Perle

Perle

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

Perle (PRL) viene scambiato attualmente a $0.1167, in rialzo del 4.22% nelle ultime 24 ore, e si colloca al 883° posto per capitalizzazione di mercato. Nell’ultima settimana è in ribasso del 2.73%. Questo colloca Perle 75.06% al di sotto del suo massimo storico di $0.4678, segnato il 19 agosto 2026. Il suo volume di scambi nelle 24 ore è di 1,88 Mln USD.

Caricamento...

Performance del prezzo

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

Dati di mercato

Prezzo
$0.1167
Capitalizzazione di mercato
$20,416,441.00
Volume 24h
$1,876,430.00
Massimo 24h
$0.1192
Minimo 24h
$0.112
Offerta circolante
175.00M
Offerta totale
1.00B
Offerta massima
1.00B
Valutazione completamente diluita
$116,665,374.00
Massimo storico
$0.4678
-75.06% dall'ATH · 8/19/2026
Minimo storico
$0.1046
+11.59% dall'ATL · 9/15/2026
Ultimo aggiornamento
9/30/2026, 2:34:40 AM

Mercati

#ExchangeCoppiaPrezzoVolume 24hSpread
1
LBank
PRL/USDT$0.1168$664,691.000.36%Scambia
2
Upbit
PRL/KRW$0.1168$529,632.000.63%Scambia
3
Bithumb
PRL/KRW$0.116$108,893.000.64%Scambia
4
Gate
PRL/USDT$0.1165$89,634.000.17%Scambia
5
Toobit
PRL/USDT$0.1167$68,836.000.34%Scambia
6
CoinW
PRL/USDT$0.1166$60,819.001.02%Scambia
7
MEXC
PRL/USDT$0.1166$58,102.000.26%Scambia
8
BingX
PRL/USDT$0.1168$55,200.000.34%Scambia
9
MEXC
PRL/USDC$0.1166$54,832.000.68%Scambia
10
BloFin
PRL/USDT$0.1166$48,355.000.27%Scambia
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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Domande frequenti su Perle

Informazioni su 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.