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Getting a few Qs on the ethereum:0x57e114b691db790c35207b2e685d4a43181e6061 thesis - rehashing the below but adding:
-I’m bullish stablecoins of all kinds - GENIUS-compliant or not. It’s a superior product than paper fiat and bank deposits in many use cases. It only accounts for $5-16T of adjusted transactions today. Credit cards are $35-40T, ACH is $100T. A lot more room to grow.
- $USDe is a superior product than many peers. It’s not GENIUS-compliant and that’s ok. It was never a competitor to $USDC. But for a meaningful amount of low-velocity users on @trondao it is superior to ethereum:0xdac17f958d2ee523a2206206994597c13d831ec7 and it just got added to the network. Multi-billion opportunity.
-@gdog97_ was always a Mt Rushmore figure in the current iteration of crypto next to @chameleon_jeff @PaulFrambot etc. but he didn’t really embrace the right tokenomics until the 90% sell-off post-10/10. The recent restructurings indicate he gets it. So now the product AND the token are both excellent.
-people underestimate exponential call options like Ethena pay, Robinhood chain, Tron, etc. you just need one to hit. P(hit) = 1 - (1-C1) * (1-C2)… * (1-Cn). Again we just need one.
Overall the story of $ENA is one of humans under appreciating the integral of exponential functions and the structural discount in “phoenix” comeback stories. This is it.
Let's spell out the ethereum:0x57e114b691db790c35207b2e685d4a43181e6061 and $USDE thesis very simply
Following the fee switch vote, the only thing that matters for ethereum:0x57e114b691db790c35207b2e685d4a43181e6061 economics is USDE circulation, which is a function of distribution and adoption
Market cap has gone up $500M in a month and has been adding $20-$40M daily through the weekends
Underlying yield is boosted by greater funding rate arb in crypto and soon to take a stepwise jump when the rumored @tradexyz equity perp funding rate arb partnership kicks in
@RobinhoodCrypto Chain added $320M in 2 months. Just getting started.
Haven't seen any uplift yet from @EthenaPay but of course that's forthcoming too
Every trend says $7.5B is much, much closer than market gives credit for, and of course current valuations give zero value for any of the $10B+ ratchet-ups
And you get all this at a 40%+ effective discount by owning the DAT $USDC which most people don't even know is in existence
Yeah, we're running $PURR back all over again
CC: @tedchenCPC @gdog97_
Daily reminder that $CRWV implied vol is like 100% so daily expected move is 6%
Any move within that 12% band is not high information
When this chick takes a break from interviewing billionaires to talk about something in crisis
You know it's over
$CRWV
To all the geopolitical experts reading the same headlines out of Iran
The world has changed
The 3 most powerful people - Trump Xi Putin - whether you like them or not - are working together now
Problems around the world will go away
This is how history has always worked
🇺🇸🇺🇦🇳🇴🇫🇮A U.S. official said the talks President Trump’s Steve Witkoff and Jared Kushner held today with President Zelensky and the leaders of Norway and Finland were "very productive and constructive”
🇺🇸🇺🇦The U.S. official said Ukraine "brought forward new ideas and proposals, which were discussed in detail” and claimed the parties made "meaningful progress in aligning on a coordinated approach to engaging Russia and advancing the diplomatic process”
🇺🇸🇺🇦🇪🇺The U.S. official said there is now "strong alignment at the working level” between the U.S., Ukraine, and Europe on the next steps and there is "a shared commitment to finding practical solutions to end the war”
🇺🇸🇺🇦🇷🇺The discussions on Tuesday in Oslo covered the elements of a comprehensive peace framework, including long-term security guarantees for Ukraine, a post-war economic and prosperity plan, and a "broader European security architecture designed to create lasting stability”.
🇺🇸🇷🇺Witkoff will meet with President Putin tomorrow, with Jared Kushner participating virtually, the U.S. official said.
🇺🇸🇷🇺🇺🇦The U.S. official said: "The goal is to build on the progress made with Ukraine and Europe, discuss the proposals with Russia, and create a pathway toward direct trilateral and broader multilateral negotiations”
This market has somehow turned $WULF, $GLXY, $DGXX all into 3x, 4x, and 8x opportunities with this uneducated selling wave
I predict $META beat - look at what $SPCX with Grok Bot!
All of this simply goes back to one simple fact which is the vast majority of people, including "financial professionals", are deeply uneducated on AI
Because they resist using the technology at its frontier
Dooming themselves to always live in the past
And miss
I've concluded that the main disconnect in the market on neoclouds, especially with high optical leverage like $CRWV, stems from a lack of understanding of DDTLs (deferred draw term loans)
A simple diagram below for our visual learners
In summary: if you haven't studied the capital structure deeply you are (1) overestimating interest payments, (2) overestimating out-year net debt, and (3) underestimating built-in optionality to defer taking on liabilities if compute conditions are not favorable.
You are also not taking into account the ability for revenue/pricing to be hiked given the crunch in compute because you didn't read the hyperscaler agreements where this call option is built-in.
Hence you are modeling not only the worst case but a case worse than the worst case and letting price action confirm your superficial understanding of the situation.
$CRWV is not my favorite expression on AI/compute ($WULF is the one) but it has the most reflexivity to the upside precisely because of how byzantine the financial structure is.
The equity will rip new assholes in the next few days and that's the short-term trade.
Good luck to all
We got one of the greatest tradfi journalists and podcast hosts fully hyperliquid:native pilled!
Hyperliquid
Replying to @TheStalwart
Blockchain aside. One thing I feel pretty strongly about is that if you're a markets person, you should probably invest a little bit of time thinking about perpetuals, and how they work. Anyway, Sub to the newsletter here. bloomberg.com/account/newsle…
I've concluded that the main disconnect in the market on neoclouds, especially with high optical leverage like $CRWV, stems from a lack of understanding of DDTLs (deferred draw term loans)
A simple diagram below for our visual learners
In summary: if you haven't studied the capital structure deeply you are (1) overestimating interest payments, (2) overestimating out-year net debt, and (3) underestimating built-in optionality to defer taking on liabilities if compute conditions are not favorable.
You are also not taking into account the ability for revenue/pricing to be hiked given the crunch in compute because you didn't read the hyperscaler agreements where this call option is built-in.
Hence you are modeling not only the worst case but a case worse than the worst case and letting price action confirm your superficial understanding of the situation.
$CRWV is not my favorite expression on AI/compute ($WULF is the one) but it has the most reflexivity to the upside precisely because of how byzantine the financial structure is.
The equity will rip new assholes in the next few days and that's the short-term trade.
Good luck to all
Ya'll lot really like this octogenarian white bread mf with the job title "chief forecaster" at a dying dinosaur AI loser shitco $IT scare you out of a generational trade and the only exit door from the permanent underglass
ngmi
cnbc.com/2026/10/19/gartner-…
“At the moment, we have more compute capacity than we have demand [...]”
Ok @Gartner_inc, this is nonsense. We are *massively* compute constrained. Our portfolio companies are struggling to find capacity.
Full article here: cnbc.com/2026/10/19/gartner-…
I've concluded that the main disconnect in the market on neoclouds, especially with high optical leverage like $CRWV, stems from a lack of understanding of DDTLs (deferred draw term loans)
A simple diagram below for our visual learners
In summary: if you haven't studied the capital structure deeply you are (1) overestimating interest payments, (2) overestimating out-year net debt, and (3) underestimating built-in optionality to defer taking on liabilities if compute conditions are not favorable.
You are also not taking into account the ability for revenue/pricing to be hiked given the crunch in compute because you didn't read the hyperscaler agreements where this call option is built-in.
Hence you are modeling not only the worst case but a case worse than the worst case and letting price action confirm your superficial understanding of the situation.
$CRWV is not my favorite expression on AI/compute ($WULF is the one) but it has the most reflexivity to the upside precisely because of how byzantine the financial structure is.
The equity will rip new assholes in the next few days and that's the short-term trade.
Good luck to all
I'm not sure what happened but I do know Bitcoin is always the liquidity canary
Guessing most likely we are about to get a credible ceasefire after Qatar/Pakistan visit, but mainly because Putin/Xi finally got involved in exchange for something in Ukraine...
$WIX might be next
“…At the moment we have more refining capacity than we have demand” - retarded analyst short refiners before Ukraine and Iran wars
🤡
“.. At the moment, we have more compute capacity than we have demand, and we have a lot of the tokens and processing power being given away in freemium solutions,” he told @CNBC. “Everyone in the AI race is running for a last-man standing position.”
cnbc.com/2026/10/19/gartner-…
Sigh I can’t get bearish until the bears do analysis as right as the bulls do
This is a very good example of a thoughtful CoreWeave analysis that leads to a pessimistic conclusion. I do believe many serious investors must be following a similar logic, but it has important gaps that are worth expanding on, and when doing so, the picture changes quite a bit
First of all, and most importantly, it treats $CRWV financing structure as essentially static, when it’s clearly not
Scheduled principal amortization isn’t equivalent to an unavoidable cash drain. CoreWeave has multiple refinancing channels, including OEM financing, GPU-backed DDTLs and increasingly sophisticated investment grade, non-recourse structures backed by specific customer contracts. The $8.5B DDTL 4.0 is a particularly relevant precedent. Ignoring the ability to refinance or replace maturing obligations materially exaggerates the liquidity gap
Second, interest is being double-counted. Cash interest is already reflected in operating cash flow and therefore FCF. Adding another $2B/$4B of interest to negative FCF overstates the funding requirement. And interest expense isn’t necessarily the same as cash interest paid
Similarly, the capex analysis conflates reported capital investment with actual cash expenditure. In H1 2026, CoreWeave spent $14.1B in cash on PP&E, not $17.1B. And again, OEM financing, equipment payables and payment timing matter enormously here
Finally, the analysis ignores the self-amortizing nature of much of the asset-backed debt. Existing GPU clusters generate contracted cash flows that progressively repay their own financing, while mature cohorts can eventually release cash to fund new deployments
You cannot model a highly structured, asset-backed financing business by extrapolating negative FCF, adding scheduled debt repayments, and effectively assuming refinancing markets are closed
The relevant question is how much residual capital CoreWeave needs after secured financing, OEM arrangements, customer prepayments and cash generated by existing deployments
That’s a much more nuanced (and considerably less apocalyptic) picture than the one presented here
























