Calcus Cal
546 posts

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 Beigetreten Temmuz 2014
42 Folgt121 Follower
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@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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@pennycheck Till they find a new theme and say how they’re serving that end-market too. Then dilute the shareholders lol.
$POET is following the same strat as lot of these furus on X.
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$SPY $QQQ
Let me start by saying I’m not bearish on the market. I do think that we’re in a bit of euphoria here.
Lot of stocks are gapping up today by having some sort of proxy to the AI infrastructure, semiconductor or humanoids. During a bull run, there are many days like the one we saw last week, where market will punish chasers.
My job towards my portfolio is to research what you own and then own it with conviction for the foreseeable future. They don’t all work, but I’m never gonna own something I don’t understand, and that’s what allows me to hold through volatility and get these “multi-baggers”.
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@StockSavvyShay Inference is the natural next step of this AI trade. I don’t think enough people have exposure here. This past month my portfolio has grown mainly from this inference and some datacenter power infrastructure.
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$AMRC up over 15% today 🥳
Calcus Cal@CalcusCal
Great structure on $AMRC, imo. I wanted a pullback and got one today :)
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$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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@StockSavvyShay Good time to IPO. These companies know their timing and thematic relevance.
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$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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@FirstSquawk Why is this surprising or a huge headline. I thought this was already true lol
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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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