Calcus Cal

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Calcus Cal

Calcus Cal

@CalcusCal

PhD student in Physics/MatSci | Trader/Investor for 3+ years | Views are my own and for education purpose ONLY, NOT FINANCIAL ADVISE | DO YOUR OWN RESEARCH!

Canada Entrou em Temmuz 2014
42 Seguindo121 Seguidores
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Calcus Cal
Calcus Cal@CalcusCal·
…FLR at 38, COHU at 19, PDFS at 24.5, OSS at 5, IRDM at 17 and so on. Finding thematic opportunities via unrecognized bottlenecks combined with technicals & fundamentals, and you’ll have a winning strategy and knowledge about the world that people around you haven’t even thought
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Calcus Cal
Calcus Cal@CalcusCal·
@StockMKTNewz Crazy to see a thesis play out this well. I held this stock in the entirety end of 2024-2025 chop. Considered selling it multiple times. Still haven’t sold a share.
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Evan
Evan@StockMKTNewz·
JUST IN: Micron $MU just crossed over a $1 Trillion market cap for the FIRST TIME EVER
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Calcus Cal
Calcus Cal@CalcusCal·
@pennycheck Till they find a new theme and say how they’re serving that end-market too. Then dilute the shareholders lol. $POET is following the same strat as lot of these furus on X.
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🐧@pennycheck·
POET trash down 10% in a high beta froth filled fomo tape is the tell the party is over for poet kids
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Calcus Cal
Calcus Cal@CalcusCal·
Euphoria is real here, market tends to punish those that don’t understand what they own and just chase. Be the person that plants seeds so you can see them grow on days like today, instead of a chicken with its head cut off chasing anything that gaps up. Just my 2c, not financial advice.
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Shay Boloor
Shay Boloor@StockSavvyShay·
NASDAQ 100 JUST CROSSED 30,000 FOR THE FIRST TIME EVER
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Calcus Cal
Calcus Cal@CalcusCal·
$SPY $QQQ Let me start by saying I’m not bearish on the market. I do think that we’re in a bit of euphoria here. Lot of stocks are gapping up today by having some sort of proxy to the AI infrastructure, semiconductor or humanoids. During a bull run, there are many days like the one we saw last week, where market will punish chasers. My job towards my portfolio is to research what you own and then own it with conviction for the foreseeable future. They don’t all work, but I’m never gonna own something I don’t understand, and that’s what allows me to hold through volatility and get these “multi-baggers”.
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Calcus Cal
Calcus Cal@CalcusCal·
@StockSavvyShay Inference is the natural next step of this AI trade. I don’t think enough people have exposure here. This past month my portfolio has grown mainly from this inference and some datacenter power infrastructure.
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Shay Boloor
Shay Boloor@StockSavvyShay·
$QCOM reportedly struck a deal to supply ByteDance with AI-focused ASICs potentially making TikTok’s parent one of Qualcomm’s first major AI infrastructure customers. The deal would move Qualcomm beyond smartphones and into AI agent compute.
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Calcus Cal
Calcus Cal@CalcusCal·
$SHMD breaking out now imo, up 10% today 👀
Calcus Cal@CalcusCal

$MU $TSM $SHMD $ASML The capital intensity required to manufacture High-Bandwidth Memory (HBM) and next-generation interconnect architectures has exceeded the limits of traditional semiconductor capex cycle. CSPs can no longer rely on open-market merchant silicon. They’re actively transitioning into shadow project financiers. By directly funding the physical expansion of memory fabs, hyperscalers de-risk the capex cycle for IDMs but permanently tether the foundry supply chain to their proprietary data center architectures, fundamentally altering the semiconductor capacity planning industry. If you track the supply chain, you’ll see that the big hyperscalers are offering to directly bankroll SK Hynix capacity expansions, converging with TSMC formalizing its 2026 capex guidance at the top-end $56 billion range to meet AI interconnect demands. I think WFE giants like $ASML and $AMAT receive a revenue floor as fab equipment is effectively underwritten by trillion-dollar tech balance sheets rather than cyclical memory pricing, which makes them very interesting to me personally. $SHMD is one my favorite exposure to this. Memory IDMs receive massive off-balance-sheet capital relief, shifting execution risk away from their equity holders. Conversely, hyperscalers must absorb severe capital intensity and depreciation on their own balance sheets, guaranteeing structurally higher COGS for future compute instances.

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Calcus Cal
Calcus Cal@CalcusCal·
$SEDG up 12% today, making big moves 🥳
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Calcus Cal
Calcus Cal@CalcusCal·
$BLDP red to green 👀
Calcus Cal@CalcusCal

$BLDP $PLUG $BE $EQIX The U.S. power grid infrastructure is aging and has been exhausted, forcing hyperscalers into behind-the-meter power generation. However, deploying massive gas turbines introduces secondary bottlenecks: severe EPA air quality permitting delays and community opposition. Solid oxide fuel cells bypass both the electrical grid interconnection queue and the most stringent emissions permitting. Furthermore, infrastructure private equity is now decoupling the financing of the Bring Your Own Power (BYOP) asset from the data center itself, creating a standalone project finance market for off-grid power generation. Disclosures from the IMN Data Centers Private Equity conference confirm that grid interconnections are structurally delayed up to four years, coinciding with Oracle officially dropping the gas-turbine plan for its massive Project Jupiter in favor of Bloom Energy fuel cells. This imo creates a structural demand for fuel cell OEMs that capture non-cancellable BYOP mandates from hyperscalers desperate to energize gigawatt-scale sites. Midstream natural gas pipeline operators would also benefit here as they'll be needed to supply a steady baseload fuel to these large off-grid fuel cell deployments. Going forward I think hyperscalers face permanent operating expense inflation to fuel these microgrids, but they effectively buy speed-to-market. Securing power without a four-year grid delay allows them to recognize software/compute revenue quicker, expanding their overall margins despite paying a premium for power.

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Calcus Cal
Calcus Cal@CalcusCal·
$NOVT has been one of my favorite robotics play. The weekly structure looks much better after forming a solid base since 2021. My cost basis is around $112, but I wouldn't mind upsizing this one. Things get much more interesting above $191 imo. Not Financial Advise!
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Calcus Cal
Calcus Cal@CalcusCal·
$MP is becoming increasingly important imo with how much of a bottleneck rare earths are in the supply chain of most of important themes in the market.
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Calcus Cal
Calcus Cal@CalcusCal·
$MU $TSM $SHMD $ASML The capital intensity required to manufacture High-Bandwidth Memory (HBM) and next-generation interconnect architectures has exceeded the limits of traditional semiconductor capex cycle. CSPs can no longer rely on open-market merchant silicon. They’re actively transitioning into shadow project financiers. By directly funding the physical expansion of memory fabs, hyperscalers de-risk the capex cycle for IDMs but permanently tether the foundry supply chain to their proprietary data center architectures, fundamentally altering the semiconductor capacity planning industry. If you track the supply chain, you’ll see that the big hyperscalers are offering to directly bankroll SK Hynix capacity expansions, converging with TSMC formalizing its 2026 capex guidance at the top-end $56 billion range to meet AI interconnect demands. I think WFE giants like $ASML and $AMAT receive a revenue floor as fab equipment is effectively underwritten by trillion-dollar tech balance sheets rather than cyclical memory pricing, which makes them very interesting to me personally. $SHMD is one my favorite exposure to this. Memory IDMs receive massive off-balance-sheet capital relief, shifting execution risk away from their equity holders. Conversely, hyperscalers must absorb severe capital intensity and depreciation on their own balance sheets, guaranteeing structurally higher COGS for future compute instances.
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Calcus Cal
Calcus Cal@CalcusCal·
@StockSavvyShay Good time to IPO. These companies know their timing and thematic relevance.
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Shay Boloor
Shay Boloor@StockSavvyShay·
Quantinuum seeks up to $1.05B in what could be the largest quantum IPO to date. Its differentiator is a full-stack quantum model spanning both hardware and software.
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Calcus Cal
Calcus Cal@CalcusCal·
$TKR $OSS $AMBA $VPG $CRNC $GFS $INFQ $FIVN $BLDP $AMRC Positions that have significantly went up in weighting in my portfolio so far are all related to Inference, Edge computing and Robotics supply chain. I started posting here consistently a week ago and in that time many tickers I discussed with fundamental and thematic research behind them are now up double digits. There is much more to come 👀👀 If you get value from the research I provide, please considering following and sharing. Let’s all grow together
GIF
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Dr Vinnie Boombatz
Dr Vinnie Boombatz@halfblindmonkey·
UBS raising $MU pt to... $1,625
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Calcus Cal
Calcus Cal@CalcusCal·
@FirstSquawk Why is this surprising or a huge headline. I thought this was already true lol
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First Squawk
First Squawk@FirstSquawk·
TAIWAN, WITH A POPULATION OF JUST 23 MILLION, HAS SURPASSED INDIA TO BECOME THE WORLD’S 5TH LARGEST STOCK MARKET — DRIVEN LARGELY BY THE GLOBAL AI AND SEMICONDUCTOR BOOM.
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Paradis Labs
Paradis Labs@ParadisLabs·
Memory Companies Forward P/E Estimates [May 2026]: Sandisk ( $SNDK ): ~22.9x [2026] ~7.4x [2027] Micron ( $MU ): ~12.9x [2026] ~7.5x [2027] SK hynix: ~6.9x [2026] ~5.5x [2027] Samsung Electronics: ~6.8x [2026] ~5.0x [2027] Data sources: Sandisk: Bernstein (1 May) Micron: BofA (13 May) SK Hynix & Samsung: JP Morgan (18 May) LTAs extending through to 2030 from hyperscalers have effectively transformed memory companies to have predictable SaaS-style revenue streams. A paradigm shift to reliable earnings where suppliers hold all the pricing power. Yet forward P/E multiples remain paradoxically compressed.
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