NVIDIA shares, recently closing near $225 amid consolidation in a cup-and-handle base, face a closely contested week of August 17 with market-implied probabilities clustered tightly between 46% and 49.5% across $200–$245 ranges. The primary catalyst remains anticipation of the August 26 fiscal Q2 earnings release, where consensus expects robust data-center revenue growth and margin expansion, tempered by pre-report positioning and broader semiconductor sector rotation. Historical post-earnings reactions, combined with current trading near 52-week highs around $236 and forward P/E compression, underscore the uncertainty, as traders weigh potential upside from AI demand signals against profit-taking risks before the report. This skin-in-the-game consensus highlights how near-term volatility hinges on macro sentiment and any last-minute analyst revisions.
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-updateNVIDIA (NVDA) closes week of Aug 17 at ___?
<$200 50%
$210-$215 50%
$235-$240 50%
$240-$245 50%
<$200
50%
$200-$205
46%
$205-$210
48%
$210-$215
50%
$215-$220
47%
$220-$225
46%
$225-$230
46%
$230-$235
49%
$235-$240
50%
$240-$245
50%
>$245
49%
<$200 50%
$210-$215 50%
$235-$240 50%
$240-$245 50%
<$200
50%
$200-$205
46%
$205-$210
48%
$210-$215
50%
$215-$220
47%
$220-$225
46%
$225-$230
46%
$230-$235
49%
$235-$240
50%
$240-$245
50%
>$245
49%
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.
Binuksan ang Market: Aug 16, 2026, 7:10 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, recently closing near $225 amid consolidation in a cup-and-handle base, face a closely contested week of August 17 with market-implied probabilities clustered tightly between 46% and 49.5% across $200–$245 ranges. The primary catalyst remains anticipation of the August 26 fiscal Q2 earnings release, where consensus expects robust data-center revenue growth and margin expansion, tempered by pre-report positioning and broader semiconductor sector rotation. Historical post-earnings reactions, combined with current trading near 52-week highs around $236 and forward P/E compression, underscore the uncertainty, as traders weigh potential upside from AI demand signals against profit-taking risks before the report. This skin-in-the-game consensus highlights how near-term volatility hinges on macro sentiment and any last-minute analyst revisions.
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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