Este mercado se resolvió: No (96.3%)
Probabilidad implícita actual
Sí 3.8%
Calidad del mercado
28 / 100
Baja calidadVolumen 24h
0 €
Liquidez
0 €
Baja liquidezCompra / Venta
-
Datos de mercado
Actualizado hace 37 minutos
28 jun 26, 12:0028 jun 26, 13:00
3.8%
96.3%
Este mercado ha cerrado. El trading simulado solo está disponible en mercados abiertos.
Criptos relacionadas
Mercados Relacionados
What price will XRP hit in June?
39 mil €↓ 1.20: 100%
POLYMARKET
POLYMARKETXRP above ___ on June 28?
9,1 mil €0.90: 100%POLYMARKET
POLYMARKETXRP price on June 28?
7,6 mil €1.00-1.10: 98%POLYMARKET
POLYMARKETXRP Up or Down on June 28?
5 mil €Up: 2%POLYMARKET
POLYMARKETWhat price will XRP hit June 22-28?
3 mil €↓ 1.00: 7%POLYMARKET
POLYMARKETXRP above ___ on June 29?
942,5 €0.60: 100%POLYMARKET
POLYMARKETActivos en estos temas
Noticias Relacionadas
Ripple CEO: Michael Saylor’s Bitcoin Strategy Has Hurt Crypto MarketBlockchain Reporter
Ripple CEO stays bullish on bitcoin but says Saylor's strategy has hurt cryptoCoindesk
XRP Price Prediction: The $1.06 Floor Is Cracking — Bears Eye $0.99 Before Any Real RecoveryBlockchain.News
Brad Garlinghouse slams Michael Saylor’s Bitcoin funding strategyCrypto News
XRP price prediction: Can XRP hold $1, or is $0.70 next?Crypto News
Ripple Launches RLUSD in Japan via SBI as Circle and Nomura Join Stablecoin RaceThe DefiantReglas
This market will resolve to "Up" if the price for Pyth XRP/USD on June 28, 2026, at 13:00 UTC is strictly higher than the price for Pyth XRP/USD on June 28, 2026, at 12:00 UTC.
- Otherwise, this market will resolve to "Down".
The price for Pyth XRP/USD captured on June 28, 2026, at 12:00 UTC was $1.05133710.
Resolution source: Pyth XRP/USD price feed.
- Other exchanges, spot markets, and oracles will not be used.
If Pyth is briefly missing data at exactly 13:00 UTC on June 28, 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.