Strong first-quarter earnings results, with S&P 500 companies beating estimates by 20.7% and delivering 27.1% blended earnings growth, have supported the index near 7,400–7,500 levels in mid-May 2026. However, April CPI accelerating to 3.8% year-over-year—the highest since 2023—has shifted market-implied odds toward potential Federal Reserve rate hikes by year-end, with the policy rate currently steady at 3.50–3.75%. This inflation trajectory, driven by energy and shelter costs, tempers enthusiasm despite resilient consumer spending. Traders are now monitoring upcoming FOMC communications and May economic releases for signals on whether tighter monetary policy will weigh on valuations or if earnings momentum can sustain further gains.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于$477,877 交易量
↑ $800
2%
↑ $790
1%
↑ $780
4%
↑ $770
11%
↑ $760
32%
↑ $750
48%
↓ $730
70%
↓ $720
53%
↓ $710
25%
↓ $700
20%
↓ $690
15%
↓ $680
7%
↓ $670
3%
↓ $660
2%
↓ $650
2%
$477,877 交易量
↑ $800
2%
↑ $790
1%
↑ $780
4%
↑ $770
11%
↑ $760
32%
↑ $750
48%
↓ $730
70%
↓ $720
53%
↓ $710
25%
↓ $700
20%
↓ $690
15%
↓ $680
7%
↓ $670
3%
↓ $660
2%
↓ $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) "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 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.
市场开放时间: May 11, 2026, 9:16 PM 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) "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 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.
Strong first-quarter earnings results, with S&P 500 companies beating estimates by 20.7% and delivering 27.1% blended earnings growth, have supported the index near 7,400–7,500 levels in mid-May 2026. However, April CPI accelerating to 3.8% year-over-year—the highest since 2023—has shifted market-implied odds toward potential Federal Reserve rate hikes by year-end, with the policy rate currently steady at 3.50–3.75%. This inflation trajectory, driven by energy and shelter costs, tempers enthusiasm despite resilient consumer spending. Traders are now monitoring upcoming FOMC communications and May economic releases for signals on whether tighter monetary policy will weigh on valuations or if earnings momentum can sustain further gains.
基于Polymarket数据的AI实验性摘要。这不是交易建议,也不影响该市场的结算方式。 · 更新于
警惕外部链接哦。
警惕外部链接哦。
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