To The Moon

B: SNOW. It is the breakout I would most want to own after a pullback because the rally has fundamental support, not just momentum. Strong earnings, accelerating product revenue and growing AI adoption give SNOW a clearer path for earnings to catch up with expectations. BE would be my second choice, but after the breakout and S&P 500 catalyst, I would wait for the excitement to cool before entering. I would be cautious with HOOD/COIN/MSTR because much of their near-term upside depends on Bitcoin holding above $80k. MSTR adds another layer of leverage on top of that. I would avoid chasing TSLA. Cybercab is a major milestone, but the valuation already assumes enormous future scale while deployment remains tiny and regulatory risk is unresolved. My ranking: SNOW > BE > crypto baske

I would take Circle for the longer-term thesis, Coinbase for the cleaner cyclical trade, and Strategy only if I specifically wanted amplified Bitcoin exposure. Strategy gives the biggest torque when BTC rallies, but that cuts both ways. At 845,050 BTC, the thesis is increasingly Bitcoin plus financing mechanics rather than an independent operating business. Coinbase is different: it benefits from activity. If $80k brings trading volumes, institutional flows and broader crypto participation back, it does not need Bitcoin itself to double. Circle is the most interesting structurally. USDC already has scale, while the September 16 Arc launch adds another layer to the moat through institutional infrastructure. Visa, Mastercard and BlackRock involvement matters, but the 21-bank stablecoin conso

I would wait on the regulator before paying 350x for the scaling story. Cybercab carrying real passengers without a wheel or pedals is unquestionably a milestone, but 45 vehicles prove technical viability, not economics. Waymo currently has the stronger evidence: autonomous rides across 14 cities and expansion into three more markets at once. Tesla’s upside is potentially much larger if its camera-only system and owner-operated fleet can scale without Waymo’s infrastructure intensity. But that is precisely what the valuation already assumes. For me, the next Tesla KPI is not another demo or even miles driven. It is how quickly Cybercab can scale from dozens to thousands while maintaining safety and clearing NHTSA scrutiny. Until then, Waymo has the deployment lead while Tesla has the scala

I would trust the hold, but I am not ready to call peak rates yet. Waller has taken some pressure off, but he has not closed the door on another hike. Payrolls around the +56k consensus with wage growth easing to 3.0% would strengthen the case that the Fed can afford to wait. A much stronger jobs print, especially with hotter wages, could quickly revive the hawkish trade. More importantly, Waller himself has made August inflation the key test. So for now: September hold > hike, but peak rates still need confirmation from CPI. I would rather miss the first leg of a rally than price in the end of tightening too early.

I lean towards buying the pullback gradually rather than waiting for expectations to collapse. The $200m Q4 revenue miss matters because AVGO is priced for near-perfect execution, but the underlying AI story actually strengthened. AI semiconductor revenue hit $16.7bn, +221% YoY, with Q4 expected to accelerate to $21.7bn. More importantly, Broadcom now sees ~$115bn of AI semiconductor revenue in FY2027 and says demand exceeds that outlook. That makes the sell-off look more like a valuation reset than a thesis break. The warning from Credo is still important: at elevated multiples, beats are expected and margins/guidance determine the reaction. I would not chase AVGO immediately after the drop, but I also would not wait for a perfect entry. Scale in if weakness continues. The bigger question

I think weak data and sticky yields can coexist, especially when the market is worried about inflation rather than simply growth. ADP’s 38,000 gain confirms hiring is losing momentum, but the labour market still looks more “slow hire, slow fire” than recessionary. Meanwhile, services input prices have climbed to a three-year high, keeping the Fed’s inflation problem alive. That explains why the 10-year barely responded, holding around 4.8%. Friday’s payrolls are therefore crucial. Consensus is roughly +56,000 with unemployment at 4.1%. A clear downside miss plus softer wages could finally pull yields lower. But weak payrolls with sticky wage inflation may reinforce the uncomfortable regime we are already seeing: slower growth without cheaper money. For now, I would not aggressively positio

Three very different winners, but one common theme: technology is being repriced on its ability to create durable earnings. $DELL shows that AI demand is moving beyond chips into the infrastructure needed to deploy compute at scale. A huge backlog is bullish, but execution and memory supply will determine how quickly that demand becomes revenue. $PANW represents the second-order AI trade. More AI means more data, endpoints and attack surfaces, making cybersecurity increasingly essential. The catch is valuation: necessity does not automatically justify any price if growth slows. $MRNA is perhaps the most interesting. Successful oncology development could transform Moderna from a post-COVID story into a broader mRNA platform, but biotech remains binary and commercialisation still has to fol

I would wait for the print rather than front-run it. Broadcom's AI story is clearly real: Q2 AI semiconductor revenue hit $10.8bn, +143% YoY, and management guided Q3 to $16bn. But the market already knows that. The real hurdle is whether those huge orders translate into durable margins and higher FY27 guidance. The heavier AI mix itself is expected to compress gross margin towards 74%, while Broadcom explicitly warns that custom accelerators and AI systems carry lower gross margins. The Google-Marvell threat also looks more medium-term than immediate, with Marvell saying the Google deal becomes much more significant only in FY29. So my trigger is not simply "$16bn AI revenue achieved". I want $16bn+, resilient margins and, most importantly, an upgrade or stronger evidence behind the $100b

I would rotate modestly toward cash-flow certainty, not abandon growth. A 10-year yield near 4.8% is more than noise: it raises the discount rate on long-duration AI earnings and makes debt-funded capex increasingly expensive. With oil adding another inflation impulse and September hike odds now around two-thirds, richly valued tech has less room for disappointment. But payrolls are the potential circuit-breaker. A genuinely weak jobs print could pull yields back quickly and revive duration-sensitive tech. So rather than chase the bond selloff, I would favour profitable, cash-generative companies and keep some dry powder. If payrolls surprise stronger, 5% on the 10-year becomes a much more uncomfortable possibility. If they disappoint sharply, today's tech weakness could become the entry p

I see this as more of a valuation reset than the AI bubble bursting, although I would not rush to buy everything that has fallen. The key distinction is between AI demand and AI-stock valuations. AI infrastructure spending, cloud demand and data-centre investment remain substantial, but many stocks had already priced in years of exceptional growth. Once expectations become that high, even strong earnings can trigger sharp corrections. I would favour gradual accumulation of profitable AI leaders with strong cash flow and durable demand, rather than trying to catch the biggest losers simply because they are 40–50% cheaper. The biggest risks now are tighter Fed policy, compressed valuations and any evidence that AI capex is producing weaker returns than expected. My outlook: AI remains a long