TOTAL VOLUME:
$134b
24H VOL:
$107,351,958
24H TRANSACTIONS:
2,388,728,490
OPEN INTEREST:
$1,416,970,024
400,720
Markets across
30,097
events
MATCHED EVENTS:
2,633
PLATFORM COVERAGE:
5
Polymarket:
39%
VS.
Kalshi:
61%
Closed: Jun 2, 5:00 PM EST
Kalshi
Ripple's price will fall within specific price bands on June 2, 2026, measured by a 60-second average at 5 PM EDT.
Prediction market odds on Kalshi reflect trader consensus on where XRP will trade by June 2, 2026 at 5pm EDT, incorporating both technical analysis and macro sentiment. These odds often diverge from current spot prices because they embed forward-looking expectations about adoption, regulatory clarity, and macroeconomic conditions over the next 18+ months. Comparing Kalshi odds to analyst price targets and on-chain metrics can reveal whether the market is pricing in bullish or bearish scenarios. Spot prices reflect only today's supply and demand, whereas prediction odds integrate collective bets on future price discovery.
This market resolves on Jun 2, 2026, at which point the XRP price at 5pm EDT on June 2, 2026 is locked in and compared against the predefined price brackets. The outcome is determined by which range XRP's spot price falls into at that exact moment. Resolution typically uses a trusted price feed or exchange snapshot to eliminate ambiguity. Once the reference price is confirmed, the winning bracket is declared and all shares in that outcome pay out at full value, while losing brackets expire worthless.
Major catalysts for XRP price movement include regulatory developments around cryptocurrency classification and Ripple's legal status, institutional adoption of the XRP Ledger, macroeconomic shifts affecting risk appetite, and Bitcoin or Ethereum price swings that often drag altcoins along. Central bank policy, stablecoin regulation, and cross-border payment adoption rates also influence XRP's trajectory. Technical milestones on the XRP Ledger, partnerships with major financial institutions, and changes in market sentiment toward decentralized finance could shift trader expectations significantly. Monitoring these factors helps predict which price bracket is most likely at resolution.