Nvidia’s Slide Tests a Key Technical Level as the Market Rethinks AI’s Price Tag
Published on 07/30/2026 at 20:20 | Redaktion boerse-global.de
The sell-off in Nvidia shares has deepened, dragging the stock within striking distance of its 200-day moving average — a threshold that institutional investors treat as the dividing line between a healthy pullback and a broken trend. At €167.66, the stock now sits just 0.81% above that long-term average of €166.32, having shed more than 17% from its May record of €202.50.
The decline has been sharp. Over the past seven trading days alone, Nvidia has fallen more than 8%. The relative strength index has dropped to 39.7, edging toward oversold territory that has historically preceded a bounce. Yet the speed of the retreat suggests momentum remains firmly in the bears’ corner for now.
A Paradox in Capital Spending
The trigger for the latest leg lower was not a demand shock but a financing controversy. Reports emerged that Nvidia is in talks to backstop a $250 billion funding package for OpenAI, securing computing capacity for a massive US data center project. The potential guarantee — among the largest of its kind for the chipmaker — revived long-standing concerns about “circular” financing, where a supplier doubles as a major investor in its own customers.
The market’s reaction was swift. On July 27, Nvidia shares tumbled more than 5%, the worst single-day drop since February 2026, slicing through several moving averages. Days earlier, Nvidia had announced a strategic partnership with SK Group valued at over $500 billion, adding to the narrative that the company is increasingly intertwining its balance sheet with those of its key partners.
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The criticism carries weight: if AI demand falls short of expectations, losses could cascade through the supply chain. But this is a debate about financing structures and valuation — not evidence that chip orders themselves are weakening.
The Capex Conundrum
The broader market is grappling with a related tension. Alphabet raised its 2026 capital expenditure forecast to a range of $195 billion to $205 billion, only to see its stock punished as investors questioned when those sums would generate returns. Microsoft, by contrast, left its guidance unchanged and was rewarded — suggesting “capital discipline” has become Wall Street’s new watchword.
For Nvidia, this is a double-edged sword. Every dollar a hyperscaler holds back in caution is a dollar of potential revenue lost. Yet with an estimated 75% to 81% market share in AI accelerators, Nvidia remains the single biggest beneficiary of the infrastructure buildout. The question is no longer whether Nvidia can build the chips, but whether its customers can turn those chips into profitable services fast enough to justify the next hundred billion in investment.
Fundamentals vs. Sentiment
Away from the financing headlines, Nvidia’s operating business shows little sign of strain. In fiscal 2026, revenue climbed 65% year over year to $215.9 billion, with net income reaching $120.1 billion. Gross margins remained robust, and free cash flow continues to fund both reinvestment and shareholder returns.
Geopolitical risks have also eased. A senior US trade official recently stated that only “very few” H200 AI chips had been shipped to China and Hong Kong — a “very small amount.” Licenses are being granted again, and shipments are resuming. The volumes remain insignificant as a growth driver, but a tail risk has been removed from the table.
On the demand side, the AI buildout shows no signs of slowing. Alphabet’s stock fell after it raised its AI infrastructure spending plans, while Microsoft, Amazon, and Meta were all expected to announce further increases. Rising capital budgets at the hyperscalers are fundamentally good news for Nvidia’s order book — even if the market has lately chosen to read them as a sign of unsustainable spending.
The Rubin Era Approaches
While the market debates capital flows, Jensen Huang is already looking ahead. At the SIGGRAPH 2026 conference, he unveiled new details on the upcoming “Rubin” architecture, set to enter mass production in the second half of 2026. The platform pairs the R100 GPU with the Vera CPU, shifting focus from training massive models to efficient inference for “agentic AI” — systems that execute tasks autonomously.
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Nvidia’s move to an annual architecture cadence is designed to solve a problem that plagues many chip cycles: the order pause that precedes a major leap. Customers should never have a reason to delay orders. But competition is intensifying. AMD recently claimed its MI455 accelerator will outperform Vera-Rubin systems in raw performance — a notable shift from price competition to a battle over hardware supremacy.
The Bull Case Remains Intact
The gap between Nvidia’s current price and analyst targets is striking. The average price target stands at €262.76, implying upside of roughly 57%. That spread reflects genuine uncertainty about near-term risks, but it also shows that the long-term AI infrastructure thesis has not been abandoned by the sell side.
Year to date, Nvidia shares are still up 5.05%. Over a 12-month horizon, the gain is 7.39%. The overarching trend, despite the recent turbulence, remains unbroken. The 200-day moving average test is more than a technical marker — it is a market vote on the substance of the entire AI narrative. But nothing in the recent news suggests deterioration in chip demand, margins, or competitive positioning. What looks like a crisis of confidence is, at its core, a correction in valuation and sentiment — not the start of a structural downturn.
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Nvidia Stock: New Analysis - 30 July
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