Strong corporate earnings, led by technology and artificial-intelligence leaders, have propelled the S&P 500 to repeated record highs near 7,410 in mid-May 2026, extending April’s 10.4 percent advance. Traders are focusing on robust first-quarter results, with 84 percent of S&P 500 companies beating earnings expectations and information-technology shares outperforming the index by nearly ten percentage points. Persistent inflation pressures from elevated oil prices and Middle East tensions remain key risks, yet resilient consumer spending and continued AI capital spending support current momentum. With no Federal Reserve meeting scheduled this month, upcoming speeches from policymakers and any further earnings updates could influence near-term price action and volatility measures.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · ZaktualizowanoWhat will S&P 500 (SPY) hit in May 2026?
$484,779 Wol.
↑ $800
2%
↑ $790
2%
↑ $780
4%
↑ $770
10%
↑ $760
32%
↑ $750
48%
↓ $730
70%
↓ $720
51%
↓ $710
25%
↓ $700
20%
↓ $690
15%
↓ $680
8%
↓ $670
3%
↓ $660
2%
↓ $650
2%
$484,779 Wol.
↑ $800
2%
↑ $790
2%
↑ $780
4%
↑ $770
10%
↑ $760
32%
↑ $750
48%
↓ $730
70%
↓ $720
51%
↓ $710
25%
↓ $700
20%
↓ $690
15%
↓ $680
8%
↓ $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.
Rynek otwarty: May 11, 2026, 9:16 PM ET
Źródło rozstrzygnięcia
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) "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.
Źródło rozstrzygnięcia
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...Strong corporate earnings, led by technology and artificial-intelligence leaders, have propelled the S&P 500 to repeated record highs near 7,410 in mid-May 2026, extending April’s 10.4 percent advance. Traders are focusing on robust first-quarter results, with 84 percent of S&P 500 companies beating earnings expectations and information-technology shares outperforming the index by nearly ten percentage points. Persistent inflation pressures from elevated oil prices and Middle East tensions remain key risks, yet resilient consumer spending and continued AI capital spending support current momentum. With no Federal Reserve meeting scheduled this month, upcoming speeches from policymakers and any further earnings updates could influence near-term price action and volatility measures.
Eksperymentalne podsumowanie AI odwołujące się do danych Polymarket. To nie jest porada handlowa i nie ma wpływu na rozstrzyganie tego rynku. · Zaktualizowano
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