The S&P 500, trading near 7,358 as of late June 2026 after reaching record highs above 7,620 earlier in the month, reflects a market up roughly 10% year-to-date amid resilient corporate earnings and AI-driven sector leadership. Traders are focused on the upcoming July 29 FOMC meeting, June employment data due early in the month, and CPI and PCE inflation releases, which will shape expectations for monetary policy and interest rate paths. Recent volatility around all-time highs, combined with Treasury yield movements and equity valuation metrics, underscores sensitivity to labor market strength and inflation trajectory as key swing factors for July price levels.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日↑ $800
43%
↑ $790
44%
↑ $780
51%
↑ $770
50%
↑ $760
50%
↑ $750
50%
↑ $740
50%
↓ $730
51%
↓ $720
50%
↓ $710
50%
↓ $700
50%
↓ $690
50%
↓ $680
50%
↓ $670
43%
$0.00 Vol.
↑ $800
43%
↑ $790
44%
↑ $780
51%
↑ $770
50%
↑ $760
50%
↑ $750
50%
↑ $740
50%
↓ $730
51%
↓ $720
50%
↓ $710
50%
↓ $700
50%
↓ $690
50%
↓ $680
50%
↓ $670
43%
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.
マーケット開始日: Jun 25, 2026, 12:01 AM ET
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.
The S&P 500, trading near 7,358 as of late June 2026 after reaching record highs above 7,620 earlier in the month, reflects a market up roughly 10% year-to-date amid resilient corporate earnings and AI-driven sector leadership. Traders are focused on the upcoming July 29 FOMC meeting, June employment data due early in the month, and CPI and PCE inflation releases, which will shape expectations for monetary policy and interest rate paths. Recent volatility around all-time highs, combined with Treasury yield movements and equity valuation metrics, underscores sensitivity to labor market strength and inflation trajectory as key swing factors for July price levels.
Polymarketデータを参照したAI生成の実験的な要約。これは取引アドバイスではなく、このマーケットの解決方法には一切関係ありません。 · 更新日
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