Dieser Markt wurde entschieden: Yes (98.8%)
Aktuelle implizite Wahrscheinlichkeit
Ja 98.8%
Marktqualitat
28 / 100
Niedrige Qualität24h-Volumen
0 €
Liquidität
0 €
Niedrige LiquiditätGeld / Brief
-
Marktdaten
Aktualisiert vor 20 Minuten
28. Juni 26, 7:0028. Juni 26, 8:00
98.8%
1.3%
Dieser Markt ist geschlossen. Demo-Trading ist nur bei offenen Märkten verfügbar.
Zugehörige Kryptos
Verwandte Märkte
What price will XRP hit in June?
72.009,5 €↓ 1.20: 100%
POLYMARKET
POLYMARKETXRP above ___ on June 28?
8681,8 €0.90: 100%POLYMARKET
POLYMARKETXRP price on June 28?
6588,3 €1.00-1.10: 98%POLYMARKET
POLYMARKET
XRP price at Jul 3, 2026 at 5pm EDT?
71 €$1.01991 or above: 64%
KALSHI
KALSHIXRP Up or Down on June 28?
3319,4 €Up: 4%POLYMARKET
POLYMARKETWhat price will XRP hit June 22-28?
2969,3 €↓ 1.00: 9%POLYMARKET
POLYMARKETIn diesen Themen aktiv
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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 DefiantRegeln
This market will resolve to "Up" if the price for Pyth XRP/USD on June 28, 2026, at 08:00 UTC is strictly higher than the price for Pyth XRP/USD on June 28, 2026, at 07:00 UTC.
- Otherwise, this market will resolve to "Down".
The price for Pyth XRP/USD captured on June 28, 2026, at 07:00 UTC was $1.04354453.
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 08:00 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.