NVIDIA shares traded near $208–$210 on August 24 amid a seven-day losing streak and broader semiconductor weakness, with the stock down roughly 7% over that span ahead of fiscal Q2 results due after the close on August 26. Traders are pricing in a post-earnings rebound that supports the 43.5% implied probability for a $215–$220 weekly close, reflecting expectations for another revenue beat near $92 billion and continued data-center momentum despite rising memory costs that prompted announced AI-server price hikes of up to 15%. The 26% odds on closes below $195 capture downside risks if guidance disappoints or AI-spending concerns intensify, while analyst price targets averaging above $300 underscore long-term bullish sentiment. Key catalysts remain the earnings print and any shifts in gross-margin commentary or Blackwell/Rubin ramp updates.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated<$195 28%
$205-$210 18%
$200-$205 15%
$195-$200 14%
<$195
28%
$195-$200
14%
$200-$205
15%
$205-$210
18%
$210-$215
41%
$215-$220
39%
$220-$225
13%
$225-$230
8%
$230-$235
12%
$235-$240
12%
>$240
12%
<$195 28%
$205-$210 18%
$200-$205 15%
$195-$200 14%
<$195
28%
$195-$200
14%
$200-$205
15%
$205-$210
18%
$210-$215
41%
$215-$220
39%
$220-$225
13%
$225-$230
8%
$230-$235
12%
$235-$240
12%
>$240
12%
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: Aug 21, 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 shares traded near $208–$210 on August 24 amid a seven-day losing streak and broader semiconductor weakness, with the stock down roughly 7% over that span ahead of fiscal Q2 results due after the close on August 26. Traders are pricing in a post-earnings rebound that supports the 43.5% implied probability for a $215–$220 weekly close, reflecting expectations for another revenue beat near $92 billion and continued data-center momentum despite rising memory costs that prompted announced AI-server price hikes of up to 15%. The 26% odds on closes below $195 capture downside risks if guidance disappoints or AI-spending concerns intensify, while analyst price targets averaging above $300 underscore long-term bullish sentiment. Key catalysts remain the earnings print and any shifts in gross-margin commentary or Blackwell/Rubin ramp updates.
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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