The S&P 500 has traded near record highs around 7,580–7,600 amid robust first-quarter earnings growth, with 84% of reporting companies beating estimates and EPS projected to rise 24% for full-year 2026. Strong AI-driven capital spending and margin expansion to 16% have supported the advance, while the labor market remains resilient with recent nonfarm payrolls exceeding forecasts. Moderating inflation trends and expectations for steady Federal Reserve policy have kept Treasury yields contained, bolstering equity valuations. The primary near-term catalyst is the May CPI release on June 10, which will shape rate-path expectations ahead of the June 16–17 FOMC meeting and updated economic projections. Market-implied odds embed this backdrop of earnings momentum tempered by data sensitivity.
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↑ $770
50%
↑ $765
50%
↑ $760
50%
↑ $755
50%
↑ $750
50%
↑ $745
50%
↑ $740
50%
↓ $735
50%
↓ $730
50%
↓ $725
50%
↓ $720
50%
↓ $715
50%
↓ $710
50%
↓ $705
50%
$0.00 Vol.
↑ $770
50%
↑ $765
50%
↑ $760
50%
↑ $755
50%
↑ $750
50%
↑ $745
50%
↑ $740
50%
↓ $735
50%
↓ $730
50%
↓ $725
50%
↓ $720
50%
↓ $715
50%
↓ $710
50%
↓ $705
50%
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 S&P 500 (SPY) "High" prices available at https://pythdata.app/explore/Equity.US.SPY%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.SPY%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 high 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.
Mercado abierto: Jun 5, 2026, 6:01 PM ET
Fuente de resolución
https://pythdata.app/explore/Equity.US.SPY%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 S&P 500 (SPY) "High" prices available at https://pythdata.app/explore/Equity.US.SPY%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.SPY%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 high 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.
Fuente de resolución
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...The S&P 500 has traded near record highs around 7,580–7,600 amid robust first-quarter earnings growth, with 84% of reporting companies beating estimates and EPS projected to rise 24% for full-year 2026. Strong AI-driven capital spending and margin expansion to 16% have supported the advance, while the labor market remains resilient with recent nonfarm payrolls exceeding forecasts. Moderating inflation trends and expectations for steady Federal Reserve policy have kept Treasury yields contained, bolstering equity valuations. The primary near-term catalyst is the May CPI release on June 10, which will shape rate-path expectations ahead of the June 16–17 FOMC meeting and updated economic projections. Market-implied odds embed this backdrop of earnings momentum tempered by data sensitivity.
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
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Cuidado con los enlaces externos.
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