TOTAL VOLUME:

$134.1b

24H VOL:

$141,541,542

24H TRANSACTIONS:

2,388,728,490

OPEN INTEREST:

$1,440,096,988

406,065

Markets across

30,522

events

MATCHED EVENTS:

2,692

PLATFORM COVERAGE:

5

Polymarket:

39%

VS.

Kalshi:

61%

BETA

Science and Technology

SPY (SPY) Up or Down on June 15?

polymarket

limitless

SPY (SPY) Up or Down on June 15?

Volume:

$29,439

SPY (SPY) Up or Down on June 15?

- Polymarket

SPY (SPY) Up or Down on June 15? - Polymarket

1W

News

Positive

Negative

Neutral

Hover marker for details

Vol.

·

Resolved Jun 15, 2026

Closed: Jun 15, 4:00 PM EST

polymarket

Polymarket

Markets

Outcome

Trade

Chance %

Price

Spread

Liquidity

Volume

24h

7d

Open Interest

Ends in

Result

polymarket

SPY (SPY) Up or Down on June 15?

100%

Yes 100¢

No 0¢

0.1¢

N/A

$28,450

N/A

N/A

N/A

Settled

Yes

limitless

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

100%

Yes 100¢

No 0¢

1.7¢

N/A

$989

N/A

N/A

N/A

Settled

No

Total markets: 2

Description

This event group tracks whether the S&P 500 ETF (SPY) closes higher or lower on June 15, 2026, compared to the most recent prior trading day (June 12, 2026, when SPY closed at $741.77666). Both platforms use Pyth as the authoritative price source and apply identical comparison logic.

PredictionHero - Resolution Divergence Alerts (RDA)

Divergence Detected

Issue: Tie-breaking rule divergence: Limitless resolves equality to Down, while Polymarket resolves to 50-50. All other resolution logic, sources, and edge-case handling are identical.Hero tip: If you expect SPY to close exactly equal to $741.77666 on June 15, Limitless and Polymarket will settle opposite outcomes. Monitor Pyth precision to 5 decimal places. For all other scenarios (Up or Down movement), both platforms resolve identically.

Critical divergence points:

Limitless: Resolves to Down if June 15 Close equals June 12 Close ($741.77666). Quote: 'Otherwise, this market will resolve to Down.' No explicit tie-breaking rule; equality falls into the default Down outcome.
Polymarket: Resolves to 50-50 if June 15 Close equals June 12 Close. Quote: 'If the two specified closing prices are exactly equal, this market will resolve 50-50.'

Our PredictionHero Resolution Divergence Alerts (RDA) are there to help users identify potential differences across platforms. They do not replace or supersede the official rules and description of any prediction market. Users are solely responsible for reviewing and understanding the applicable rules and resolution criteria before placing any trade or bet. If you notice a potential inconsistency, discrepancy, or error in an alert, please report it to our team so we can review and improve the accuracy of our data.

Polymarket

This market will resolve to "Up" if the Close price for S&P 500 (SPY) on June 15, 2026 is higher than the Close price for S&P 500 (SPY) on the most recent prior trading day. This market will resolve to "Down" if the Close price for S&P 500 (SPY) on June 15, 2026 is lower than the Close price for S&P 500 (SPY) on the most recent prior trading day. E.g., ordinarily, a market on Monday would refer to the previous Friday for its most recent closing price, unless that Friday were a market holiday, in which case it would refer to Thursday, or the next most recent trading day. If the two specified closing prices are exactly equal, this market will resolve 50-50. Closing prices will be used exactly as published by Pyth, without rounding. If S&P 500 (SPY) does not trade at all during the regular session, the market will resolve 50-50. For a standard full trading session, the closing price refers to the Pyth "Close" value of the 1-minute candle corresponding to the final minute of regular trading hours on the primary exchange. If either of the relevant days has no valid Pyth Close value for the 1-minute candle corresponding to the end of regular trading hours on the primary exchange, the market will use the last valid Pyth price achieved during the regular trading hours of the primary exchange as the effective closing 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 the listed security trades will be used to determine the closing price for that day. 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. In the event of a stock split, reverse stock split, or similar corporate action affecting the listed security during the listed time frame, this market will resolve based on split-adjusted prices as displayed on Pyth. The resolution source for this market will be Pyth, specifically the "Close" values for the relevant 1-minute candle available at https://pythdata.app/explore/Equity.US.SPY%2FUSD. 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).

Limitless

This market will resolve to "Up" if the Close price for S&P 500 ETF (Pyth SPY/USD) on June 15, 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 12, 2026, was $741.77666. 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 15, 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.

Frequently asked questions

Prediction markets like these operate independently of traditional analyst price targets, instead aggregating live trader conviction through real-money stakes. While equity analysts publish longer-term outlooks, this market focuses on a single-day binary outcome—a much tighter prediction window. Traders here incorporate intraday volatility, economic data releases, Fed communications, and overnight futures moves into their pricing. The result is often more reactive and granular than consensus forecasts, making it a useful cross-check for short-term directional bias. Both approaches have merit; markets excel at capturing immediate sentiment, while analysts provide fundamental context.

Polymarket and Limitless can show different implied probabilities for the same outcome because of liquidity, fee structure, participant mix, and how each venue defines the contract. Each platform attracts different trader demographics, liquidity pools, and fee structures, which can create temporary price gaps even on identical events. Polymarket and Limitless may see unequal order flow at any given moment, leading one venue to price the up outcome slightly higher or lower than the other. Arbitrage traders typically exploit these spreads, but friction—withdrawal delays, platform fees, or slippage on large orders—can prevent instant convergence. Monitoring both venues gives you a fuller picture of true market uncertainty and helps identify mispriced outcomes.