Questo mercato si è risolto: No (98.7%)
Probabilità implicita attuale
Sì 1.3%
Qualita del mercato
28 / 100
Bassa qualitàVolume 24h
0 €
Liquidità
0 €
Bassa liquiditàBid / Ask
-
Dati di mercato
Aggiornato ieri
Obsoleto16 giu 26, 20:0017 giu 26, 20:00
Cronologia delle Probabilità
Yes1.3%
No98.7%
1.3%
98.7%
Questo mercato è chiuso. Il trading simulato è disponibile solo sui mercati aperti.
Disponibile anche su Kalshi
S&P 500 Daily Up/Down
Chiusi
Risolto
No (98%)
2%
98%
40 • Bassa qualitàSpread sconosciutoBassa liquidità
Volume totale312,3 €
Volume 24h312,3 €
KALSHIRegole
This market will resolve to "Up" if the Close price for S&P 500 ETF (Pyth SPY/USD) on June 17, 2026, is strictly higher than the Close price for S&P 500 ETF (Pyth SPY/USD) on the most recent prior trading day.
- Otherwise, this market will resolve to "Down".
The Close price for S&P 500 ETF (Pyth SPY/USD) captured on June 16, 2026, was $750.32005.
Resolution source: Pyth SPY/USD price feed.
- Other exchanges, spot markets, and oracles will not be used.
For example, a Monday market would ordinarily compare Monday's Close price with the previous Friday's Close price, unless that Friday was a market holiday.
- In that case, it would compare against Thursday's Close price, or the next most recent trading day.
If S&P 500 ETF (SPY) does not trade at all during the regular session on June 17, 2026, this market will resolve to "Down".
For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange.
If either relevant trading day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the last valid Pyth price during that day's regular trading hours will be used as the effective Close price.
If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which SPY is listed will be used to determine the Close price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting SPY during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.
I dati di confronto sono solo informativi. I prezzi e la liquidità possono variare.
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This market will resolve to "Up" if the Close price for S&P 500 ETF (Pyth SPY/USD) on June 17, 2026, is strictly higher than the Close price for S&P 500 ETF (Pyth SPY/USD) on the most recent prior trading day.
- Otherwise, this market will resolve to "Down".
The Close price for S&P 500 ETF (Pyth SPY/USD) captured on June 16, 2026, was $750.32005.
Resolution source: Pyth SPY/USD price feed.
- Other exchanges, spot markets, and oracles will not be used.
For example, a Monday market would ordinarily compare Monday's Close price with the previous Friday's Close price, unless that Friday was a market holiday.
- In that case, it would compare against Thursday's Close price, or the next most recent trading day.
If S&P 500 ETF (SPY) does not trade at all during the regular session on June 17, 2026, this market will resolve to "Down".
For a standard full trading session, the Close price refers to the "Close" value of the 1-minute Pyth candle corresponding to the final minute of regular trading hours on the primary exchange.
If either relevant trading day has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the last valid Pyth price during that day's regular trading hours will be used as the effective Close price.
If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official closing price published by the primary exchange on which SPY is listed will be used to determine the Close price for that day.
In the event of a stock split, reverse stock split, or similar corporate action affecting SPY during the relevant time frame, this market will resolve based on split-adjusted prices as displayed on Pyth.