$MU and $SNDK (June 16, 2026-monthly charts) As I often share with my community, the monthly chart is the true domain of serious long-term investors — those who are ready to buy, accumulate, and hold high-quality stocks for at least 3–5 years. The most recent bullish signals on monthly timeframes have been remarkably accurate. 1. $MU — Last major monthly buy signal came near $90. The stock has since gone parabolic. 2. $SNDK — Last monthly buy signal appeared around $50. It too delivered massive gains afterward. If you missed the monthly signals, no problem — simply shift your focus to the daily and weekly charts for the next high-probability bullish setups.
this Anthropic news is so bullish for $SNDK
All the $SNDK short sellers went extinct. Can’t believe it’s almost $2000 now? That aside feels like everyone is just waiting for the $SPCX IPO in a few hours. https://t.co/EahzuEy1KE
Just in case you’re wondering why indexes + individual names like $SNDK to $MRVL to $LITE are green now. Trump just cancelled attacks on Iran. This market is so volatile… https://t.co/mYzzYeU5rL
Just in case you weren’t aware… The broader index is down a significant -3-4%. Stocks don’t move in a straight lineup unless you’re $SNDK. And are largely affected by wider selloffs. Curious what my follower portfolios look like you’re green this week + long only? https://t.co/XRlXdeHbm1
$SIVE looks like both a chokepoint and a bottleneck for CPO next year. Keep seeing information published from nontechnical people who miss any nuances. Here’s the reason why: 1. CW lasers are bottlenecked signaled by $LITE earnings. Laser fabs are heavily allocated to EML likely from former $NVDA contracts. -> Sumitomo/Furukawa = bottleneck -> Win Semi = bottleneck $SIVE does fab-lite, so are they a bottleneck? Yes, $SIVE sits in the laser bottleneck since control output supply of CW lasers from Win Semi and other fabs from allocation way early on (CEO stated they working with more capacity from other players as well). Perfect example is Kioxia/Sandisk. $SNDK controls NAND output, so they’re a bottleneck because they control final pricing. Demand exceeding supply from Ayar, Jabil, other pluggable vendors + Nvidia NVLink CPO ecosystem… final laser supply owned by $SIVE makes Sivers a bottleneck. $SIVE is also likely primary/sole source for Jabil, Gen-1 Ayar, $MRVL Celestial, and other hyperscaler asic/merchant CPO routes. So no way to get around it (can’t hot-swap single channel cw lasers with Sivers) 2. $SIVE is a chokepoint over CPO. $NVDA use $COHR, $LITE (which likely sources external cw capacity from Japanese competitors) $AVGO is likely vertically integrated as well. However: the entire ecosystem around it from ASIC programs (Marvell, AlChip, etc) and merchant programs (Ayar, Lightmatter, Lightelligence) Are all likely designed around $SIVE. Ayar for example, likely tried to multi-source with $MTSI / $LITE back in 2022 but their lasers probably couldn’t match the level of Sivers specification with arrays (removed Lumentum / Macom from their supply chain site recently) If there’s no alternative at least for the initial generations (obviously they’re working to multi-source). That makes $SIVE a structural chokepoint to go through for lasers. Even if you look at the 1.6T LRO $JBL designed, they achieved a “drastic moat” with performance built around $SIVE likely sole source. $SIVE is also the foundry level reference laser design for $GFS, which your hyperscalers use like $AMD (likely using Sivers + maybe Ayar for gen1): If every major player, who hasn’t achieved vertical integration (Nvidia/Broadcom) is using Sivers for CPO… That makes them a chokepoint. Just look at the entire CPO $NVDA NVLink ecosystem partners: every single one are all likely using Sivers. And they all use $GFS as well (where Sivers is default reference). So $SIVE is both a chokepoint and bottleneck when CPO really scales up H2 2027, over one of the biggest architectural shifts of all time (near $0 -> $81B or $91B TAM in the next 1 1/2 years from GS research note) This is why I say $SIVE looks like it could be the next $75B $LITE over the next couple years. All of this should play out next year. And it’s still trading less than a company with $50M in purchase agreements that buys Sivers lasers to repackage them.
I did say $AAOI was my favorite US optical long... +20.1% today. If you want the next $SNDK, you're looking at it. I think H1 entering H2 2027 will likely be that massive inflection point for photonics players. We're just a tad early entering H2 2026 while everyone is building up capacity. Just a general rule of thumb in general if your name isnt space or quantum, markets are forward looking round 8 months. That revenue ramp inflection point is coming, more of a matter of when, waiting for it, and embracing volatility in the meantime.
I still find it funny how all the software bros are happy about a 10-15% recovery with $CRM to $FIG. After getting wiped 25-60% of their portfolio. Meanwhile all the AI names from $SNDK to $AAOI are casually up 200-1000%.
RT @dannycheng2022: Never underestimate the power of simple charts and the beautify of genuine long term investment—these parabolic stocks are likely to go even higher. $ARM $INTC $AAOI $MRVL $AEHR $SNDK $MU blockstack:native $AMD $AXTI $AVGO I've been charting these outperformers almost daily for months now, whenever I can, to keep my community informed. I’d rather not spend time on laggards — it’s not the best use of either of our time.
RT @dannycheng2022: Forward P/E of the 4 Memory Stocks (as of early May 2026) 1. $MU (Micron Technology): ~6.4x Lowest in the group — looks the most attractively valued on expected earnings. 2. $SNDK (SanDisk): ~11.7x Moderate valuation, sitting in the middle. 3. $STX (Seagate Technology): ~29–32x Significantly higher multiple. 4. $WDC (Western Digital): ~31–33x Also trades at a premium valuation. Quick Takeaway: $MU and $SNDK stand out as the cheapest on forward earnings, while $STX and $WDC appear more expensive. These are volatile memory stocks, so valuations can change quickly with market sentiment and earnings updates. I’ve been charting these stocks daily with the patreon community for months and will keep doing so until we see a clear trend reversal.
$RPI, close to ~3x returns. Off the media branded "Meme Stock". I think after retail saw institutions bear post my thesis posts. Then ended up paper handing $AXTI, then $RPI, then $IQE, then $EWY, then $SNDK, then $AAOI, then $SOI. And them watch them all go up 3x-15x+ after institutions bought up the float. Retail finally learned not to trust them with anymore with names like $SIVE?
AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections. You're not bullish enough. And it might be a good idea to stay exposed + own the keys of the AI Kingdom: -> $AXTI controls the materials buildout with photonics. -> $SOI controls the AI buildout with silicon photonics. -> $SIVE controls laser chokepoints for CPO. -> $IQE controls Western epiwafer supply chains for photonics. All these started off as tiny companies, yet the trillions of projected capex gradually upward to them. There's many more in other industries as well. -> AI Capex flows to Neoclouds like $NBIS. -> AI Capex flows to memory like $MU and $SNDK. And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion. We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.
Photonics is nuanced and using ChatGPT/Gemini makes you miss all of it: 1. $SIVE is actually a chokepoint and partially a bottleneck. The reason it's a chokepoint is leading CPO/optical hyperscaler players go through Sivers, likely: Ayar. Celestial. Lightmatter. Lightelligence. Poet. If you take out Sivers, you literally can't make some of their products + delay their roadmap by years. As many are sole/primary source but are heading the direction on multi-source. As for the bottleneck argument: Win Semi is the bottleneck for scaling laser production. But... the nuance is when you have capacity allocated for the next few years. You become part of the bottleneck itself if players fight you for allocation of finished lasers. That's the nuance people miss with capacity allocation dynamics. It's like saying $SNDK is not part of the NAND bottleneck when Kioxia makes all of it. But when Sandisk has the ultimate control of output supply, they become the bottleneck + have all the pricing power. Sivers controls output supply of CW lasers given allocations, and as seen with $LITE earnings, CW laser is currently bottlenecked as everyone seems to be stuck producing EMLs. 2. Like how LLMs always uses em-dashes. You can tell when people use AI when they always use the same "CW is a dumb interchangeable laser" argument or compare "power" specs after conflating different architectures. That's why your "analysts" using AI will get this wrong over and over. There's CW lasers... and then there's a specific architectural design that Sivers achieves with DFB lasers. If you compare power specs with $LITE vs. Sivers, Lumentum wins in isolation. But they're completely different laser architectures. All the leading CPO players like Ayar, chose $SIVE for an architectural reason for high power, low thermal, laser arrays. $JBL 1.6T LRO also made one of the most dramatic moats cited by their fireside chat, using Sivers lasers. If you think CW lasers are interchangeable with Sumitomo/Furukawa, and others. And can be plug-and-play... i don't know what to tell you? Again: $SIVE makes architecturally unique CW lasers for leading CPO players. 3. I'm not sure how many times I need to say this: $SIVE for 2024-2025 has been going through development contracts. People using TTM revenue or former P/S metrics are using completely the wrong metrics, when there's volume ramp in 2027. It's the same with $AAOI which volume ramps in H1 2027. $AEHR which volume ramps after qualification. $LPK that volume ramps after qualification. This is just missing qualification cycles in semiconductors and how to model financials currently. As for the $LITE comparisons (which was also my long last year): $LITE literally started off selling laser dies before acquisition of Cloud Lite and other downstream optical engine components. This is where $SIVE is at today with starting off in the laser chokepoint for CPO: People are modeling laser revenue off very isolated TAM projections. Meanwhile Sivers is targeting M&A to expand revenue for TAM projections. This is not a simple component FAU + ramp valuation modeling over with a Taiwanese company. Since Laser companies like $LITE, $COHR are known to downstream expand to make their lasers more valuable, then vertically integrate (fabs, assembly) afterward. Again, Sivers worked with Ayar and these types of companies before they all became billion dollar companies. I have high conviction knowing they know what to acquire down the ELS/optical engine stack + pluggable transceiver for TAM expansion. It's just annoying when I get people who don't understand the nuances backseat commenting wrong things about my longs. I got the same thing about $AXTI is not a bottleneck! InP isn't needed! China! back at $14. Now it's $140 I got the same thing about $AAOI "is going down 50%!" back at $65. or "AOI management is shady at $30". Now it's $170 I got the "there's nothing new with $SOI" back at $45. Now it's $170. I think I'm one of the few who actually understands the nuances with photonics, since I did call out $LITE, $TSEM, Innolight, $AXTI, $AAOI, $SOI, that outperformed both photonics markets and overall markets over the past year. And now I'm long on $SIVE.
I don't post dollar amounts because they don't matter. What matters is return %. Speaking of that... YTD: 3840.39%. I'm probably the only one in the world. Who called out multiple names that 10x'd in a short timeframe. Do you remember these thesis anon? 1. $AXTI 2. $SIVE 3. $AAOI 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK 24. $NBIS 25. $MU They're all up 100-1000%+, because... 1. I post a thesis. 2. People can see how the stock performs months later. 3. They turn out right (thesis validation) because they're up hundreds of percent + hold their returns. I really dislike the traditional X influencer who shows large dollar amounts or fancy watches/cars/private jets. Then use that to get more by selling expensive subscriptions rather than through market returns. So trying to set a new trend off pure information discovery/synthesis from free thesis posts and the results that follow in terms of return percentages. TLDR: Market returns in terms of percentages matter the most to validate a thesis. Not the dollar amount made.
I'm not sure why people look at 13F filings so deeply when all the hedge funds are super behind on names like $JBL, $LITE and others. The most returns come from frontrunning institutions before they figure out the next $SNDK. Not following them 3 months after they file.
Leopold Aschenbrenner is a legend, but I'm not quite sure he can beat 3152.77% YTD in the Serenity Awareness fund. That being said, I've hit 23 different longs this year with 100-1000%+ YTD. 1. $AXTI 2. $AAOI 3. $SIVE 4. $LITE 5. $IQE 6. $AEHR 7. $CRCL 8. $EWY 9. Unimicron 10. Nitto Boseki 11. $OSS 12. $GDRZF 13. $RPI 14. $SOI 15. $ALRIB 16. $SNDK 17. $SIMO 18. $VPG 19. $TSEM 20. $ARM 21. $MRVL 22. $INTC 23. $LPK Do you remember all of these anon?
What an insane day for photonics. $SIVE up 31.3% $TSEM up 23.1% $AAOI 20.01%. It feels like a lot… but this just means you’re early to the next supercycle and there’s a lot of room to go. Lot of people on X ask what’s next after $SNDK? Here they are. https://t.co/jTeHpYtf0n
RT @dannycheng2022: Forward P/E of the 4 Memory Stocks (as of early May 2026) 1. $MU (Micron Technology): ~6.4x Lowest in the group — looks the most attractively valued on expected earnings. 2. $SNDK (SanDisk): ~11.7x Moderate valuation, sitting in the middle. 3. $STX (Seagate Technology): ~29–32x Significantly higher multiple. 4. $WDC (Western Digital): ~31–33x Also trades at a premium valuation. Quick Takeaway: $MU and $SNDK stand out as the cheapest on forward earnings, while $STX and $WDC appear more expensive. These are volatile memory stocks, so valuations can change quickly with market sentiment and earnings updates. I’ve been charting these stocks daily with the patreon community for months and will keep doing so until we see a clear trend reversal.
For Towa (6315): Earnings are very nuanced. I got the current ER "Beat" wrong in my original thesis (short term), my bad. But it's an amazing structural long and setup for H2 2026 rather than H1. TLDR: Near term bearish algorithmically since they miss the nuance, very positive H2 (markets are forward looking) Revenue ¥54.36B (+1.7% YoY), Net Profit at ¥4.59B (-43.4% YoY). Operating Profit ¥6.91B (-22.1% YoY) News headlines say "EPS crashed -43.4%" or "order miss" that might trigger an algorithmic selloff. 1. As you've seen with US Towa trading, "EPS crashing -43.4%", and algos might have sold headlines. -> But this was due to last year, of one-off "compensation for damage" payout and one-time ¥1.3 billion yen stock sales from last year. -> Also "increased initial costs for new customers in compression equipment." for new equipment is caused profitability losses this quarter. So a bit of an accounting mirage, not really any profitability issues + scaling new orders, so one-off. However: Margin inflection point is already here. Which is the biggest signal. Full year operating margin was 12.7%. For the annual average to reach 12.7% when Q1-Q3 was hovering around ~10%, Q4 should have been around ~18.4% or something? Which is extremely bullish moving forward for profitability, and shows HBM compression machines are doing work, compared to legacy equipment. 2. Order book "miss": "Acceleration expected during the second half of fiscal year 3/27 as front-end process production capacity expands." This signals $MU, Sk Hynix, and others don't have the floor space ready yet, since they're still building front-end wafer fab lines. But H2, is setup for massive beat. Demand visibility is there... just revenue/profit ramp deferred to H2. _ Towa forward guidance forcasted ¥64.0B in Sales (+17.7% YoY) and ¥10.24B in Operating Profit (+48.0% YoY), which signals all time high profitability in the future. IMO they also sandbagged revenue guidance, since they literally said acceleration second-half but didn't give much of a projection beat. Japanese companies tend to be ultra conservative too, their dividend hike is a large signal too Regardless, I think the US selloff was probably just due to negative accounting headlines + lower liquidity. Also I was a bit too early by like 4-6 months. But Towa is an extremely positive setup for H2. Just not your explosive $SNDK $AAOI 10%+ a day type company. TLDR: Long term bullish, short term lot of nuances missed with headlines. Just need to wait a few more months if you have patience. Margins are increasing, revenue/orders deferred H2, dividend hikes, etc.
Just a TLDR of recent semi developments: 1. $TSM pushing hard CoPoS - VisEra/others might go brrr earlier than expected. 2. $AAPL goes with $INTC for semi production, which is a major shift cause they normally go with TSM. Made in America go like Intel go brrr. 3. $NVDA Vera Rubin reportedly makes changes to cooling architectures very recently. "Taiwan's thermal management suppliers are emerging as one of the fastest-growing segments in the AI hardware ecosystem" - From Last Month. "Vera Rubin server architecture is expected to drive a fundamental shift in data center cooling and system design" Will cover thermal ecosystem later, maybe it's time to take a look? 4. 2D NAND shortage spirals after Samsung, Micron, and rivals exit market Macronix, Windbond go brrr. implications for GigaDevice and other niche players. 5. "Big Tech reportedly offers to fund SK Hynix fabs and EUV" - Memory that badly bottlenecked that mag7 wants to pay for it, so $MU, SK Hynix, Samsung go brr. 6. $TSM 2026 net revenue $12.6B for April 2026. Revenue up 30%, Semis keep going brr. 7. Anthropic needs compute -> SpaceX. So implications for compute demand is extreme here which is BRRR $NBIS and others. But it's very interesting they sidestepped Neoclouds and went with SpaceX. 8. "SKC to Accelerate Mass Production of Glass Substrates for U.S. Clients by the End of the Year" "the end of the year, ahead of its original plan, it has been announced" Glass Core substrates players like $LPK for mass production and other related players like SKC go brrr. Glass timelines moved up. heavy brrr glass. 9. "Power chip shortages deepen as AI server demand and GaN battles escalate" Maybe time to look into the power chip bottleneck anon? 10. "Adata said DRAM and NAND flash contract prices will each climb more than 40% in the second quarter of 2026" Another positive for $MU, SK Hynix, Samsung, $SNDK, and others.
My Singaporean friend @elynast helped me create a fun video laying out my very first price target for $AMD. Honestly, it was just for fun — I never imagined $AMD would explode into a full-blown parabolic rally like $MU, $SNDK, and $STX so fast. But here we are. A massive thank you to my loyal Patreon subscribers who have trusted my technical analysis through thick and thin. Over the past year, we’ve faced both wins and tough drawdowns, but I’ve always stressed the same core truth: it’s not about perfectly timing the bottom — it’s about heavy position sizing and relentlessly adding at major support levels and when my signals flipped bullish, we went aggressive — and those compounding gains have spoken for themselves. Last cycle, I was fortunate to load up on $NVDA at $15.2 and $PLTR at $8.8. This cycle, I feel incredibly lucky again — catching the right name early and adding aggressively, week after week, for an entire year. To everyone who trusted the process: you’re seeing the results of patience, discipline, and conviction. To those who unsubscribed — no hard feelings. There are always plenty of content creators out there promising overnight riches and moonshots! I sincerely wish you every success in your investment journey! My approach has always been different: building real, sustainable wealth through long-term conviction and patience. We’re just getting started!
I feel like all the $FISV, $PYPL, $NVO value/dividend investors went extinct this cycle? Was very popular, even last year… But if you pivoted to semis like $INTC or $SNDK, you would be up 200-400%+ YTD. X feed is just AI bottlenecks now, feel like I helped start a new trend? https://t.co/tj7ykBGMyr
Nobody can convince me $SNDK isn’t a meme stock at this point. But as I’ve said, bottlenecks with multi-year visibility like $HPS.A or $LITE tend to perform better. https://t.co/WkjoG1jIYu
Forward P/E of the 4 Memory Stocks (as of early May 2026) 1. $MU (Micron Technology): ~6.4x Lowest in the group — looks the most attractively valued on expected earnings. 2. $SNDK (SanDisk): ~11.7x Moderate valuation, sitting in the middle. 3. $STX (Seagate Technology): ~29–32x Significantly higher multiple. 4. $WDC (Western Digital): ~31–33x Also trades at a premium valuation. Quick Takeaway: $MU and $SNDK stand out as the cheapest on forward earnings, while $STX and $WDC appear more expensive. These are volatile memory stocks, so valuations can change quickly with market sentiment and earnings updates. I’ve been charting these stocks daily with the patreon community for months and will keep doing so until we see a clear trend reversal.
Never underestimate the power of simple charts and the beautify of genuine long term investment—these parabolic stocks are likely to go even higher. $ARM $INTC $AAOI $MRVL $AEHR $SNDK $MU blockstack:native $AMD $AXTI $AVGO I've been charting these outperformers almost daily for months now, whenever I can, to keep my community informed. I’d rather not spend time on laggards — it’s not the best use of either of our time.
Just for the visual learners about CPO: This is what the CPO market growth looks like from GS + $LITE transcript confirmations. There's certain names that are very high-beta correlated to CPO. Maybe... not the best idea to copy firms named after Orange Peels on $AAOI to $SNDK to short names. At the very beginning or middle of supercycles? Especially if you're retail, live in Europe, and only look at last 12 months revenue instead of forward growth.
The nice thing about multi-year bottlenecks from: $HPS.A to $SNDK to $LITE Is that you can sleep a easier despite market volatility like today. Knowing demand will be extreme even 1 year... Even if Trump wants to nuke Bikini Bottom and other companies might be more impacted: -> One has a huge market share over Transformers -> One has huge market share over NAND -> One has huge market share over EML/OCS. And the one thing in common is that they're all likely backlogged on orders into 2028. Signaling near-guaranteed fundamental revenue and likely margin expansion into the next year. It's H1 2026 now.
Feels like everyone is doom-posting KOSPI saying: > “Look at the chart, it can’t keep going up like this!” > Memory is a black hole for demand ( $SNDK taking 3Y preorders ) > $EWY is basically just two stocks, Samsung and SK Hynix, not a representation of the Korean economy > Like saying Taiwan Index is a bubble because the index that tracks $TSM and Mediatek goes up. > Memory demand/AI doesn’t just disappear because of a War in Iran, but it does get more expensive. > Increased energy from crude/LNG get passed down to hyperscalers, not eaten up in opex. It’s looks to be fear selling and deleveraging (3x ETFs and 10x likely got wiped out today) rather than materially operational (slight bearish headwind, but not enough for -30%). SK Hynix futures is now trading in the high $300B MC-low $400B range. If MS and updated analyst projections are even slightly right, SK Hynix’s operating profits for example would be ~$300B. They’ll be sitting on too much money by 2028 as a cushion if memory prices drops. (and not even considering demand becomes structural). Looks to be another DeepSeek-Nvidia type fear selling situation, especially as nand/dram prices get hiked again recently. More of a question of timing the bottom. It’s times like these logic matter more than irrational headline selling.
Fun Trade Idea: Long $RPI (Raspberry Pi) Reason: 🦞 Openclaw / Picoclaw / Nanobot + Hoarding. Everyone has been openly hoarding Apple Mac Minis and were long Apple. But $APPL is already a $3.7T+ company. Product mass-buying won't make a dent. Raspberry Pi, however, is a 542.68M company. The revenue is material. Feels like markets haven't priced this in since I've seen almost 0 mentions about the ticker on X (but many product mentions). And it's only recently that have the hoarding started Raspberry Pis, as they're much cheaper than $500+ Apple products. They also have their mini $NVDA CUDA-light utility ecosystem that people use. So it turns out these extremely cheap $20 or $200 devices are perfect for deploying mass deploying isolated instances. The reason is for OpenClaw orchestration (so they don’t mess up your device) -> interfacing with a central LLM via API. Before people were just buying 1 or 2 for hobby/education purposes, so revenue has slowing. But now Silicon Valley startups and individuals anecdotally appear to be buying tens or hundreds of these things to run concurrent OpenClaw agentic swarms or do stuff like agentic marketing on Reddit and other places. And no, there are many applications that can't be done by spinning up AWS VPS, so people do it locally (there's TOS around automation/AI bots, so companies setup their own servers). That being said main downside risk is that its - partially foundation owned, and they might not hike rates like $SNDK or $MU does, even if there's extreme demand - Subject to memory price hikes like LPDDR4 component so this is not a major position. However, going forward, revenue should increase due to people buying tens or hundreds of these things for running AI agents. Balance sheet also looks clean with low downside risk: - ~$280M - $300M revenue - ~$75M+ Gross Profit - ~25% Gross Margin - Net income: ~$10M - $15M - Net Cash: $28M Analysts currently project revenue growth closer to 14–17%. But if the demand influx continues, we might see revenue numbers might hit increase from 14% growth to a modest 48-55% if hoarding continues. Consumer segments are roughly 1/3rd of revenue but the newfound buying from Openclaw + variants is a new cataylst nevertheless for re-rating. Especially now that Picoclaw and compressed OpenClaw variants are now able to be run on $20 Raspberry Pis instead of just the Raspberry Pi 5’s. But seems like people just forgot Raspberry PI was a publicly stock as well. The stock price is down 56% 1Y to 542.68M euro MC to an all time low. So this might be that tailwind for a reversal. There's also a non-zero chance OpenClaw is a long term catalyst for Raspberry Pi based, agentic deployments. TLDR: People are openly buying Raspberry Pis and Apple Mac Minis for Openclaw/Picoclaw, so revenue should benefit from increased demand.
RT @charaninvests: NAND giants like Samsung, SK Hynix, $MU, and $WDC via the Kioxia JV got crushed in the 2022 to 2023 downturn. Prices collapsed nearly 70 percent and the industry was forced into roughly 40 percent capex cuts. That pain permanently changed behavior. Now AI is driving more than 50 percent annual NAND demand growth in data centers. The industry has shifted from chasing volume to enforcing price discipline. There is no incentive to overbuild and destroy margins again. Supply stays tight because new fabs take years to matter. Projects like Micron Boise and SK Yongin will not meaningfully impact capacity until 2028 at the earliest. Meanwhile hyperscalers are locked into long term agreements through 2029 securing allocation at premium pricing with projected margins in the 65 to 70 percent range. This is not greed. It is strategy. Prioritizing profitability over volume creates sustained undersupply and turns NAND into a margin fortress for the next several years. The numbers already confirm it. $WDC NAND revenue up 94 percent year over year with margins at 52 percent and rising. $MU showing over 60 percent growth while also owning the HBM angle for AI. AI makes this a structural multi year shift. Long $MU $SNDK
BULLISH $MU $SNDK
NAND giants like Samsung, SK Hynix, $MU, and $WDC via the Kioxia JV got crushed in the 2022 to 2023 downturn. Prices collapsed nearly 70 percent and the industry was forced into roughly 40 percent capex cuts. That pain permanently changed behavior. Now AI is driving more than 50 percent annual NAND demand growth in data centers. The industry has shifted from chasing volume to enforcing price discipline. There is no incentive to overbuild and destroy margins again. Supply stays tight because new fabs take years to matter. Projects like Micron Boise and SK Yongin will not meaningfully impact capacity until 2028 at the earliest. Meanwhile hyperscalers are locked into long term agreements through 2029 securing allocation at premium pricing with projected margins in the 65 to 70 percent range. This is not greed. It is strategy. Prioritizing profitability over volume creates sustained undersupply and turns NAND into a margin fortress for the next several years. The numbers already confirm it. $WDC NAND revenue up 94 percent year over year with margins at 52 percent and rising. $MU showing over 60 percent growth while also owning the HBM angle for AI. AI makes this a structural multi year shift. Long $MU $SNDK
Can all the $SNDK short sellers at $500 come out now? I know there were a bunch on X Sandisk ER Reported Q3 guide: - Sales $4.6B vs. est $2.9B - EPS $13.00 vs. est $4.21 (lol this is why) https://t.co/QE1Mc57HRx
Looks like markets are starting to find out about $VPG. This is my top robotics sector stock. And reminds me of $SNDK at $30 before current memory rally to $470. Or $SMCI at $1.3 before the AI buildout rally to $100. This may be the inflection point for robotics humanoids. https://t.co/POgwnIJyu8
Over the next three years, NAND companies are basically going to be printing money. Just look at these insane gross margins. $SNDK $MU https://t.co/aGz3aW28io