NVIDIA shares closed near $218 on September 11 after a volatile week that saw a roughly 5% pullback from early-September levels near $230, reflecting profit-taking following the company’s strong fiscal Q2 results of $96.2 billion in revenue and robust data-center growth. Trader consensus remains tightly bunched because near-term price action hinges on the balance between sustained AI infrastructure demand—bolstered by recent ecosystem partnerships and the Hugging Face acquisition—and macro headwinds including the Federal Reserve’s September 16 policy decision, elevated Treasury yields, and broader tech-sector rotation. With next earnings not due until November, the market-implied odds capture uncertainty over whether positive fundamental momentum can offset rate sensitivity and any further supply-chain or China-related noise in the immediate trading window.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato< $195 24%
$195-$200 24%
$200-$205 24%
$235-$240 24%
< $195
24%
$195-$200
24%
$200-$205
24%
$205-$210
7%
$210-$215
12%
$215-$220
15%
$220-$225
14%
$225-$230
10%
$230-$235
6%
$235-$240
24%
>$240
24%
< $195 24%
$195-$200 24%
$200-$205 24%
$235-$240 24%
< $195
24%
$195-$200
24%
$200-$205
24%
$205-$210
7%
$210-$215
12%
$215-$220
15%
$220-$225
14%
$225-$230
10%
$230-$235
6%
$235-$240
24%
>$240
24%
If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
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.
Mercato aperto: Sep 11, 2026, 6:00 PM ET
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.NVDA%2FUSDRisolutore
0x69c47De9D...If the reported value falls exactly between two brackets, then this market will resolve to the higher range bracket.
Closing prices will be used exactly as published by Pyth, without rounding.
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 di risoluzione
https://pythdata.app/explore/Equity.US.NVDA%2FUSDRisolutore
0x69c47De9D...NVIDIA shares closed near $218 on September 11 after a volatile week that saw a roughly 5% pullback from early-September levels near $230, reflecting profit-taking following the company’s strong fiscal Q2 results of $96.2 billion in revenue and robust data-center growth. Trader consensus remains tightly bunched because near-term price action hinges on the balance between sustained AI infrastructure demand—bolstered by recent ecosystem partnerships and the Hugging Face acquisition—and macro headwinds including the Federal Reserve’s September 16 policy decision, elevated Treasury yields, and broader tech-sector rotation. With next earnings not due until November, the market-implied odds capture uncertainty over whether positive fundamental momentum can offset rate sensitivity and any further supply-chain or China-related noise in the immediate trading window.
Riepilogo sperimentale generato dall'AI con riferimento ai dati di Polymarket. Questo non è un consiglio di trading e non ha alcun ruolo nella risoluzione di questo mercato. · Aggiornato
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