📈 Treasury bond volatility is suddenly picking up, while equity-market volatility remains relatively subdued. The divergence matters because bonds sit at the center of financing costs, liquidity and rate expectations across the broader market. 👀 When Treasury volatility rises sharply without an immediate reaction from stocks, the gap can eventually close through a move in equity volatility. That does not guarantee a selloff, but it does suggest that the current calm in equities may be less stable than it appears. 🏦 For $S&P 500(.SPX)$ , the key issue is whether rising rate uncertainty begins to pressure large-cap valuations. $Invesco QQQ(QQQ)$ could be more sensitive given its concentration in growth a

$S&P 500(.SPX)$ is sitting near a record high. But underneath the surface, the market looks very different. Only about 48% of S&P 500 stocks are currently above their 200-day moving averages, meaning roughly 52% are below. The index was just 0.44% from its record close on Tuesday. The last time the S&P 500 was this close to a record while a similar share of its components traded below the 200DMA was March 2000, according to Dow Jones Market Data. That doesn’t tell us what happens next. It does tell us that index strength is being carried by a relatively narrow group of stocks. The headline index can look healthy while the average stock underneath it tells a very different story. That divergence is worth watching. Markets are always mov

The Fed starts hiking. Valuation multiples usually compress. That part is pretty consistent. Looking at the last 5 hiking cycles, P/E contracted every single time. 📉 But here’s the part that matters: P/E compression alone didn’t necessarily mean stocks went down. The median $S&P 500(.SPX)$ 12-month return after the first Fed hike was still +6.8%. So what actually determines what happens next? Earnings. 👇 If earnings keep growing fast enough to offset multiple compression, the market can still move higher. If earnings weaken at the same time valuations are contracting, that’s when the setup becomes much tougher. That’s the piece I’d be watching across: $S&P 500(.SPX)$

Not every Fed hiking cycle plays out the same way. History points to two things that matter a lot for equities: 🌡️ Higher inflation when the Fed starts hiking has generally been associated with weaker stock market performance. ⚡ Faster tightening has also tended to create more pressure on equities. That distinction matters for $S&P 500(.SPX)$ $Invesco QQQ(QQQ)$ $iShares Russell 2000 ETF(IWM)$ A slow, measured hiking cycle is one thing. A Fed that has to respond to already-high inflation with aggressive rate increases is a very different setup. The headline may simply be “Fed is hiking.” The market reaction depends heavily on how hot inflation is and how quickly

🔥 The most important number from tonight’s $NVIDIA(NVDA)$ earnings call wasn’t revenue. It was CapEx. CFO Colette Kress said top-five hyperscaler CapEx could hit nearly $800B in 2026 and $1.3T in 2027. That’s the key takeaway. The market had been looking for $1.3T in 2028. Nvidia just pulled that level forward to 2027. In other words, the AI infrastructure spending cycle isn’t slowing down. It’s accelerating. And that has a much broader read-through: 🔹 $Philadelphia Semiconductor Index(SOX)$ — the semiconductor complex 🔹 $Micron Technology(MU)$ — memory and HBM 🔹 $Lumentum(LITE)$ — optical connectivity 🔹

It’s not just about AI hype. Liquidity remains a major driver of the market. The $S&P 500(.SPX)$ has been closely tracking Global M2 with an approximately 11-week lag, and that relationship is currently pointing toward a potential 8,200 level for the index. At the same time, the AI infrastructure boom is starting to show up in corporate earnings. Massive spending on data centers, chips, power, networking and related infrastructure is creating a broad earnings tailwind across the market. The combination of expanding liquidity and accelerating AI-driven earnings could provide the S&P 500 with another leg higher.

$Goldman Sachs(GS)$ just dropped a map of the entire AI optics supply chain. Goldman just mapped the AI optics supply chain from chips to testing. The list covers the major publicly traded players across nearly every layer of the ecosystem. Chip / xPU Design:$NVIDIA(NVDA)$ $Marvell Technology(MRVL)$ $Broadcom(AVGO)$ $Intel(INTC)$ $Advanced Micro Devices(AMD)$ $Cisco(CSCO)$ MediaTek Photonic & Electronic ICs:$Lumentum(LITE)$

We are seeing what a crowded trade unwind looks like. Semi ETF inflows went parabolic this year with $46B coming in <7 months YTD. This is more than the previous 9 years COMBINED. Now, it’s unwinding. $iShares Semiconductor ETF(SOXX)$ $VanEck Semiconductor ETF(SMH)$ $Roundhill Memory ETF(DRAM)$ $Philadelphia Semiconductor Index(SOX)$ “Trump has to do something soon” Trump doesn’t care about AI Bubble stocks getting torched. The SPX is down ~2.4%. CTAs haven’t even started selling yet. If the $S&P 500(.SPX)$ starts to roll over, this will become another big headwind for stoc

$Philadelphia Semiconductor Index(SOX)$ hit ~80% above its 200 day MA in early June. A number surpassed only once in history. At the peak of the Dot Com Bubble in early 2000. On that note, SOX has moved +/- 3% in 15 of the last 30 trading days. Last happened in 2000. "Short term volatility is greatest at turning points and diminishes as a trend becomes established." - George Soros

BlackRock just ranked the 30 most important AI companies in the world. 👀 Surprisingly, $Micron Technology(MU)$ takes the #1 spot, ahead of $NVIDIA(NVDA)$ . Here's the full ranking: 🥇 Top 10 $Micron Technology(MU)$ $Advanced Micro Devices(AMD)$ $Taiwan Semiconductor Manufacturing(TSM)$ $NVIDIA(NVDA)$ $Marvell Technology(MRVL)$ $Broadcom(AVGO)$ $CoreWeave, Inc.(CRWV)$ $Oracle(ORC

Goldman $Goldman Sachs(GS)$ just dropped a map of the entire humanoid robot supply chain. Here are the publicly traded tickers they named 👇 Humanoid Robot Makers $Tesla Motors(TSLA)$ $XPeng Inc.(XPEV)$ $BYD Co., Ltd.(BYDDY)$ $Xiaomi Corp.(XIACY)$ $UBTECH ROBOTICS CORP LTD(UBTRF)$ $GAC HOLDCO INC.(GACWF)$ $ESTUN(02715)$ $TSLA Foundation Models $NVIDIA(NVDA)$ $Alphabet(