**Strong August CPI data and elevated oil prices have anchored trader focus on the S&P 500 during the week of September 7, 2026, reinforcing expectations for a Federal Reserve rate hike at the upcoming FOMC meeting.** The index traded between roughly 7,580 and 7,718 amid volatility, closing the week near 7,656–7,663 after a Friday rebound. Hotter-than-expected consumer prices, with gasoline costs contributing, lifted 10-year Treasury yields toward 5% and pushed implied probabilities of a September hike above 85–90% per futures markets. This reduced uncertainty but weighed on valuations after the benchmark had already pulled back about 2% from its August 13 record near 7,799. Tech earnings from Oracle and AI-related names like Dell provided support, while broader concerns over sticky inflation and energy costs shaped positioning. Upcoming data and the Fed decision remain key near-term catalysts.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jourQu'est-ce que le S&P 500 (ESPION) frappera la semaine du 7 septembre 2026 ?
$48,454 Vol.
↑ 800 $
Non
↑ 795 $
Non
↑ 790 $
Non
↑ 785 $
Non
↑ 780 $
Non
↑ 775 $
Non
↑ 770 $
Non
↓ 765 $
Oui
↓ 760 $
Non
↓ 755 $
Non
↓ 750 $
Non
↓ 745 $
Non
↓ 740 $
Non
↓ 735 $
Non
↓ 730 $
Non
↑ 765 $
Oui
↓ 765 $
Oui
↑ 760 $
Oui
↓ 760 $
Oui
$48,454 Vol.
↑ 800 $
Non
↑ 795 $
Non
↑ 790 $
Non
↑ 785 $
Non
↑ 780 $
Non
↑ 775 $
Non
↑ 770 $
Non
↓ 765 $
Oui
↓ 760 $
Non
↓ 755 $
Non
↓ 750 $
Non
↓ 745 $
Non
↓ 740 $
Non
↓ 735 $
Non
↓ 730 $
Non
↑ 765 $
Oui
↓ 765 $
Oui
↑ 760 $
Oui
↓ 760 $
Oui
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" and "Low" 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/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.
Marché ouvert : Sep 4, 2026, 6:01 PM ET
Source de résolution
https://pythdata.app/explore/Equity.US.SPY%2FUSDRésolveur
0x65070be91...Résultat proposé: Non
Aucune contestation
Résultat final: Non
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" and "Low" 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/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.
Source de résolution
https://pythdata.app/explore/Equity.US.SPY%2FUSDRésolveur
0x65070be91...Résultat proposé: Non
Aucune contestation
Résultat final: Non
**Strong August CPI data and elevated oil prices have anchored trader focus on the S&P 500 during the week of September 7, 2026, reinforcing expectations for a Federal Reserve rate hike at the upcoming FOMC meeting.** The index traded between roughly 7,580 and 7,718 amid volatility, closing the week near 7,656–7,663 after a Friday rebound. Hotter-than-expected consumer prices, with gasoline costs contributing, lifted 10-year Treasury yields toward 5% and pushed implied probabilities of a September hike above 85–90% per futures markets. This reduced uncertainty but weighed on valuations after the benchmark had already pulled back about 2% from its August 13 record near 7,799. Tech earnings from Oracle and AI-related names like Dell provided support, while broader concerns over sticky inflation and energy costs shaped positioning. Upcoming data and the Fed decision remain key near-term catalysts.
Résumé expérimental généré par IA à partir des données Polymarket. Ceci n'est pas un conseil de trading et ne joue aucun rôle dans la résolution de ce marché. · Mis à jour
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