Not every stock trading well below its highs is a bargain—but market leaders with strong long-term catalysts often create attractive opportunities after sharp pullbacks. RIGHT NOW, there's 23 stocks ON SALE that will hit all time highs in less than 12 months: 1. $Oracle(ORCL)$ -56.9% — Cloud backbone for AI workloads, multicloud demand just getting started 2. $ServiceNow(NOW)$ -53.3% — AI workflow automation leader, enterprise adoption still in early innings 3. $Palantir Technologies Inc.(PLTR)$ -45.6% — AI analytics leader for defense/enterprise, deep moat compounding fast 4. $Meta Platforms, Inc.(META)$ -30.8% — AI-driv

$Micron Technology(MU)$ ANALYST PRICE TARGET UPGRADES: 📈 Susquehanna: $1,750 (from $600) 📈 UBS: $1,625 (from $535) 📈 Daiwa: $1,600 (from $700) 📈 Needham: $1,550 (from $500) 📈 BofA: $1,500 (from $950) 📈 Stifel: $1,500 (from $550) 📈 Deutsche Bank: $1,500 (from $1,000) 📈 Cantor Fitzgerald: $1,500 (from $700) 📈 Davidson: $1,500 📈 TD Cowen: $1,500 (from $660) 📈 Wedbush: $1,300 (from $500/550) 📈 Wolfe Research: $1,250 (from $550) 📈 Citigroup: $1,200 (from $840) 📈 Rosenblatt: $1,200 (from $600) 📈 Michael Luu: $5000 (from $2000) Average 12-mo target now ~$1,297 (per 26 analysts) Highest Street target: $1,750 Consensus rating: STRONG BUY (24 buy / 2 hold / 0 sell) Why the upgrades? HBM4 sold out for 2027 — Micron can only fill 50-66% of orders Q3 FY26 guide:

$Bloom Energy Corp(BE)$ was losing $200,000,000 every year before spiking 3200% from $10. Right now, there's 4 stocks setting up exactly the same: 1. $T1 ENERGY INC(TE)$ target $110+ AI power buildout burning cash now, margins inflect once Austin G2 scales output 2. $Keel Infrastructure Corp(KEEL)$ target $70+ pivoting bitcoin power into AI compute leases, re-rating from miner to infrastructure play 3. $POET Technologies Inc(POET)$ target $50+ near-zero revenue today, but $500M+ optical AI supply deal could flip that fast 4. $APPLIED DIGITAL CORP(APLD)$ target $400+ AI data center b

$SPDR S&P 500 ETF Trust(SPY)$ 0DTE premarket read 6/24 Yesterday was big gap-down / negative GEX. Today the structure is trying to stabilize but we’re still sitting at the decision point. Spot: 735.26 Gamma flip: 734.79 Pin: 740 Net GEX: +$378.8M Range: 730–740 Key zone is 734.8–736. Above 736 with acceptance → bulls can press into the positive GEX ladder: 737 / 738 / 739 / 740. But 740 is the call wall / overhead ceiling. That’s where upside can start getting dampened. Below 734 and holding → dealer behavior gets unstable again, and downside can open toward the 730 put wall.

$Micron Technology(MU)$ is the biggest bottleneck for AI infrastructure. It's revenue increased 346% in 1 year. Here's 20 AI bottleneck stocks to buy: Memory / Storage 1. $Micron Technology(MU)$ — HBM monopoly w/ SK Hynix, Samsung; 2026 sold out, ramping for 2027. 2. $SanDisk Corp.(SNDK)$ — NAND flash bottleneck; up 464% in 2026 on supply tightness. 3. $Western Digital(WDC)$ / $Seagate Technology PLC(STX)$ — HDD makers; AI storage demand outstripping supply, pricing power surging. Compute / Foundry 4. $NVIDIA(NVDA)$ — GPU compute layer; nothi

$SPDR S&P 500 ETF Trust(SPY)$ crashed 2% but this actually triggers a bigger 10%-20% sell off. Korean stock market crashed 12% already. There's 8 reasons why $SPY has to pull back: 1. $Boeing(BA)$ just dropped a hawkish bomb BofA now expects the Fed to hike rates 3x in 2026 (75bps total), reversing their own call from last week. Sticky inflation + strong jobs data is the reason. Market was only pricing in 1 hike this is a major repricing of risk. Tickers: $NEBIUS(NBIS)$ $WhiteFiber, Inc.(WYFI)$ $Amkor Technology(AMKR)$ $Applied Optoelectro

$SanDisk Corp.(SNDK)$ crashed 10% before reversing back to $2200. Here's 13 stocks about to reverse right away: 1. $Snowflake(SNOW)$ $232 → Buy zone: $200–$210 200-day SMA confluence with high-volume demand zone 2. $Broadcom(AVGO)$ $411 → Buy zone: $400–$405 Retest of broken trendline now flipped to support 3. $Meta Platforms, Inc.(META)$ $577 → Buy zone: $560–$570 52-week low zone, oversold RSI bounce candidate 4. $T1 ENERGY INC(TE)$ $9.35 → Buy zone: $7–$8 Gap-fill zone aligning with rising 50-day average 5. $Microsoft(MSFT)$ $379 → Buy

In 2 years, $Micron Technology(MU)$ squeezed from 1430% from $85 to $1220. It will 3x-5x after its earnings on June 24. These 12 companies have parternships with $MU: 1. $ASML Holding NV(ASML)$ – Sells EUV lithography tools $MU needs for new nodes 2. $Applied Materials(AMAT)$ – Deposition/etch tool orders rise with MU's fab expansion 3. $Lam Research(LRCX)$ – Etch/dep equipment demand grows directly with $MU's NAND/HBM buildout 4. $KLA-Tencor(KLAC)$ – More memory layers built means more inspection tools sold 5. $Onto Innovation Inc.(ONTO)$

TOP 5 GAMMA SQUEEZE IDEAS for June 21-26: 1. $WhiteFiber, Inc.(WYFI)$ calls July 17 $40 Trigger: financing/capacity headlines. Pre-squeeze signal: call volume/OI spiking + IV staying elevated on strength (not fading). Fuel: thin float + record-high short interest. 2. $IREN Ltd(IREN)$ calls June 26 $62 Trigger: GPU-hosting/hyperscaler contract rumors. Pre-squeeze signal: rising call skew at near-the-money strikes + unusual volume in the 2x leveraged ETF. Fuel: forced daily ETF rebalancing buying on top of dealer hedging. 3. $Core Scientific, Inc.(CORZ)$ calls June 26 $30 Trigger: financing/capacity-expansion news (just refinanced its bridge loan). Pre-squeeze sign

In 1 year, $Amkor Technology(AMKR)$ spiked from $18 to $90 so 500% but it can easily hit $300-$500. Here's 8 reasons why it hasn't ran like $Broadcom(AVGO)$ $Advanced Micro Devices(AMD)$ $NVIDIA(NVDA)$ $Marvell Technology(MRVL)$ $Alphabet(GOOG)$ $Amazon.com(AMZN)$ : 1. Advanced packaging sits directly on the critical path of AI infrastructure growth and is becoming more important as Moore's Law slows. 2. Management expects revenue to grow from $6.7B in 2025 to approximately $11B+ by 2030. 3. EPS

Its 2040, regular person who bought these 6 ETF's right now are millionaires doing nothing... Here's 6 steps to follow: 1. Open a tax-free investing account like a Roth IRA. 2. Put in $5,000 and buy one (or all) of these ETFs. 3. Contribute $500–$2,500 every month into them, no matter what. 4. Say no to going out, no to impulse spending, let it compound instead. 5. Don't touch it. Don't panic sell. Let 2026-you trust 2040-you. 6. Check back in 14 years. You're a millionaire. 6 GOLDEN ETF's to buy: 1. $Roundhill Memory ETF(DRAM)$ — Memory chips power every AI server; this cycle is structurally undersupplied. $Micron Technology(MU)$ $Western Digital(WDC)$

$Micron Technology(MU)$ will be spike 10%-15% for Q3 earnings on June 24. It's valuation can easily go from $1 trillion to $5 trillion by 2035. Here's everything you need to know: First, $MU is the biggest botteneck in AI supply chain. Its the only company all 3 CEO $NVIDIA(NVDA)$ , President Trump and Elon Musk said to buy. The basics for Q3: $33.5B revenue (±$750M), ~81% gross margin, $19.15 EPS (±$0.40) That guide alone beats $MU's entire annual revenue through FY2024. In one quarter. Other memory stocks have been doing super well too: $SanDisk Corp.(SNDK)$ 820% YTD $Western Digital(WDC)$ 333% YTD

AI isn't a single stock story—it's a multi-trillion-dollar infrastructure buildout. The companies supplying memory, storage, optical networking, semiconductor equipment, power systems, and data center infrastructure are becoming some of the biggest beneficiaries of the largest technology spending cycle in decades. $SPDR S&P 500 ETF Trust(SPY)$ AI Infrastructure — YTD Returns & Why They will keep going higher... 1. $SanDisk Corp.(SNDK)$ +820.36% — Spun off from Western Digital, pure-play NAND flash exposure. AI data centers need massive storage capacity for training datasets and model checkpoints 2. $Western Digital(WDC)$ +333.17% — Hard drive + flash storag

Here is why $Meta Platforms, Inc.(META)$ and $Alphabet(GOOG)$ are working with $Broadcom(AVGO)$ to make custom AI ASICs. $NVIDIA(NVDA)$ GPUs are powerful and flexible. Built, they contain parts that AI models do not use, making them highly expensive and inefficient when used in certain ways. ASICs are custom chips designed to do only one specific job, like running a specific type of AI model extremely fast. An ASIC is like a specialized tool built for a specific task, while a GPU is like a multi-tool pocketknife. The ASIC is much more energy-efficient and cost-effective once a company is running millions of specific task

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

$SpaceX(SPCX)$ will disrupt 5-8 industries all at once. It will 100x-200x by 2035 when Elon Musk... Disrupts these industries 1 by 1: Communications 1. $Iridium(IRDM)$ — Satellite communications. Benefits from global connectivity expansion. 2. $AST SpaceMobile, Inc.(ASTS)$ — Space cellular networks. Accelerates satellite-phone adoption. 3. $Globalstar(GSAT)$ — Satellite spectrum owner. Valuable in space communications. Mobile Phones 1. $Qualcomm(QCOM)$ — Smartphone chips. Powers direct-to-cell satellite connectivity. 2. $Apple(AAPL)$ —