Perle
PRL#882Solana$0.1169+3.71%
Contrat
PERLEQKU…fs6pDsPerle (PRL) se négocie actuellement à $0.1169, en hausse de 3.71% sur les dernières 24 heures, et se classe au rang n° 882 par capitalisation boursière. Sur la semaine écoulée, il recule de 4.19%. Cela place Perle 75.00% sous son plus haut historique de $0.4678, atteint le 19 août 2026. Son volume d’échanges sur 24 heures s’élève à 1,83 M $US.
Chargement...Performance du prix
1H
+0.06%
1J
+3.71%
1S
-4.19%
1M
-32.44%
1A
—
Données de marché
Prix
$0.1169
Capitalisation
$20,463,967.00
Volume 24h
$1,829,409.00
Plus haut 24h
$0.1192
Plus bas 24h
$0.1131
Offre en circulation
175.00M
Offre totale
1.00B
Offre maximale
1.00B
Valorisation entièrement diluée
$116,936,954.00
Plus haut historique
$0.4678
-75% depuis ATH · 8/19/2026
Plus bas historique
$0.1046
+11.86% depuis ATL · 9/15/2026
Dernière mise à jour
9/30/2026, 4:11:50 AM
Marchés
| # | Plateforme | Paire | Prix | Volume 24h | Spread | |
|---|---|---|---|---|---|---|
| 1 | PRL/USDT | $0.1168 | $662,837.00 | 0.36% | Trader | |
| 2 | PRL/KRW | $0.1173 | $501,402.00 | 0.63% | Trader | |
| 3 | PRL/KRW | $0.1166 | $100,360.00 | 0.63% | Trader | |
| 4 | PRL/USDT | $0.1169 | $83,215.00 | 0.26% | Trader | |
| 5 | PRL/USDT | $0.117 | $67,637.00 | 0.43% | Trader | |
| 6 | PRL/USDT | $0.1168 | $58,540.00 | 0.26% | Trader | |
| 7 | PRL/USDT | $0.1171 | $58,040.00 | 1.19% | Trader | |
| 8 | PRL/USDT | $0.1172 | $55,251.00 | 0.27% | Trader | |
| 9 | PRL/USDC | $0.117 | $55,050.00 | 0.68% | Trader | |
| 10 | PRL/USDT | $0.1168 | $48,313.00 | 0.32% | Trader |
1
LBankPRL/USDT
$0.11682
UpbitPRL/KRW
$0.11733
BithumbPRL/KRW
$0.11664
GatePRL/USDT
$0.11695
ToobitPRL/USDT
$0.1176
MEXCPRL/USDT
$0.11687
CoinWPRL/USDT
$0.11718
BingXPRL/USDT
$0.11729
MEXCPRL/USDC
$0.11710
BloFinPRL/USDT
$0.11681 / 2
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À propos de Perle
Perle Labs is a web3-powered AI platform on Solana that connects verified experts with enterprises and research teams to train and improve AI models. Professionals, researchers, and domain specialists earn rewards and build on-chain reputations by completing high-quality data annotation and validation tasks.
Pain points the project addresses includes:
Human Data Bottlenecks: Continuous need for high-volume, high-quality data annotation, evaluation, and RLHF, but existing pipelines lack scalability.
Low-Quality Feedback: Reliance on generic labor pools without domain expertise, leading to noisy signals and degraded AI accuracy.
Lack of Verifiability: Opaque processes without audit trails for contributor performance and quality.