The S&P 500 hovered near 7,765 in the week of September 21, 2026, closing at 7,764.70 on Monday after a 1.49% gain before finishing essentially flat Tuesday, remaining within 0.4% of its August record high of 7,798.99. AI-related momentum provided the dominant lift, with chipmakers including AMD surpassing $1 trillion in market value and Meta surging more than 11% on positive early reception to its Muse AI agent, while the broader Nasdaq notched record closes. Easing oil prices—Brent crude trading near or below $100 per barrel amid diplomatic signals in the Middle East—combined with 10-year Treasury yields settling around 4.93-4.95% to support risk assets, though financials lagged on margin concerns. The September FOMC meeting’s 25 basis point hike to a 3.75-4.00% target range and updated dot plot reinforced a hawkish policy path, with limited fresh economic data releases that week leaving sentiment anchored to corporate earnings trends and geopolitical developments. Traders priced in continued volatility around these levels given proximity to all-time highs and mixed sector performance.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated$17,850 Vol.
↑ $800
1%
↑ $795
3%
↑ $790
5%
↑ $785
12%
↑ $780
37%
↑ $775
78%
↓ $770
62%
↓ $765
25%
↓ $760
18%
↓ $755
8%
↓ $750
4%
↓ $745
1%
↓ $740
3%
↓ $735
1%
↓ $730
1%
$17,850 Vol.
↑ $800
1%
↑ $795
3%
↑ $790
5%
↑ $785
12%
↑ $780
37%
↑ $775
78%
↓ $770
62%
↓ $765
25%
↓ $760
18%
↓ $755
8%
↓ $750
4%
↓ $745
1%
↓ $740
3%
↓ $735
1%
↓ $730
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" 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.
Market Opened: Sep 21, 2026, 12:39 PM 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" 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.
Resolution Source
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...The S&P 500 hovered near 7,765 in the week of September 21, 2026, closing at 7,764.70 on Monday after a 1.49% gain before finishing essentially flat Tuesday, remaining within 0.4% of its August record high of 7,798.99. AI-related momentum provided the dominant lift, with chipmakers including AMD surpassing $1 trillion in market value and Meta surging more than 11% on positive early reception to its Muse AI agent, while the broader Nasdaq notched record closes. Easing oil prices—Brent crude trading near or below $100 per barrel amid diplomatic signals in the Middle East—combined with 10-year Treasury yields settling around 4.93-4.95% to support risk assets, though financials lagged on margin concerns. The September FOMC meeting’s 25 basis point hike to a 3.75-4.00% target range and updated dot plot reinforced a hawkish policy path, with limited fresh economic data releases that week leaving sentiment anchored to corporate earnings trends and geopolitical developments. Traders priced in continued volatility around these levels given proximity to all-time highs and mixed sector performance.
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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