NVIDIA shares closed at $213.90 on September 16, 2026, after trading in a $209–$230 range through early September amid post-earnings volatility. The August 26 fiscal Q2 report delivered $96.2 billion in revenue—well above consensus—with data center sales up 117% year over year and management guiding $108 billion for Q3 plus approximately 70% revenue growth for fiscal 2028, exceeding analyst forecasts. Supply constraints and elevated memory costs tempered margins, while mid-September AI spending concerns triggered a brief pullback. With the next earnings set for November 18 and hyperscaler capex forecasts remaining elevated, trader focus centers on whether near-term momentum and risk appetite can sustain levels above recent support into month-end resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$160
99%
$170
98%
$180
98%
$190
93%
$200
84%
$210
74%
$220
44%
$230
18%
$240
10%
$250
7%
$260
6%
$270
6%
$280
6%
$271 Vol.
$160
99%
$170
98%
$180
98%
$190
93%
$200
84%
$210
74%
$220
44%
$230
18%
$240
10%
$250
7%
$260
6%
$270
6%
$280
6%
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 month, 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.
Pasar Dibuka: Aug 28, 2026, 6:00 PM ET
Sumber Resolusi
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 month, 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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...NVIDIA shares closed at $213.90 on September 16, 2026, after trading in a $209–$230 range through early September amid post-earnings volatility. The August 26 fiscal Q2 report delivered $96.2 billion in revenue—well above consensus—with data center sales up 117% year over year and management guiding $108 billion for Q3 plus approximately 70% revenue growth for fiscal 2028, exceeding analyst forecasts. Supply constraints and elevated memory costs tempered margins, while mid-September AI spending concerns triggered a brief pullback. With the next earnings set for November 18 and hyperscaler capex forecasts remaining elevated, trader focus centers on whether near-term momentum and risk appetite can sustain levels above recent support into month-end resolution.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
Hati-hati dengan link eksternal.
Hati-hati dengan link eksternal.
Pertanyaan yang Sering Diajukan