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News May 2, 2026

Nvidia hits fresh record as options traders price bigger swing into earnings

Nvidia’s rally to a new high lifted chip and AI-linked names, with options markets skewing bullish ahead of the company’s late-May results amid heavy hyperscaler spending.

Nvidia hits fresh record as options traders price bigger swing into earnings

Nvidia hits fresh record as options traders price bigger swing into earnings

Nvidia hits fresh record as options traders price bigger swing into earnings

Nvidia shares pushed to a new all-time high this week, extending the AI-led mega-cap rally as options traders positioned for a larger-than-usual move into the company’s late-May earnings report and investors focused on sustained data-center demand tied to hyperscaler spending.

The stock jumped about 4% to mark a record that valued the company at nearly $5.3 trillion, according to reports from Yahoo News Malaysia and Forbes. Nvidia is up a little over 16% year-to-date, the same reports said, building on a run that has become a central driver of U.S. equity index performance given the company’s size and its heavy weighting in technology benchmarks.

Derivatives markets echoed the bullish tone. At-the-money options expiring May 29—roughly a week after Nvidia reports earnings—were pricing an implied move of about 10% by the end of next month, CNBC reported. Call volume was more than double put volume in recent trading, and premiums were “heavily skewed” toward calls, according to the same report—an options-market signal that traders are paying up for upside exposure into a catalyst date.

Data-center momentum remains the core narrative

Nvidia’s latest quarterly results continue to anchor the bull case. The company posted just over $68 billion in sales in its most recent quarter, a 73% jump year over year, with data-center revenue reaching $62.3 billion, Yahoo News Malaysia and Forbes reported. That revenue mix has reinforced investor focus on large-scale AI infrastructure buildouts rather than the historically more cyclical PC- and gaming-driven semiconductor demand pattern.

Broader spending estimates from major cloud buyers have reinforced the view that demand for advanced AI accelerators is likely to remain robust. 24/7 Wall St. cited projections that the “Big 4 hyperscalers” will spend $710 billion on AI, framing Nvidia as a key beneficiary as customers deploy Hopper and Blackwell systems and continue to rely on the CUDA software ecosystem.

CNBC, in a separate report on Nvidia’s breakout to a new high, also pointed to continued strength across the AI complex even as investors rotate among chip exposures. That same report noted that Intel’s upside earnings surprise helped lift sentiment in adjacent parts of the semiconductor space, with peers also benefiting from improved positioning around enterprise and cloud demand.

Chip stocks whipsaw as investors debate AI demand distribution

Even with Nvidia at record levels, the wider AI-chip group has not moved in a straight line. Several reports pointed to short, sharp pullbacks in chip shares driven by shifting expectations about where AI workloads and procurement may concentrate.

The Motley Fool described a recent swoon across Nvidia, AMD and other AI chip stocks that it attributed to “OpenAI” as a catalyst for near-term rotation and uncertainty, while arguing the market action reflected redistribution of demand rather than a collapse in overall AI spending. Barron’s also highlighted ongoing pressure in chip stocks and the way AI-related headlines can amplify day-to-day volatility across the sector.

Those cross-currents have kept attention on market microstructure—particularly options flows—alongside traditional fundamentals. Traders’ willingness to price a large post-earnings swing, as cited by CNBC, suggests investors expect either results or guidance to meaningfully reset near-term positioning, even after the stock’s run to record highs.

Macro backdrop: equities near highs as Big Tech results loom

Nvidia’s record comes as the broader U.S. market remains close to all-time highs despite geopolitical and commodity volatility. NBC News reported that major U.S. indexes have held near records even amid war with Iran, rising oil prices and weak consumer sentiment readings, as investors weigh still-resilient consumer spending and business investment levels.

That resilience is now being tested by a heavy slate of Big Tech earnings where AI spending and returns on capital outlays are expected to dominate investor questioning, NBC News said. For Nvidia, the key issue is whether its largest customers maintain the pace of data-center investment that has powered revenue growth—and whether supply, product transitions, and competition alter the pricing and margin outlook as adoption moves beyond initial training clusters and toward broader inference deployment.

What investors are watching next

With the shares at unprecedented levels and the options market implying a double-digit move into late May, investors are likely to focus on:

  • Data-center demand cadence: whether the pace implied by the last quarter’s $62.3 billion in data-center revenue continues, as reported by Yahoo News Malaysia and Forbes.
  • Hyperscaler capex signals: any incremental confirmation of massive AI budgets like the $710 billion figure cited by 24/7 Wall St.
  • Positioning and volatility: whether the call-heavy skew and implied 10% move referenced by CNBC persists into the print, or whether hedging demand rises as earnings approach.
  • Sector spillovers: how chip peers trade around AI headlines, a dynamic flagged by The Motley Fool, Barron’s and CNBC.

For now, the price action reflects a market still willing to pay for scale, dominant positioning and continued evidence that AI infrastructure spending remains a priority across corporate America—even as the surrounding chip ecosystem experiences intermittent bouts of rotation and headline-driven volatility.

This is market commentary based on publicly available news sources. Not financial advice.

#Nvidia stock#AI chips#Options market#Semiconductors#Big Tech earnings#Hyperscalers
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