TOTAL VOLUME:

$134b

24H VOL:

$103,397,351

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,410,176,180

399,592

Markets across

30,097

events

MATCHED EVENTS:

2,622

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

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S&P 500 ETF (SPY) Up or Down - Daily
limitless

S&P 500 ETF (SPY) Up or Down - Daily

Volume:
$3,657

S&P 500 ETF (SPY) Up or Down - Daily

 - Limitless

S&P 500 ETF (SPY) Up or Down - Daily - Limitless

1W

News

Positive

Negative

Neutral

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Vol.

·

Resolved Sep 14, 2026

Closed: Sep 14, 4:00 PM EST

limitless

Limitless

View
Outcome
Trade
Chance %
Price
Spread
Liquidity
Volume
24h
7d
Open Interest
Ends in
Result
limitless

S&P 500 ETF (SPY) Up or Down - Daily

View
0%
21%
Yes 0¢No 100¢
0.8¢
N/A
$3,657
N/A
N/A
N/A
Settled
No
Total markets: 1

Description

This market will resolve to "Up" if the price for S&P 500 ETF (Pyth SPY/USD) on September 14, 2026 is strictly higher than the price for S&P 500 ETF (Pyth SPY/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for S&P 500 ETF (Pyth SPY/USD) captured on September 11, 2026 was $764.22000. 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 price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If S&P 500 ETF (SPY) does not trade at all during the regular session on September 14, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which SPY is listed will be used to determine the 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.

Limitless

This market will resolve to "Up" if the price for S&P 500 ETF (Pyth SPY/USD) on September 14, 2026 is strictly higher than the price for S&P 500 ETF (Pyth SPY/USD) on the most recent prior trading day. Otherwise, this market will resolve to "Down". The price for S&P 500 ETF (Pyth SPY/USD) captured on September 11, 2026 was $764.22000. 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 price with the previous Friday's price, unless that Friday was a market holiday. In that case, it would compare against Thursday's price, or the next most recent trading day. If S&P 500 ETF (SPY) does not trade at all during the regular session on September 14, 2026, this market will resolve to "Down". For a standard full trading session, the price for that trading day refers to the Pyth price at the end of regular trading hours on the primary exchange. If either relevant trading day has no valid Pyth price at the end of regular trading hours on the primary exchange, the last valid Pyth price published during that day's regular trading hours will be used as the effective price for that day. If no valid Pyth price exists for that trading day due to a system outage, data failure, or other technical disruption, the official price published by the primary exchange on which SPY is listed will be used to determine the 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.