OptionsANIMAL (@optionsanimal) profile picture

Risk management. Helping individual investors learn how to recognize and control risk in their portfolio. #options #investing

Joined February 2009
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Big Tech is about to spend $1.58 TRILLION on SI in 2027. Morgan Stanley $MS just traced every dollar to the companies getting paid. The map is wild. Here's what's in it 🧵
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Houston, the Fed, and the Risks the Market Is Underpricing optionsanimal.substack.com/p…
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Apple’s Next Act: Strong Fundamentals, New Leadership and the AI Question. optionsanimal.substack.com/p…
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Looks like rate hikes are back on the menu!
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$NVDA just put up numbers that would have sounded absurd a few years ago: • Revenue: $96.2B, +106% YoY • Data Center: $89.0B, +117% • Operating income: $63.7B, +124% • Q3 guide: $108B (w/ nothing from China datacenters) Huang: “Now, compute is revenue.” The AI capex cycle isn’t slowing down. It’s getting bigger. ...and the stock drops
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The US Treasury yield curve in 3D — every trading day since 1990. Check it out. yieldcurve3d.com/#from=2007-…
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A detailed discussion of our deck chat about gold at Leen’s Lodge, which was conducted under the Chatham House Rule, with two exceptions — Eric Hale and me. A 10-minute read, Eric’s missive includes graphics. Eric accurately summarizes over an hour of very specific deck-chat data points that reflect what was discussed in the Chatham House Rule session. Participants in that deck chat are kept anonymous under the Chatham House Rule unless they decide to publicize their own perspectives. I will note that the total assets represented in that chat group were about a half trillion dollars. Many thanks to Eric for undertaking this effort to memorialize the deck chat. dkotok.substack.com/p/gold-l… #China #DigitalYuan #CIPS #GlobalPayments #DeDollarization #Gold #Geopolitics #InternationalFinance
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The Treasury Runs the Curve Wall Street is studying the wrong institution. For decades, traders lived by a simple rule: the Federal Reserve controls the short end; the bond market controls the long end. The Fed sets the price of overnight money. Investors set the price of 10- and 30-year capital. That world is gone. Scott Bessent’s decision to expand long-bond buybacks is not a plumbing exercise. It is forward guidance. The size of the initial purchases is irrelevant. The signal is everything: when long-term yields rise far enough to threaten housing, federal finances or market stability, the Treasury will intervene. Wall Street heard “liquidity support” and reached for its old spreadsheet. It counted billions, compared them with the stock of outstanding debt and declared the effect negligible. It missed the only number that mattered: the yield level at which Washington decided the market had gone too far. Markets do not trade only today’s purchase. They trade tomorrow’s regime. Long yields fell because investors understood that the Treasury has written a put beneath duration. It did not need to announce a 30-year target. It did not need to promise unlimited purchases. Its reaction function was enough. The old Wall Street catechism, that only the Fed can set financial conditions, has become a liability. The Fed controls the overnight rate. Treasury controls the supply, maturity, liquidity and increasingly the downside risk of the debt that the world uses to price duration. That power now matters more. America is carrying nearly $40 trillion in federal debt. Mortgage rates, corporate borrowing costs, infrastructure finance and the valuation of every long-lived asset depend not on the fed funds rate, but on the term premium embedded in the long end. Treasury issuance, buybacks and maturity management therefore shape monetary conditions more directly than another quarter-point move from the Federal Open Market Committee. Bessent understands this. His Genius Act strategy places the long end at the centre of policy. Stablecoins create a new source of demand for short-dated government paper. Buybacks reduce the market’s exposure to long-duration supply. Together, they reshape the curve: more demand at the front, less pressure at the back. Lewis Carroll’s Through the Looking-Glass is no longer a metaphor. It is a market manual. The Treasury has become an active manager of financial conditions; the Fed is no longer the only central bank that matters. Implicit, is the Fed moving to the background. Wall Street, still following a playbook from a vanished era, has missed the turn.
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The Treasury @thestreetpro The Treasury announcement is broadly being mis-interpreted as usual, due to hype from the usual suspects incl Fin Tv. It is just a twist, not money printing. Whatever they buy more of on the long end, they will have to issue on the short end to finance the purchases. And the dollars involved are limited. Anyway, this is not QE or money printing, only the Fed can do that.  Treasury has no authority or ability to print money. @guyadami @tomkeene @business
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Love Waller. Would have nice to have a Fed chair that doesn't speak Fed speak for once, but alas...
NEW: At dinner after day one of his first meeting as Fed chair, Kevin Warsh told his 18 colleagues he was launching five task forces to rethink how the Fed reads the economy. Chris Waller asked what the point was. Name who's on them, he said, and I'll tell you what they'll say.
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I absolutely despise the bears taking victory laps while mocking folks who rode the trends. The idea that they are somehow superior because they warned about this months ago is ridiculous. I suspect most of the bears are still underwater from their initial negative calls. @TheStreetPro
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They trade options now, may as well jump in. $SPCX #options #riskmanagement
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SpaceX's market cap crossed above $3 trillion today in after hours trading. That's higher than the market cap of Amazon ($2.65 trillion) & Microsoft ($2.97 trillion). Microsoft Sales: $318 billion Microsoft Net Income: $125 billion Amazon Sales: $743 billion Amazon Net Income: $91 billion SpaceX Sales: $19 billion SpaceX Net Income: -$9 billion
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The SpaceX IPO is Here—But Are You Buying a Rocket or an Overpriced AI Onion? open.substack.com/pub/option…
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Finance, Sales, Marketing, IT
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The risk free rate of return (interest rates) serves as the foundation for all equity valuation models. It is the discount rate used to value growth in profits, dividends, etc. Rates are rising. Today again. Not one person on Fin TV has mentioned the continued advance in interest rates as a reason to be cautious. I suppose there is now a new song by the Weather Girls called "Its raining bulls." Its going to be a big hit. Hallelujah... "Hi (hi!) We're your Weather Girls (uh-huh) And have we got news for you (you better listen) Get ready, all you lonely girls And leave those umbrellas at home (alright) Humidity is rising (hm, rising) Barometer's getting low (how low, girl?) According to all sources (what sources now?) Wall Street's the place to go (we better hurry up) 'Cause tonight for the first time (first time) Just about half-past ten (half-past ten) For the first time in history It's gonna start raining bulls (start raining bulls) It's raining bulls, hallelujah It's raining bulls, amen I'm gonna go out, I'm gonna let myself get Absolutely soaking wet It's raining bulls, hallelujah It's raining bulls, every specimen Ives, Wood, Lee and Belski Tall, blonde, dark and lean Rough and tough and strong and mean!" @TheJudgeCNBC @carlquintanilla @business @tomkeene @annmarie @peterboockvar @convertbond @guyadami @WhitneyTilson @gnoble79 @KeithMcCullough @HedgeyeDJ @dives @CathieDWood @fundstrat @ferrotv @lisaabramowicz1 @SquawkCNBC @andrewrsorkin @beckyquick @AlderLaneEggs @gnoble79 @CNBCFastMoney @HalftimeReport @cnbc @maddow @SRuhle
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This @HedgieMarkets post illustrates where the infinity scalable asset-light technology model meets the physical realities of an asset-heavy business that faces an upward sloping supply curve. We have long argued that AI compute is just another bit-atom commodity (like crypto) that uses a lot natural resources to create a valuable (unlike crypto) virtual asset. On the bit side, Big Tech is a price-maker with fat margins. On the atom side, a price-taker. Big Tech grew up in bits — search, social, e-commerce, office software: asset-light, infinitely scalable, natural monopolies. Build once, serve billions, watch costs fall every year. So they assume AI is the same game and will spend whatever it takes to own the market. But inference is also atoms, i.e. land, critical minerals and electrons, which are mostly molecules. In the commodity world, competition drives price to marginal cost: P = MC, which is upward sloping as volume rises. The better the models get, the faster they compete their own margins down to the physical floor which rises with volume. You can already see it. Microsoft just cancelled Claude Code because the cost to run it exceeded the value it returned — demand retreating the moment price met real cost. The irony: the customer pulling back was itself a hyperscaler. In April, Uber confirmed once again that AI compute demand is price elastic. Bottom line: they assumed AI costs would keep falling like they always did on the bit side; however, on the atom side, there is a hard floor that likely rises in the short run. I am not denying that the margins are still fat. But it’s not the same model. These guys are running towards obsolescing their own pricing power. Why did Rockefeller stop at the gas station and not vertically integrate into cars?
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗
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