$KLIC

提及 4 首次 2026-02-24 最近 2026-05-12

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  1. 众包人形机器人投资标的清单,汇总出现频率最高的六只股票。

    这是人形机器人敞口众包列表: - $OUST - Rainbow Robotics (277810) - $AMBA - Ubtech Robotics - $MKA - Nextronics - $SYM - Harmonic Drive (6324) - $VPG - 北京极智嘉 - $MBLY - $ARBE - Nabtesco (6268) - $SERV - $HSYDF - Robotstrategy - $ZBRA - $CATL - $ABB - $BOT - Unitree (尚未上市) - $LSCC - 亿sunny Robot (300024) - $NOVT - $RR - $PDY - 禾赛科技 (2525) - $SHA.DE - $XBOT - $XPEV - $BAM - $ALNT - 6268.T - $AMBQ - $ATOM - $MRAM - $ISRG - $HLIT - Robosense (2498) - $HG - $ACUVI - $CGNX - $KLIC - $BSL - $AEVA - $AUR - $CTH.V - $IMSR - $NEO - $KDK - $MRLN - $KITT - $INDI - $NOVT 凭记忆: Harmonic Drive、$OUST、$BOT、$VPG、$MBLY和Ubtech出现频率最高。 接下来会对这些提及最多的标的开始做尽职调查。

    英文原文

    Here's the humanoid exposure crowdsourced list: - $OUST - Rainbow Robotics (277810) - $AMBA - Ubtech Robotics - $MKA - Nextronics - $SYM - Harmonic Drive (6324) - $VPG - Beijing Geekplus - $MBLY - $ARBE - Nabtesco (6268) - $SERV - $HSYDF - Robotstrategy - $ZBRA - $CATL - $ABB - $BOT - Unitree (not public yet) - $LSCC - Esunny Robot (300024) - $NOVT - $RR - $PDY - Hesai (2525) - $SHA.DE - $XBOT - $XPEV - $BAM - $ALNT - 6268.T - $AMBQ - $ATOM - $MRAM - $ISRG - $HLIT - Robosense (2498) - $HG - $ACUVI - $CGNX - $KLIC - $BSL - $AEVA - $AUR - $CTH.V - $IMSR - $NEO - $KDK - $MRLN - $KITT - $INDI - $NOVT Off the top of my head: Harmonic Drive, $OUST, $BOT, $VPG, $MBLY, and Ubtech showed up the most. Will start doing DD into mentions.

  2. 博主复盘YTD 477%收益,归功于AI供应链瓶颈研究与亚盘资金轮动策略。

    年初至今在 $NVDA 财报后表现: 477.27%。 大部分收益源于我过去几个月的研究: 例如从近期上涨数百倍的 $AXTI 磷化铟(InP)瓶颈中获利。 或者利用 Jane Street 因 SK 海力士/三星的隐含波动率(IV) Vega 扩张而在 $EWY 上的交易获利。 许多其他交易在短期内也获得了百分之几十甚至数百%的回报。 比如 $XLU 一周上涨 3%,以及 $MU 和 $SNDK 史诗级的方向性反弹。 人们通常喜欢看这样的最终结果,这确实最引人注目。 但当前收益的大部分基础早在几个月前就已奠定,从对 $LITE 的 Google BOM 分析,到去年对 Unimicron、Nittobo 甚至 $TSM 的半导体供应链瓶颈研究。 即使现在,我也在为未来播种,例如对电力/电网板块 $XLU 的分析,或理解上风险较高但作为光子学供应链中 $LITE 供应商的 $IQE。 我通常遵循以下流程: > 研究帖子(初始论点) > 将其转化为实际想法和交易 > 对 Alpha 进行后续尽职调查(例如 SMM InP 定价) > 当行情上涨时庆祝。 跨行业,且通常关注有动量的板块。 而不是死守单一个股,或只做分析而不交易。 我认为人们可能觉得这种风格令人耳目一新。 我认为最近我只是在利用两个不同的趋势: 1. 聚焦 AI 供应链中的活跃瓶颈 - 存储:$SNDK、$MU、SK 海力士、三星、$SIMO - 光子学:$LITE、$COHR、$AAOI、$IQE、$AXTI 和 Yamamura - 电力电网:$XLU - 先进封装/良率:$AMKR、$ONTO、$CAMT、$KLIC、$FORM 和 $AEHR 2. 然后聚焦资金轮动至台湾、日本、韩国。 基本上上周资金轮动是从美国/中国 -> 韩国、台湾、日本。 像 $EWJ 这样的 ETF 或 Nanya Plastics 等个股正在起飞。 - 台湾股票基金最近单周净流入超过 10 亿美元,这是几个月来首次 - 对于日本:高盛图表显示 +0.37 的标准差净买入 - 对于韩国,外国人在 2 月上半月净买入约 1.37 万亿韩元(约 10 亿美元) 而高盛图表显示北美空头活动令人震惊的 -1.52 标准差。 所以这可能是我对 $HOOD 投资者因缺乏亚洲股票敞口而表现不佳的假设原因。 原因是超大规模云厂商的资本支出交易流向供应链中的亚洲国家(例如,一些分析师预测 SK 海力士 2027 年远期市盈率仅为 2.2,这很荒谬)-> 机构跟随资金流进行资本轮动。 至于一些反思,我真惊讶于如今有多少人阅读我的帖子,这真的让我感到谦卑! 我通常不太庆祝(去年我只做过一次,当时是 1 年回报 600%+),但我惊讶于今年我在时机把握和论点正确率上的好运。 我并不完美,我确实会犯一些错误,但更重要的是我每天绿色的日子多于红色的。 但感谢大家,我在两三个月内从小账户增长到了 83K!

    英文原文

    Year to Date post $NVDA earnings: 477.27%. Majority of the gains are the result of the research I've done the past few months: From the $AXTI's InP chokepoint that went up few hundred percent recently. or profiting off Jane Street from $EWY IV vega expansion for Sk Hynix/Samsung. Many others were tens of % or hundreds of percent returns each in a short timeframe. Like $XLU going up 3% in a week to the epic directional rally of $MU and $SNDK. I think people just like to see the end results like this, which is understandably the most eye-catching. But most of the groundwork for the current returns was laid out months ago from $LITE Google BOM analysis to semi supply chain bottlenecks from Unimicron, Nittobo, and even $TSM last year. Even now I’m planting the seeds for the future with analysis on $XLU for the power/grid sector, or understandably higher risk companies like $IQE as a $LITE supplier for the photonics supply chains. I typically shift from: > Research Posts (Initial thesis post) > Map that into actual ideas + trades > Follow-Up DDs on Alpha (eg. SMM InP pricing) > celebrate when things go up. cross-industry, and typically on sectors with momentum. Rather than sticking single stocks, or just analysis only (instead of trading). And I think people might have found this style refreshing. I think recently, I’m is just capitalizing on two different trends: 1. Focusing on active bottlenecks in AI supply chains - Memory like $SNDK, $MU, Sk Hynix, Samsung, $SIMO - Photonics like $LITE, $COHR, $AAOI, $IQE, $AXTI, and Yamamura - Power Grid like $XLU - Advanced Packaging/Yields - $AMKR, $ONTO, $CAMT, $KLIC, $FORM, and $AEHR 2. Then focusing on Capital Rotation into Taiwan, Japan, Korea. Basically past week capital rotation was rotating from US/China -> Korea, Taiwan, Japan. ETFs like $EWJ or individual stocks from Nanya Plastics have been taking off. - Taiwan Equity Funds recently took in over $1 billion in a single week for the first time in months - For Japan: GS chart's +0.37 long buying - For Korea, foreigners were net buyers of roughly 1.37 trillion won (~$1 billion USD) in the first half of February While GS chart shows a staggering -1.52 SD in short activity for North America. So that's probably my assumption on why $HOOD investors haven't been doing too well from a lack of Asian equity exposure. The reason being Hyperscaler capex trade flows into Asian countries in the supply chains (eg. Some analysts projected Sk Hynix to have 2.2 2027 fwd p/e, which is absurd) -> institutions following the flow with capital rotation. As for some reflection, I'm genuinely surprised by how many people read my posts nowadays and it’s really humbling! I don’t really celebrate this much (last year I only did one time with a 600%+ 1Y return) but I’m amazed by how lucky I am this year with timing and getting a lot my thesis right. I’m not perfect, I do get a few things wrong, but what’s more important is I get more green than red every day. But thanks to everyone, I grew from a little account to 83K in like two or three months!

  3. 分享过往高收益交易经验,强调轮动策略,并列出当前看好的AI瓶颈板块。

    去年我分享了我的1年回报率: 在我加入X之前就已达到630.44%。 外面有很多阴谋论者。 但我确实是一个不错的自由裁量交易员(Discretionary Trader)。 其中很大一部分归功于: > 抢跑减半(Front-running halving) > 在10多美元时买入 $RKLB > 在10多美元时买入 $HOOD > 交易总统提名催化剂 > 搭乘多次上涨浪潮。 大多数人不会轮动,而是全程持有一只股票。 诀窍是搭乘每一次上涨浪潮,如果盈利开始放缓/停止,就转向下一个,不要对某只股票产生过多依恋。 今年也是如此,只是不同的板块和催化剂。 (引用内容): 年初至今:412.72% 其中很大一部分只是选对了板块,从Jane Street算法的每周波动中获利,以及一点运气。 在瓶颈多头方面,目前我最喜欢的是: 1. 存储 - 三星,SK海力士,$SNDK,$MU,$SIMO 2. 光子学 - $LITE,$COHR,$AAOI,$AXTI,(可能还有Yamamura,但程度稍弱)。 3. 电力/电网 - $XLU。 4. 先进封装资本支出 - $AMKR,$ONTO,$CAMT,$KLIC,和 $FORM。 除了可能 $KLIC 之外,我之前都讨论过这些。 但其中大多数如果不是全部,都在短时间内上涨了50-100%+,这放大了整体交易回报。 今年我学到的最好一课是轮动到资金流向和当前瓶颈处。而不是试图在网络安全等板块进行逆势反转交易。 我也免费发布所有我的观点,希望人们能从中吸取一两点教训!

    英文原文

    Last year I shared my 1 year return: 630.44% before I even joined X. Lot of conspiracy theorists out there. But I do happen to be a decent discretionary trader. Large part of it was > front-running halving > buying $RKLB in the 10’s > buying $HOOD in the 10’s > catalyst trading Presidential nominations > riding multiple waves up. Majority of people don’t rotate and sit on a single stock the entire time. The trick is to ride every wave up and if earnings start to slow/stop, move on to the next and don’t get too attached to a stock. It’s the same thing with this year, just different sectors and catalysts.

  4. 分享412%收益来源,推荐存储、光子等瓶颈板块,强调顺势轮动。

    年初至今:412.72% 其中很大一部分归功于选对了板块,从 Jane Street 算法的每周波动中获利,以及一点运气。 在瓶颈环节的多头持仓方面,目前我最看好: 1. 存储 - 三星、SK 海力士、$SNDK、$MU、$SIMO 2. 光子学 - $LITE、$COHR、$AAOI、$AXTI,(也许还有山形电机,但程度稍弱)。 3. 电力/电网 - $XLU。 4. 先进封装资本支出 - $AMKR、$ONTO、$CAMT、$KLIC 和 $FORM。 除了可能 $KLIC 之外,我之前都讨论过这些标的。 但其中大多数甚至全部在短期内上涨了 50-100%+,这放大了交易的整体回报。 今年我学到的最好一课是:跟随资金流向和当前的瓶颈环节进行轮动。而不是试图在网络安全等板块进行逆势反转操作。 我也免费发布所有我的观点,希望人们能从中吸取一两点经验!

    英文原文

    Year to Date: 412.72% Lot of it is just picking the right sector, profiting off of Jane Street algos weekly, and a bit of luck. In terms of bottleneck longs, these are currently my favorite: 1. Memory - Samsung, Sk Hynix, $SNDK, $MU, $SIMO 2. Photonics - $LITE, $COHR, $AAOI, $AXTI, (maybe Yamamura too, but not to the same degree). 3. Power/Grid - $XLU. 4. Advanced Packaging Capex - $AMKR, $ONTO, $CAMT, $KLIC, and $FORM. I’ve talked about all of these before aside from maybe $KLIC? But most if not all are up like 50-100%+ in a short timeframe, which amplifies overall returns from trading. Best lesson I’ve learned this year was to rotate where the money flows and current bottlenecks. Rather than attempting contrarian turnaround plays in sectors like cybersecurity. I publish all my ideas for free too so hopefully people can take away a thing or two!