Probabilidade implícita atual
Sim 2.3%
Qualidade do mercado
32 / 100
Baixa qualidadeVolume 24h
95,3 €
Liquidez
0 €
Baixa liquidezCompra / Venda
-
Dados do mercado
Atualizado ontem
Desatualizado7/07/26, 20:007/07/26, 22:00
2.3%
97.7%
Este mercado fechou. O trading simulado só está disponível em mercados abertos.
Criptos relacionadas
Mercados Relacionados
What price will XRP hit in July?
10,7 mil €↓ 1.00: 51%
POLYMARKET
POLYMARKET
How high will XRP get in July?
9,3 mil €Above $1.30: 22%
KALSHI
KALSHIXRP above ___ on July 9?
8,5 mil €0.60: 100%POLYMARKET
POLYMARKETXRP price on July 9?
6,1 mil €1.00-1.10: 74%POLYMARKET
POLYMARKET
How low will XRP get in July?
2,7 mil €Below $1.00: 47%KALSHI
KALSHI
XRP price at Jul 9, 2026 at 5pm EDT?
2,5 mil €$1.11991 or above: 9%KALSHI
KALSHIAtivos nestes tópicos
Notícias Relacionadas
XRP Ledger hits 1M AI payments as Ripple-backed t54.ai launches hubCrypto News
XRP Ledger Upgrade Stalls as Validator Support Fails to Convert Node MajorityBlockchain Reporter
Beyond the XRP & Solana Hype: Why the Smart Money in 2026 is Eyeing Decentralized AI Like Stargate LLMBlockchain Reporter
XRP Logo Lands on Kansas Jayhawks Jerseys as Ripple Inks Multi-Year DealDecrypt
Ripple lands historic Kansas Jayhawks deal with XRP on team jerseysCrypto News
Ripple becomes Kansas Jayhawks sports sponsor with XRP patch to appear on jerseysThe BlockRegras
This market will resolve to "Up" if the price for Pyth XRP/USD on July 7, 2026, at 22:00 UTC is strictly higher than the price for Pyth XRP/USD on July 7, 2026, at 21:00 UTC.
- Otherwise, this market will resolve to "Down".
The price for Pyth XRP/USD captured on July 7, 2026, at 21:00 UTC was $1.11799400.
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 22:00 UTC on July 7, 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.