NVIDIA's recent fiscal second-quarter results, showing data center revenue more than doubling to roughly $89 billion amid sustained demand for its AI accelerators, remain the dominant driver of trader sentiment on whether NVDA will set a new all-time high. Strong guidance for continued supply-constrained growth, the ongoing Blackwell ramp, and early full-production shipments of the Vera Rubin platform—which offers improved performance-per-watt for agentic large language model workloads—support bullish positioning. However, the stock trades below its May 2026 peak near $236 amid heightened competition from Huawei's Ascend chips, power and manufacturing bottlenecks, and broader AI infrastructure spending scrutiny. Traders are watching the November earnings and hyperscaler capex updates for signals on whether momentum can overcome these hurdles.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado30 de septiembre de 2026
32%
31 de diciembre de 2026
75%
$4,530 Vol.
30 de septiembre de 2026
32%
31 de diciembre de 2026
75%
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.
Mercado abierto: Aug 13, 2026, 5:23 PM ET
Resolver
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.
Resolver
0x65070BE91...NVIDIA's recent fiscal second-quarter results, showing data center revenue more than doubling to roughly $89 billion amid sustained demand for its AI accelerators, remain the dominant driver of trader sentiment on whether NVDA will set a new all-time high. Strong guidance for continued supply-constrained growth, the ongoing Blackwell ramp, and early full-production shipments of the Vera Rubin platform—which offers improved performance-per-watt for agentic large language model workloads—support bullish positioning. However, the stock trades below its May 2026 peak near $236 amid heightened competition from Huawei's Ascend chips, power and manufacturing bottlenecks, and broader AI infrastructure spending scrutiny. Traders are watching the November earnings and hyperscaler capex updates for signals on whether momentum can overcome these hurdles.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
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