方法论
研究框架、选股思路、思维方式 · 共 668 条 · 滚到底自动加载更多
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建议避免使用Robinhood交易期权，因其执行质量差且存在利益冲突。
@BitcoinDiddy 没错，使用 Robinhood 交易短期期权纯粹是在浪费钱。做市商(Market Makers) 如 Citadel 实际上是在付钱给 $HOOD，以换取更差的成交质量，并针对信息不对称的散户资金进行反向交易。使用 $IBKR 或其他券商，你能获得更好的执行质量，且订单直接对接交易所。
英文原文
@BitcoinDiddy Yep, using Robinhood for short dated options is just throwing away money. MMs like Citadel literally pay $HOOD to give users worse fill and to trade against uninformed retail flows. Using $IBKR or others, you get better execution, and it goes direct to exchanges.
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软件无护城河，网络效应与监管壁垒才是核心竞争优势。
1. 网络效应(Network Effect)。你可以在一天内写出 Reddit 的代码。但因为大家都同意使用像 Hyperliquid 或 Polymarket 这样的平台，这赋予了它可防御的价值。 2. 同意任何新创业公司的观点。软件没有护城河(Moat)。 3. 主要的护城河是监管/时间。Stripe 甚至花费了 11 亿美元，仅为了通过与 Bridge 的合作获得牌照的快速通道并收购竞争对手。
英文原文
1. Network effect. You can code Reddit in a day. But because everyone uses agrees to use something like Hyperliquid or Polymarket gives it defensible value. 2. Agreed for any new startup. No moat in software. 3. Main moat is regulation/time. Stripe literally spent $1.1B just for a fast path for licenses with Bridge and buy out competition.
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警示散户勿重仓短期期权，亚马逊周权期权因股价连跌归零。
Reddit 上最受关注的故事： 一名 Robinhood 用户用积蓄购买了五位数金额的 $AMZN 周权看涨期权(Weekly Calls)。 条件是？ 股价需收复 205 美元以上，潜在收益可能超 100 万美元。 否则归零。 今天，亚马逊收于 198.8 美元。 亚马逊已连续第 9 个交易日下跌，导致其周权期权组合在本周结束时变得一文不值。 故事的教训：请停止持有短期期权。 那 2.6 万美元本可以随时间复利增长至 50 万美元，但现在它毫无价值。
英文原文
The most watched story on Reddit: A Robinhood user bought 5 figures of $AMZN weekly calls with their savings. The condition? Recover past $205 for a potential $1M+. Or go to $0. Today, Amazon finished at $198.8. Amazon has now dropped for the 9th straight session, causing their portfolio of weekly options to end the week worthless. Moral of the story: Please stop holding short-term options. That $26K could easily compound to $500K with time, but now it’s worth nothing.
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分享研究灵感来源：X平台互动、私信及线下讨论。
@yomattyboi - 其中三分之一来自像 @zephyr_z9 这样的 X 用户，他们引用转发我关于“$AXTI 磷化铟(InP) 兄弟们，你们考虑过 _ 吗？”的内容。然后我会进一步向上游进行研究。 - 另一部分来自评论区或人们提及股票时的私信(DM) - 最后一部分仅仅是线下的行业讨论
英文原文
@yomattyboi - 1/3rd of it is folks on X like @zephyr_z9 quote tweeting me about “ $AXTI InP bros, have you thought about _?” Then I do more research upstream. - other part is comment sections or DMs from people who tag about stocks - last part of it is just industry discussions irl
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建议散户简化策略，聚焦核心标的如台积电，而非追踪复杂上游瓶颈。
对于绝大多数散户而言： 如果你想搭乘当前资本支出(capex)趋势的快车，我认为以下这些是必须持有的标的： 1. 存储(Memory) - $MU, 三星, 海力士, $SNDK 2. 光子学(Photonics) - $LITE, $COHR 3. CoWoS/晶圆代工(Foundry)/先进封装(Advanced Packaging) - $AMKR, $TSM, $INTC 随着向产业链上游深入，存在许多细微的瓶颈环节，例如我常提到的： 光子学的基板/原料层面的 $AXTI，共封装光学(CPO)中ELS领域的利基玩家如 $AAOI，良率相关的 $TER 或 $AEHR，硅光(SiPh)领域的 $TSEM。甚至是数据中心中从日月光(unimicron)到其他厂商的基板铜用量。 我的观点是，对于绝大多数(99%)的人来说，你可以选择“简单模式”生活，无需追踪 X 上的每日更新或 $AMKR 的资本支出流向。 只需关闭大脑中关于供应链映射/更新的部分，坚持持有像 $TSM 这样处于核心地位的标的，有时是更好的选择。 它很可能也会跑赢大部分上游玩家。
英文原文
For the vast majority of retail: If you want to ride the capex trends happening right now, these are probably must have imo: 1. Memory - $MU, Samsung, Sk Hynix, $SNDK 2. Photonics - $LITE, $COHR 3. CoWoS/Foundry/Advanced Packaging - $AMKR, $TSM, $INTC There's a lot of nuanced bottlenecks as you go upstream I talk about like : $AXTI in the substrate/feedstock level for photonics, random niche players like $AAOI for ELS in CPO. $TER or $AEHR for yields, or $TSEM for SiPh. Or even copper usage in DCs to substrates from unimicron to others. My opinion is that for the vast 99% of people, you can live life on easy mode without tracking day-to-day updates on X or where the capex spend from $AMKR goes. Just turning your brain off from all the supply chain mapping / updates, then just sticking with things like $TSM which is the center of it all is sometimes the better thing to do. It probably outperforms a large percentage of the upstream players as well.
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Neocloud板块卖空多为对冲，基本面强劲时无需过度关注。
从 $IREN 到 $WULF 的 Neocloud 板块的卖空兴趣(SI) 主要是可转换票据对冲，而非真正的做空。当然，像 Hedgeye 这样的机构也在增加 $NBIS 的 SI 数据，因此很难得知实际数字。话虽如此，如果基本面强劲，我其实不太在意 SI。
英文原文
Short interest from Neocloud sector from $IREN to $WULF are mostly convertible note hedging, not actual shorts. Of course there’s firms like Hedgeye adding to that number for $NBIS SI so it’s hard to know the actual figure. That being said don’t really care too much about SI if fundamentals are strong.
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小资金应集中投资高弹性标的，大资金则需降低风险。
微妙。通常“集中创造财富，分散保全财富”这句老话是成立的。 我大体同意，除非你分散投资的所有标的都是高贝塔且高度相关的。我不确定 $IBIT 的复苏或 $SNDK 哪个涨得更快，所以我选择多匹马下注，并给它们装上 $RKLB 这样的火箭助推器。 但通常来说，是的，投资组合越小，集中度应该越高。如果你有 $10k，也许只选2-3个你最看好的，比如 $SNDK 或 $POET（但显然风险稍大）。 用 $10k 去稳健复利 $GOOGL 或进行分散投资，不会改变你的生活（你打工赚得更多）。但一般来说，随着投资组合规模的增长，你需要承担的风险就越小。
英文原文
Nuanced. So typically concentration builds wealth and diversification preserves it rings true. I generally agree unless all your diversified picks are high beta and correlated. I'm just not sure if $IBIT recovery or $SNDK would go up faster so I bet on multiple horses with $RKLB rockets attached to them. But usually, yes, the smaller the portfolio is, the more concentration your portfolio should be. If you have $10k, maybe just pick 2-3 of your favorites like $SNDK or $POET (but obviously a tad more risky). Safe compounding $GOOGL or diversifying with those amounts won't change your life (you would get more working a job). But generally the more your portfolio goes up the less risk you need to take.
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市场恐慌情绪蔓延，建议此时寻找被错杀的入场机会。
在$PYPL今日暴跌20.7%+后，股市已进入恐惧(Fear)区域。 在$COIN暴跌48%且$MSTR在过去3个月暴跌51%后，加密市场(Crypto markets)现已处于极度恐惧(Extreme Fear)状态。 散户似乎正在恐慌。 现金(Cash)是一种仓位，但它本应在一周前就确立。 现在可能是寻找入场点的好时机。尤其是当恐惧已经压倒基本面(Fundamentals)时。
英文原文
Stock markets have entered Fear territory after $PYPL dropped 20.7%+ today. Crypto markets are now in Extreme Fear after $COIN crashed 48% and $MSTR crashed 51% in the last 3 months. It looks like retail is panicking. Cash is a position, but it should have been one a week ago. Now might be a good time to look for entry points. Especially when Fear has overridden fundamentals.
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博主视当前市场恐慌为短期流动性冲击，坚持在极度恐惧时买入。
由于白银的强制去杠杆，市场在一天之内就从贪婪转向极度恐惧和“熊市/加密寒冬”了，哈哈。这是过去几年内的第4次了。 作为一个从2016年起经历过每一个加密周期的老手，我会在恐惧达到顶峰时买入。 我认为这只是一次短期的流动性冲击，我正在逢低买入，而非量化紧缩(QT)。 随后将迎来复苏，届时机构将重新配置净多头头寸，这可能发生在未来一两天或几周内。
英文原文
We went from Greed to Extreme Fear and “bear market/crypto winter” in just one day from the silver forced deleveraging lol. This is the 4th period within the last few years. As someone who’s been through every crypto cycle since 2016, I buy when fear is max. I expect this to be a short term liquidity shock which I’m buying into, not quantitative tightening. Then a recovery one institutions reposition net long which could be in another day or two or weeks.
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回顾历史极度恐惧时买入BTC/ETH的高回报，重申逆向投资策略。
突发新闻——今日，加密货币恐惧与贪婪指数(Crypto Fear and Greed Index)触及： 15。极度恐惧(Extreme Fear)。 自2023年以来，这种情况仅出现过3次： ~ 2025年3月11日 ~ 2025年4月7日 ~ 2025年11月22日 如果你在这些天买入 $BTC 和 $ETH 并持有2个月，回报如下： 3/11：+33.7% (BTC)，+39.5% (ETH) 4/7：+33.5%，+43.1% 11/22：+5.9%，+6.2% 3月/4月的下跌是代际级别的买入机会。 11月的下跌复苏较慢，但依然非常有利可图。 无论如何，这是一个古老的故事：恐惧时买入，贪婪时卖出。
英文原文
Just In -- Today, Crypto Fear and Greed Index Hits: 15. Extreme Fear. This has only happened in 3 periods since 2023: ~ 3/11/2025 ~ 4/7/2025 ~ 11/22/2025 If you bought $BTC and $ETH on each of those days and waited 2 months, here were the returns. 3/11: +33.7% (BTC), +39.5% (ETH) 4/7: +33.5%, +43.1% 11/22: +5.9%, +6.2% The March/April dips were generational buying opportunities. The November dip was a slower recovery, but very profitable nevertheless. Regardless, this is a tale as old as time, buy during the fear, sell during the greed.
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解释HFT算法抢跑散户订单，并以此作为做多逻辑。
不，这些是高频交易(HFT)算法在对我发布的帖子做出反应，并抢先执行散户的买入订单流。有一半的时间这是真正的信息发现过程，价格会持续上涨。在这种情况下，这只是正常的信息综合，也是我建立多头头寸的原因。你可以清楚地看到，在我发布股票代码的那一刻，成交量出现了异常。
英文原文
No these are HFT algorithms reacting to my posts and frontrunning retail order buy flows. Half the time it’s genuine information discovery and it keeps going up. In this case this is just normal information synthesis and why I took a long. You can clearly see abnormal volume the moment I posted a ticker.
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警告散户警惕HFT算法抢跑，强调投资需自行研究且无紧迫感。
@Craigstox 是的，这对散户来说是个很好的警告。高频交易(HFT)算法正在抢跑买单然后立即卖出。即使在我发布关于 $ETOR 的内容时，它也随机飙升了3%。 当我发布这类内容时并没有紧迫感（尤其是由于并非适合所有人，请务必自行研究(DYOR)）。
英文原文
@Craigstox Yep that’s a great warning for retail. HFT algorithms are frontrunning buy orders then just selling back. Even when I posted about $ETOR it randomly shot up 3%. There’s no rush when I post this type of stuff (and especially DYOR since it’s not for everyone).
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警告HFT抢跑散户，但坚持发布研究不受算法干扰。
如今，高频交易(HFT)会追踪我的每一条帖子。昨天它对市值57亿美元的$LEU也做了同样的操作。在我将$VPG与$TSLA的财报联系起来后，$VPG昨天上涨了9%。话虽如此，这看起来只是抢跑散户然后反向卖出。所以给其他人提个醒。如果像$OSS那样长期上涨，那只是信息发现。无论如何，我不会让算法阻碍我发布任何研究结果。
英文原文
HFT follow every one of my posts nowadays. It did the same for $LEU yesterday which is a $5.7B company. $VPG went up 9% yesterday after I quoted it with $TSLA earnings. That being said it looks like it’s just frontrunning retail -> selling back. So just a warning to other people. If it goes up longer term like $OSS that’s just information discovery Regardless I’m not going to let algorithms discourage me from posting any findings
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解释为何偏好对低IV大盘股使用杠杆期权。
@ShortsHoward 这次不是。我持有的是深度虚值(OTM)期权。像 $APPL 这样的大盘股隐含波动率(IV)极低，所以我偏好在这些股票上使用杠杆，小盘股则不然。
英文原文
@ShortsHoward Nope on this one I had way OTM options. Big cap like $APPL have extremely low IV so I like leverage on these, not so much for smaller companies.
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对比沃尔玛与美光基本面，建议关注价值而非择时。
我喜欢举这个例子： $WMT，这家袜子零售商的前向市盈率约为40倍，其营收同比增长约5.8%，与通胀水平一致。 $MU，这家领先的存储超级周期公司，前向市盈率约为8.4-8.7倍，营收同比增长133%，每股收益(EPS)同比增长319%。 我认为人们不应该在这里试图择时交易，只需关注基本面即可。
英文原文
I like to give this example: $WMT, the sock reseller has a forward P/E is ~40 and it's growing ~5.8% Y/Y in line with inflation. $MU, the leading memory supercycle company, has a forward P/E is 8.4-8.7 ish, off 133% revenue growth Y/Y, and EPS growth 319% Y/Y. I don't think people should be timing the market here, just look at fundamentals.
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以英特尔为例，强调基本面未变时应耐心持有，时间是最大资产。
$INTC 暴跌 17%，收盘回到 $45。 短期期权下跌 95%+，LEAPS（长期期权）下跌 40%+。 英特尔是“股票不会直线上涨”（除非是 $SNDK）的完美例证。而且它在过去 1 个月内仍上涨了 26%。 如果基本面逻辑未变（做多白宫政策/国家安全），最好等待其兑现。 对于 $AXTI 几个月内磷化铟(InP) 瓶颈潜力或 $VPG 一年后 Optimus 量产潜力的其他股票也是如此。 时间是最宝贵的资产。
英文原文
$INTC crashes 17% and finishes the day back at $45. Short dated options are down 95%+ with leaps down 40%+. Intel is the perfect example of “Stocks don’t move in a straight line up” (unless it’s $SNDK). And it’s still up 26% in 1M. If the fundamental thesis hasn’t changed (Long White House policy/National Security), it’s probably best to wait for it to play out. Same goes for any other stock from $AXTI InP bottleneck potential in a few months or $VPG potential Optimus ramp in a year. Time is the most valuable asset.
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博主主张公开免费分享研究，旨在减少散户与机构间的信息不对称。
没问题！我只是喜欢公开分享我的投资论点，而不是通过 Substack 等付费订阅来收费（当然，我并不反对那些这样做的人）。 股市是正和博弈，如果信息方向正确，每个人都能受益。 市场（以及很可能包括机构）最终会发现这类瓶颈或供应链公司。我个人喜欢公开免费地分享我找到的任何超额收益(alpha)或研究成果，以减少散户与机构之间的信息不对称。
英文原文
No problem! I just like to share my thesis publicly rather than charging for it behind substacks (no issue for people that do though). Stocks are positive sum where everyone benefits if information is directionally correct. Markets (and likely institutions) would discover these types of bottlenecks or supply chain companies eventually. I just personally like distributing any alpha or research I find publicly and free to reduce the information asymmetry between retail and institutions.
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利用非理性恐慌逢低买入，博弈政策缓和后的市场反弹。
这类抛售既出于风险管理，也源于非理性恐惧，例如 $OSS 下跌 -6.1%，$SKYT 下跌 -6.3%，因此“TACO”交易策略提供了绝佳机会。尤其是像 $LITE 这样基本面健康的公司，在周五下跌 6% 后，隔夜又再跌 3.78%。我将进行逢低买入 -> 特朗普缓和局势（市场开始复苏）-> 达成贸易协议，市场创历史新高。当然，这可能只需一天，也可能需要 4-5 天，谁也不知道。
英文原文
These types of selloffs are both risk-management and stems from irrational fear, eg. $OSS down -6.1% $SKYT down -6.3%, so the TACO trade presents great opportunities. Esp. when healthy companies like $LITE drop another 3.78% overnight after a 6% drop on friday. I'm going dip hunting -> Trump de-escalates (markets start to recovery) -> Trade deal made, markets ATH. Of course this might be one day or 4-5 days, who knows.
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通过信息发现寻找供应链瓶颈，多数标的因基本面差而落空。
@Ren_aramb 同意，这基本上就是一场淘金热。但我们是通过信息发现来寻找未来的瓶颈环节。找到正确的那个就等于发现了黄金（也许 $LPKFF 是那个知道的人）。我假设大多数人最终会空手而归，因为他们的很多基本面都很糟糕。
英文原文
@Ren_aramb Agreed, this is basically the gold rush. But instead we’re hunting for future bottlenecks with information discovery. Finding the right one would be discovering gold (maybe $LPKFF is the one who knows). I’d assume most end up empty since a lot of their fundamentals are bad.
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指出LLM在金融领域易自信出错，专家需警惕。
@pennycheck 是的，大型语言模型(LLMs)在处理财务信息和关系影响方面表现糟糕。我大量使用它们，但当你精通某个领域时，你会开始意识到它们（尤其是 ChatGPT）自信地给出错误答案的频率有多高。 https://t.co/X9w6WxYXP3
英文原文
@pennycheck Yeah LLMs are horrible with financial information and relational impacts. I heavily use them but you start to realize how often they’re confidently wrong (especially ChatGPT) when you’re knowledgeable in a field. https://t.co/X9w6WxYXP3
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作者表示暂无现成瓶颈ETF，愿提供可复制的清单。
@jaded4595325692 我不认为有这样的 ETF，因为其中一半都是非常非常小众的小盘股。不过我很乐意撰写一份瓶颈 ETF 清单，供人们参考复制。
英文原文
@jaded4595325692 i don't think there are any ETFs like this since half of these are very very niche small cap. I'd be happy to write up a bottleneck ETF though that ppl can copy.
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小市值标的具超额收益潜力，大市值预期已充分定价。
@D4RW1NEXE 谢谢！是的，这些属于更低调的标的，因为它们的市值极小。但等到像 $MP 那样达到 100 亿美元以上时，预期可能已经反映在价格中了。我相信我忽略的许多公司中仍有很多超额收益(alpha)机会。
英文原文
@D4RW1NEXE Appreciate it! Yeah these are the more under-the-radar ones since the marketcaps are extremely small. But by the time it hits $10B+ like $MP it's probably already priced in. I'm sure there's a lot of alpha with many of these companies that I overlooked.
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机构算法交易二阶效应，博主致力于让供应链影响对散户更易理解。
谢谢，很多人看到了新闻，但大多数人并没有真正看到市场的一阶、二阶效应，或者无法得出可操作的见解。通常，这完全是全新的信息发现，比如关于 $AXTI 和磷化铟(InP)瓶颈，或者 $OSS 及其在美国对委内瑞拉突袭中的使用。但机构算法是基于这种映射进行交易的，我只是让供应链/关系影响对散户来说更易消化。
英文原文
Thanks, a lot of people see the news but majority don’t really see second-third order effects on markets or can come to actionable insights. Often times it’s completely novel information discovery like with $AXTI and InP bottlenecks or $OSS and their usage in the US raid in Venezulea But institutional algorithms trade off this mapping and I’m just making supply chains/relational impacts digestible for retail.
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预测市场流动性低需审慎，不确定性风险及连锁反应仍存。
@CosmicSenate 这是一个很好的观点，我本应注明关于低流动性的问题。对于预测市场(Prediction Markets)的潜在结果，始终应持高度怀疑态度。无论如何，这带来了不确定性风险悬顶，且二阶/三阶连锁反应依然成立。
英文原文
@CosmicSenate This is a great point I should have noted regarding low liquidity. Prediction markets should always be taken with a large grain of salt regarding potential outcomes. Regardless, this presents an uncertainty risk overhang, and second/third order ripple effects still stand.
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博主解释通过供应链研究提供新信息，并承认因仓促分析而发布更正。
感谢大家。我致力于通过供应链映射和推理，尽可能多地产出新颖的信息。这样散户就能凭借掌握他人尚未知晓的信息，在机构之前更早地布局不同的股票或板块。但这次我仓促进行了分析，导致论点出错，因此不得不发布更正。
英文原文
Appreciate it. I try to produce as much novel information as possible by doing supply chain mapping and inference. This way retail can be earlier to institutions on different stocks/segments by knowing something others don't yet. But I rushed the analysis on this one and messed up the thesis, so had to write a correction.
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强调在事件发生前发布论点，避免追高。
一般来说，如果你还在等波士顿动力Atlas机器人实现规模化量产，那你可能已经有点晚了。我喜欢在事件发生前就发布我的投资论点，就像之前对$AXTI或这次的$SSYS那样，这与那些只在行情波动后反应或在高位入场的人不同。
英文原文
In general, if you're waiting for Boston Dynamics Atlas to be at scale already, you're probably a little late. I like to post my thesis at the start before any moment happens like with $AXTI or in this case $SSYS, which is different than others who just react to movements or enter near the top.
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博主分享公开分析过程的理念，认为股市长期是正和博弈。
谢谢！我尝试在分析股票时发布自己的 TLDR（太长不看）思考过程和分析，以便大家能学习并自行操作。我不相信信息壁垒，因为除非做期权，否则股票并非零和博弈。长期来看，这是一个正和博弈，如果投资逻辑方向正确，每个人都能受益。
英文原文
Thanks! I try to post my own TLDR thought process and analysis when I look at a stock so people can learn and do the same themselves. I don’t believe in gatekeeping info since stocks aren’t a zero sum game unless you do options. It’s a positive sum game long term where everyone benefits if the thesis is directionally right.
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分享利用期权杠杆捕捉大盘股波动以获取非对称收益的策略。
好问题！中小盘领域并不总是存在极高Alpha/高确信度/非对称性的机会。 但如果我看到机会，即使是像 $META 这样的大盘股，我也会抓住。上次我这样做是在 $GOOGL 145美元时。 你也可以通过保证金/期权将低风险转化为高风险。 因此，如果正确判断雪佛龙 $CVX 2%的波动，由于期权未充分定价波动，回报可能达到30%。 在这种情况下，如果 Meta 下跌20-30%并通过期权反弹，那将是百分之几百的收益。
英文原文
Great question! There's not always an extremely high alpha/high-conviction/asymmetric opportunity out there in the small-medium cap world. But if I see an opportunity, even with big caps like $META, I'll take it. Last time I did was with $GOOGL at $145. You can also turn lower risk into higher risk with margin/options. So getting a 2% Chevron $CVX movement correctly might be 30% return since options don't price in much movement. In this case with Meta, if it sells off over 20-30%, and it rebounds with options, that would be a few hundred percent gain.
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技术分析是噪音，基本面和趋势买入压力更重要。
@LawnChairCap @DanCote303 技术分析(TA)只是自我实现的预言，因为算法和人们都在关注它们。与基本面和顺风带来的买入压力相比，它们只是噪音，完全无关紧要。
英文原文
@LawnChairCap @DanCote303 TAs are just self fulfilling prophecies because algorithms and people look at them. They’re just noise and don’t matter at all compared to fundamentals and buying pressure from tailwinds.
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强调基本面优于图表分析，以OSS为例。
@DanCote303 总体而言，关注基本面比看图表更重要，$OSS 就是完美的例子。
英文原文
@DanCote303 Just in general, it’s more important to look at fundamentals than the chart, $OSS is the perfect example why. Stocks make ATHs every day.