NVIDIA shares closed at $219.34 on September 17, 2026, reflecting recent volatility within a broader uptrend supported by robust AI-driven data center demand and 85%+ year-over-year revenue growth. CEO Jensen Huang’s comments on doubling chip sales next year and continued Blackwell platform momentum have reinforced trader sentiment, with Wall Street consensus price targets near $329 and a strong-buy rating from over 60 analysts. Forward P/E around 18x and gross margins above 70% underscore the premium valuation tied to hyperscaler capex. With resolution just days away and no major earnings or regulatory events imminent before month-end, short-term price action will hinge on broader tech sector flows, Treasury yields, and any incremental AI infrastructure news that could sustain or pressure the share price above key thresholds.
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-updateWill NVIDIA (NVDA) close above ___ end of September?
$160
99%
$170
98%
$180
97%
$190
93%
$200
92%
$210
81%
$220
50%
$230
20%
$240
8%
$250
3%
$260
6%
$270
6%
$280
6%
$345 Vol.
$160
99%
$170
98%
$180
97%
$190
93%
$200
92%
$210
81%
$220
50%
$230
20%
$240
8%
$250
3%
$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.
Binuksan ang Market: Aug 28, 2026, 6:00 PM ET
Resolution Source
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.
Resolution Source
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x65070BE91...NVIDIA shares closed at $219.34 on September 17, 2026, reflecting recent volatility within a broader uptrend supported by robust AI-driven data center demand and 85%+ year-over-year revenue growth. CEO Jensen Huang’s comments on doubling chip sales next year and continued Blackwell platform momentum have reinforced trader sentiment, with Wall Street consensus price targets near $329 and a strong-buy rating from over 60 analysts. Forward P/E around 18x and gross margins above 70% underscore the premium valuation tied to hyperscaler capex. With resolution just days away and no major earnings or regulatory events imminent before month-end, short-term price action will hinge on broader tech sector flows, Treasury yields, and any incremental AI infrastructure news that could sustain or pressure the share price above key thresholds.
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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