Strong Q1 2026 earnings, with 84 percent of S&P 500 companies beating EPS estimates and record profit margins of 13.4 percent, have propelled the index to fresh all-time highs near 7,412 in mid-May. Tech and AI-driven sectors led the advance, supported by resilient labor data showing 4.3 percent unemployment and easing geopolitical tensions that lowered oil prices. Elevated valuations, including a CAPE ratio above 39, reflect trader optimism priced into current levels amid a transition at the Federal Reserve, where incoming Chair Kevin Warsh is expected to guide the June FOMC meeting. Upcoming catalysts include the remainder of earnings season and updated economic projections that could influence rate expectations and near-term equity momentum.
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$492,497 Vol.
↑ $800
3%
↑ $790
2%
↑ $780
4%
↑ $770
9%
↑ $760
32%
↑ $750
48%
↓ $730
74%
↓ $720
50%
↓ $710
26%
↓ $700
20%
↓ $690
15%
↓ $680
7%
↓ $670
2%
↓ $660
1%
↓ $650
2%
$492,497 Vol.
↑ $800
3%
↑ $790
2%
↑ $780
4%
↑ $770
9%
↑ $760
32%
↑ $750
48%
↓ $730
74%
↓ $720
50%
↓ $710
26%
↓ $700
20%
↓ $690
15%
↓ $680
7%
↓ $670
2%
↓ $660
1%
↓ $650
2%
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: Apr 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.
Strong Q1 2026 earnings, with 84 percent of S&P 500 companies beating EPS estimates and record profit margins of 13.4 percent, have propelled the index to fresh all-time highs near 7,412 in mid-May. Tech and AI-driven sectors led the advance, supported by resilient labor data showing 4.3 percent unemployment and easing geopolitical tensions that lowered oil prices. Elevated valuations, including a CAPE ratio above 39, reflect trader optimism priced into current levels amid a transition at the Federal Reserve, where incoming Chair Kevin Warsh is expected to guide the June FOMC meeting. Upcoming catalysts include the remainder of earnings season and updated economic projections that could influence rate expectations and near-term equity momentum.
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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