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CARV Price

CARV
Rank 489

CARV (CARV) Price Live Chart

CARV (CARV) Price Today

CARV (CARV) price today is $0.1176, with a 24-hour trading volume of $84.09K and as such CARV (CARV) has a market cap of $59.69M, giving it a market dominance of 0.0036%. The CARV (CARV) price moved +0.25% in the last 24 hours.

CARV Price Data

  • 24h Turnover$84.09K
  • All-Time High(ATH)$1.57
  • 24h High$0.1182
  • All-Time Low(ATL)$0.106
  • 24h Low$0.1152

CARV Market Cap Infos

  • Market Cap$59.69M
  • Fully Diluted Valuation$117.6M
  • Market Cap/FDV50.76%
  • Market SentimentPositive

CARV Supply

  • Circulating Supply507.62M CARV
  • Total Supply1B CARV
  • Max Supply1B CARV

*Data is for reference only

CARV (CARV) Price Prediction

CARV(CARV) is predicted to average $0.1173 in 2026, with a potential swing between the lowest price $0.07272 and the highest price $0.1208. By 2031, CARV(CARV) price could reach to $0.3171, offering a potential +88.00% return from today’s CARV price.

Year
Minimum Price
Highest Price
Average Price
Change
2026
$0.07272
$0.1208
$0.1173
--
2027
$0.1107
$0.1643
$0.119
+1.00%
2028
$0.1062
$0.1742
$0.1416
+20.00%
2029
$0.0932
$0.2227
$0.1579
+34.00%
2030
$0.118
$0.2531
$0.1903
+61.00%
2031
$0.1796
$0.3171
$0.2217
+88.00%

CARV(CARV) Price History

CARV(CARV) price has moved +0.25% in the last 24 hours, and -7.18% in the past 7 days. The price of CARV(CARV) is -22.27% in the past 30 days, and -86.24% over the last year.

Time period
Change amount
% Change
1H
+$0.0003049
+0.26%
24H
+$0.0002932
+0.25%
7D
-$0.009096
-7.18%
30D
-$0.03369
-22.27%
1Y
-$0.737
-86.24%

CARV (CARV) Credibility Indicators

87.53
Reliability Score
PercentileTOP 5%

About CARV (CARV)

Contract

baseevm_1745756213

0xc08cd26...61c10aa8c

Explorers

basescan.org

Website

carv.io

Community

The CARV Protocol is a modular data layer that facilitates data exchange and value distribution across gaming, AI and ∞. It encompasses end-to-end data flow processes, including data verification, identity authentication, storage, processing, model training, and value distribution.

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