The S&P 500 has traded near record highs around 7,674–7,800 in August 2026, supported by robust year-to-date gains of roughly 9% driven by double-digit earnings growth from technology and communication services sectors, led by AI infrastructure spending from companies like Nvidia, Alphabet, and Meta. Softer-than-expected July producer price data has reinforced expectations for steady Federal Reserve policy, reducing near-term rate-hike risks and supporting equity valuations amid Treasury yield stability. Seasonal August weakness, historically pronounced in midterm election years with average corrections near 18%, introduces downside pressure alongside elevated sentiment and stretched multiples, though upcoming inflation releases and corporate earnings updates remain key near-term catalysts for price action.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$145,011 Vol.
↑ $800
2%
↑ $790
5%
↑ $780
27%
↓ $730
5%
↓ $720
4%
↓ $710
6%
↓ $700
1%
↓ $690
1%
↓ $680
<1%
↓ $670
<1%
$145,011 Vol.
↑ $800
2%
↑ $790
5%
↑ $780
27%
↓ $730
5%
↓ $720
4%
↓ $710
6%
↓ $700
1%
↓ $690
1%
↓ $680
<1%
↓ $670
<1%
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.
Market Opened: Jul 25, 2026, 12:02 AM ET
Resolution Source
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.
Resolution Source
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...The S&P 500 has traded near record highs around 7,674–7,800 in August 2026, supported by robust year-to-date gains of roughly 9% driven by double-digit earnings growth from technology and communication services sectors, led by AI infrastructure spending from companies like Nvidia, Alphabet, and Meta. Softer-than-expected July producer price data has reinforced expectations for steady Federal Reserve policy, reducing near-term rate-hike risks and supporting equity valuations amid Treasury yield stability. Seasonal August weakness, historically pronounced in midterm election years with average corrections near 18%, introduces downside pressure alongside elevated sentiment and stretched multiples, though upcoming inflation releases and corporate earnings updates remain key near-term catalysts for price action.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated


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