来字节后，从产品岗转到了产运岗，感觉自己的沟通表达能力和记忆力直线下降，非常健忘，说话吧脑子里想的比嘴巴说的还要快，讲话语无伦次的，当然岗位的变动也是有原因的，现在就是纯消耗的工作内容，太嘚了，钱说服不了我干 sb 活。今天问了下 claude聊了下，下面是他的诊断： 这在科学上叫什么？ 你的情况在科学文献中对应的不是 ADHD，而是以下几个概念的交汇： 1. 职业倦怠导致的认知损伤（Burnout-Related Cognitive Impairment） 系统综述和元分析表明，职业倦怠（burnout）会导致多个认知领域的损伤，尤其是执行功能（规划、任务切换、协调能力）和工作记忆1。芬兰坦佩雷大学的临床神经学家 Kaisa Hartikainen 指出，倦怠者需要付出更多努力才能达到正常认知表现，且难以记住日常任务的细节2。 好消息是：研究发现执行功能在急性倦怠期间受损，但可以恢复到健康对照水平。 2. 认知废用性退化（Cognitive Disuse / "Use-It-or-Lose-It"） 这是神经科学中一个经典理论 ——** 认知储备假说（Cognitive Reserve Hypothesis）** 的反面。哥伦比亚大学神经心理学家 Yaakov Stern 的研究表明，更活跃的工作和休闲活动能建立更多 "认知储备"；反之，认知刺激不足会加速功能退化4。你从高认知密度的产品经理转向低刺激的运营岗，就是典型的 "废用" 场景。 3. 脑雾（Brain Fog） 这不是一个正式医学诊断，但被广泛用来描述你这种 "脑子想的和嘴说的对不上、记忆模糊、注意力涣散" 的体验。Cleveland Clinic 将其定义为一组影响思维、记忆和注意力的症状群，常见诱因包括慢性压力、睡眠不足和职业倦怠。

坚定持有 $TMC 一众政策股里和川普关系最好的ceo 一众资源股里政策属性最强的股

Portfolio Update: 1. $VPG ($45) -> Super PEG‼️ 2. $PENG ($32.5) -> Averaged up again! 3. $FCEL ($9.15) -> Options flow is still wild 4. $NBIS ($111.5) -> Trimmed some $229 5. $HIMX ($15.4) 6. $BWEN ($2.98) -> Still holding full, loving this inside day action 7. $FLNC ($16.7) 8. $CLFD ($42.5) 9. $SHMD ($6.6) Focus List: $VECO $POWI $KLIC $OUST $CEVA $NVTS $VICR $SYNA $INDI $HLIT $CRCL $TSEM $AEVA $ENPH $SEDG $IPWR I don't have much to do besides let positions work. Really like these names in my focus list but what can you do. Very pleased with my names and positioning over the last month or two.

Serenity (@aleabitoreddit) is officially starting to cover the robotics theme, particularly humanoids. We all understand the eyes and momentum this person brings to the companies they cover. I've been covering the Robotics theme over the past few weeks, accelerating my work on it over the past few days. My favorite names in this sector are $TSLA $QCOM $SYNA $SYM $MBLY $AMBA $VPG $OUST $MP I currently own exposure to $QCOM $MBLY $OUST $MP. I am interested in $SYNA and will be sharing a dive on it later today.

Wall Street haven’t figured $PENG role out yet.. when they do, it will explode. Here’s everything you need to know and why $NVDA $AAOI $MU $SNDK will need to rely on them, at one point: $PENG provides the *end-to-end architecture* required to make components work as a unified system. They design, build, and manage "AI Factories" such as massive data centers optimized for AI training. Their portfolio covers: > Computing > Memory > Managed Services They solve the "Memory Wall" (the bottleneck between the processor and data) by owning memory technology and system integration expertise. And acts as the integrator layer, the "glue" that assembles raw components into a functioning supercomputer. Penguin’s uniqueness lies at the intersection of Memory and HPC (High-Performance Computing). Most integrators focus only on the compute (GPUs), but Penguin understands that the "Memory Wall" (the speed gap between the processor and the data storage) is the BIGGEST bottleneck in AI. They are one of the few players that own the memory technology (through their SMART Modular brand) and the system-level integration expertise. To give you an understanding of their position: Tier 1: Component Providers (The Raw Materials) $NVDA provides the Blackwell GPUs that serve as the engines of the factory. $MU provides High-Bandwidth Memory (HBM), while $MRAM provides persistent memory for reliability. $SNDK provides high-speed SSDs, and $P provides the all-flash arrays required to feed massive datasets to GPUs without lag. $AAOI provides the "nervous system" through 800G and 1.6T optical transceivers that move data between GPUs. $POET and $SIVE provide photonics to replace copper wires with light-speed links. $LPK provides precision manufacturing for the circuit boards these components inhabit. Tier 2: The Architect & Integrator (The Brain) This is the center. Penguin takes the chips $NVDA, memory $MU, storage $P, and networking $AAOI and "weaves" them together. They perform the "racking, stacking, and testing". Tier 3: Infrastructure Operators $NBIS & $IREN. These are the customers. They build the physical power, shells, and the AI cloud. They rely on Penguin for the technical deployment and managed services to keep fleets running 24/7. If the AI revolution is a gold mine, $NVDA and $MU are the pickaxes, $P and $AAOI are the conveyors and bins, $IREN and $NBIS are the ‘owners’, and $PENG Solutions is the engineering firm that builds and manages the entire operation. -BP NOT FINANCIAL ADVICE.

到100个赞了 板块是——储能/太阳能

到最后不过是四种情况，看利率和通胀谁跑过谁。 第一种情况是问题解决，各回各家各找各妈。 第二种情况既我们当下经历的第一阶段。油价高涨，市场降低降息预期，债市收益率上升。这个阶段通胀还没有实际发生，因为通胀是滞后反应，需要几个月时间发酵。同时债市收益率上升会收紧金融条件，反向压低通胀。那么高利率持续压低需求，跌。通胀增速低于利率上涨速度，直到利率因为弱经济表现涨不动，达到平衡。 第三种情况是油价再上一层，通胀经过时间后跑赢利率，真实利率下跌。价格压制，震荡。黄金开始修复。 第四种极端情况是原油涨到信用面坏掉。 我看有人复盘七十年代两次石油危机，油价翻倍，五年修复期。当下的优点是美国自己产油且需求没有那么集中。缺点是全球金融资产高度联系。 政府的影响因素会体现在当市场情况不好的时候小额增加流动性以防崩盘，几乎一定会走这一步。如果不够则降息或者QE，当然这一步会走的很矛盾。再不行就是财政兜底。央行的本质是将信用问题转化为流动性问题，最后把流动性问题转移到其他地方。而长期油价高位引发再融资困难。高油价 高利率 信用收缩不可同时发生。 每多走一步都会积累副作用。转移到通胀则购买力下降，转移到汇率则货币贬值，转移到资产价格则泡沫。真正的通胀只有在政策开始放松但供给问题还没解决时才会出现。 如果认为战争不可能解决，那就是看走2还是3。

里面鲜有真知灼见，鲜有独立思考，神棍不少

为什么昨天选择做多呢 继续来讲期权小知识， 需要知道一个概念VRP = Volatility Risk Premium（波动率风险溢价） 公式：VRP = IV - HV（隐含波动率 - 历史已实现波动率） 含义：期权市场定价的"预期波动"比实际发生的波动高出多少。 QQQ的数据：ATM IV 25.88% - HV 16.54% = VRP 7.39% 买期权的人本质上在买保险，保险总是比实际风险贵——这个"贵出来的部分"就是VRP。正常情况下VRP在 2%到 4%之间。 7.39%说明市场为下行保护支付的溢价远高于正常水平，恐慌情绪推高了期权价格，而且到了比较极端的区间。 HV 16.54%——这是QQQ过去实际发生的波动，年化16.54%，换算成日均波动大约±1.04%。其实不算特别剧烈。 IV 25.88%——但期权市场定价的是年化25.88%的波动，日均±1.63%。市场在为一个比现实更剧烈的波动买单。 谁赚这个钱：卖期权的人（做市商、vol sellers）。VRP越高，卖vol越有利可图。 然而物极必反，太过于极端的定价往往要走向均值回归，结合月度OPEX即将到来，做市商更有可能让大量的put买家亏钱。

I used to pick perfect chart patterns in dying sectors and wonder why they never moved, until I learned to follow the money first. I used to pick stocks in a vacuum. I'd find a beautiful chart pattern, enter with confidence, and watch it go nowhere while stocks in another sector ripped 20%. That changed when I started treating sector rotation as my primary filter. Here's a simple process you can follow: Every Sunday, I review the eleven sector ETFs. $XLK, $XLF, $XLE, $XLV, $XLY, $XLP, $XLI, $XLC, $XLRE, $XLB, and $XLU. I'm looking at their weekly charts to see which sectors are absorbing capital and which are bleeding it. I rank them by relative strength against $SPY and $QQQ over the past 4 and 12 weeks. The top three get my attention. The bottom three get blacklisted. I don't care how pretty an individual stock looks if its sector is getting sold. Then I drill down to individual stocks within the leading sectors. This is where stage analysis becomes a piece to the puzzle. I'm hunting for stocks/sectors that have built large, multi month/year stage 1 bases... those long, choppy consolidations where a stock goes sideways after a prior move. The longer the base, the bigger the potential move when it breaks out. I want to see multiple weeks built out on the weekly chart... but a great weekly base isn't enough. I rotate down to the daily timeframe to assess if the risk/reward is actually there. Is the stock coiling tight? Are the daily candles contracting in range? Is it riding along a rising 9/21 or 50EMA? I'm looking for asymmetric setups where I can risk little to make 5-10x my risk. If the daily is too loose or choppy, I pass, even if the weekly looks perfect. I also watch for the rotation warning signs. When a leading sector starts making lower highs, or when its top holdings begin breaking support levels, I tighten stops and reduce exposure, because sector leadership doesn't last forever. For example, within the recent months Technology led, then money rotated into financials and industrials. The edge is to simply trade with the current, not against it. When a sector has institutional money pouring in, individual stocks within it get lifted. Your mediocre setup in a hot sector will outperform a perfect setup in a weak one. With this method, I'm no longer fighting the market's underlying currents. I'm identifying where capital is flowing, finding stocks with big bases within those leading sectors, and waiting for the daily chart to tighten up before entry. Keepin' it simple and repeatable!

“社会规律"也会自我摧毁，即使你找到了真实的社会运作规律，一旦足够多的人发现它，足够多的资金利用它，它就会消失。 这就是市场的反身性（索罗斯的概念）：观察者会改变被观察的系统。 物理学可以发现永恒规律，因为电子不会因为你观察它而改变行为。 但市场参与者会学习、会适应、会对冲你的策略。 没有策略能"持续很久很久"。只有持续进化的交易者。

首先我是AI死多头，唱空永远不存在的 但是短期（1-2周）要Buckle up 1. 市场正意识到越来越多“行业”正被OAI anthropic屠杀 2. 就业并不好 3. 股票市场MM非常谨慎，Bid offer变宽 4. Dealer neg gamma 5. CTA重仓位卖出概率大于买入 二月卖出会由CTA和neg gamma加剧，在更小order book产生更大影响