Strong first-quarter 2026 earnings from S&P 500 companies, with 84 percent beating EPS estimates and blended earnings growth reaching 27.1 percent, have anchored positive trader sentiment and driven the index to fresh record highs above 7,500 early in May. Technology and artificial intelligence-related shares led the advance, extending the April rally that delivered a 10.5 percent gain. Offsetting this momentum are elevated inflation readings, including April CPI at 3.3 percent year-over-year and rising energy prices, which contributed to the Federal Reserve’s decision to hold the federal funds rate at 3.50–3.75 percent at its April meeting amid multiple hawkish dissents. Market participants now focus on May economic releases and any further corporate results to gauge whether earnings momentum can overcome these headwinds and sustain current levels through month-end.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui$496,916 Vol.
↑ $800
3%
↑ $790
2%
↑ $780
4%
↑ $770
9%
↑ $760
24%
↑ $750
48%
↓ $730
79%
↓ $720
49%
↓ $710
26%
↓ $700
23%
↓ $690
21%
↓ $680
7%
↓ $670
2%
↓ $660
2%
↓ $650
2%
$496,916 Vol.
↑ $800
3%
↑ $790
2%
↑ $780
4%
↑ $770
9%
↑ $760
24%
↑ $750
48%
↓ $730
79%
↓ $720
49%
↓ $710
26%
↓ $700
23%
↓ $690
21%
↓ $680
7%
↓ $670
2%
↓ $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) "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.
Pasar Dibuka: Apr 25, 2026, 12:01 AM ET
Sumber Resolusi
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" 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.
Sumber Resolusi
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...Strong first-quarter 2026 earnings from S&P 500 companies, with 84 percent beating EPS estimates and blended earnings growth reaching 27.1 percent, have anchored positive trader sentiment and driven the index to fresh record highs above 7,500 early in May. Technology and artificial intelligence-related shares led the advance, extending the April rally that delivered a 10.5 percent gain. Offsetting this momentum are elevated inflation readings, including April CPI at 3.3 percent year-over-year and rising energy prices, which contributed to the Federal Reserve’s decision to hold the federal funds rate at 3.50–3.75 percent at its April meeting amid multiple hawkish dissents. Market participants now focus on May economic releases and any further corporate results to gauge whether earnings momentum can overcome these headwinds and sustain current levels through month-end.
Ringkasan eksperimental yang dihasilkan AI dengan referensi data Polymarket. Ini bukan saran trading dan tidak berperan dalam bagaimana pasar ini diselesaikan. · Diperbarui
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