To The Moon

Broadcom could be one of the most overlooked winners of the AI infrastructure boom. Unlike Nvidia, Broadcom is not betting solely on general-purpose GPUs. Its custom AI accelerators, networking chips and optical connectivity give hyperscalers the tools to build AI systems tailored to their own workloads. The biggest attraction is its customer base. Google, Meta and OpenAI are all expanding partnerships with Broadcom, potentially creating a powerful multi-year demand pipeline. Broadcom also benefits from VMware, giving the company a second high-margin growth engine beyond semiconductors. The biggest risks are stretched expectations, customer concentration and hyperscaler capex eventually slowing. Still, if custom AI chips become increasingly important, Broadcom could be one of the stronges

A. Yes — still bullish on DBS / OCBC / UOB I’d choose A. To me, DBS hiring more young talent is more than a recruitment story—it shows the bank is preparing for where future growth will come from. Lower interest rates may pressure net interest margins, but wealth management, AI, data, technology and fee-based businesses can increasingly offset that pressure. DBS’s strong wealth-fee growth and rising AUM are already evidence of this transition. Singapore also continues to strengthen its position as a regional wealth and financial hub, attracting capital, global institutions and high-value talent. That doesn’t mean DBS is cheap or risk-free. Valuation still matters, especially after a strong run. But for long-term investors, I remain bullish on Singapore banks, particularly DBS, OCBC and UO

I’m leaning toward A — normal profit-taking, with the AI hardware trend still intact. Tuesday’s semiconductor selloff looks more like a valuation reset than a fundamental breakdown. The Philadelphia Semiconductor Index fell about 5%, while memory and optical names such as SNDK, MU and CRDO were hit much harder than Nvidia. The key issue is macro: the 30-year Treasury yield recently reached its highest level since 2007, while Brent crude moved above $90. That combination naturally pressures high-multiple growth stocks. But AI infrastructure demand has not suddenly disappeared. Memory, storage, networking and GPU demand remain tied to massive data-center investment. So I wouldn’t call this an AI-cycle reversal yet. Instead, I’d watch whether SNDK and MU stabilize and reclaim key moving aver

My Pick: AMLX — But This Is a Catalyst Trade If I had to pick one for the next 30 days, I’d choose Amylyx Pharmaceuticals (AMLX) — not because it is the safest name, but because it has the clearest near-term binary catalyst. The stock has already exploded higher, so chasing momentum here is risky. But the real story is still ahead: Amylyx expects Phase 3 LUCIDITY results for avexitide in late August or early September. A positive readout could materially change the company’s valuation and potentially support a 2027 commercial launch. That makes AMLX fundamentally different from simply buying a beaten-down stock like Adobe or Intuit. My choice: 🔥 Momentum, with a catalyst-driven setup. The key is position sizing — this is biotech, so one clinical result can create either a breakout or a br

The 30-year Treasury yield at 5.31% is becoming an increasingly attractive entry point, but I wouldn’t rush to lock in long-duration bonds yet. The key issue is that this selloff isn’t purely about Fed policy. Persistent inflation risks, higher oil prices, massive fiscal deficits, weaker foreign Treasury demand and growing corporate debt supply are all pushing the long end higher. That makes this a classic “wait for confirmation” moment. If yields eventually stabilize around 5.5%–5.7%, long-duration bonds could offer compelling returns. But if inflation expectations continue rising, buying too early could mean sitting through another painful price decline. For now, I’d favor short-duration Treasuries and cash, while gradually preparing to extend duration if yields spike further. The best

My take: 1) SOXS, 2) HIBS, 3) TECS. The clustering of inverse ETFs is a warning that investors are increasingly hedging duration and high-beta exposure, not necessarily calling for a full market crash. For the next 30 days, I expect the 10-year yield to stay around 4.7%, with 5% possible if inflation and Treasury supply worsen. The 30-year has already hit a 19-year high, showing how serious the bond-market pressure has become. The bigger threat to AI stocks is rising yields. AI debt issuance matters, but it is ultimately another channel through which higher financing costs can pressure valuations. Morgan Stanley expects global AI-related debt issuance to approach $570 billion this year. My view: this is a valuation reset, not necessarily the end of the AI cycle.

The Q2 13F season reveals a clear message: institutional money is not abandoning AI—it is becoming more selective. Berkshire’s 83% increase in Alphabet, taking the position to roughly $38 billion, is perhaps the strongest vote of confidence in Google’s AI ecosystem.  Meanwhile, Tepper is rotating away from memory names such as Micron while adding Amazon, Meta, Alphabet and TSMC, suggesting investors may be taking profits after the semiconductor rally. The SpaceX story is equally important. Its IPO has brought massive institutional exposure into the public market, although some reported “new” positions are simply legacy private holdings becoming reportable. My takeaway: the next phase of the AI trade may shift from chips toward platforms, infrastructure, power and space. But 13Fs are

I’d pick Ivan_Gan’s view as the most actionable. Bitcoin and gold offer clear technical levels, but macro policy is still the bigger driver across asset classes. If Fed hike expectations continue to fade, liquidity-sensitive assets like QQQ and SPY could remain supported even if markets stay range-bound. That said, gold’s breakout deserves attention. A short squeeze may explain the speed of the move, but sustained strength would suggest deeper institutional demand rather than just positioning. For Bitcoin, $67K is the key confirmation level, while $57.8K remains the line bulls cannot afford to lose. Personally, I’d rather wait for the breakout than chase the middle of the range. @WallStreet_Tiger [你懂的]

U.S. stocks remain in a strong but increasingly selective bull market. The S&P 500 broke above 7,800, marking its third straight weekly gain, but sector rotation is accelerating as investors move beyond mega-cap tech into energy and industrials. The biggest warning sign is the consumer. July retail sales fell 0.6%, while sentiment weakened, raising concerns about economic momentum. At the same time, higher oil prices and geopolitical tensions could revive inflation risks. The key event this week is Powell’s Jackson Hole speech. A dovish tone could reignite the AI rally, while a hawkish message could trigger profit-taking. My view: the bull market isn’t over—it’s broadening. The next winners may come from sectors beyond technology. @W

If I had to choose one part of the AI infrastructure stack for the next six months, I’d pick memory and storage. The market often treats AI as a GPU story, but that misses what happens behind the scenes. Every new AI cluster requires huge amounts of HBM, DRAM and enterprise SSDs, while increasingly data-intensive models are creating even more storage demand. That’s why $SNDK and $MU stand out to me. Their upside is not simply tied to AI enthusiasm, but to a real hardware bottleneck: memory capacity and pricing. If hyperscalers continue spending aggressively on AI infrastructure, memory could remain one of the biggest beneficiaries. The key risk is obvious: if AI CapEx slows or new supply arrives too quickly, pricing and margins could reverse. But for the next six months, I’d rather own th