To The Moon

1. $Intel(INTC)$ — Thu Jul 23, after close ⚡ (most genuine squeeze setup) TRIGGER: Q2 print Terafab/foundry roadmap, the $Alphabet(GOOG)$ chip deal, and whether Q1's margin recovery holds into H2. PRE-SQUEEZE SIGNAL: Put premiums bid up hard after a ~13% one-week drop in the semi selloff. On a beat, watch forced put-side unwind + call chase, with OI clustering at strikes just above spot. FUEL: ~128M shares short, beta 2.19, heavy retail options flow. But it's very liquid (days-to-cover <1.5), so this is a short-covering relief rally / gamma pop, not a thin-float classic squeeze. 2. $Tesla Motors(TSLA)$ — Wed Jul 22, after close TRIGGER: Q2 margins + robotaxi/C

$SPDR S&P 500 ETF Trust(SPY)$ gets rejected at $747 2nd time so far and closes below both 20SMA and 50SMA. This is extremly bearish now. Here's what will happen next: If SPY breaks below $740: 1. closes below it 2. volume starts to pour in (like a lot of selling going on) 3. VIX spikes through 20 again towards 30 4. war continues on until end of July 5. July FOMC is hawkish 6. earnings is strong but tech gets sold out. then these 3 levels will be in play: 730-731 720-722 714-717

Over the weekend, 2 US soldiers were killed in an Iranian strike. $SPDR S&P 500 ETF Trust(SPY)$ is set up for a hard bleed on Monday. Key buy areas ⬇️ Key buy areas 👇 $741.05 — first shelf + MA confluence, buyers defend here but this level is now resistance on Monday. $728.76 — old breakout + gap-fill demand pocket (50%) $723.79 — swing pivot into rising long MA (25%) $716.82 — deep accumulation base, washout-only bid (10%) Note $SPY brokedown on Friday and now trades uner 20SMA and 50SMA too and got rejected again at $748 on Friday. Seriously week chart forming now on $SPY.

AI can't run without 3 things: compute, memory, energy. One stock sits at the center of all 3: Its actually $NVIDIA(NVDA)$ and 3 reasons here: 1. Compute — it is the compute. When the world says "AI compute," it means NVIDIA. GPUs are the industry standard for training and inference, with an estimated 80–90%+ share of AI accelerators. Everyone else is building around their stack (CUDA, NVLink, the rack). 2. Memory — $NVDA is why HBM is a bottleneck. They don't fab a single DRAM die, yet every HBM stack $SK hynix(SKHY)$ $Micron Technology(MU)$ and Samsung can produce is effectively pre-sold to feed their roadmap. $NVDA doesn't supply the memory it sets the demand cu

President Trump said to buy $Intel(INTC)$ at $20. This year it hit $140+ Now it reports earnings Thursday down to ~$97. Here's the full earnings analysis: $Intel(INTC)$ — Thurs, after close Guidance: ~$13.8–14.8B rev, 39% margin, $0.20 EPS all sequential declines. Trades ~147x fwd. Street PT: $96. 31 of 48 analysts on Hold. Govt + $NVIDIA(NVDA)$ ($5B) + SoftBank ($2B) = a floor, not a launchpad. 🔴 Bearish into the print. Priced for perfection after a 278% run; Foundry losses are the swing factor. $GE Vernova Inc.(GEV)$ — Wed, before open The clean Wednesday-daytime story (no mega-cap noise til the close). AI-datacenter po

6 months from now $SPDR S&P 500 ETF Trust(SPY)$ will hit $800, $840 and even $900+ These 8 stocks will 5x-10x still: 1. $Advanced Micro Devices(AMD)$ ~$1200 The "legit second source" to $NVIDIA(NVDA)$ . Agentic AI is CPU-heavy, and EPYC owns that lane every step up the AI stack adds general-compute demand. Catalysts stacked: Advancing AI 2026 (Jul 22–23), Zen 6 "Venice" on TSMC 2nm, Q2 earnings Aug 4. Consensus ~$800 | Street-high $900 (Cantor, UBS) 2. $NEBIUS(NBIS)$ ~$400 The neocloud with receipts: 684% Q1 revenue growth, a $46–50B contracted backlog, landmark Meta and Microsoft deals, and a $2B NVIDIA investment. Ra

Every new options trader loses money the exact same way on earnings. You call the direction right. The stock moves your way. You open the app and you're down 40%. Here's IV crush explained: Before earnings, uncertainty peaks. Market makers jack up option prices to match. The second the numbers hit, that uncertainty is gone. Implied volatility collapses 30-60% overnight. Beat, miss, doesn't matter. The crush happens every single time. The math that wrecks you: Option P&L = direction + volatility + time decay. Say your call has 0.30 vega and IV drops 15 points post-earnings. That's -$4.50 from the crush. Your correct directional call made you +$3.00. -1.5 total Right on the stock. Still lost money. How hard the crush hits, by sector: - Biotech: 40-70% (binary FDA outcomes) - High-beta te

One company you need to pay attention to is $Aehr Test(AEHR)$ Calls will open up 500% from $5 to $25 this morning. Here's why: $AEHR doesn't make AI chips. They make the machines that test AI chips before they leave the factory. Think of them as the final quality check. If a chip is defective, they find it before it ends up inside a billion-dollar AI data center. That might not sound exciting, but as AI chips become more expensive and powerful, testing every single one becomes incredibly important. What really caught my attention wasn't just their earnings. They reported record orders, a massive backlog of future business, a huge increase in cash, and guided for revenue to potentially nearly triple next year. To me, that's a strong signal that AI

10 months ago, Leopold bought $SanDisk Corp.(SNDK)$ at $140 it spiked 1700% Last month, he bought this stock and its already down 20% ⬇️ $SharonAI Holdings Inc.(SHAZ)$ — SharonAI His fund just pushed its stake to 19.9%. That's not a nibble. Why I think he's buying here: 🔹 It's a neocloud rents out GPU compute, the buildout's tollbooth 🔹 Deploying up to 40,000 NVIDIA GB300s (72MW AI factory) 🔹 Just closed a $1.6B private placement — oversubscribed 🔹 Down ~30% from June highs = same shovels, cheaper The tell: his book is short the chipmakers via billions in puts, but long the compute + power layer. He's not betting on AI hype he's betting on the bottleneck. My 1-yr target: $200 base / $300 if the GPU ramp l

$IBM(IBM)$ crashing 25% in 1 day is extremely bullish for $Micron Technology(MU)$ $Roundhill Memory ETF(DRAM)$ $SK hynix(SKHY)$ Here's why: Read the letter closely. In the final weeks of June, $IBM's own clients stopped buying $IBM and started hoarding servers, storage, and memory instead. Here are 4 reasons I think this letter matters a lot: 1. This came from the victim, not the salesman. $MU and $SKHY have been telling us for months that memory is tight. But of course they'd say that, it's their product. So I take it with a grain of salt. This is different. IBM just lost deals because their customers ditched them to go bu