NVIDIA's fiscal second-quarter earnings release on August 26 stands as the dominant catalyst shaping trader positioning for the Aug 24 week close, with the company's data center revenue trajectory and AI demand metrics likely to drive immediate share price reaction from recent levels near $215. Strong prior-quarter results, including 85% year-over-year revenue growth and robust gross margins above 74%, underpin expectations, while a recent OpenAI-linked data center financing commitment highlights expanding infrastructure commitments. Analyst price targets averaging above $300 reflect long-term growth optimism, yet the evenly distributed Polymarket probabilities across $205–$235 bins underscore uncertainty around earnings beats or misses and any resulting volatility in trading volume or valuation multiples. This setup captures skin-in-the-game sentiment ahead of the print, where macroeconomic factors like Treasury yields could also influence risk appetite.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado$205-$210 16%
$215-$220 16%
$210-$215 16%
<$195 15%
<$195
15%
$195-$200
8%
$200-$205
9%
$205-$210
16%
$210-$215
16%
$215-$220
16%
$220-$225
15%
$225-$230
12%
$230-$235
11%
$235-$240
11%
>$240
13%
$205-$210 16%
$215-$220 16%
$210-$215 16%
<$195 15%
<$195
15%
$195-$200
8%
$200-$205
9%
$205-$210
16%
$210-$215
16%
$215-$220
16%
$220-$225
15%
$225-$230
12%
$230-$235
11%
$235-$240
11%
>$240
13%
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.
Mercado Aberto: Aug 21, 2026, 6:00 PM ET
Fonte de resolução
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 de resolução
https://pythdata.app/explore/Equity.US.NVDA%2FUSDResolver
0x69c47De9D...NVIDIA's fiscal second-quarter earnings release on August 26 stands as the dominant catalyst shaping trader positioning for the Aug 24 week close, with the company's data center revenue trajectory and AI demand metrics likely to drive immediate share price reaction from recent levels near $215. Strong prior-quarter results, including 85% year-over-year revenue growth and robust gross margins above 74%, underpin expectations, while a recent OpenAI-linked data center financing commitment highlights expanding infrastructure commitments. Analyst price targets averaging above $300 reflect long-term growth optimism, yet the evenly distributed Polymarket probabilities across $205–$235 bins underscore uncertainty around earnings beats or misses and any resulting volatility in trading volume or valuation multiples. This setup captures skin-in-the-game sentiment ahead of the print, where macroeconomic factors like Treasury yields could also influence risk appetite.
Resumo experimental gerado por IA com dados do Polymarket. Isto não é aconselhamento de trading e não tem qualquer papel na resolução deste mercado. · Atualizado
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