1 year ago, $SanDisk Corp.(SNDK)$ ran from $40 to $2400 for 6000% Then it crashed back to $1500 before spiking again. Here's 4 set-ups exact 1000% potential: 1. $Bloom Energy Corp(BE)$ Buy zone: $220–230 = prior base / breakout retest • AI data centers need power NOW → fuel cells = fastest time-to-power • Brookfield just scaled their AI-infra partnership to $25B (5x expansion) • Q2 earnings Jul 28 first real profitability inflection 2. $AST SpaceMobile, Inc.(ASTS)$ Buy zone: $64–72 = double-bottom reload • Only space-based cellular broadband hitting phones direct (not hype anymore) • AT&T + Vodafone = distribution already solved • BlueBird 11/12/13 launch from

Top 3 earnings plays this week: 1. $Aehr Test(AEHR)$ — Tues after close Last Q (Q3 FY26): EPS -$0.05 (beat -$0.10 est), revenue $10.3M (-44% YoY) but bookings exploded to $37.2M, up 6x QoQ. Guidance: Guides 2H FY26 revenue $25–30M, bookings $60–80M, return to non-GAAP profit in Q4, AI processor burn-in demand ramping. Expected move: ~±17% (last implied 17.2%, avg realized ~19%). 2. $ASML Holding NV(ASML)$ — Wed before open Last Q (Q1 26): Sales €8.8B (+13% YoY, beat), gross margin 53%, EPS €7.15, net income €2.8B but stock fell ~6% on China export fears. Guidance: Q2 sales €8.4–9.0B, gross margin 51–52%; full-year 2026 raised to €36–40B on AI-driven EUV demand across memory and logic. Expected move: ~±5–6

One ETF turned $10K into $300K+ over 10 years. These 3 are the best ones: 1/ $VanEck Semiconductor ETF(SMH)$ — VanEck Semiconductor $10K → ~$115K (2016–2026) 27.7% annualized the single best ETF of the decade The purest AI bet on the board. $NVIDIA(NVDA)$ $Broadcom(AVGO)$ $Taiwan Semiconductor Manufacturing(TSM)$ sit at top weight. Every data-center buildout on earth runs through these names. 2/ $Vanguard Information Technology ETF(VGT)$ — Vanguard Information Technology $10K → ~$72K 21.8% annualized | 0.09% fee The "boring" one that quietly crushed it. 300+ tech names for almost n

$10,000 in $Direxion Daily Semiconductors Bull 3x Shares(SOXL)$ on May 20, 2016. $991,866 exactly ten years later. Nearly 100x. Almost a million dollars from one ticker. Here's the NEXT one: $Roundhill Memory ETF(DRAM)$ — the first-ever memory ETF. Everyone spent this whole AI run fighting over which stock to own $NVIDIA(NVDA)$ $Micron Technology(MU)$ $SanDisk Corp.(SNDK)$ $Broadcom(AVGO)$ $Advanced Micro Devices(AMD)$ $Apple(AAPL)$

Some trading lessons that only became clear after I learned them the hard way. 💡 When you catch yourself watching the news or obsessing over your positions more than the actual price action on the chart, it’s almost always because your size is too big. 📊 If you’re more focused on locking in quick profits while refusing to cut your losers, it’s usually because you’ve already taken too much damage — and you’re terrified of realizing even more loss. Oversized again. ⚠️ And if deep down you’re hoping a single tweet from Trump (or any headline) will magically rescue your account… you might be better off working at a casino. Either way, your position sizing has left the building. 🃏 Buffett’s old line about people preferring to get poor fast rather than rich slow gets mocked by some. But it’s bru

$SpaceX(SPCX)$ may be grabbing the headlines, but the next decade of the space economy won't be built by one company alone. From launch providers and satellite communications to photonics, quantum computing, AI infrastructure, and lunar exploration, an entire ecosystem is emerging around the commercialization of space. SPCX crashed right after its IPO to $147. It's going under $100 first before ripping $1,000+ These 19 SPACE stocks will explode too: 1. $Rocket Lab USA, Inc.(RKLB)$ ~$87 Small-launch and satellite manufacturing filling the gaps Falcon can't serve efficiently. 2. $Gilat Satellite Networks(GILT)$ ~$13 Satellite ground infrastructure scaling alongside

3 years ago, I alerted $NVIDIA(NVDA)$ at $18 before it hit $240+ Again, these 8 stocks have exact same set-up like $NVDA: First of all, once you find a winner do not sell it early. This is proof holding is the best way to win: $Alphabet(GOOG)$ — 2004 IPO at $85; roughly 180x to its May 2026 high near $402. $Tesla Motors(TSLA)$ — 2010 IPO at $17; ~430x split-adjusted to its ~$490 peak. $Microsoft(MSFT)$ — 1986 IPO at $21; over 7,000x split-adjusted to its ~$539 peak. $Meta Platforms, Inc.(META)$ — 2012 IPO at $38, never split; ~21x to its $787 August 2025 high.

These 9 stocks will run with $NVIDIA(NVDA)$ for the next 5-10 years: $Micron Technology(MU)$ — HBM and DRAM are the AI bottleneck; every accelerator needs more memory, and supply stays tight through 2028. $Advanced Micro Devices(AMD)$ — The only credible GPU alternative to Nvidia; even a small data-center share shift is worth hundreds of billions. $SpaceX(SPCX)$ — Owns launch and satellite internet outright; Starlink alone could rival telecoms as the space economy compounds for decades. $Broadcom(AVGO)$ — Designs the custom AI chips hyperscalers use to reduce Nvidia dependence, plu

President Trump pumps $Dell Technologies Inc.(DELL)$ $NVIDIA(NVDA)$ $Micron Technology(MU)$ everyday. He owns up to $25M of this AI company and never once talked about it. No one knows what this stock is except me: President Trump invested millions in this company, but has never mentioned it: $Broadcom(AVGO)$ His financial disclosure shows Broadcom held across multiple accounts, with one position sitting in the $5,000,001–$25,000,000 bracket. That's larger than his disclosed $Palantir Technologies Inc.(PLTR)$ or $Oracle(ORCL)$ stakes the

You do not have to buy all of these stocks! Pick your top 3. These are all the leaders in AI, space, energy and robotics: $Micron Technology(MU)$ (~$977) — HBM memory is AI's core bottleneck; every GPU cluster needs more Micron yearly $Roundhill Memory ETF(DRAM)$ (~$61) — One-ticket basket of every memory maker riding the AI storage and HBM supercycle $NVIDIA(NVDA)$ (~$194) — The default AI compute platform; Rubin and beyond keep it at the center $Advanced Micro Devices(AMD)$ (~$410) — MI-series accelerators give hyperscalers a real second source as compute demand explodes $AST SpaceMo

Market pullbacks have created opportunities across AI, semiconductors, cloud, and next-generation infrastructure. Here are 24 growth stocks still trading well below their highs, offering significant rebound potential if market leadership remains intact. 24 stocks ON SALE right now and will break all time highs by Jan 1. 🔴 Micron $Micron Technology(MU)$ -22.3% 🔴 SanDisk $SanDisk Corp.(SNDK)$ -25.9% 🔴 Western Digital $Western Digital(WDC)$ -32.6% 🔴 Arm Holdings $ARM Holdings(ARM)$ -30.4% 🔴 Intel $Intel(INTC)$ -15.5% 🔴 Broadcom $Broadcom(AVGO)$

16 years ago, $Tesla Motors(TSLA)$ IPO'd at $17. It returned 445x and transformed the car industry. Here's 5 robotics companies that will 100x-200x exactly like TSLA: 1. $Ouster Inc.(OUST)$ — Digital lidar + AI cameras giving robots 3D vision to see and navigate the physical world. Customers: Komatsu, FieldAI, AIM Intelligent Machines, warehouse/logistics operators. Special note: Only US-aligned, at-scale lidar+camera perception stack after acquiring Stereolabs (90K+ deployed ZED cameras), now the sole non-Chinese option in federal procurement. 2. $Aeva Technologies Inc.(AEVA)$ — FMCW 4D lidar-on-chip that measures instant velocity, not just distance, for real-ti

The biggest bottleneck of AI is memory right now. Memory stocks like $SanDisk Corp.(SNDK)$ spiked 4661% already. Here's the bottleneck company for robotics: First, this is the bottleneck: precision actuation (motors + gearboxes + integrated force/torque sensing) Not compute, not lidar, not even batteries it's the actuator/joint system. Here's why: 1. It's the single biggest cost and engineering line item. McKinsey breaks the humanoid hardware stack into five domains, and actuators alone account for 40–60% of the bill of materials more than double any other subsystem. 2. The supplier base is tiny and not built for volume. Fewer than 10 global suppliers can currently produce actuators with the precision required, and the humanoid supply chain is exp

99% of traders will never tell you where to sell. I will. This year, Kate turned $1000 into $215,000 in 1 month. I don't sell early to make 50%-100% when you can make 700%-2000%. Here's the 1 cheatcode to hold any stock longer: It all comes down to TRUST. You sell early because you don't trust the price action, your setup, or yourself. The market didn't force you out. Fear did. Every time you cut a winner short, you're telling yourself: "I don't believe this trade can reach my target." The best traders don't make more predictions. They trust their edge enough to let probabilities play out. Why traders don't trust their trades: 1. They never fully accepted the risk before entering. 2. Their position size is too large. 3. They don't have a written profit target. 4. They focus on every candle

3 years ago, 5 trillion tokens were consumed per month. By 2030, $JPMorgan Chase(JPM)$ estimates 8 quadrillion tokens will be used per day so 49000x more. These 3 companies will benefit the most: 1. $NVIDIA(NVDA)$ Higher tokens/sec/GPU makes each GB300 more valuable per dollar spent better effective ROI for buyers, which reinforces continued capex cycles and pricing power. Also validates Nvidia's push toward system-level architecture (NVLink, rack-scale) since wideEP/disaggregation depends on high-bandwidth GPU-to-GPU interconnect, not just compute. 2. $Micron Technology(MU)$ / SK Hynix / $SanDisk Corp.(SNDK)$ (Memory suppl

No one is paying attention to $Netflix(NFLX)$ earnings on July 16. Last quarter, they suprised the market with a massive EPS beat by 60%. 5 reasons NFLX is turning around: 1. Ad-tech inflection Netflix is ramping its ad business through a new Omnicom partnership that fuses Acxiom audience data with Netflix's AI-powered ad formats, which is the kind of monetization lever bulls have been waiting on. 2. Cash machine, not a broken business revenue over the last year sits around $45.18B with an EBIT margin near 36% and profit margins above 28%, while free cash flow this quarter was about $5.09B. That's not a company in decline, it's a company being repriced. 3. Opportunistic capital allocation —Netflix is buying Los Angeles' Radford Studio Center for r

South Korea's stock market crashed -8.5% overnight. $SK Hynix, Inc.(HXSCF)$ and $Samsung Electronics Co., Ltd.(SSNLF)$ led the bleed, hit by an AI semiconductor selloff and Korea's hottest inflation print since Dec 2023. $UBS Group AG(UBS)$ says 60% of companies are now curbing AI spending, shifting to cheaper models including open-source Chinese options like DeepSeek and Qwen. This is a buying opportunity. Global AI compute demand isn't going anywhere. This is a shakeout, not a top. Best AI infrastructure plays, and how far each sits from its 52-week high: $Micron Technology(MU)$ -17.7%

With July historically delivering strong gains for U.S. equities, investors are turning to AI, semiconductors, cloud, robotics, and digital infrastructure leaders as potential beneficiaries of the next market advance. This watchlist highlights 20 stocks positioned to capitalize on improving sentiment and long-term AI-driven growth themes. 12 years in a row, July has closed 1%-2% up. $SPDR S&P 500 ETF Trust(SPY)$ will hit $760 then $820+ by year end. It's time to buy these stocks ON SALE: 1. $Microsoft(MSFT)$ → $480 — AI Foundry + Azure reacceleration once capex fears fade 2. $Meta Platforms, Inc.(META)$ → $720 — ad business funding the AI buildout, still 33% r