Max Belfort

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Max Belfort

Max Belfort

@drbagholder

Mindset before money. Vision before results. Following greatness while building my own. Investing where growth begins🔥📈| $NAK | $HUMA | $BURU

United States Katılım Aralık 2020
135 Takip Edilen162 Takipçiler
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Sancet
Sancet@Million_Sancet·
Here is a list of 10 companies ranked from my most favorite to least favorite However, these are all companies that I would be thrilled to own Also, the potential I expect from each of them in 2026 You can find the thesis for all of them on my profile $SIVE x5 $AAOI x3 $LPKF x3 $IQE x4 $AEHR x3 $PENG x3 $SMOL x7 $MU x2 $SHT x5 $LWLG x3
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Pep Invest
Pep Invest@PepInvestStocks·
$SIVE $LPK $AAOI $IQE - This post is absolutely right in my opinion, and honestly I still think most investors don’t fully understand how early we are in this entire infrastructure cycle. This is not just another short-term AI trade driven by hype or momentum. We are witnessing the buildout of the next global compute architecture, and the market is still overwhelmingly focused on the most obvious layer of the stack: GPUs and headline AI names. What many people are missing is that AI is now starting to run into real physical scaling limits. Power consumption, thermals, signal degradation, bandwidth constraints, and memory bottlenecks are becoming some of the biggest challenges in scaling next-generation AI clusters. That is exactly why photonics and optical interconnects are becoming inevitable. Copper simply does not scale efficiently enough for what the industry is trying to build over the next decade. At 1.6T, 3.2T, and eventually even larger AI clusters, optical architectures stop being optional and become a necessity. That’s why companies like $NVDA, $AMD, hyperscalers, and networking giants are aggressively moving into co-packaged optics, optical interconnects, advanced packaging, and glass substrate technologies. The companies mentioned in the post are not random speculative names riding an AI narrative. They are positioned directly at some of the most critical chokepoints of the next compute transition. What makes this especially compelling is that these are not easily replaceable software businesses. These are hard infrastructure bottlenecks. If a company controls critical parts of the supply chain like CW lasers, epiwafers, InP substrates, optical packaging, or glass substrate manufacturing, then they are effectively controlling key layers required for AI scaling itself. That becomes strategically invaluable over time. I also completely agree with the point about vertical expansion potential. The market still values many of these companies like small component suppliers, but historically that’s exactly how companies like $LITE or even major semiconductor infrastructure players were viewed before the market realized how essential they had become. The real re-rating happens once investors understand that these firms are not just selling components anymore, they are becoming foundational infrastructure providers for the entire AI ecosystem. I think the point about $LPK is especially important because the significance of glass substrates is still massively underappreciated. This is not just a minor packaging upgrade. Glass substrates could become one of the defining packaging transitions of the next decade because they enable higher I/O density, improved thermals, larger package sizes, better HBM scaling, reduced warping, and more efficient chiplet architectures. All of those things become critical as AI systems continue scaling. If the company truly maintains a dominant equipment position in this market, then comparisons to $ASML honestly do not seem exaggerated. The same applies to $AAOI. I think the market still underestimates how strategically important sovereign Western optical supply chains could become over the next several years. The world is unlikely to remain permanently dependent on China for critical AI interconnect infrastructure, especially as geopolitical tensions continue increasing. “Made in America” optical manufacturing and vertically integrated supply chains could end up commanding enormous strategic value. And with $IQE, the upstream materials story is probably even more misunderstood. Materials companies always look boring until the entire industry realizes that nothing downstream can scale without them. We’ve already seen this happen with foundries, HBM memory, EUV, and advanced packaging. The market usually recognizes these bottlenecks years after institutional capital already positioned itself. To me, that’s the biggest takeaway from the entire post. These companies are not sitting at the edge of the AI boom. They are sitting directly inside the foundational infrastructure layer of the next compute paradigm. And because of that, I genuinely think there’s a strong possibility that many of these valuations will look absurdly cheap in hindsight three to five years from now.
Serenity@aleabitoreddit

When I see comments like this (and there are a lot) from retail investors: I immediately think they lack the technical depth. I'll walk through each one from $SIVE to $LPK: 1. Photonics TAM goes from $14B -> $154B In just two years time, and it's likely going to keep scaling past 2030 as it's the next generation architecture of choice. It's not going away in 1 year. It's not going away in 3 years, which is why $LITE premiums keep going higher since they're backlogged into 2028. $SIVE supplies CW lasers and is highly tethered to CPO and now pluggable transcivers for 1.6T and 3.2... For expected companies like $JBL, Ayar, Lightmatter, Lightelligence, $POET, $MRVL Celestial, and $AMD. This isn't a "trade", it's the core chokepoint and IP holder for the next generation of photonics. And it's a comfortable hold for the next few years as they scale to become the next $LITE. The risk I personally see (since they're already qualified with so many players), it's mainly how much TAM they can capture of the overall optical supercycle. (And potential risks with Win Semi volume ramp, but Win is massive so I can sleep tightly there). As just supplying lasers isn't enough to justify valuation. It's TAM expansion downward into making the entire ELS or entire pluggable transceiver that makes these laser companies so valuable. Then afterward, they can vertically integrating upward for gross margin expansion upward like $COHR into doing the laser fabs or even substrate level. And that in my view is a very asymmetric risk/reward ratio as we've already seen this done with $LITE as they went from $2B to $80B. 2. $LPK - Is the purest exposure, without the messy financials of SKC Absolics, as the next advanced packaging shift for glass substrates. Almost every single major semi company from $INTC to Samsung are adopting glass substrates. $LPK is basically $ASML of this chokepoint, since they supply to ~80% of the global players currently. Yes, there's "trade cycles" for equipment suppliers like $ASML, where if there's more foundry capex, ASML scales up. But if there's downturns, these tend to perform poorly, and don't capture all the volume ramp that happens after. However, if the MC is $650m and they're making $100-200M, revenue per costumer volume ramped, the amount they make from the glass substrate cycle will likely exceed current valuations. And they'll have baseline fundamentals (as more companies adopt the packaging shift), that keeps their valuation up. It's just a waiting game for volume ramp at this point. 3. $AAOI - This is literally $INTC but for America + Photonics. It's like saying Intel is not a long term investment. Guess where all your optical transcivers are made? China. Thailand. Malaysia. If you look at Innolight, Eoptolink, $FN, and others. AOI is building the largest Made in America supply chains for both CW laser fab, as well as 800g, 1.6T assembly. Yes, there are pluggable cycle ups and downs to this as well. There's going to be a wave for 1.6T next year, then CPO cannibalizes pluggables down the road. But since they make the entire supply chain in house, they have extreme optionality for other segments. And like $NVDA older gen-GPUs, there's going to be sovereign DC requirements for older gen pluggables from names like $AAOI. It's likely going to keep rising as it hits that $400m+/month revenue target H2 2026. There's just a lot of different short term volatility along the way like the $600m dilution. 4. $IQE - ??? It's one of the most important players in the Western word for epiwafers. $MTSI went out of their way to pay off IQE's debt because they can't have them going under. $IQE is also supplying to $LITE. The world is currently bottlenecked both on the epiwafer level from Landmark comments and InP substrate levels. Their financials were track but the raw book value, and value they hold to the entire Western supply chain... completely justifies their valuation. And other optical companies will not let their core upstream supply chain go under. As these tens of millions worth of materials would screw up tens of billions worth of downstream products. Again photonics is the next generation architecture required to scale AI. It's not Quantum where it's just "In development". It's literally here and the architecture of choice by $NVDA. I would not be surprised if all of these are a lot higher in 3-4 years time. People who think it's one and done in 3 months time "only because I mentioned it" don't know what they're talking about. Institutions would have bought up the name eventually (like Point 72 on $IQE) and retail would only find out after their valuations are 600% higher. Should really do the research before adding comments like these: These are all forward growth companies that require in-depth supply chain knowledge.

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Serenity
Serenity@aleabitoreddit·
So here's the napkin math I did on Nextronics (8147) when I went long. They're the $NVDA CPO supplier for CPO connectors and cage thermal modules. And I modeled around 2 FWD p/e for 2028, which is why I think risk-reward is very compelling for a potential 10x rerating to ~$2B+ MC in 2028. Just for their CPO exposure: -> CPO connector runs roughly $15 to $25 -> ELS thermal cages, maybe ~$50 from est. 18 units per switch: 18x50 = ~$900 CPO Connectors: 72 Optical Engines per switch 72 x $15 = $1,080 (If $NVDA scales their Spectrum-X switch, it goes to $1,920 for CPO connectors). Total Nextronics Content: ~$1,980 (rounded to $2k for calculations) in conservative case. Implied BOM % of rack: 0.08%. Maybe ~1.5% of switch. This looks microscopic to institutions so it probably is ignored. Is it material to Nextronics, a ~$200m company? Yes, absolute massive. For calculations: Applying 50% haircut to Nextronics' share of the Nvidia connector market/cage market because of multi-source. And I’m using GS projections, and assuming $AVGO, $MRVL, ASIC CPO ecosystem is 30% size of $NVDA. Net Income Margin: 22.4% (at 38% GM)- 24.0% (at 40% GM). But going off other projections from just, a rack shipments: 2026: CPO revenue ~10.1M, net income (22.4%) ~2.26M + $12.5M base = $14.7M (540k units for connectors, cage, 40K units, already divided by 50%) 2027: CPO revenue: ~$172M, net income (22.4%): ~$38.53M = $51.03M (~8M units for connectors, ~1.03M units for cage) 2028 scale up expansion: CPO revenue: $450m, net income: $100.93M, ~$11.3M base (~40M units for connectors, 2.98M unit for cages, eg. Nvidia ELS volume is 19.9M) So implied fwd p/e 15.4x for 2026, 4.45x for 2027, 2x for 2028. Of course at scale, blended margins might go down, there might be other players bringing market share down to like 25%, etc. and projections might be more or less than GS. But regardless seems highly asymmetrical even if I'm off by a whole 50%. 2028 is usually the massive re-rating for CPO players, 2026 is still really early. Hope my math is right, but 20x fwd p/e multiple would be $2.26B MC. Even if we drop: -> market share to just 15%. -> compress their net income margin down to 14%. -> connector ASP to $10. At a 20x multiple, the stock would still achieve a ~4.5x return to a $1B+ market cap. We'll see if this is right or not. (NFA, just speculative financial modeling)
Serenity tweet media
Xecv@Xecvvv

@aleabitoreddit It'd be great if you included your revenue models and projections whenever you share positions you enter. I know in the past you've said it's to simplify for retail, but easier to build conviction when we can see your reasoning and actual numbers (and allow us to double check).

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Max Belfort@drbagholder·
you buy the dip? $oust
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Max Belfort
Max Belfort@drbagholder·
@Million_Sancet Might be wishful thinking I haven’t opened a position in SIVE been painfully watching since $2.3 hoping we get mid $4s
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Sancet
Sancet@Million_Sancet·
If you're not buying today, what are you even doing? I don't even know how many buying opportunities opened up today I had to choose between the ones I like the most or the ones where the discount was already happening and widened even more today, like $AAOI or $SIVE Please tell me you're not selling
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Serenity
Serenity@aleabitoreddit·
Next year… I’m expecting there to be many articles about FAU + component bottlenecks. Especially as the new CPO architecture led by $NVDA + $TSM starts to scale. Then a lot of these names like FOCI (~$2.8B MC) or Nextronics (~$246M MC) that I’m mentioning today will be in the center of it. Despite many of these “commodity” labels… (just look at transformers/NAND) And I’ll do a “Did you listen anon post” like $AXTI. We’ll see if this is right.
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y@ysuckme·
Be hungry for a better life
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Max Belfort
Max Belfort@drbagholder·
I bet $peng moves green tomorrow
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y@ysuckme·
you too good for someone to be so unsure about you.
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Max Belfort retweetledi
Options selling with Christian
$QQQ futures down .2% - bears expecting a bloodbath this week Stocks I’m looking to buy the dip on this week if we get a dip: 🩸 $NOK below $13 $META below $580 $QCOM below $175 $IREN below $50 $AMZN below $250 $VG below $12 (sold all last week $13.9) $NBIS below $160 $AAOI below $140 $KRKNF below $5 $NOW below $40 $UAMY below $8 $USAR below $20 $NVDA below $200 $RKLB below $100
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Sancet
Sancet@Million_Sancet·
This is my current portfolio As I said, I wouldn't sell any positions And I’ve kept my word, the money for the new position in $PENG does not come from my existing investments At the moment, I don’t see better opportunities in the market than what is already in my portfolio At least not at these prices I have on my radar things like $KOPN $DGXX $SOI etc
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Sancet
Sancet@Million_Sancet·
I'm going to borrow this image because I think it looks spectacular Just so you can see my position in this photonics sector: Layer 1 - $IQE Layer 2 - $SIVE Layer 3 - $AAOI Layer 4 - $LPKF Layer 5 - $AEHR I don't hold this last one anymore, but I used to I'm looking forward to a good entry price to have all layers covered again with my winning horse out of all of them
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Bilaal- BD investing@bdinvestingg

Photonics value chain in 5 layers. The companies building AI’s optical backbone. $AXTI – Compound semiconductor substrates. Small, cyclical AI photonics supplier. $AAOI – Optical transceivers for AI data centers. High risk, high upside. $LITE – Diversified photonics. Stable, slower growth than AAOI. $ASML – Only maker of EUV lithography machines. Irreplaceable monopoly. $ONTO – Semiconductor inspection/metrology tools. Smaller KLAC alternative.

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Serenity
Serenity@aleabitoreddit·
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?
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Sam@Quantrarian52

Wait wait wait….. could Leopold be the infamous @aleabitoreddit ?

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Michael | Hypermarkets
Michael | Hypermarkets@itsmichaelluu·
20 stocks I'll add in this May/June 2026 $SPY crash. Remember, market always bounces back to all time highs. 1. $NVDA $225 Buy: $180–190 Prior breakout and massive institutional demand zone. 2. $MU $725 Buy: $500–$550 Strong support and AI memory demand acceleration zone. 3. $GOOG $392 Buy: $350–360 Historical accumulation zone and long-term AI infrastructure support. 4. $AAPL $300 Buy: $260–270 Major support with massive cash flow and buyback strength. 5. $IONQ 51 Buy: $25–38 Prior breakout zone with aggressive future growth potential. 6. $POET $16 Buy: $7–9 Early-stage AI photonics accumulation zone before mass adoption. 7. $DGXX $7 Buy: $3–3.50 Deep support zone with speculative AI infrastructure upside. 8. $MRAM $52 Buy: $14–15 Long-term semiconductor accumulation and breakout retest area. 9. $CIFR $20 Buy: $11–12 Oversold support with strong long-term cybersecurity demand potential. 10. $MSFT $42 Buy: $360–370 Major institutional support and AI cloud dominance zone. 11. $META $610 Buy: $530–540 Historical support and heavy AI monetization opportunity area. 12. $AMD $420 Buy: $340–350 Major support before next AI data center expansion cycle. 13. $INTC $107 Buy: $65–70 Multi-year support with asymmetric turnaround potential. 14. $ORCL $192 Buy: $140–150 Prior breakout zone with accelerating AI enterprise demand. 15. $QCOM $200 Buy: $150–160 Strong support with long-term edge AI opportunity. 16. $NOW $95 Buy: $80–85 Institutional demand zone and enterprise AI transformation support. 17. $ADBE $247 Buy: $224–235 Long-term support with massive AI productivity monetization potential. 18. $BE $42 Buy: $16–19 High-risk support zone with AI energy demand tailwinds. 19. $LITE $971 Buy: $600–650 Prior breakout zone and major AI infrastructure support. 20. $SNDK $1381 Buy: $800–900 Strong semiconductor support with rising AI storage demand. 21. $DRAM $50 Buy: $32–35 Early accumulation zone before broader AI infrastructure expansion. If the $SPY sells off under $700 towards $650 by the end of June, I'm interested in $SPY calls for $750 June 2027 calls. ♻️RESHARE this post and make 1 comment if you want $SPY contract less then $10 to buy so you can hold it through volatility.
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y
y@ysuckme·
no more one sided relationships and friendships
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y
y@ysuckme·
All motion is motion. Slow motion, fast motion. No matter the speed, just make sure you’re moving.
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