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Screaming man

The three technical charts raising jitters over the AI trade

Semis head and shoulders, Nvidia below the 50-day average, and September seasonality.

Luke Kawa

A soft start to September after a poor end to August has left the most important part of the stock market — everything related to AI — in a shakier state.

A Morgan Stanley basket of AI tech beneficiaries fell 5.5% over the past two sessions, its worst two-day drubbing since the sessions immediately following “Liberation Day” on April 2, when the extent of President Donald Trump’s reciprocal tariff regime was unveiled.

With Google and Apple roaring on Wednesday, the picture is a little brighter for the AI trade. But in the background, there are still three technical spots of bother with the complex that’s been critical to the US stock market’s gains for the past two years and counting.

Semiconductors are in a precarious position, with the VanEck Semiconductor ETF not too far away from completing a bearish head-and-shoulders top pattern recently flagged by Bank of America head of technical research Paul Ciana.

BofA SMH H&S

Zooming in on the most important semiconductor stock: Nvidia, the heart, soul, and many other body parts of the AI trade, closed below its 50-day moving average on Tuesday for the first time since May, when it was repairing damage done in the wake of the momentum meltdown and tariff angst that roiled markets.

Since the AI boom unofficially kicked off in May 2023, there have been only four previous instances where Nvidia had a fresh break below its 50-day moving average (that is, closing below that level for the first time in at least 21 sessions):

  • August 9, 2023

  • April 19, 2024

  • July 24, 2024

  • December 10, 2024

And now, yesterday. The good news is that breaching that technical threshold hasn’t been a big deal for Nvidia. One-month forward returns from the above dates have been strongly positive (up at least 7%) on three of four occasions, and the one loss was less than 2%.

But oh yeah, it’s September, a seasonally bad time for the stock market. Returns have varied widely for the Nasdaq 100 over the past 20 years, from up as much as 13% to down nearly 15%, but on average it’s been the only month with negative returns for the tech-heavy gauge.

“One needs to be pragmatic while at these levels, namely because the tape is not only following the Fed Cut script closely of buying the rumor to then sell the news, but also because divergences in momentum and breadth as well elevated levels of complacency, all of which leaves the market open to a violent, yet buyable dip opportunity,” wrote John Kolovos, chief technical market strategist at Macro Risk Advisors.

That being said, he’s still constructive on the medium-term technical picture for stocks through year-end and early into 2026.

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Luke Kawa

BlackBerry is on one of its hottest rallies of all time

History suggests that BlackBerry does extremely well when 1) it’s considered to be pioneering a transformative technology, or 2) there’s widespread retail enthusiasm for stocks.

If you squint (or dream), you could argue that both are going on right now.

Shares of the once-upon-a-time smartphone giant are up more than 160% over the past three months. The only times the shares have had a hotter run of form than this are at the tail end of the dot-com bubble, and in early 2021 when was it part of the meme stock craze headlined by GameStop.

Let’s start with the easy part first — here’s Scott Rubner, head of equity and equity derivatives strategy at Citadel, on retail’s significant footprint in the shares’ rally:

“Retail traders are the new price setters in the market. May volumes across our retail cash equities and options platforms are currently tracking at record levels. Daily volumes on our cash platform are setting new highs and are on pace to finish nearly ~10% above the previous record established during the January 2021 meme-stock era.”

And then there’s the harder part, part of the story that the traders bidding up BlackBerry now are dreaming about: the QNX division, which offers software that the company is positioning as an operating system for robots.

QNX’s software has early uptake in the field of autonomous driving, with BlackBerry eyeing a much more widespread role: in April, it announced a partnership to deploy this technology on Nvidia’s robotics platform. Nvidia’s Jensen Huang, for his part, has long been calling for agentic AI adoption to be followed by physical AI (i.e., robots).

In a QNX press release unveiling a report this week, the company argued that software, not hardware, is the real problem in terms of making sure robotics works.

I supposed it would be poetic, in a way, if the company at the leading edge of the smartphone revolution also plays a big role in the proliferation of robotics.

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Luke Kawa

Micron and Sandisk rally on new Street-high price targets from Susquehanna

Micron and Sandisk both hit fresh all-time highs in early trading after Susquehanna bestowed new Wall Street-high price targets on the two memory stocks.

Analyst Mehdi Hosseini upped his view on the former to $1,750 from $600, and to $3,250 from $2,000 for the latter.

“Supply is now expected to remain tight through 2027, sustaining elevated margins and thus warranting valuation re-rating,” he wrote, per Bloomberg.

It’s the fifth time in the past year that the average price target on Micron has gone up by more than 10% in a week. UBS’s Tim Arcuri more than tripled his price target on Micron earlier this week, and has already lost the title of “most bullish.”

But even as analysts are tripping over themselves to raise their price targets on these stocks, the ferocity of the rally in Micron has outpaced their best efforts.

The high-bandwidth memory specialist traded at a record premium to the consensus Wall Street price target this week, based on data going back to 2008.

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Okta soars on Q1 earnings beat, raised outlook driven by AI security demand

Okta shares are surging in early trading Friday after the identity security provider posted Q1 fiscal 2027 financial results that exceeded Wall Street estimates. The strong results are fueled by accelerating corporate demand for cybersecurity software, as well as the deployment of autonomous AI systems.

Key numbers:

  • Adjusted earnings per share of $0.91 compared to analysts estimate of $0.85.

  • Revenue of $765 million compared to an estimate of $752.7 million.

The company generated subscription revenue of $750 million, up 11% year over year. Okta also has $271 million in free cash flow, up from $238 million in the prior years quarter.

While standard cybersecurity software protects human workers, the latest catalyst sparking Oktas strong corporate performance is the rapid emergence of autonomous AI agents that can access sensitive corporate databases and interact with privileged executive accounts.

“AI agents are rapidly becoming a new workforce inside every organization, creating a wave of identities that must be secured and governed alongside human users,” said Todd McKinnon, CEO and cofounder of Okta. “We’re expanding our opportunity as the world’s leading independent and neutral identity provider and helping customers make identity the unified control plane for their secure agentic enterprise.”

Okta raised its fiscal 2027 revenue guidance to between $3.185 billion and $3.205 billion, roughly in line with estimates of $3.18 billion. The company formally dropped its long-term projected non-GAAP tax rate from 26% down to 21%. This adjustment is a direct byproduct of the federal corporate tax frameworks under the One Big Beautiful Bill Act.

Shares of Okta have risen around 9% since the beginning of this year.

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HPE, SMCI surge after Dell’s Q1 beat on strong AI server demand

HP Enterprise and Super Micro Computer shares are surging in premarket trading, getting a big boost from rival Dell’s strong Q1 results.

Dell’s $16.1 billion in AI-optimized server sales for the quarter alone proved that enterprise data center demand is accelerating faster than Wall Street had anticipated. The company posted revenue of $43.8 billion, exceeding Street estimates of $35.5 billion. Management now sees full-year sales of about $167 billion, well above the $142 billion expected by analysts.

The read-through is particularly relevant for Super Micro, one of the largest suppliers of Nvidia-powered AI server systems, and HPE, which has been expanding its AI infrastructure and liquid-cooling offerings through its partnership with Nvidia.

The moves suggest investors view AI infrastructure as a broad spending cycle that benefits server makers across the entire ecosystem.

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