Markets
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Luke Kawa

AppLovin surges as the ad tech company prepares Q4 “bazooka” in what CEO says will be “a fun quarter”

AppLovin, which initially failed to impress traders with a revenue beat and better-than-expected Q3 sales guidance, is now on fire, up double digits as of 10:50 a.m. ET.

And that’s in large part because CEO Adam Foroughi said the real “fun” starts in Q4, when the company will open its self-service ad portal on a referral basis to onboard new advertisers and boost its footprint in areas outside of gaming, with a full-scale launch planned for the first half of 2026.

Here’s what Foroughi said (emphasis added):

“We think our advertisers are going to cause an onboarding moment that’ll be multiples bigger than what we were manually curating. Now it’s not necessarily true that we’re going to take our queue that’s built over the last year and just say, everyone, you’re in.

They’re still going to have to get invited to get into the platform. So it will be still curated onboarding. The reality is, Q4 is going to end up being a fun quarter. You’ve got the advertiser cohort that we didn’t have last Q4 that was growing in the quarter to the point where we reported huge numbers and then had huge numbers in Q1, but we’re going to have those advertisers primed and ready to go for the full Q4.

We’re going to have those advertisers inviting their friends onto our platform in Q4, and we’re going to be opening up international all at the same time. So there’s going to be a lot of fun moments, moments for us and our customers in this e-commerce or web-based category that’ll set sort of a new baseline for that business. And then obviously, then we will go through hopefully another inflection when we really truly open up the platform and try to get into a state where we’re more stable long-term.”

Morgan Stanley analyst Matthew Cost boosted his price target on the stock to $480 from $460. “We are fundamentally bullish on the self-serve initiative, which the company made clear will simplify onboarding and workflows, widen the funnel of non-gaming advertisers, open the product to international markets, and put the infrastructure in place to allow AI-generated ads and agentic support over time,” he wrote.

Bank of America analyst Omar Dessouky described the messaging around this catalyst as AppLovin loading a fourth-quarter “bazooka.” However, he also lowered his expected multiple for the company while keeping the price target unchanged thanks to a big boost to earnings estimates, citing “execution risk” associated with this launch.

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markets
Luke Kawa

US stocks just suffered one of their most stunning reversals in 32 years

Only four times in the more than 32-year history of the SPDR S&P 500 ETF has the fund opened at least 1.5% higher only to end the session down 1.5% or more.

And one of those days was today, with early enthusiasm over Nvidia’s strong earnings report turning into a wave of selling as speculative assets, chief among them bitcoin, cratered and dragged everything down with them. The S&P 500’s winners in particular saw heavy selling. Among the 15 stocks in the index that are up at least 70% year to date, the average performance on Thursday was down 5.6%.

The other occasions where US stocks have suffered such a violent turnabout:

April 8 of this year (the bottom, year to date!), when the White House said tariffs on China were going up to above 100%, kneecapping a nascent bounce-back attempt after a 10% drubbing in the three days after the Rose Garden tariff announcements. President Donald Trump would go on to announce that he was slashing reciprocal tariffs for 90 days the following session.

And the other two such instances both occurred in October 2008 (on the 7th and the 9th), as the fallout from the unfolding financial crisis was spreading after the prior month’s collapse of Lehman Brothers and the VIX Index, Wall Street’s so-called “fear gauge,” was routinely above 50, making immense volatility par for the course.

Tasha Matsumoto
5h
Stocks sink as strong Nvidia earnings fail to ease Wall Street’s AI anxiety

The S&P 500, Nasdaq 100, and Russell 2000 all fell, with tech leading the sell-off.

Chicago Bears wide receiver Trent Taylor (15) fumbles a punt during the first quarter of the National Football League game between the Chicago Bears and Cleveland Browns
markets
Matt Phillips

Insurance against Oracle default becomes favorite AI-bust hedge, Bloomberg reports

Volume in the market for credit default swaps — essentially a kind of insurance against a company defaulting on its debts — on Oracle is surging as the company has supercharged its borrowing to finance its AI ambitions, Bloomberg’s Caleb Mutua reports:

“The price to protect against the company defaulting on its debt for five years tripled in recent months to as high as about 1.11 percentage point a year on Wednesday, or around $111,000 for every $10 million of principal protected, according to ICE Data Services.

As AI skeptics rushed in, trading volume on the company’s CDS ballooned to about $5 billion over the seven weeks ended Nov. 14, according to Barclays Plc credit strategist Jigar Patel. That’s up from a little more than $200 million in the same period last year.”

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A Hedge Against AI Crash Emerges as Oracle CDS Market Explodes

A Hedge Against AI Crash Emerges as Oracle CDS Market Explodes

“The price to protect against the company defaulting on its debt for five years tripled in recent months to as high as about 1.11 percentage point a year on Wednesday, or around $111,000 for every $10 million of principal protected, according to ICE Data Services.

As AI skeptics rushed in, trading volume on the company’s CDS ballooned to about $5 billion over the seven weeks ended Nov. 14, according to Barclays Plc credit strategist Jigar Patel. That’s up from a little more than $200 million in the same period last year.”

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Vince Carter

Nvidia dunks on the doubters

CEO Jensen Huang and CFO Colette Kress dismantled most of the recent arguments and bear cases put forward by their naysayers.

Luke Kawa9h
markets
Matt Phillips

Cipher Mining surges on additional AI hosting deal

Bitcoin miner turned AI compute power provider Cipher Mining jumped early Thursday after announcing a deal that fully leases its Barber Lake data center in Colorado City, Texas.

The deal — which is also giving a lift to IREN, another miner turned compute provider — is an expansion of a previous agreement with Fluidstack, a UK-based provider of GPU-based cloud networks. The new deal amounts to roughly $830 million in additional revenue over 10 years, Cipher says.

The market clearly loves it. But it’s worth pointing out that this agreement is a pretty good example of the byzantine financial structures that are increasingly accompanying plans for many billions of dollars of spending on the AI boom.

For example, Cipher also announced Thursday that it would be borrowing $333 million to finance an expansion of that Barber Lake data center through a private placement of debt.

That offering will be secured, in part, by the warrants Google received to purchase Cipher common stock worth roughly 5.4% of the company. (Those warrants, by the way, look a lot more valuable today, with Cipher mining up double digits.) Google is also backstopping Fluidstack’s borrowing plans to finance its build-out to the tune of $1.4 billion.

For now, this makes financial sense. Alphabet — one of the most successful companies on the planet — needs the computing power to compete in the AI race. And the quickest way to get that capacity is to essentially cosign leases for the smaller companies taking the lead in that build-out, thereby lowering development costs and helping to bring projects into existence.

But in this deal alone, things get awfully complicated awfully quickly, as Alphabet is essentially the prime customer of, an important debt guarantor for, and potentially a significant owner in Cipher Mining, once it transfers the warrants into an ownership stake of more than 5%.

This isn’t, on its face, a terrible thing. There are precedents for circular funding relationships in industries like aerospace, as it developed from the 1920s to the 1950s.

But financial complexity does have a history of essentially hiding the level and locus of financial risks a system is building up, essentially during periods of heady optimism.

Cipher Mining Signs Additional 56 MW, 10-Year AI Hosting Agreement with Fluidstack

Cipher Mining Signs Additional 56 MW, 10-Year AI Hosting Agreement with Fluidstack

The market clearly loves it. But it’s worth pointing out that this agreement is a pretty good example of the byzantine financial structures that are increasingly accompanying plans for many billions of dollars of spending on the AI boom.

For example, Cipher also announced Thursday that it would be borrowing $333 million to finance an expansion of that Barber Lake data center through a private placement of debt.

That offering will be secured, in part, by the warrants Google received to purchase Cipher common stock worth roughly 5.4% of the company. (Those warrants, by the way, look a lot more valuable today, with Cipher mining up double digits.) Google is also backstopping Fluidstack’s borrowing plans to finance its build-out to the tune of $1.4 billion.

For now, this makes financial sense. Alphabet — one of the most successful companies on the planet — needs the computing power to compete in the AI race. And the quickest way to get that capacity is to essentially cosign leases for the smaller companies taking the lead in that build-out, thereby lowering development costs and helping to bring projects into existence.

But in this deal alone, things get awfully complicated awfully quickly, as Alphabet is essentially the prime customer of, an important debt guarantor for, and potentially a significant owner in Cipher Mining, once it transfers the warrants into an ownership stake of more than 5%.

This isn’t, on its face, a terrible thing. There are precedents for circular funding relationships in industries like aerospace, as it developed from the 1920s to the 1950s.

But financial complexity does have a history of essentially hiding the level and locus of financial risks a system is building up, essentially during periods of heady optimism.

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