甚至翻正。
英文原文
US Futures are down due to Greenland Tariff news. Many popular names on EU stock exchanges are now down: $ONDS (-8.55%) or $RKLB (-7.65%). Here's how to potentially profit off the situation: Tier 1: Supply Chains This is a dispute with NATO Allies. This threatens supply chains. Many US defense systems rely on European components (optics from Germany, chips from UK/Netherlands). Greenland is a massive potential source of Rare Earth Elements (REEs). The blockage of Greenland means the US must rely on domestic sources. A trade war with Europe creates chaos for defense contractors and other sectors. US Critical Material providers like $MP or bottleneck hedges like $LPTH would be a good dip buying opportunity if they drop. Tier 2: US Direct Conflict/War War sectors like ( $AVAV or $KTOS ) are actually extremely resilient since fundamentally, the dispute goes back to US National Security. EU (Rheinmetall, SAAB) defense stocks are rallying, while US ( eg. $ONDS ) got sold off. US tickers are being mispriced by fearful European retail investors. Defense stocks might drop initially during "risk-off" panic but they actually end up being the primary beneficiaries of the tension with NATO allies. (you never know with Trump). Any large drops (if they happen) overnight or pre-market, this might be a good buying opportunity if there's an indiscriminate selloff. Tier 3: US Semi Supply Chains/Foundry A trade war with Europe (specifically the Netherlands/ASML and Germany/Zeiss) hurts the semiconductor supply chain immensely. Through all this pain, the vertically integrated "Made in America" hardware companies would benefit the most. Companies like $COHR, $AMKR, or US foundries like $INTC, $GFS might be a good dip buy if they drop. This is more nuanced since markets think they're still risky because a lot of the "domestic" players still rely on European imports (ASML lithography, Zeiss optics) to operate. However, this is US national security for supply chain sovereignty and this is an asymmetrical bet on US policy that they won't let these companies fail (eg. National Security Exemptions for Intel). Probably avoid: Falling knives on Tech/SaaS since they're considered "risk assets" and usually get sold off the most, unless it goes extreme. _ European markets are likely panic-selling into a void, given low liquidity. The arbitrage bots might force US overnight prices down to match the "implied prices" of European/Futures. However, this might be the excellent opportunity if there's a gap-down on names on sectors that actually benefit from the situation. Directionality, markets are likely going to see red. But expect many of these -7% or -9% numbers to recover to reasonable levels like -1.5%, with some flipping positive.
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LPTH因独家锗替代技术成美军关键单一来源供应商，具极高战略价值。
$LPTH 不仅仅重要。 Lightpath 是美国国防部（战部）的关键故障点。 “锗”是 AI 领域的磷化铟(InP)，也是洛克希德“毒刺”导弹和 Anduril Ghost / $ONDS 无人机的关键材料。 锗的价格已翻三倍（2025/26年约 $4,150/公斤+）。 美国面临需求冲击，因为美国拥有量为零： 美国有零产能（是的，韩国 Zinc 在田纳西州有项目，但直到 2030 年才投产）。 美国开采锗矿石（阿拉斯加的 Red Dog 矿），但我们没有大规模将其精炼成金属的工业能力。 60-70% 的精炼锗来自中国，其余来自加拿大（Teck）、比利时（Umicore）和俄罗斯（也被禁运）。 而且中国禁止向美国军事项目出口。 从现在（2026年1月）到 2029/2030 年，实际上没有新的国内产能上线。 需求冲击： 就在供应切断的那一刻，三个领域的需求爆炸式增长： - AI 数据中心：锗是高速光纤电缆的必需品。 - 太空：它是卫星太阳能电池（如 Starlink 等）的主要材料。 - 国防（最大的）：每个 Anduril 无人机、夜视仪和导弹导引头传统上都使用锗透镜。 $LPTH 目前对五角大楼 + 美国国家安全具有生存级关键意义。你可能认为其他公司可以制造“无锗”玻璃，但这很难。 Lightpath 使用的特定材料 Black Diamond，是由美国海军研究实验室发明的。Lightpath 拥有商业化 Black Diamond 的独家许可。 如果洛克希德或雷神想要制造使用这种特定军用级锗替代品的导弹导引头，他们依法必须从 Lightpath 购买。 没有第二来源。 $LPTH 是许多先进武器的单一来源供应商。 示例 1）盟友正在囤积短程拦截器，例如“毒刺”导弹。盟友现在需要建造数千枚，但我们无法获得中国锗来制造导引头。 Lightpath 是洛克希德等公司的光学组件“单一来源”供应商。 示例 2）无人机公司制造“蓝色 UAS”（政府批准的无人机）。为了不被列入黑名单，他们必须移除中国部件。 像 $ONDS 或 $UMAC 这样的公司可能已将热成像相机供应单一来源给 Lightpath，以避免在无人机组件中使用中国供应链。 2026年（现在）：中国禁止出口。美国库存极低。 2030年（最早）：田纳西州的新“超级冶炼厂”（韩国 Zinc 交易）投产，实现国内锗精炼。 缺口：未来 4 年，美国没有国内金属供应。 这种情况看似荒谬，但由于美国关闭了大多数锌冶炼厂，我们意外地也关闭了锗供应。30年来，将矿石运往中国/加拿大比在这里处理 EPA 法规更便宜。 美国军方目前的处境是：拥有阿拉斯加的原始矿石，但必须请求加拿大或等待一家韩国公司（2030年）将其转化为导弹导引头。 人们认为 $LPTH 是某种廉价仙股。但它实际上现在是美国国家安全的中心。 Lightpath 是西方国家绕过锗瓶颈的主要方式，市值仅 $6.7 亿。
英文原文
$LPTH isn't just important. Lighpath is a critical point of failure for the US Dpt of War. "Germanium" is the AI's InP for Lockheed Stinger Missiles and Anduril Ghost / $ONDS Drones. Germanium's price tripled (~$4,150/kg+ in 2025/26). There is a demand shock since US has 0: The US has zero (Yes Korea Zinc in TN, but not until 2030). US mines germanium ore (Red Dog mine in Alaska), but we do not have the industrial capacity to refine it into metal at scale. 60-70% of refined Germanium comes from China and the rest elsewhere like Canada (Teck), Belgium (Umicore), and Russia (also banned). And China banned exports to US military programs. There is effectively no new domestic capacity coming online between now (Jan 2026) and 2029/2030. The Demand Shock: At the exact moment supply was cut, demand exploded from three sectors: - AI Data Centers: Germanium is essential for high-speed fiber optic cables. - Space: It is the primary material for satellite solar cells (Starlink, etc.). - Defense (The Big One): Every thermal Andruil drone, night vision goggle, and missile seeker head traditionally uses a Germanium lens. $LPTH Is existentially critical to the Pentagon + US National Security right now. You might think other companies can just make "germanium-free" glass, but it's hard. The specific material Lightpath uses called Black Diamond, was invented by the US Naval Research Lab. Lightpath holds the exclusive license to commercialize BLack Diamond. If Lockheed or Raytheon wants to build a missile seeker that uses this specific, military-grade germanium replacement, they legally have to buy it from Lightpath. There is no second source. $LPTH is the Sole Source supplier of many advanced weapons. Example 1) Allies are stockpiling Short Range Interceptor, eg. Stinger Missiles. Allies need to build thousands more now, but we can't get the Chinese germanium to build the seekers. Lightpath is the "sole source" supplier for the optical assembly for companies like Lockheed. Example 2) Drone companies build "Blue UAS" (government-approved drones). To stay off the blacklist, they must remove Chinese parts. Companies like $ONDS or $UMAC have likely sole-sourced their thermal camera supply to Lightpath to not use Chinese supply chains in their drone components. 2026 (Now): China bans exports. US stockpiles are critically low. 2030 (Earliest): The new "Super Smelter" in Tennessee (Korea Zinc deal) comes online to refine germanium domestically. The Gap: For the next 4 years, the US has no domestic metal. This situation seems absurd, but since the US closed most of its Zinc smelters, so we accidentally closed our Germanium supply with them. And for 30 years, it was cheaper to ship the ore to China/Canada than to deal with EPA regulations to refine it here. The US military is currently in a position where it has the raw ore in Alaska but has to ask Canada or wait for a Korean company (in 2030) to turn it into a missile seeker. People think $LPTH some cheap penny stock. But it's actually central to US national security now. Lightpath it's the main way around the Germanium chokepoint for Western countries at a small $670M MC.
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LPTH获军工巨头青睐且具垄断优势，有望成百亿公司
感谢。我发现 $LPTH 基本上就是美国的 $AXTI，所有顶级军工承包商，包括 Andruil、Lockheed、L3Harris、$ONDS 等都在转向他们。由于拥有美国海军研究实验室的授权，他们在此领域拥有垄断地位。完全可以预见这将成为一家市值超 100 亿美元的公司。
英文原文
Appreciate it. I found that $LPTH was the US $AXTI basically and all the top military contractors from Andruil, Lockheed, L3Harris, $ONDS, and everyone were switching to them. And they have the monopoly over it bc of US naval research lab licenses. Can easily see this being a $10B+ company down the road.
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建仓$LPTH，因其是中国锗玻璃在美唯一替代，获多家军工巨头采用。
我建仓了 $LPTH（市值6.21亿美元）。 Lightpath 非常出色。 每一种现代热武器（导弹、无人机）都需要锗玻璃，而中国拥有该市场70%的份额。 LPTH 是唯一拥有 Black Diamond 技术的美国替代方案： 用户包括： - $ONDS - L3Harris - Lockheed - Andruil（可能） - $UMAC - RTX/Raytheon 或 Northrop Grumman（用于最近1820万美元的合同）。 Ondas：Iron Drone Raider（反无人机拦截无人机）和 Optimus 使用 LPTH 的热成像相机核心。 L3Harris SPEIR 在阿利·伯克级驱逐舰上使用 Lightpath 的红外相机组件。 Lockheed Martin 毒刺导弹和 M-SHORAD 使用 Lightpath 的导弹寻标器光学元件。 Anduril 可能在 The Ghost（自主无人机）上使用 Lightpath 的非制冷长波红外（LWIR）相机。 Unusual Machines 在攻击无人机上使用 Lightpath 的模制热透镜。 RTX 或 Northrop（其中之一）在先进战术吊舱或下一代导弹寻标器中使用 Lightpath 的红外相机系统。 这实际上是现代武器和无人机所需的唯一西方替代方案。 Lightpath 现在拥有惊人的资产负债表： ~7500-8000万美元现金（负债-500万美元） -FY 2025 营收3720万美元。FY 2026 预估~6160万美元 - FY 2025 毛利率27.2%，FY 2026 年底预计35-40%。 - FY 2025 积压订单~4000万美元。FY 2026 积压订单9000万美元+。 他们已售罄。利润率在扩张。而且大多数顶级美国国防承包商现在都将 Lightpath 作为中国锗玻璃供应链的西方替代品。 绝对是一家不可思议的公司，我不常这么说。 因此，我个人做多 Lightpath，因为军工承包商未来将依赖他们生产先进武器。
英文原文
I've initiated positions in $LPTH ($621M). Lightpath is incredible. Every modern thermal weapon (Missiles, Drones) requires Germanium glass, which China owns (70%) LPTH is the only US alternative with: Black Diamond Users? - $ONDS - L3Harris - Lockheed - Andruil (likely) - $UMAC - RTX/Raytheon or Northrop Grumman for the most recent $18.2M contract. Ondas: Iron Drone Raider(counter-UAS interceptor drone) and Optimus uses LPTH for Thermal Camera Cores. L3Harris SPEIR uses Lightpath for Infrared Camera Assemblies on Arleigh Burke-class Destroyers. Lockheed Martin Stinger Missles and M-SHORAD uses Lightpath for Missile Seeker Optics. Anduril likely uses Lightpath for The Ghost (Autonomous Drone) for Uncooled LWIR (Long Wave Infrared) Cameras. Unusual Machines uses Lightpath for Attack Drones (Molded Thermal Lenses). RTX or Northrop (one of them) uses Lightpath for Advanced Tactical Pods or Next-Gen Missile Seekers suing Infrared Camera Systems. This literally is the only Western alternative required for modern weaponry and drones. Lightpath now has an amazing balance sheet: ~$75–80 million in cash (with -$5M debt) -FY 2025 $37.2 Million. FY 2026 est. ~$61.6 Million - FY 2025 Gross 27.2%, FY 2026 35-40% by year-end. - FY 2025 Backlog ~$40 Million. FY 2026 Backlog $90+ Million. They are sold out. Expanding margins. And majority of the top US defence contractors now use Lightpath as a Western alternative to China's supply chain of Germanium glass. Absolutely incredible company, I don't say this very often. So I personally went long on Lightpath as military contractors will rely on them in the future for advanced weapons.
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驳斥ONDS观点，揭露UAVS通过可转债套利及虚假宣传收割散户。
认为$ONDS的高行权价可转债性质截然不同，这种观点简直是妄想。 $UAVS将超过100%市值的控制权交给了套利投资者，他们可以在$1.23的价格（低于当前股价50%）增发价值1亿美元的股票，并直接赚取差价。 这只有在散户买入该套利头寸时才有效。正如我们所见，该公司为了诱导散户买入，无所不用其极，甚至发布诸如与$AMZN合作的虚假新闻稿。
英文原文
$ONDS convertible note at a higher strike is wildly different and this is a delusional take. $UAVS gave control to arbitrage investors of over 100% the marketcap where they can mint $100 million worth of shares at $1.23 (-50% under current prices) and just pocket the difference. This only works if retail buys into this arbitrage. And as we’ve seen the same company would do anything from putting out fake press releases like $AMZN partnerships to get retail to buy.
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计划研究VVX，已买入AIRO替代ONDS，承认研究存在遗漏。
@Rachel308649775 提到 $VVX 这个名字很有趣，我稍后会去研究一下。 是的，我最终买入了 $AIRO，因为它比 $ONDS 便宜得多，但我确信在我的研究中肯定还漏掉了其他标的。
英文原文
@Rachel308649775 Interesting name drop with $VVX I’ll take a look soon. Yeah I ended up buying $AIRO since it was much cheaper than $ONDS but I’m sure there was others I missed in my research
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称赞ONDS高价融资利好股东，虽未投资但乐见其增长。
@CeoOndas 哇，原来这就是你们融资的方式，以高于当前市价的价格进行。这对现有股东和公司都有利。 $ONDS 的工作做得很棒，我个人虽然不是投资者，但看到所有的增长感到非常愉快。
英文原文
@CeoOndas Wow that’s how you raise funds, above current price. Benefits both existing shareholders and the company. Great work with $ONDS, I’m personally not an investor but I’m having a great time seeing all the growth.
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建仓$OSS，认为其作为边缘AI国防承包商获实战验证，高毛利且被低估。
我建仓了 $OSS。 我通常不说这种话，但这只股票令人兴奋。 市场完全错过了这家市值1.55亿美元的无人机群、幽灵舰队、无人水面艇(USV)、边缘AI部署的美国国防部承包商。 他们尤其错过了 OSS 在委内瑞拉入侵行动中的参与，这给 $AVAV 等股票带来了溢价。 在我看来，这看起来像是一个“邪恶”的长线机会： 1. 4100万美元现金（预计）/ 1.55亿美元市值（下行风险低）。 2. 纯动能防御(Pure play Kinetic Defense)标的。 3. 供需比为 1:2.4（因需求旺盛而积压）。 4. 45%的毛利率。 主要兴趣点在于委内瑞拉作为其在美国军队中实际使用的证明： $OSS P-8 海神在委内瑞拉： - 飞行追踪数据证实，第40巡逻中队(VP-40)的 P-8A 海神飞机在突袭期间在委内瑞拉海岸附近，以监控委内瑞拉海军动向。 OSS 关联：2025年7月1日，OSS 宣布了一项500万美元的紧急订单，专门用于为 P-8A 海神交付“61台加固数据单元”。 SOCOM “抓捕小组”： - 抓捕领导层的突袭由美国特种作战司令部(USSOCOM)执行，具体使用了海上插入团队（可能是海豹突击队/SWCC）和第160特种作战航空团（直升机）。 OSS 关联：2025年5月29日，OSS 直接与 USSOCOM 签署了合作研发协议(CRADA)，为海洋环境制造边缘计算机。OSS 为潜入委内瑞拉海岸的隐形船只构建了战斗追踪服务器。 “幽灵舰队”封锁： - “南方长矛行动”目前正在使用无人水面艇（无人机船）封锁油轮。 OSS 关联：海军的“第59特遣队”（以及较新的第4舰队等效部队）在这些无人机上使用 $OSS Rigel 边缘超级计算机，因为它是少数能装入40英尺机器人船的小型AI服务器之一。 这字面意义上是委内瑞拉的实战验证。对于一家市值1.55亿美元的小公司而言。 在之前，每个人都把这家公司当作像 $SMCI 那样的大宗商品（包括我自己），但我完全错过了他们的国防垂直领域（在出售 Bressner 后现在是纯标的）拥有45.6%的毛利率。 直到我再次深入研究后，才意识到他们的另一个部门因为混合毛利率（仅转售国防装备）完全搞乱了毛利计算。 所以现在我们有一个： ~45%毛利率，估值1.55亿美元，拥有4100万美元现金，需求超出供应2.4倍的AI军事承包商。 去年晚些时候我做了一个分析，当时看起来 $OSS 是 Andruil 或 $PLTR 的供应商，并开始爬坡。 再次审视出售后的情况，45%的毛利率使他们进入极其卓越的领域（例如洛克希德·马丁，12-14%）或大宗商品卖家（例如 $SMCI，$DELL 8-14%）。 这是一个经过战争验证的专用防御AI纯标的，用于无人机群、幽灵舰队、USV等，具有极高的毛利率，市值1.55亿美元。 我发现这是一个令人兴奋的重新发现，所以我建仓了。
英文原文
I've initiated a position in $OSS. I usually never say this but, this one is exciting. Markets completely missed this 155M MC Drone Swarm, Ghost Fleet, USVs, Edge AI deploying US DoD contractor. And they especially missed OSS’s involvement in the Venezuela's invasion, that gave premiums to $AVAV and others. This looks like an unholy long to me: 1. $41M cash (pro forma ets.) / $155M MC (low downside risk). 2. Pure play Kinetic Defense 3. 1 : 2.4x supply/demand. (backlogged from high demand) 4. 45% gross margins. The main interest was Venezuela as proof they're actively being used in the US military: $OSS P-8 Poseidon in Venezuela: - Flight tracking data confirmed that P-8A Poseidon aircraft from Patrol Squadron 40 (VP-40) were off the coast of Venezuela during the raid to monitor Venezuelan naval movements. OSS Link: On July 1 2025, OSS announced a $5M urgent order specifically to deliver "61 Rugged Data Units" for the P-8A Poseidon. SOCOM "Capture Team": - The raid to capture leadership was executed by US Special Operations Command (USSOCOM), specifically using maritime insertion teams (likely SEALs/SWCC) and the 160th SOAR (helicopters). OSS Link: On May 29, 2025, OSS signed a (CRADA) directly with USSOCOM to build edge computers for Maritime Environments. OSS built the battle-tracking servers for the stealth boats used to slip into the Venezuelan coast. "Ghost Fleet" Blockade: - "Operation Southern Spear" is currently using unmanned surface vessels (drone boats) to block oil tankers. OSS Link: The Navy's "Task Force 59" (and the newer 4th Fleet equivalent) uses the $OSS Rigel Edge Supercomputer for these drones because it is one of the few AI servers small enough to fit on a 40-foot robot boat. This is literally combat validation in Venezuela. Of a small $155M stock. Before everyone treated this company as a commodity like $SMCI (myself included), but I completely missed that their defense vertical (which is pure-play now after the Bressner sale) has 45.6% gross margins. Only after I looked into it again after did I realize their other division was completely messing up margin calculations because of blended margins (from just re-selling defense gear). So now we have a: ~45% margins, AI military contractor valued at $155M business with $41m cash, with demand outstripping supply 2.4 to 1. I did an analysis later last year, which looked like $OSS was a supplier for Andruil or $PLTR, and was beginning their ramp up. Looking at it again post-sale, the 45% margin puts them into extremely stellar territory (compared to eg. Lockheed Martin, 12-14%) or commodity sellers (eg. $SMCI, $DELL 8-14%) This is a specialized war-validated defense AI pure-play for drone swarms, ghost fleets, USVs, and others, with extremely high margins, at $155M MC. I've found this to be an exciting re-discovery, so I've taken a position.
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建仓$AIRO，看好其低估值及国防无人机订单带来的反弹机会。
我在 $AIRO 上建立了一个头寸，自3天前发布该帖以来已上涨+23%。 尽管 $ONDS 备受炒作，市场似乎仍不了解这只航空航天与国防股票。 这是一家无人机股票，市值约3亿美元，2026年预估收入超1.2亿美元（约2.5倍远期市销率）。 其他同类公司交易倍数为30-40+倍，而像 $AVAV 这样的大公司交易倍数约为9.3倍市销率。 这源于其2025-2026年1.9亿美元的订单指引，减去预估的2025财年约8690万美元及增长部分。 该板块正迎来巨大顺风，来自委内瑞拉/乌克兰的军事冲突以及1万亿美元的国防部国防支出。 $AIRO 已拥有来自北约+乌克兰武装部队的订单积压，包括如 RQ-35 Heidrun 等无人机，专为GPS拒止环境设计（乌克兰-俄罗斯冲突）。 由于其高管团队的历史，存在很大的执行不确定性，但我喜欢以下几点： - 无人机+国防板块变得极其火热 - 该股市销率处于极低水平 - 他们构建的东西很酷，就像我15美元买入 $RKLB 时一样 + 在2025年第三季度，AIRO 因发货延迟严重未达收入预期（报告630万美元 vs 较高预期）。然而，这只是递延收入，股价从30美元跌至10美元，我认为这是一个独特的机会。 这只是一个“淋浴思考”帖，绝非深入尽职调查。关键在于执行，且该股似乎没有任何溢价。 所以，我建仓 $AIRO 只是为了看看它会走向何方。
英文原文
I’ve taken a position in $AIRO and it’s up +23% since this post 3 days ago. Markets still don’t know about this Aerospace & Defense stock, despite $ONDS hype. It’s a drone stock ~$300m MC, with $120m+ est. for 2026 (~2.5 fwd p/s) Others trade at 30-40+ multiples and bigger companies trade at ~9.3 p/s like $AVAV. This stems from their $190M guidance for 2025-2026 bookings subtracted by est. FY 2025 ~$86.9M + growth. There’s a huge tailwind for the sector coming from military conflicts in Venezuela/Ukraine and $1T DoD spending into defense. $AIRO already has order backlog from NATO + Ukraine armed forces for drones like RQ-35 Heidrun, designed for GPS-denied environments (Ukraine - Russia conflicts). There’s a lot of execution uncertainty due to their executive team history, but i like how: - Drone + Defense segment becoming extremely hot -this one trading at extremely low levels of P/S -what they’re building is cool like when I bought $RKLB at $15 + In Q3 2025, AIRO missed revenue expectations badly ($6.3M reported vs. higher expectations) due to shipment delays. However, this is just deferred revenue, the stock dropped from $30 -> $10, I thought this could be a unique opportunity. This is just a shower-thought post, by no means in-depth DD. Name of the game is execution, and this doesn’t seem to have any premiums. So, I’ve taken a position in $AIRO just to see where it goes.
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回复指出在等权重配置下ONDS与RKLB地位相同。
@blu400_ 等权重配置。所以 $ONDS 和 $RKLB 是一样的。
英文原文
@blu400_ Equal weightings. So $ONDS and $RKLB are the same.
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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。
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. $ZETA -2.36% Here's how FinX did last week: FinX 15 Return (1-Week): 11.3% For the entire 2025 calendar year: - WallStreetBets = +76.00% - Bridgewater’s Pure Alpha II = +34% - ARKK Innovation ETF = +35.5% - Perishing Square = +25.3% - SPY Index = +17.72% - Poinpoint Multi-Strategy = +11.6% - - Berkshire Hathaway = +11.4% - Millennium Management = +10.5% - Citadel = +10.5% The Bottom Line: In just 5 trading days, the FinX community beat Citadel’s entire year. We are officially smoking the institutions entering 2026
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$AIRO 现金充裕且属热门赛道，因收入递延被错杀，具备上行潜力。
从基金/垂直领域而非高管团队的角度来看待 $AIRO。例如，@chamath 直到获得 Groq 200 亿美元退出才摆脱负面评价；Saylor 直到 $MSTR 完成“劫案”式操作前只是个梗。这确实有很大影响，但并非全部。 就 $AIRO / $ONDS 而言，鉴于俄乌冲突、北约及国防部向无人机领域注资，该垂直领域应享有溢价（但 Airo 却像困境股一样交易）。 RQ-35 Heidrun 知识产权在无 GPS 环境中极具吸引力。但他们有大量如培训等杂项业务，只是支线任务。 类似 $SMCI，$AIRO 的暴跌也是由积压订单延迟导致（630 万美元 vs 2370 万美元的不及预期）。但 2000 万美元的无人机发货只是推迟而非取消。 净现金 6880 万美元，考虑到其 2.5 亿美元的小市值，这非常稳健。其企业价值/收入倍率为 2.1 倍，而 $AVAV 为 9.4 倍。我印象中 $ONDS 约为 20-30 倍。 总之：现金状况稳健，垂直领域具吸引力，下跌源于收入递延而非取消，低市值带来良好上行空间。 鉴于现金状况及仅属收入递延，它不应像困境股那样交易。
英文原文
Looking @ $AIRO from the fund/vertical not the exec team. For example, @chamath was frowned upon until he got that 20B Groq exit. Or Saylor was a meme until $MSTR pulled off a heist. It does make a large difference, but it's not everything. In terms of $AIRO / $ONDS, especially with Russia/Ukraine conflicts + NATO + DoD funneling money into drone segments, the vertical should command a premium (but Airo, trades like it's distressed). The RQ-35 Heidrun IP, seemed extremely interesting for GPS-denied environments. But they have a ton of misc companies like training that are just side quests. So similar to $SMCI, there was also backlog delays with caused the crash in Airo (the $6.3M vs $23.7M miss). But the $20m drone shipments was just shifted not cancelled. Net cash is $68.8M which is extremely solid given its mini $250m MC, and it trades at 2.1x EV to revenue, compared to others like $AVAV at 9.4x. I think $ONDS was like 20-30 off the top of my head. So TLDR: solid cash position, attractive vertical, drop based on differed revenue not cancelled, low market cap presents good upside. It shouldn't trade like a distressed company because of cash position + just deferred rev.
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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。
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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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!
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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。
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。
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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认可对ONDS的技术分析，考虑建仓。
@sasaa1363 对 $ONDS 的技术分析(TA) 画得很棒，我无法反驳那个分析。看完后我可能会建立仓位。
英文原文
@sasaa1363 Well drawn TA on $ONDS, can’t argue with that analysis. I might initiate a position after looking at it.
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宏观视角下，利用年底季节性、降息预期及机构资金流向，激进配置新云与AI赢家股。
宏观分析： 关注领域：资金流向 · 代理指标 · 季节性 · 仓位配置 布局： _ 新云(Neocloud)：$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。
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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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。
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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博主分享了一份包含多只股票权重的投资组合分散化示例。
@DigestingX 我在这里写了一个投资组合分散化的例子：https://t.co/R7eMeeqR29 （引用内容：我收到了很多关于股票权重的提问。我会构建的投资组合是：30% $NBIS，6% AMZN，5.5% TSM，5% BTC，5% LULU，4% UNH，4% $RKLB，4% LTC，3% ORCL，3% TGT，3% GRAB，2% $IREN，2% META，2% HOOD，2% HIMS，2% AMD，2% NVO，1.5% CRDO，1% BITF，1% ASTS，1% SG，1% UPWK，1% MP，1% FOUR，1% ETOR，1% INTC，1% COIN，1% SMCI，1% MRVL，1% DAVE，0.5% DLO，0.5% MELI，0.5% SNAP，0.5% CRWV，0.2% ONDS，0.2% NFE，0.2% TSSI，0.2% BKKT，0.2% GRRR）
英文原文
@DigestingX I wrote an example of portfolio diversification here https://t.co/R7eMeeqR29
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分享9/25市场观点、定投计划及详细投资组合权重。
9月25日的每日思考+市场下跌分析，如果你喜欢我的见解： 1. 三次降息（Triple rate cut）的概率从65%降至56%。这影响很大，因为人们正在提前交易（front-running）降息预期。无论如何，任何降息通常都会带来大量资金流入，因此对几个月后的市场总体看涨。鲍威尔关于市场估值过高的观点在某些股票上确实成立。Oklo、Quantum等严重高估，但我从不做空。甚至像RKLB这样我喜欢的股票也严重高估。但由于通胀，场外资金太多，除了股票、房地产和BTC外别无他物可持。三次降息意味着他们希望“抢椅子游戏”（musical chairs）再持续8个月。我会开始担心明年夏天。 2. 市场过去两天下跌，我会利用这个机会在$Z下跌15%后定投（DCA），或在$NBIS下跌5%后买入AMZN。我仍需研究$CIFR，因此在下跌17.5%后还不能完全有信心推荐（暂时），如果我喜欢它，我可能会隔夜买入。还有很多有趣的标的可以波段交易，比如RKLB。我仍在等待下个月TGT的六位数看涨期权收益，因为11月的股息。大家都在加载AMZN的看涨期权，但像GOOGL一样，它可能会跌至$210->$200的水平，人们放弃后开始一波愚蠢的反弹。这就是为什么我说如果跌更多就换成看涨期权。 3. 大量税务亏损收割（tax harvesting）正在进行。如果你有耐心等4个月，像ETOR、TGT、LULU这样被低估的公司可能会恢复，但显然除非你使用杠杆+期权，否则不会获得600%+的收益。对于耐心的投资者来说，现在是囤货的好时机。 4. 我一直主张在市场放弃时（例如以太坊$1600）在低位买入，而当Bitmine出现新叙事时，在$4k+卖出是好的时机。即使跌至$3.5k我也不会抄底。我对此有一个完整的论点，但留到另一天再说。这与NBIS不同，后者投机性较低，比如一个170亿美元的合同流入一家市值250亿美元的公司，这只是执行+等待的问题。仍在等待LTC，小市值，市场仍定价90%的ETF获批。几个月后LTC可能会有一个新的Bitmine，凭借小市值可以大幅反弹。 5. 我从未见过除了“ thirst traps”（诱惑照）之外，书签数超过点赞数的帖子，所以你们一定喜欢我的投资组合权重！你已经看到我在这里做日内交易：https://t.co/AjTB69Na65，但每次改变头寸都进行喊单有点烦人，所以我更喜欢只发布一般性见解+论点。 6. 市场定价的是远期收入，即使你今天看到NBIS、TSM等下跌，它们基本面很好，可能会继续上涨。
英文原文
So daily thoughts on Sept 25th + market drop if you like my insights: 1. 3x rate cut went from 65% to 56% from data today. This is a lot more material, since people are front-running rate cuts now. Either way, any rate cut usually lead to large inflows so it's generally bullish for markets months out. Powell's thoughts about market being overvalued holds kind of true for certain stocks. Oklo, Quantum, etc. way too overvalued but never short. Even stuff i love like RKLB, really overvalued. But there's too much money flowing on sidelines, nothing else to hold other than stocks, real estate, btc, because of all the inflation. Triple rate cut implies they want to keep musical chairs running for another 8 moths. I'd start to worry around Summer next year. 2. Market droplast two days, I'd use the opportunity to DCA into $Z after 15% drop, AMZN, or $NBIS after 5%. I still need to research $CIFR so can't really full conviction recommend it after a 17.5% drop (yet), if I like it I'd probably buy overnight. Lot of fun things to swing trade like RKLB on the side. I'm still waiting next month for 6 figures in TGT calls, cause of Nov dividend. Everyone's loading AMZN calls now, but like GOOGL it will might drop to levels like $210 -> $200, where people give up then start some stupid rally. That's kinda why I said shares into calls if it drops more. 3. Lot of tax harvesting taking place. If you have the patience to wait 4 months, lot of undervalued companies like ETOR, TGT, LULU, will likely recover but obviously won't net 600%+ gains unless you do leverage + options. Great time to stock up if you're a patient investor. 4. I've always maintained you should buy stuff at the lows when market gives up on it (eg. Ethereum $1600), and when there's a new narrative with Bitmine, it's a good time to sell at $4k+. I wouldn't buy the dip even if it drops to $3.5k. I have a whole thesis on this but I'll save this for another day. This is only different if it's less speculative like NBIS, like a literal $17B contract flowing into a 25B marketcap company and it's just a matter of execution + waiting. Still waiting for LTC, small marketcap, market still pricing in 90% etf approval. There's likely going to be a new BItmine for Litcoin in a few months, and with a small MC can rally quite a bit. 5. I've never seen a post get more bookmarks than likes other than thirst traps, so you all must like my portfolio weighting! You've already seen me day trade here: https://t.co/AjTB69Na65 but it's a little annoying for me to do call-outs every time I change positions so I'd prefer to just post general insights + thesis. 6. Market prices in forward revenue, even if you see stuff like NBIS, TSM and stuff dropping today, they're great fundamentally and will likely keep going up.
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博主分享其包含NBIS等39只标的的具体投资组合权重配置。
我收到了很多关于股票权重的提问。我会构建的投资组合如下： 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
英文原文
I've been getting a lot of stock weighting questions. A portfolio I'd build would be: 30% $NBIS 6% AMZN 5.5% TSM 5% BTC 5% LULU 4% UNH 4% $RKLB 4% LTC 3% ORCL 3% TGT 3% GRAB 2% $IREN 2% META 2% HOOD 2% HIMS 2% AMD 2% NVO 1.5% CRDO 1% BITF 1% ASTS 1% SG 1% UPWK 1% MP 1% FOUR 1% ETOR 1% INTC 1% COIN 1% SMCI 1% MRVL 1% DAVE .5% DLO .5% MELI .5% SNAP .5% CRWV .2% ONDS .2% NFE .2% TSSI .2% BKKT .2% GRRR
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博主寻求高确信度小盘股推荐，拟投入10万美元以上进行深度研究。
正在挖掘具有10倍以上上涨潜力且势头正劲的小盘股。如果大家对以下股票有基于理由的高确信度，我将投入10万美元以上： $APLD（市值50亿）、$CIFR（48亿，继$IREN上涨后） _ $ONDS（19.9亿）、$NVTS（13亿）、$MVST（10亿）或其他推荐 真心求问，非投资建议——只是在寻找深度研究(DD)线索
英文原文
Exploring small caps with 10x+ upside and gaining traction. Will throw $100k+ at some if people have high conviction with a reason: $APLD (5B), $CIFR (4.8B) after $IREN run _ $ONDS (1.99B), $NVTS (1.3B), $MVST (1B), or other recs Genuinely asking, not advice — just DD-hunting