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

In February 2023, I said buy $NVIDIA(NVDA)$ at $18 before AI explosion. Then I called out: $Micron Technology(MU)$ at $80 → $1150 $AST SpaceMobile, Inc.(ASTS)$ at $2 → $130 $IONQ Inc.(IONQ)$ at $7 → $72 $Roundhill Memory ETF(DRAM)$ at $25 →$76 (safest play so far) Right now, these are still super cheap: $ServiceNow(NOW)$ at $95 $NEBIUS(NBIS)$ at $287 $Applied Optoelectronics(AAOI)$ at $162 $Broadcom(AVGO)$ at $41

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

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

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