NVIDIA's recent fiscal Q2 results, featuring $96.2 billion in revenue with 106% year-over-year growth and robust data center momentum, anchor trader sentiment for the week of September 7 close, alongside the $12.9 billion Hugging Face acquisition that bolsters its AI software ecosystem. Market-implied odds reflect balanced uncertainty between potential consolidation below $210—driven by valuation compression, memory supply constraints pressuring margins toward 71-72%, and macro data such as the latest nonfarm payrolls—and upside toward $250-255 supported by 70% fiscal 2028 revenue guidance, Dell's enterprise AI validation, and expanding customer base beyond hyperscalers. Supply limitations rather than demand weakness continue to shape the near-term path, with upcoming catalysts including broader AI infrastructure spending trends.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · UpdatedNVIDIA (NVDA) closes week of Sep 7 at ___?
$245-$250 43%
<$210 39%
>$255 33%
$250-$255 33%
<$210
39%
$210-$215
29%
$215-$220
7%
$220-$225
15%
$225-$230
23%
$230-$235
23%
$235-$240
15%
$240-$245
8%
$245-$250
43%
$250-$255
33%
>$255
33%
$245-$250 43%
<$210 39%
>$255 33%
$250-$255 33%
<$210
39%
$210-$215
29%
$215-$220
7%
$220-$225
15%
$225-$230
23%
$230-$235
23%
$235-$240
15%
$240-$245
8%
$245-$250
43%
$250-$255
33%
>$255
33%
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.
Market Opened: Sep 4, 2026, 6:00 PM ET
Resolution Source
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
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.
Resolution Source
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x69c47De9D...NVIDIA's recent fiscal Q2 results, featuring $96.2 billion in revenue with 106% year-over-year growth and robust data center momentum, anchor trader sentiment for the week of September 7 close, alongside the $12.9 billion Hugging Face acquisition that bolsters its AI software ecosystem. Market-implied odds reflect balanced uncertainty between potential consolidation below $210—driven by valuation compression, memory supply constraints pressuring margins toward 71-72%, and macro data such as the latest nonfarm payrolls—and upside toward $250-255 supported by 70% fiscal 2028 revenue guidance, Dell's enterprise AI validation, and expanding customer base beyond hyperscalers. Supply limitations rather than demand weakness continue to shape the near-term path, with upcoming catalysts including broader AI infrastructure spending trends.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated
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