Amazon's Q1 2026 earnings, released April 29, delivered a strong beat with revenue rising 17% to $181.5 billion and AWS sales accelerating 28% to $37.6 billion, lifting operating income to $23.9 billion. Elevated capital expenditures of $43–44 billion for AI infrastructure, however, have tempered immediate margin enthusiasm despite record operating margins of 13.1%. The stock traded near $265 in mid-May after touching an all-time high of $274.99 on May 6, reflecting trader focus on sustained cloud demand and advertising growth against broader tech volatility. Next earnings on July 30 and ongoing AI investment signals remain key near-term catalysts for price levels through month-end.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$84,225 Vol.
↑ $320
1%
↑ $312
4%
↑ $304
9%
↑ $296
8%
↑ $288
9%
↑ $280
24%
↓ $256
57%
↓ $248
28%
↓ $240
15%
↓ $232
7%
↓ $224
4%
↓ $216
3%
$84,225 Vol.
↑ $320
1%
↑ $312
4%
↑ $304
9%
↑ $296
8%
↑ $288
9%
↑ $280
24%
↓ $256
57%
↓ $248
28%
↓ $240
15%
↓ $232
7%
↓ $224
4%
↓ $216
3%
Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Amazon.com, Inc. (AMZN) "Low" prices available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.AMZN%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Pasar Dibuka: Apr 25, 2026, 12:00 AM ET
Sumber Resolusi
https://pythdata.app/explore/Equity.US.AMZN%2FUSDResolver
0x65070BE91...Only prices achieved during the regular trading hours of the primary exchange on which the listed security trades (typically 9:30 AM – 4:00 PM ET) will be considered. Prices occurring during pre-market or after-hours trading will not qualify.
Prices will be used exactly as published by Pyth, without rounding.
In the event of a stock split, reverse stock split, or similar corporate action affecting the listed company 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 is Pyth — specifically, the Amazon.com, Inc. (AMZN) "Low" prices available at https://pythdata.app/explore/Equity.US.AMZN%2FUSD, with the chart settings configured for 1-minute candles.
Historical 1-minute candles may be accessed by appending a Unix timestamp (seconds) to the Pyth chart URL using the "t=" parameter. Any timestamp within the listed market time frame may be used to view the relevant candle data (e.g., https://pythdata.app/explore/Equity.US.AMZN%2FUSD?t=1773432000)
If the relevant Pyth data is unavailable due to a system outage, data failure, or other technical disruption that prevents verification of the required 1-minute candle data, the official daily low price published by the primary exchange on which the listed security trades will be used to determine whether the listed price was reached during the applicable trading session.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.AMZN%2FUSDResolver
0x65070BE91...Amazon's Q1 2026 earnings, released April 29, delivered a strong beat with revenue rising 17% to $181.5 billion and AWS sales accelerating 28% to $37.6 billion, lifting operating income to $23.9 billion. Elevated capital expenditures of $43–44 billion for AI infrastructure, however, have tempered immediate margin enthusiasm despite record operating margins of 13.1%. The stock traded near $265 in mid-May after touching an all-time high of $274.99 on May 6, reflecting trader focus on sustained cloud demand and advertising growth against broader tech volatility. Next earnings on July 30 and ongoing AI investment signals remain key near-term catalysts for price levels through month-end.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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