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$BOA 现在是什么情况？

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下面是最近 3 条提及 $BOA 的公开帖，按时间倒序。每条都附原帖链接，可自行核对。

• 2026-05-08看空原文
  What did I say? $SIVE was undergoing a transfer of Swedish ownership over to the US... If I'm interpreting things right from the new cap table. The US / West now owns 42.18% of $SIVE: ~ $FNF (Fidelity) - 11.5% (US/West) ~ $SCHW (Schwab) - 11.4% (US/West) ~ $IBKR - 9.25% (US/International) ~ Pershing (BNY Melon) - 4.15% (US/West) ~ Morgan Stanley - 3.12% ~Merrill Lynch ( $BOA ) - 2.76% Europe: ~7.73%: Clearstream Banking - 6.16% (European) UBS Switzerland AG - 1.57% (Swedish/EU) While Swedish now hold ~7.49% of $SIVE: Försäkringsaktiebolaget Avanza Pension - 4.76% Nordnet Pensionsförsäkring AB - 2.73 Before, Sivers was a ~60% European/Swedish retail owned company... They went from that, down closer to 0 as they keep selling their shares. US has close to majority control, right before the CPO supercycle of 2027. Transfer seems almost complete?
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• 2026-02-01中性原文
  Kevin Warsh is the next Federal Reserve Chair. Markets may confuse him as a "Hawk". His actual stance in 2026 is nuanced. Here's his policies and how they affect the markets: 1. AI/Semis ( $NVDA, $MU): Extremely Bullish 2. Metals (Silver, Gold): Extreme Bearish 3. Crypto ( $BTC, $CRCL ): Paradoxically bullish 4. Banking & Financials ( $JPM, $BOA ): Bullish 5. Housing & Real Estate: Mixed/Uncertain 6. Renewable Energy: Bearish 7. Small-Caps ( $RUT ) : Bullish 8. Foreign Stocks (Japan, Korea): Resilient - Emerging Markets (EM): Extremely Bearish - China & Hong Kong: Bearish - Europe ( $VGK, $EZU): Cautious 1. AI/Semis ( Nvidia to Micron ): Extremely Bullish Warsh is an AI Bull. In late 2025, he argued that AI is a powerful dis-inflationary force. He believes AI-driven productivity gains will allow the economy to grow rapidly without triggering inflation. This "productivity boom" gives him the intellectual "cover" to support rate cuts even if the economy remains strong. (The Federal Reserve’s Broken Leadership, November 16, 2025 WSJ) This is much different than his earlier stances where markets expected him to be a rigid inflation hawk (someone who wants higher rates). He is advocating for cuts and wants to accelerate AI development. 2. Metals (Silver, Gold): Extreme Bearish Investors use gold as a hedge against a weak dollar and "money printing." Because Warsh wants to shrink the balance sheet and turn off the "printing press," the primary reason for holding gold is diminishing. A stronger U.S. Dollar is making metals more expensive for international buyers. That being said the 33% intraday silver drop was mainly from other factors such as cascading liqudation from margin changes, though the new Fed chair likely played a minor role. 3. Crypto ( $BTC, $CRCL ): Paradoxically bullish He famously stated, "If you're under 40, Bitcoin is your new gold." He views Bitcoin as a legitimate store of value and a generational shift away from physical metals. He views the blockchain as "the newest and coolest software" and believes the U.S. must lead in this space to remain economically competitive against global rivals. However; The "Paradox": Why Prices are Dropping: The market is realizing that while Warsh wants lower interest rates, he also wants a smaller Fed balance sheet. Investors are terrified that we are entering an era of "Rate Cuts without QE." You might get cheaper loans, but you won't get the massive "wall of money" that usually sends $BTC to all-time highs. So we have a guy bullish on the technology of crypto, but his monetary discipline might hurt short-term liquidity. 4. Banking & Financials: Bullish Warsh is a favorite of the banking sector due to his experience at Morgan Stanley and his vocal criticism of "mission creep." He is expected to roll back complex bank capital requirements (like Basel III). Analysts see this as a major win for regional and small-cap banks, as it frees up capital for lending. 5. Housing & Real Estate: Mixed He wants to cut the Federal Funds Rate aggressively. This would immediately lower the cost of Adjustable-Rate Mortgages (ARMs) and construction loans. However, the bear case is that Warsh is a fierce opponent of the Fed owning $2 trillion in Mortgage-Backed Securities (MBS). Many economists warn this could push the 30-year fixed mortgage rate higher (potentially toward 7% or 8%) even as the Fed is cutting other interest rates. 6. Renewable Energy: Bearish He intends to withdraw the Fed from global climate groups (like the Network for Greening the Financial System) and end "climate stress tests" for banks. Under Jerome Powell, the Fed encouraged banks to consider climate risks in their lending. Warsh wants to end this, which effectively removes the "regulatory nudge" that made it easier for green projects to get favorable loan terms from major banks. 7. Small-Caps Warsh has explicitly stated that he wants the Federal Reserve to focus on the "true drivers of the economy", small businesses and entrepreneurs, rather than just the "pampered princes" of Wall Street. Warsh is expected to lead a significant rollback of complex banking capital requirements. This is strongly bullish for small caps. He intends to broaden access to capital for small firms by reducing the regulatory burden on the small and regional banks that do the majority of small-business lending. 8. Foreign Stocks Warsh is expected to createa a divide between countries that benefit from a strong U.S. economy and those that are vulnerable to a stronger U.S. Dollar and tighter global liquidity. Japan/Korea (Samsung, SK Hynix, etc): Japan and Korea are "fine" because they own the physical bottlenecks of the AI and robotics trades that Kevin Warsh believes will save the U.S. economy. Usually, a strong USD is bad for foreign stocks, but for Japan and Korea, it’s a competitive weapon: - Export Boost: Since most of their AI and robotics contracts are priced in USD, a stronger dollar means their revenue (when converted back to Yen, etc.) is massively inflated. - Cheaper for the U.S.: Warsh’s "Strong Dollar" policy makes Japanese robots and Korean chips cheaper for American companies to buy. This accelerates the "Productivity Boom" Warsh wants while padding the profits of these foreign tech giants. China: A stronger dollar puts pressure on the Yuan, making it harder for the PBoC (China's central bank) to cut their own rates to stimulate their struggling economy. Emerging Markets: A stronger U.S. Dollar makes it much more expensive for emerging countries to service their dollar-denominated debt. Europe: Dollar recovery could push the Euro lower, which helps European exports but increases their energy import costs. _ On Friday, markets sold off sharply on Silver/Gold crashing, and hedging pulled liquidity out of the system. Markets might confuse Warsh as a historical hawk. However, recent statements show he's near term dovish and supports lower rates, accelerated by AI. Markets are currently pricing in the possibility of simultaneous rate cuts and balance sheet reductions but generally, many trades from AI to small cap growth are expected to continue.
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• 2026-01-01中性原文
  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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