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The recovery in US stocks is all thanks to the riskiest kinds of companies

Earnings variability, volatility, and trading activity rule the roost.

Luke Kawa

The massive recovery in US stocks since reciprocal tariffs were announced is as clear a sign as any that risk appetite is back.

But just how much have traders been willing to dump or embrace risk during the S&P 500’s descent from all-time highs and swift bounce back?

Factor portfolios are a useful way to track the tale of the tape in this regard, and Bloomberg has a hefty collection of US-specific long/short factor portfolios that group stocks based on certain attributes: value, momentum, profitability, earnings variability, size, and so on.

All of these portfolios are designed to be market neutral, meaning their price action shouldn’t be driven by what the overall stock market is doing, but rather the unique characteristics of each factor.

The initial leg downward in stocks from when the S&P 500 reached an all-time high on February 19 was, unquestionably, a momentum-centric downturn. Momentum cratered, and traders sought safety in companies that were cheap, profitable, or had good dividend yields. After March 10, momentum came roaring back and high-dividend stocks slumped (as longer-term US bond yields drifted higher, which tends to reduce the relative appeal of companies that pay back their shareholders in this manner).

But focusing on which factors have led since the S&P 500’s 2025 low on April 8 is a veritable who’s who of the riskiest types of stocks; high volatility, high trading activity, and earnings variability are the top three. That comports with what we know about retail traders flexing their muscles through this maelstrom, no doubt.

Some of the stocks that are longs in all three portfolios include Tesla, Strategy, Dell, and AppLovin.

Which raises the question: is it inherently risky when stocks like this are leading the market?

Well, during the current bull market (which we’ll still say we’re in until proven otherwise!), we have scant instances of these three factors all being atop the leaderboard for most of a two-week period. Once was in late 2023, which coincided with/was followed by a brief hiccup for the overall market before the S&P 500 roared in the first quarter of the next year. The other came earlier, in February 2023, and was followed by one of your run-of-the-mill 5% to 10% pullbacks for the broad market.

Certainly nothing conclusive, but it does get the antennae up just a little.

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Lucid sinks following weaker-than-expected Q3 vehicle deliveries and lowered analyst outlook

Lucid delivered 4,078 vehicles in its third quarter, the seventh straight quarterly delivery record for the luxury EV maker. But despite that year-over-year growth, the figure came in below Wall Street’s estimates by about 18% in a quarter where EV makers (including luxury competitors like Rivian) sold thousands of vehicles leading up to the expiration of the US federal EV tax credit.

Lucid shares fell more than 8% in Tuesday trading. Also likely making investors skittish was a freshly lowered Lucid rating by CFRA from “sell” to “strong sell.”

CFRA analyst Garrett Nelson wrote that the rating drop “reflects concerns regarding LCID’s cash burn rate, weak demand, pricing pressures, EV competition, and the fact it is nowhere near close to achieving the mass production rates needed to meaningfully drive down unit costs.” CFRA’s price target for Lucid is $10, 55% below the stock’s current price.

Nelson argues customer demand is a major issue for Lucid, which hasn’t updated its full-year production guidance of 18,000 to 20,000 vehicles since its earnings report in August. To achieve the low end of that range, Lucid will need to build more than 8,000 vehicles in its fourth quarter, which would reflect Q4 production growth of 137% year over year.

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Intercontinental Exchange makes strategic investment in Polymarket in bet on prediction markets

DraftKings and Flutter fell on the news, as prediction markets are clearly gaining traction and the risk to sports betting apps grows.

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Oracle tumbles after report that it’s lost nearly $100 million from renting out access to Nvidia’s Blackwell chips

You buy Nvidia’s flagship chips because they’re supposed to be best in class, empowering you to build better AI capabilities or make lots of money off other companies that want to harness the power of the AI boom.

Not quite, per this report from The Information, whose final paragraph begins with this line:

“In the three months that ended in August, Oracle lost nearly $100 million from rentals of Nvidia’s Blackwell chips, which arrived this year.”

The report notes that some of this is a timing issue, a gap between getting data centers equipped for use and when customers start paying for services.

Oracle, which was roughly flat, quickly fell more than 5% as traders digested this report. Shares of Nvidia, which were up nearly 2% at their highs of the day, turned negative.

Citing internal documents, The Information says that Oracle’s “fast-growing cloud business has had razor-thin gross profit margins in the past year or so,” booking a gross profit of $125 million on rentals of servers that utilize Nvidia chips for the three months ending in August, for a gross margin of just under 14%.

The damage in markets is far from localized in those two stocks, however. In a reversal of how OpenAI’s deal with AMD buoyed the AI trade on Monday, this news is sparking a broad-based retreat.

Nvidia’s top AI chip rival, Broadcom, went from flat to down 2%, with memory chip specialist Micron and foundry giant TSMC also well in the red. Neocloud companies Nebius and CoreWeave, disk drive sellers Western Digital and Seagate Technology Holdings, and zero-revenue nuclear energy firm Okloare among the other stocks selling off on the news.

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AMD soars again after getting more than 20 price target hikes across Wall Street following its deal with OpenAI

Over the past 24 hours, Wall Street has been scrambling to revise its view on how high shares of Advanced Micro Devices can climb in the wake of its recently announced megadeal with OpenAI.

While the terms of the arrangement may raise some eyebrows, Wall Street is expecting that OpenAI’s big foray into AMD’s AI chips will serve as a validation point and magnet for other potential buyers.

“OpenAI is arguably the most disruptive of GenAI cloud computing customers, and its success is likely to act as a force multiplier for other cloud vendors and LLM providers to accelerate their capex, positive for multiple chip, memory, optical, networking, and foundry suppliers,” wrote Bank of America analyst Vivek Arya, who estimates the agreement could be worth over $100 billion over the next four to six years.

As of publishing, we’ve tallied up 22 cases where the sell side has hiked its price target on the chip designer since news of the deal broke:

  • Jefferies, to $300 from $170 (also upgraded the stock to “buy” and had raised its price target just last week!)

  • Melius, to $300 from $200

  • Barclays, to $300 from $200

  • Wells Fargo, to $275 from $185

  • Argus Research, to $275 from $200

  • Cantor Fitzgerald, to $275 from $200

  • Truist, to $273 from $213

  • Benchmark, to $270 from $210

  • New Street Research, to $265 from $230

  • Bank of America, to $250 from $200

  • Roth Capital, to $250 from $200

  • Morgan Stanley, to $246 from $168

  • Baird, to $240 from $175

  • President Capital Management, to $240 from $186

  • Evercore ISI, to $240 from $188

  • Stifel, to $240 from $190

  • Piper Sandler, to $240 from $190

  • Citi, to $215 from $180

  • Goldman Sachs, to $210 from $150

  • Morningstar, to $210 from $155

  • Bernstein, to $200 from $140

  • Deutsche Bank, to $200 from $150

Bloomberg has average price target data going back to September 2005. Over the past two decades and change, there have been only 12 instances where the two-day average price target rose more than the 16% upward revision since the OpenAI pact was announcement.

  • Jefferies, to $300 from $170 (also upgraded the stock to “buy” and had raised its price target just last week!)

  • Melius, to $300 from $200

  • Barclays, to $300 from $200

  • Wells Fargo, to $275 from $185

  • Argus Research, to $275 from $200

  • Cantor Fitzgerald, to $275 from $200

  • Truist, to $273 from $213

  • Benchmark, to $270 from $210

  • New Street Research, to $265 from $230

  • Bank of America, to $250 from $200

  • Roth Capital, to $250 from $200

  • Morgan Stanley, to $246 from $168

  • Baird, to $240 from $175

  • President Capital Management, to $240 from $186

  • Evercore ISI, to $240 from $188

  • Stifel, to $240 from $190

  • Piper Sandler, to $240 from $190

  • Citi, to $215 from $180

  • Goldman Sachs, to $210 from $150

  • Morningstar, to $210 from $155

  • Bernstein, to $200 from $140

  • Deutsche Bank, to $200 from $150

Bloomberg has average price target data going back to September 2005. Over the past two decades and change, there have been only 12 instances where the two-day average price target rose more than the 16% upward revision since the OpenAI pact was announcement.

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