NVIDIA shares closed at $222.27 on September 18, 2026, amid ongoing strength in AI data-center demand following the company’s record $96.2 billion Q2 fiscal 2027 revenue, which rose 106% year-over-year with 75% gross margins. Recent licensing deals and acquisitions, including Groq technology and Hugging Face, reinforce positioning across the AI stack, supporting analyst price targets averaging above $250. The stock has traded in a volatile range near its 52-week high of $236.54, influenced by broader semiconductor sector moves and macroeconomic factors such as Treasury yields and risk appetite. With the next earnings release not due until November, the week of September 21 will likely hinge on sector rotation, trading volume, and any incremental AI infrastructure updates, leaving short-term price resolution dependent on sustained momentum versus profit-taking.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · AtualizadoUS$ 190
100%
$195
100%
$200
100%
US$205
100%
$210
94%
$215
82%
US$ 220
60%
$225
34%
$230
15%
$235
6%
$240
100%
$245
100%
US$250
100%
$0.00 Vol.
US$ 190
100%
$195
100%
$200
100%
US$205
100%
$210
94%
$215
82%
US$ 220
60%
$225
34%
$230
15%
$235
6%
$240
100%
$245
100%
US$250
100%
If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If NVIDIA (NVDA) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for NVIDIA (NVDA) available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD.
Mercado Aberto: Sep 18, 2026, 6:00 PM ET
Fonte de resolução
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...If the two specified prices are exactly equal, this market will resolve to "No".
Closing prices will be used exactly as published by Pyth, without rounding.
If NVIDIA (NVDA) does not trade at all during the regular session of the final trading day of the week, the market will resolve 50-50.
For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If the relevant session is shortened (for example, due to a market-holiday schedule), the Pyth "Close" value of the 1-minute candle corresponding to the final minute of that shortened session will be used.
If the relevant day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing price. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which the listed security trades will be used to determine the closing price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security 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 resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle for NVIDIA (NVDA) available at https://pythdata.app/explore/Equity.US.NVDA%2FUSD.
Fonte de resolução
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...NVIDIA shares closed at $222.27 on September 18, 2026, amid ongoing strength in AI data-center demand following the company’s record $96.2 billion Q2 fiscal 2027 revenue, which rose 106% year-over-year with 75% gross margins. Recent licensing deals and acquisitions, including Groq technology and Hugging Face, reinforce positioning across the AI stack, supporting analyst price targets averaging above $250. The stock has traded in a volatile range near its 52-week high of $236.54, influenced by broader semiconductor sector moves and macroeconomic factors such as Treasury yields and risk appetite. With the next earnings release not due until November, the week of September 21 will likely hinge on sector rotation, trading volume, and any incremental AI infrastructure updates, leaving short-term price resolution dependent on sustained momentum versus profit-taking.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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