Strong first-quarter earnings results, with 84% of S&P 500 companies beating EPS estimates by an aggregate 20.7% and revenue surprises also exceeding historical averages, have fueled the index's recent advance to record levels above 7,400 in mid-May 2026. Artificial intelligence-driven momentum in technology and semiconductor sectors continues to dominate gains, offsetting pressures from elevated oil prices tied to Middle East tensions. Year-to-date returns stand near 8%, supported by upward revisions to 2026 index targets from major brokerages amid resilient corporate fundamentals. Key near-term catalysts include additional earnings releases, Federal Reserve communications on monetary policy, and any de-escalation signals that could ease energy cost concerns and influence risk appetite.
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$490,334 Vol.
↑ $800
3%
↑ $790
1%
↑ $780
5%
↑ $770
9%
↑ $760
32%
↑ $750
48%
↓ $730
74%
↓ $720
51%
↓ $710
26%
↓ $700
20%
↓ $690
15%
↓ $680
7%
↓ $670
2%
↓ $660
1%
↓ $650
2%
$490,334 Vol.
↑ $800
3%
↑ $790
1%
↑ $780
5%
↑ $770
9%
↑ $760
32%
↑ $750
48%
↓ $730
74%
↓ $720
51%
↓ $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 first-quarter earnings results, with 84% of S&P 500 companies beating EPS estimates by an aggregate 20.7% and revenue surprises also exceeding historical averages, have fueled the index's recent advance to record levels above 7,400 in mid-May 2026. Artificial intelligence-driven momentum in technology and semiconductor sectors continues to dominate gains, offsetting pressures from elevated oil prices tied to Middle East tensions. Year-to-date returns stand near 8%, supported by upward revisions to 2026 index targets from major brokerages amid resilient corporate fundamentals. Key near-term catalysts include additional earnings releases, Federal Reserve communications on monetary policy, and any de-escalation signals that could ease energy cost concerns and influence risk appetite.
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
外部リンクに注意してください。
外部リンクに注意してください。
よくある質問