NVIDIA's record fiscal Q2 2027 results, with $96.2 billion in revenue (up 106% year-over-year) and $89 billion from data centers, plus Q3 guidance of $108 billion and a 70% revenue growth forecast for fiscal 2028, have reinforced trader confidence that AI infrastructure demand remains robust. This eased concerns over a potential slowdown, driving an 8.7% single-day surge and pushing shares within roughly 8% of the May 2026 all-time high near $236. Supply constraints continue to cap upside, yet management highlighted accelerating adoption across hyperscalers, AI clouds, and enterprises, alongside Vera Rubin ramp and major partnerships like expanded AWS GPU deployments. With the next earnings due in November, these dynamics support market-implied odds favoring a near-term all-time high retest amid sustained AI spending momentum.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoSeptember 30, 2026
50%
December 31, 2026
82%
$3,512 Wol.
September 30, 2026
50%
December 31, 2026
82%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The adjustment ratio and ex-date will be as published in the corporate_actions field of Pyth’s symbol metadata (https://pyth.dourolabs.app/v1/symbols).
The resolution source for this market is Pyth — specifically, the NVIDIA (NVDA) "High" prices available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NVDA%2FUSD?t=1773432000).
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Please note that qualification depends solely on Pyth candle data; the Nasdaq figure defines the historical threshold only, and prices from other sources will not be considered except as provided in the preceding paragraph.
Rynek otwarty: Aug 13, 2026, 5:23 PM ET
Rozstrzygający
0x65070BE91...Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
The target price will be adjusted proportionally to reflect any stock splits. Resolution will be based on the historical price data as shown on Pyth after any adjustments have been applied. The adjustment ratio and ex-date will be as published in the corporate_actions field of Pyth’s symbol metadata (https://pyth.dourolabs.app/v1/symbols).
The resolution source for this market is Pyth — specifically, the NVIDIA (NVDA) "High" prices available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.NVDA%2FUSD?t=1773432000).
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily high price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Please note that qualification depends solely on Pyth candle data; the Nasdaq figure defines the historical threshold only, and prices from other sources will not be considered except as provided in the preceding paragraph.
Rozstrzygający
0x65070BE91...NVIDIA's record fiscal Q2 2027 results, with $96.2 billion in revenue (up 106% year-over-year) and $89 billion from data centers, plus Q3 guidance of $108 billion and a 70% revenue growth forecast for fiscal 2028, have reinforced trader confidence that AI infrastructure demand remains robust. This eased concerns over a potential slowdown, driving an 8.7% single-day surge and pushing shares within roughly 8% of the May 2026 all-time high near $236. Supply constraints continue to cap upside, yet management highlighted accelerating adoption across hyperscalers, AI clouds, and enterprises, alongside Vera Rubin ramp and major partnerships like expanded AWS GPU deployments. With the next earnings due in November, these dynamics support market-implied odds favoring a near-term all-time high retest amid sustained AI spending momentum.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano

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