NVIDIA's stock has traded near its May 2026 all-time high of roughly $236 amid sustained AI infrastructure demand, with recent closes around $212–$230 reflecting post-earnings volatility. The primary driver remains the company's fiscal Q2 results showing $96.2 billion revenue (up 106% year over year) and $89 billion data-center sales, fueled by Blackwell ramp and early Vera Rubin deployments at hyperscalers including CoreWeave, Google Cloud, and Microsoft Azure. Rubin systems demonstrate up to 3.7x inference throughput gains and superior tokens-per-watt efficiency in MLPerf benchmarks, extending NVIDIA's lead in agentic and large-model workloads. Acquisitions such as Hugging Face bolster ecosystem positioning, while partnerships addressing power constraints and robust FY2028 growth guidance of ~70% reinforce trader confidence. Key near-term catalysts include the November earnings report and continued Rubin production scaling against supply bottlenecks and custom-chip competition.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於2026年9月30日
30%
2026年12月31日
63%
$4,382 交易量
2026年9月30日
30%
2026年12月31日
63%
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.
市場開放時間: Aug 13, 2026, 5:23 PM ET
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.
NVIDIA's stock has traded near its May 2026 all-time high of roughly $236 amid sustained AI infrastructure demand, with recent closes around $212–$230 reflecting post-earnings volatility. The primary driver remains the company's fiscal Q2 results showing $96.2 billion revenue (up 106% year over year) and $89 billion data-center sales, fueled by Blackwell ramp and early Vera Rubin deployments at hyperscalers including CoreWeave, Google Cloud, and Microsoft Azure. Rubin systems demonstrate up to 3.7x inference throughput gains and superior tokens-per-watt efficiency in MLPerf benchmarks, extending NVIDIA's lead in agentic and large-model workloads. Acquisitions such as Hugging Face bolster ecosystem positioning, while partnerships addressing power constraints and robust FY2028 growth guidance of ~70% reinforce trader confidence. Key near-term catalysts include the November earnings report and continued Rubin production scaling against supply bottlenecks and custom-chip competition.
基於Polymarket數據的AI實驗性摘要。這不是交易建議,也不影響該市場的結算方式。 · 更新於
警惕外部連結哦。
警惕外部連結哦。
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