NVIDIA shares trade near $225 amid anticipation for the company's fiscal Q2 2027 earnings release on August 26, creating tight clustering of trader probabilities across multiple weekly close ranges near that level. With several outcomes priced between 45% and 46.5%, the market reflects balanced positioning ahead of potential volatility from any late-week macro data, sector rotation in tech, or pre-earnings sentiment shifts. Current levels sit above recent analyst targets around $225 by month-end, yet broader market-implied odds highlight uncertainty over whether momentum from AI infrastructure spending can sustain gains through Friday's close or if profit-taking ahead of results caps upside. Traders appear focused on near-term catalysts like hyperscaler capex updates and competitive chip demand as key swing factors that could differentiate the $210–$220 bins from those above $230.
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$210-$215 47%
$235-$240 47%
<$200 46%
$205-$210 46%
<$200
46%
$200-$205
45%
$205-$210
46%
$210-$215
47%
$215-$220
46%
$220-$225
45%
$225-$230
46%
$230-$235
46%
$235-$240
47%
$240-$245
46%
>$245
46%
$210-$215 47%
$235-$240 47%
<$200 46%
$205-$210 46%
<$200
46%
$200-$205
45%
$205-$210
46%
$210-$215
47%
$215-$220
46%
$220-$225
45%
$225-$230
46%
$230-$235
46%
$235-$240
47%
$240-$245
46%
>$245
46%
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: Aug 16, 2026, 7:10 PM ET
Fonte di risoluzione
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.
Fonte di risoluzione
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x69c47De9D...NVIDIA shares trade near $225 amid anticipation for the company's fiscal Q2 2027 earnings release on August 26, creating tight clustering of trader probabilities across multiple weekly close ranges near that level. With several outcomes priced between 45% and 46.5%, the market reflects balanced positioning ahead of potential volatility from any late-week macro data, sector rotation in tech, or pre-earnings sentiment shifts. Current levels sit above recent analyst targets around $225 by month-end, yet broader market-implied odds highlight uncertainty over whether momentum from AI infrastructure spending can sustain gains through Friday's close or if profit-taking ahead of results caps upside. Traders appear focused on near-term catalysts like hyperscaler capex updates and competitive chip demand as key swing factors that could differentiate the $210–$220 bins from those above $230.
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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