Strong corporate earnings momentum, with S&P 500 companies posting 18% year-over-year growth and 18% positive surprises in Q1 2026 results reported through early May, underpins current trader sentiment for the index during the week of May 18. The benchmark closed near 7,400 after seven straight weekly gains and multiple all-time highs, fueled by AI-driven tech outperformance and resilient risk appetite that has offset elevated oil prices and Middle East tensions. Key upcoming catalysts include the May 20 release of FOMC April meeting minutes, which could clarify the path for policy rates amid persistent inflation concerns, alongside U.S. jobless claims and international data releases. This backdrop positions market-implied odds around sustained levels near recent peaks, though any hawkish signals or oil spikes could introduce near-term volatility.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated↑ $770
9%
↑ $765
10%
↑ $760
18%
↑ $755
34%
↑ $750
51%
↑ $745
72%
↑ $740
72%
↓ $735
67%
↓ $730
55%
↓ $725
43%
↓ $720
31%
↓ $715
24%
↓ $710
13%
↓ $705
5%
$1,663 Vol.
↑ $770
9%
↑ $765
10%
↑ $760
18%
↑ $755
34%
↑ $750
51%
↑ $745
72%
↑ $740
72%
↓ $735
67%
↓ $730
55%
↓ $725
43%
↓ $720
31%
↓ $715
24%
↓ $710
13%
↓ $705
5%
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.
Market Opened: May 15, 2026, 6:01 PM ET
Resolution Source
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.
Resolution Source
https://pythdata.app/explore/Equity.US.SPY%2FUSDResolver
0x65070BE91...Strong corporate earnings momentum, with S&P 500 companies posting 18% year-over-year growth and 18% positive surprises in Q1 2026 results reported through early May, underpins current trader sentiment for the index during the week of May 18. The benchmark closed near 7,400 after seven straight weekly gains and multiple all-time highs, fueled by AI-driven tech outperformance and resilient risk appetite that has offset elevated oil prices and Middle East tensions. Key upcoming catalysts include the May 20 release of FOMC April meeting minutes, which could clarify the path for policy rates amid persistent inflation concerns, alongside U.S. jobless claims and international data releases. This backdrop positions market-implied odds around sustained levels near recent peaks, though any hawkish signals or oil spikes could introduce near-term volatility.
Experimental AI-generated summary referencing Polymarket data. This is not trading advice and plays no role in how this market resolves. · Updated

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