$CPSH
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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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展示含杠杆的AI与加密多头组合，强调风险管理避免全仓小盘股。
组合权重是我被问得最多的问题。 以下是我的投资组合构成： 35% 存储超级周期 _ 10% 三星电子 10% 海力士 10% $MU 5% $SNDK 25% 数字资产敞口 _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% 金融科技/广告 5% $RDDT 5% $ETOR 5% $TTD 15% 数据中心 - 10% $NBIS 5% $CRDO 10% 半导体 _ 5% $INTC 5% $TSM 10% 光子学 5% $LITE 2.5% $AXTI 2.5% $COHR 5% 对冲/现金 5% 对冲（例如 $VIX 或 $QQQ 看跌期权，尤其是现在） 10% 小盘股“登月”标的 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH 这使用了轻微杠杆，例如 1.25 倍。 额外杠杆（最高 1.5 倍）： - 波段交易（例如 $GLXY） 我的投资组合看起来与此大致相似，但包含更多随机名称如 $AEHR 或 欣兴电子，且权重不同。 这是做多半导体 + AI 超级周期，并在加密货币中进行复苏交易。如果（谷歌、Meta、微软）削减支出，这将造成打击，但他们刚刚增加了资本支出。 但这只是展示我如何进行风险管理，全仓押注像 $POET 这样的小盘股是非常危险的。
英文原文
Portfolio weightings is my most common question. Here’s what my portfolio looks like: 35% Memory Supercycle _ 10% Samsung Electronics 10% Sk Hynix 10% $MU 5% $SNDK 25% Digital Asset exposure _ 10% $IBIT 5% $COIN 5% $HOOD 2.5% $CRCL 2.5% $SOL 15% Fintech/Advertising 5% $RDDT 5% $ETOR 5% $TTD 15% Datacenter - 10% $NBIS 5% $CRDO 10% Semi _ 5% $INTC 5% $TSM 10% Photonics 5% $LITE 2.5% $AXTI 2.5% $COHR 5% Hedge/Cash 5% Hedge (Eg. $VIX or $QQQ Puts, especially around now) 10% Small Cap Moonshots 2.5% $VPG 2.5% $LPTH 1.5% $VLN 1.5% $AIRO 1% $OSS .5% $DPRO .5% $CPSH This is using slight margin, eg 1.25x. Additional Margin (up to 1.5x): - Swing Trades (eg. $GLXY) My portfolio looks vaguely similar to this, but with more random names like $AEHR or Unimicron and different weightings. This is long semi + AI supercycle, with a recovery trade in Crypto. If (Google, Meta, MSFT) cut spending this would hurt, but they just increased capex spend. But this is just showing how I do risk management, it’s very risky to full send it into micro caps like $POET.
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澄清CPSH军工应用细节，指出海军项目商业化程度高于弹头研发。
这些是高频交易(HFT)算法对我帖子的反应，每当我提到 $ETOR、$VPG、$LEU 等股票代码时，你们都能看到这种现象。 你说得对，我本应该把细微差别表述得更清楚。 我的观点是：国防/太空/工业领域的应用可以延伸至 -> AI。目前的营收数字较低，因为许多仍是研究合同，但它们是许多项目的独家供应商(sole source)。 以下是更正说明： - 美国陆军作战能力发展司令部(DEVCOM)与 $CPSH 签订了一份为期两年的合同，以验证 CPSH 专有的钨注塑工艺能否制造“可控破片”弹头。 - 关于黑鹰直升机(Hawk Helicopters)的信息来自其官网：“维持像 UH-60 黑鹰这样的传统机队，为引入新型材料提供了独特机会。除了提高系统性能和减轻重量外，现代化工作还必须考虑配置灵活性和简洁性，以支持多样化场景下的作战。” - 这是关于设计“新型装甲地板”的小企业创新研究(SBIR)，该地板提供弹道防护，并可应用于传统(UH-60)和未来垂直起降(FVL)旋翼机。 - 关于美国海军，这是其新闻稿的原话：“这些面板是先进弹道屏蔽组件的一部分，旨在支持美国海军航空母舰和其他水面舰艇的弹道防护系统升级。” 上述所有应用场景均为事实。其中，如美国海军战舰的应用相比钨“可控破片”弹头而言，商业化程度更高。
英文原文
These are HFT algorithms reacting to my posts, you see this with every ticker mention I do from $ETOR, $VPG, $LEU, and others. You're correct I should have worded the nuance better. The point was the applicationsfor Defense/Space/Industrial could be used for -> AI. The revenue numbers are low as many are still research contracts but they are sole source for many programs. This is the correction: - U.S. Army Combat Capabilities Development Command (DEVCOM) had two year contract with $CPSH to see if CPSH’s proprietary injection molding process for tungsten can create "controlled fragmentation" warheads”. - For Hawk Helicators it was from their website "Sustaining legacy fleets, like the UH-60 Black Hawk, provides a unique opportunity to incorporate novel materials. In addition to improving system performance and reducing weight, modernization efforts must consider configurational flexibility and simplicity to support operations across diverse scenarios." - This was SBIR research to design a "novel armored floor that provides ballistic protection and which can be implemented in both legacy (UH-60) and future vertical lift (FVL) rotorcraft" - For US Navy, this was the quote verbatim from their PR: "The panels are an integrated component of advanced ballistic shields developed in support of ballistic protection system upgrades on U.S. Navy Aircraft Carriers and other surface ships" All the applications usage above are true. Some, like US Navy Warships, are more commercialized compared to tungsten that can "controlled fragmentation" warheads”.
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博主回应算法反应，发布$CPSH作为潜在收益证据。
@DoctorMeltzer 是的……我在看成交量，现在的算法总是会对我的帖子做出反应，我也没办法。不过不用着急，因为等待 $CPSH 的时间还挺长的，我只是想发这条作为证据，以防万一结果很好（而且是在一个下跌日）。
英文原文
@DoctorMeltzer Yeah… I’m looking at the volume, the algorithms always react to my posts nowadays can’t help it. There’s no rush though since it’s a decently long wait for $CPSH but I did want just want to post this as proof in case it ends up well (and on a red day)
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建仓$CPSH，看好其作为西方AlSiC龙头在AI散热瓶颈中的潜力及国防业务提供的安全垫。
我已建仓 $CPSH，将其作为美国铝硅碳化物(AlSiC)纯题材的瓶颈环节标的。 他们占据了近期半导体级 AlSiC 市场约 25% 的份额。 他们的客户包括： - 美国海军（战争） - 美国陆军（战争） - 美国能源部（能源/核能） - 美国太空军/ NASA（太空） - 洛克希德·马丁 ( $LMT ) - 雷神 ( $RTX ) - 诺斯罗普·格鲁曼 - 通用动力 - 美国海军在最新航母（如杰拉尔德·R·福特号和亚伯拉罕·林肯号）的弹道防护系统中使用 $CPSH 的产品。此外，通过洛克希德·马丁，丹麦海军等舰队也在使用。 - 美国陆军在 40mm 钨弹头和 UH-60 黑鹰直升机中使用 $CPSH 的产品。 - 美国能源部在通过铁路运输核燃料 (SNF) 和高放射性废物时，使用 $CPSH 的产品作为冲击限制器。 - 美国太空军/ NASA 在 GPS 卫星中使用 $CPSH 的产品，且国际空间站的许多电子系统中也有应用。（这还不包括火星车任务） - 洛克希德、雷神、诺斯罗普和通用动力使用 $CPSH 的产品用于导弹热屏蔽组件、雷达系统的 AlSiC 外壳以及热管理材料。 AlSiC（铝硅碳化物）是一种众所周知的材料复合材料，适用于从太空到国防等众多极端热条件应用。 但随着 $NVDA Rubin 架构在 2027-2028 年扩展至 2300-2500W，由于热翘曲问题，同样的材料可能会被 AI 领域采用。 我的观点是，这种原本用于高超音速导弹到火箭鼻锥等极端热变化处理的微小 TAM（总可服务市场）材料，很可能被用于 AI 部署。 这类似于磷化铟(InP)（电信领域的利基 TAM）随着光子学扩展成为瓶颈，或者东陶(Toto)的精细陶瓷对内存至关重要。 随着 AI 向 Rubin 世代芯片升级，AlSiC（尤其是后处理环节）可能成为一个潜在的瓶颈。 全球大部分 AlSiC 产能仍源自东亚（Denka, Sumitomo, BYD, JFC）。 但 CPS 目前主要的“美国/西方对冲”标的，且 CPSH 表示他们占据了近期可用 AlSiC 市场的大约 25%（CPS Technologies AGM 演示文稿）。 而供应链中这一部分的市值目前仅约 1 亿美元。 他们的资产负债表： 1270 万 -1380 万美元（调整后）现金。几乎零债务。库存约 540 万美元，负债：约 506 万美元（例如 353 万美元用于铝和碳化硅）。 同比营收 880 万美元，增长 +107.29%。 同比净利润增长 20.796 万美元 (+119.94%)。 健康的资产负债表加上美国政府战略利益 + 国防承包商，使得 $CPSH 作为领先的西方 AlSiC 供应链，在 1 亿美元甚至 2 亿美元市值时下行风险较低。 有新合同，例如去年 10 月从领先的半导体公司（可能是 ~Infineon）获得的 1550 万美元订单，增加了营收上行空间的可见性。他们正在扩大产能（由 10 月 25 日的融资支持），这暗示需求更高。 “我们相信我们是 AlSiC 设计和制造的全球领导者……我们的许多产品专为单一客户应用设计，使我们成为这些组件的唯一来源供应商。”（10-K 文件） TLDR：AI 的上行空间完全取决于科技巨头的材料转向。类似于东陶马桶制造商对内存的作用，但 AI 的契合度似乎很强。 但好处是，其现有的美国国防部承包商名单使公司下行风险较低。 这只是我想分享的个人论点。 但个人而言，我已建仓 $CPSH 作为 AlSiC 题材（以及做多美国供应链），因为它可能在 2027-2028 年 AI 扩展至 2000W+ 时，在解决热翘曲方面发挥重要作用。
英文原文
I've initiated positions in $CPSH as a US AlSiC pure play chokepoint. They represent ~25% of the near-term semi-grade AlSiC market. Their customers: - U.S. Navy (War) - U.S. Army (War) - U.S. Dept. of Energy (Energy / Nuclear) - U.S. Space Force / NASA (Space) - Lockheed Martin ( $LMT ) - Raytheon ( $RTX ) - Northrop Grumman - General Dynamics - The U.S. Navy uses $CPSH for ballistic protection systems of the newest carriers (like the USS Gerald R. Ford and USS Abraham Lincoln). As well as other fleets like the Danish Navy through Lockheed. - US Army uses $CPSH for 40mm Tungsten Warheads and UH-60 Black Hawk Helicopters. - The US Dpt of Energy uses $CPSH for impact limiters when transferring nuclear fuel (SNF) and high-level radioactive waste via rail. - U.S. Space Force / NASA uses $CPSH for GPS satellites and it sits in many electronic systems in the International Space Station. (Also not including Mars Rover missions) - Lockheed, Raytheon, Northrop, and General Dynamics uses $CPSH for missile heat-shielding components. AlSiC housings for radar systems, and thermal management materials. AlSiC or (aluminum silicon carbide) is a well known material composite that handles extreme thermal conditions for many applications above from space to defense. But as architectures from $NVDA Rubin to scale up to 2300-2500W in 2027-2028, that same material may be used AI due to heat warpage. My thoughts were that the tiny TAM material used to handle extreme changes in heat from hypersonic missiles to rocket nose cones may likely be used for AI deployments. This is similar to how InP (niche TAM for Telecom) became a bottleneck as photonics scaled up. Or how Toto's fine ceramics for toilets were critical to memory. AlSiC (esp. post-processing) may become a potential chokepoint as AI ramps up to Rubin generation chips. Majority of the world's AlSiC production still originates in East Asia (Denka,Sumitomo, BYD, JFC). But CPS is currently the primary "US/Western hedge" and CPSH states they represent roughly 25% of the near-term available AlSiC market (CPS Technologies AGM Presentation). And that percentage of the supply chain is only worth ~$100 MC right now. Their balance sheet: $12.7M – $13.8M (pro-forma) cash. Almost 0 debt. Inventory ~5.4M, Liabilities: ~$5.06M (eg. $3.53M for aluminum and silicon carbide) Y/Y revenue is 8.8M, up +107.29%. Y/Y Net income is up 207.96K (+119.94%). Healthy balance sheet and US Government strategic interest + Defense Contractors gives $CPSH low downside risk at $100M or even at $200M as the leading Western AlSiC supply chain. There were new contracts eg. $15.5M order from the leading Semi likely ~Infineon last October, that more visibility into revenue upside. And they are expanding production (funded by their Oct 25th raise), which hints to higher demand. "We believe we are the world leader in the design and manufacture of AlSiC... Many of our products are designed specifically for a single customer application, making us the sole-source provider for those components." (10-K filings) TLDR: The AI upside depends entirely on a material pivot by big tech. Similar to the Toto toilet maker for memory type but the AI fit seems strong. But the benefit is that its existing list of US DoD contractors gives the company lower downside risk. This is just my own personal thesis I wanted to share. But personally I've taken positions in $CPSH as an AlSiC play (and long US supply chains) as it may play an important role with thermal warpage with AI in 2027-2028 as we expand to 2000W+.
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发布西方供应链瓶颈小盘股清单，警示瓶颈不等于好投资。
@__EthanHunt__ 我在潜在瓶颈列表中列出了 $WOLF，这家公司确实很有趣。但“瓶颈”和“好投资”之间是有区别的。我觉得我做的尽职调查(DD)不能白费，所以干脆把它发出来了。 https://t.co/XCICxxODXQ
英文原文
@__EthanHunt__ I listed $WOLF in my list of potential bottlenecks, and the company genuinely is interesting. But there's a difference between "bottleneck" and good investment. Felt my the DD I did would go to waste, so ended up just posting it. https://t.co/XCICxxODXQ
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梳理西方供应链瓶颈小盘股，警示基本面风险，看好部分标的5倍潜力。
个人研究摘要。 西方供应链瓶颈如 $LPTH 和 $AXTI： $MTRN - 铍（Spor Mountain） $HALEU - 铀 | 小型模块化反应堆(SMRs) $ESE - 太空燃料箱（通过 Vacco） $GHM - 真空喷射器与表面冷凝器 | 美国海军 $FEIM - 原子钟 $OPXS - 光激光潜望镜 $TAYD - 振动 $PKE - 热 $VNP.TO - 西方镓 $TDY - 抗辐射图像传感器 $RDW - 展开式太阳能电池阵列 $PDFS - 英特尔 18A 的 Exensio 良率 $WOLF - 碳化硅 $RELL - 超级电容器与磁控管 $CPSH - 热管理/铝碳化硅 $VREX - X 射线管 $GSM - 西方金属硅 $INTT - 极端热循环 $CODA - 浊度（浑浊） $NTI - 腐蚀 $PLAB - 光掩模 $MKSI - 等离子体控制 $KULR - 爆炸性热量 $PESI - 放射性混合废物。 $CVV - 气相沉积成固。 $LPKFF - 激光诱导深刻蚀/玻璃基板 这些只是我研究的更多“低调”小盘股 -> 最终选择了 $AXTI 和 $LPTH，如果有人感兴趣的话。 其中许多尽管至关重要，但基本面很差，例如：$IQE（已广为人知），所以盲目买入瓶颈股并不是个好主意。 还有更多我尚未完成研究的（因此未列入），要找出那些尚未被定价的标的要难得多。 但如果其中许多在未来一年上涨 5 倍，我也不会感到惊讶。
英文原文
Personal TLDR research. Western supply chain bottlenecks like $LPTH and $AXTI: $MTRN - Beryllium (Spor Mountain) $HALEU - Uranium | SMRs $ESE - Space fuel tanks (through Vacco) $GHM - Vacuum Ejectors & Surface Condensers | U.S. Navy $FEIM - Atomic Clocks $OPXS - Light Laser Periscopes $TAYD - Vibration $PKE - Heat $VNP.TO - Western gallium $TDY - Rad-Hard Image Sensors $RDW - Roll-Out Solar Arrays $PDFS - Exensio Yield for Intel 18A $WOLF - Silicon Carbide $RELL - Ultracapacitors & Magnetrons $CPSH - Thermal / Aluminum Silicon Carbide $VREX - X-Ray Tubes $GSM - Western Silicon Metal $INTT - Extreme Thermal Cycling $CODA - Turbidity (Murkiness) $NTI - Corrosion $PLAB - Photomask $MKSI - Plasma Control $KULR - Explosive Heat $PESI - Radioactive mixed waste. $CVV - Gas-to-Solid Deposition. $LPKFF - Laser Induced Deep Etching/ Glass Substrates These are just more of the "under the radar" small caps I was researching -> ended up choosing $AXTI and $LPTH if people were interested. Lot of them have terrible fundamentals despite being vital eg: $IQE (already pretty known), so it's not a good idea to just blindly buy a bottleneck. There were a lot more out there I haven't finished researching (so didn't include), and it's a lot harder to pinpoint ones that haven't been priced in. But wouldn't be surprised if a lot of these went up 5x over the next year.