Amazon's robust Q2 2026 results, featuring 20% revenue growth to $200.6 billion and AWS sales surging 37% to a $169 billion annualized run rate, drove the primary catalyst behind current market-implied odds for the Aug 7 close. Shares closed Aug 3 at $284.02 after hitting intraday highs near $287, fueled by AI demand and a one-time gain from Anthropic investments that boosted net income. With the stock trading near all-time highs and showing elevated volatility in after-hours action around $280, trader sentiment clusters probabilities across $270–$285 ranges while assigning the highest weight to a potential extension above $295. No major catalysts loom before week's end, leaving positioning sensitive to broader equity flows, Treasury yields, and any follow-through on capex guidance.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado>$295 21.5%
$275-$280 19%
$270-$275 18%
$280-$285 18%
<$250
11%
$250-$255
9%
$255-$260
7%
$260-$265
8%
$265-$270
9%
$270-$275
18%
$275-$280
19%
$280-$285
18%
$285-$290
18%
$290-$295
13%
>$295
22%
>$295 21.5%
$275-$280 19%
$270-$275 18%
$280-$285 18%
<$250
11%
$250-$255
9%
$255-$260
7%
$260-$265
8%
$265-$270
9%
$270-$275
18%
$275-$280
19%
$280-$285
18%
$285-$290
18%
$290-$295
13%
>$295
22%
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 Amazon.com, Inc. (AMZN) available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD.
Mercado abierto: Jul 31, 2026, 6:00 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.AMZN%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 Amazon.com, Inc. (AMZN) available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD.
Fuente de resolución
https://pythdata.app/explore/Equity.US.AMZN%2FUSDResolver
0x69c47De9D...Amazon's robust Q2 2026 results, featuring 20% revenue growth to $200.6 billion and AWS sales surging 37% to a $169 billion annualized run rate, drove the primary catalyst behind current market-implied odds for the Aug 7 close. Shares closed Aug 3 at $284.02 after hitting intraday highs near $287, fueled by AI demand and a one-time gain from Anthropic investments that boosted net income. With the stock trading near all-time highs and showing elevated volatility in after-hours action around $280, trader sentiment clusters probabilities across $270–$285 ranges while assigning the highest weight to a potential extension above $295. No major catalysts loom before week's end, leaving positioning sensitive to broader equity flows, Treasury yields, and any follow-through on capex guidance.
Resumen experimental generado por IA con datos de Polymarket. Esto no es asesoramiento de trading y no influye en cómo se resuelve este mercado. · Actualizado
Cuidado con los enlaces externos.
Cuidado con los enlaces externos.
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