Perle

Perle

PRL#883Solana
$0.1167+4.22%
ContratoPERLEQKU…fs6pDs

Perle (PRL) cotiza actualmente a $0.1167, con una subida del 4.22% en las últimas 24 horas, y ocupa el puesto n.º 883 por capitalización de mercado. En la última semana baja un 2.73%. Esto sitúa a Perle un 75.06% por debajo de su máximo histórico de $0.4678, marcado el 19 de agosto de 2026. Su volumen de negociación en 24 horas es de 1,88 M US$.

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Rendimiento del precio

1H
+0.07%
1D
+4.22%
1S
-2.73%
1M
-32.86%
1A
—

Datos de mercado

Precio
$0.1167
Capitalización de mercado
$20,416,441.00
Volumen 24h
$1,876,430.00
Máximo 24h
$0.1192
Mínimo 24h
$0.112
Suministro circulante
175.00M
Suministro total
1.00B
Suministro máximo
1.00B
Valoración totalmente diluida
$116,665,374.00
Máximo histórico
$0.4678
-75.06% desde ATH · 8/19/2026
Mínimo histórico
$0.1046
+11.59% desde ATL · 9/15/2026
Última actualización
9/30/2026, 2:34:40 AM

Mercados

#ExchangeParPrecioVolumen 24hSpread
1
LBank
PRL/USDT$0.1168$664,691.000.36%Operar
2
Upbit
PRL/KRW$0.1168$529,632.000.63%Operar
3
Bithumb
PRL/KRW$0.116$108,893.000.64%Operar
4
Gate
PRL/USDT$0.1165$89,634.000.17%Operar
5
Toobit
PRL/USDT$0.1167$68,836.000.34%Operar
6
CoinW
PRL/USDT$0.1166$60,819.001.02%Operar
7
MEXC
PRL/USDT$0.1166$58,102.000.26%Operar
8
BingX
PRL/USDT$0.1168$55,200.000.34%Operar
9
MEXC
PRL/USDC$0.1166$54,832.000.68%Operar
10
BloFin
PRL/USDT$0.1166$48,355.000.27%Operar
1
LBankPRL/USDT
$0.1168
2
UpbitPRL/KRW
$0.1168
3
BithumbPRL/KRW
$0.116
4
GatePRL/USDT
$0.1165
5
ToobitPRL/USDT
$0.1167
6
CoinWPRL/USDT
$0.1166
7
MEXCPRL/USDT
$0.1166
8
BingXPRL/USDT
$0.1168
9
MEXCPRL/USDC
$0.1166
10
BloFinPRL/USDT
$0.1166
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Preguntas frecuentes sobre Perle

Sobre 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.

Enlaces