NVIDIA's stock has hovered near its May 2026 all-time high of roughly $236 amid robust AI-driven demand for its data center GPUs. Recent fiscal second-quarter results showed revenue more than doubling year-over-year to $96.2 billion, with strong guidance for continued triple-digit growth and a 70 percent revenue increase projected for the following fiscal year, easing concerns over potential slowdowns in hyperscaler spending. The company's $13 billion acquisition of Hugging Face and other ecosystem investments further signal efforts to lock in developer and enterprise adoption across open and closed large language models. Supply constraints on Blackwell chips persist as a bottleneck, while the next earnings report in November could serve as a key catalyst for any sustained breakout.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-updateNVIDIA (NVDA) all-time high by ___?
September 30, 2026
74%
December 31, 2026
87%
$3,540 Vol.
September 30, 2026
74%
December 31, 2026
87%
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.
Binuksan ang Market: 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 stock has hovered near its May 2026 all-time high of roughly $236 amid robust AI-driven demand for its data center GPUs. Recent fiscal second-quarter results showed revenue more than doubling year-over-year to $96.2 billion, with strong guidance for continued triple-digit growth and a 70 percent revenue increase projected for the following fiscal year, easing concerns over potential slowdowns in hyperscaler spending. The company's $13 billion acquisition of Hugging Face and other ecosystem investments further signal efforts to lock in developer and enterprise adoption across open and closed large language models. Supply constraints on Blackwell chips persist as a bottleneck, while the next earnings report in November could serve as a key catalyst for any sustained breakout.
Eksperimental na AI-generated summary na nire-reference ang Polymarket data. Hindi ito trading advice at wala itong papel sa kung paano nire-resolve ang market na ito. · Na-update
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