NVIDIA's recent blowout second-quarter results, with $96.2 billion in revenue more than doubling year-over-year and data center sales surging 117% to $89 billion, have reinforced trader optimism around sustained AI infrastructure demand for its GPUs and platforms like Blackwell. The company guided to $108 billion for the current quarter and projected roughly 70% revenue growth into fiscal 2028 despite supply bottlenecks and elevated memory costs pressuring margins. Shares, trading near $230 with a 52-week high of $236.54, sit just below the May 2026 all-time closing peak of $235.47, amid ongoing hyperscaler investments, Rubin processor ramps, and partnerships such as expanded Amazon cloud deployments. The next earnings release in mid-November represents a key near-term catalyst that could influence momentum toward new highs.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено30 сентября 2026 года
76%
31 декабря 2026 года
91%
$3,582 Объем
30 сентября 2026 года
76%
31 декабря 2026 года
91%
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.
Открытие рынка: Aug 13, 2026, 5:23 PM ET
Кто определяет исход
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.
Кто определяет исход
0x65070BE91...NVIDIA's recent blowout second-quarter results, with $96.2 billion in revenue more than doubling year-over-year and data center sales surging 117% to $89 billion, have reinforced trader optimism around sustained AI infrastructure demand for its GPUs and platforms like Blackwell. The company guided to $108 billion for the current quarter and projected roughly 70% revenue growth into fiscal 2028 despite supply bottlenecks and elevated memory costs pressuring margins. Shares, trading near $230 with a 52-week high of $236.54, sit just below the May 2026 all-time closing peak of $235.47, amid ongoing hyperscaler investments, Rubin processor ramps, and partnerships such as expanded Amazon cloud deployments. The next earnings release in mid-November represents a key near-term catalyst that could influence momentum toward new highs.
Экспериментальная сводка, созданная ИИ на основе данных Polymarket. Это не является торговой рекомендацией и не влияет на то, как разрешается этот рынок. · Обновлено
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