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  1. Prediction Markets
  2. Solana
  3. SOL Up or Down - Hourly
SOL Up or Down - Hourly

SOL Up or Down - Hourly

SolanaCryptoHourly
LimitlessLimitlessClosedCheck availabilityNo KYC

This market resolved: Yes (96.5%)

Current implied probability
Yes
Yes 96.5%
Market quality

28 / 100

Low quality
24h Volume

$0

Liquidity

$0

Low liquidity
Bid / Ask

-

Market data

Updated 1 hour ago

Lagging
Jun 23, 26, 9:00 AMJun 23, 26, 10:00 AM
Outcome24hChance
Yes
Yes
96.5%
No
No
3.5%

This market has closed. Mock trading is available on open markets only.

Rules

This market will resolve to "Up" if the price for Pyth SOL/USD on June 23, 2026, at 10:00 UTC is strictly higher than the price for Pyth SOL/USD on June 23, 2026, at 09:00 UTC.

Limitless
  • Otherwise, this market will resolve to "Down".


    The price for Pyth SOL/USD captured on June 23, 2026, at 09:00 UTC was $68.62564572.


    Resolution source: Pyth SOL/USD price feed.

  • Other exchanges, spot markets, and oracles will not be used.


    If Pyth is briefly missing data at exactly 10:00 UTC on June 23, 2026, the next available Pyth price within 5 seconds will be used for the affected timestamp.


    In the rare event of a longer Pyth outage, the market will be resolved manually by the Limitless team using the closest available Pyth price.

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Active in these topics

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Related News

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Rules

This market will resolve to "Up" if the price for Pyth SOL/USD on June 23, 2026, at 10:00 UTC is strictly higher than the price for Pyth SOL/USD on June 23, 2026, at 09:00 UTC.

Limitless
  • Otherwise, this market will resolve to "Down".


    The price for Pyth SOL/USD captured on June 23, 2026, at 09:00 UTC was $68.62564572.


    Resolution source: Pyth SOL/USD price feed.

  • Other exchanges, spot markets, and oracles will not be used.


    If Pyth is briefly missing data at exactly 10:00 UTC on June 23, 2026, the next available Pyth price within 5 seconds will be used for the affected timestamp.


    In the rare event of a longer Pyth outage, the market will be resolved manually by the Limitless team using the closest available Pyth price.