Nvidia Pullback Looks Like a Buyable Reset

Nvidia’s selloff has likely done more damage to bearish option bets than to the company’s long-term AI story, because the stock is still sitting above its 200-day moving average even after a sharp reset in momentum.
That matters because the market is not pricing the end of AI capex — it is repricing how fast and how cleanly that spending can be digested after a massive run. Nvidia fell to $203.53 on July 13 from a recent peak of $235.47 on May 14, while still far above its $191.60 200-day average and only modestly below its $208.96 50-day average. That is the kind of pullback that can punish late put buyers while leaving the bigger secular trade intact.
The real signal is broader than one stock. The semiconductor complex is cooling after a red-hot surge, but not breaking. SOXX dropped to $553.61 from a June 30 high of $655.89, and SMH slid to $585.62 from $655.89, yet both remain well above their 200-day averages. In plain English: the AI trade is still being corrected, not reversed. Investors should read that as rotation, not capitulation.
Nvidia’s own tape suggests the market is working off excess enthusiasm rather than discovering a new fundamental problem. The stock’s RSI has slipped to 45.4 after briefly running to 81.8 in early November on the prior cycle, while MACD momentum has softened but not collapsed. Adalytica’s Nvidia earnings sentiment snapshot is still neutral at 63, with awareness at 81, showing the name remains heavily watched even as short-term sentiment whipsaws. That combination usually produces violent squeezes, not one-way declines.
The economic reason this matters is straightforward: AI infrastructure remains a capital-spending arms race, and Nvidia is still the toll road. Hyperscalers, sovereign funds and enterprise buyers may time orders differently, but they are not abandoning the compute race. Every major retracement in the AI leaders since 2023 has eventually become a buying opportunity because the underlying demand curve has remained steeper than the market expected.
For investors, that means the trade has shifted from chasing momentum to owning the picks-and-shovels with patience. Nvidia remains the highest-beta expression of AI spend, but the cleaner asymmetry may now sit in the broader ecosystem — the chip equipment names, memory, networking, power infrastructure and data-center buildout that benefit whether sentiment is euphoric or merely constructive. If the market is wrong about anything, it is underestimating how much infrastructure still has to be built before AI capex peaks.
The next catalyst is not whether Nvidia can keep going up every week; it is whether earnings, guidance and hyperscaler spending continue to validate the spend cycle into the second half of the year. If they do, recent put buyers could find themselves fighting a secular trend with a cyclical timing bet — and that is usually a costly mistake. The higher-probability move is to use weakness in Nvidia and the semiconductor complex as an entry point, not a warning flare.
| Entity | Gains | Losses |
|---|---|---|
| NVDA bulls | ▲Dip-buy opportunity | ▼Short-term volatility |
| NVDA put buyers | ▲Fast theta decay | ▼Losing bearish bet |
| AI infrastructure suppliers | ▲Continued capex demand | ▼None |
| Late momentum shorts | ▲Possible squeeze | ▼Rising carry risk |