数据覆盖率: 83%
数据覆盖率 83%BSC · LIVE
wrappedcat $wCat
0xb692e7f4424c4927a16446ad677386712c137777PriceUS$0.00001601LiquidityUS$13,303.43
Last updated: · DexScreener
GeckoTerminal · OHLCV
观测价格
数据覆盖率: 83%
数据覆盖率 83%Scores describe observed data, not future returns.
数据覆盖率 83%用简单语言说明当前证据
已发现风险为 22/100，数据覆盖率为 83%。观测流动性为 US$13,303.43，24 小时成交量为 US$91.27万。这些是当前证据，不是安全认证或收益预测。
Market activity
- Price
- US$0.00001601
- Liquidity
- US$13,303.43
- 24h volume
- US$91.27万
- Market cap
- US$16,011.00
- Pair age
- 22h
Contract signals
- 合约验证
- Yes
- 蜜罐模拟
- No
- Transfer fee
- 0 bps
- Largest token account
- 39.54%
Unknown is not a favourable signal. It means the current providers did not confirm that fact, so HyperFX excludes it from positive claims.
What this means
已发现风险
- Largest token account
- Liquidity
已观测的积极因素
- 合约验证: Yes
- 蜜罐模拟: No
- Transfer fee: 0
Unknown
- 流动性锁定
04 · APPEND ONLY
Read score methodology →Observed history
Last updatedDetected riskMomentumLiquidityData coverage
2225US$13,303.4383%
732US$21,581.8092%
1549US$32,804.9592%
——US$20,887.150%
Recent changes
Liquidity decreased
Observed liquidity changed -38.4% since the preceding snapshot.
Detected risk increased
Risk changed from 7 to 22. Data coverage is 83%.
Price decreased materially
Observed price changed -62.2% since the preceding snapshot.
Momentum changed
Momentum changed from 49 to 32. Data coverage is 100%.
Liquidity decreased
Observed liquidity changed -34.2% since the preceding snapshot.
Price decreased materially
Observed price changed -57.2% since the preceding snapshot.
Liquidity increased
Observed liquidity changed +57.1% since the preceding snapshot.
Price increased materially
Observed price changed +118.0% since the preceding snapshot.
Frequently asked questions
Is this token safe?+
HyperFX cannot certify a token as safe. The page lists detected risks and unknown facts so you can make a more informed decision.
What identifies this token?+
代币的标准身份由所选网络和本页显示的合约地址共同确定。
What does the risk score mean?+
A higher score means more risk was detected from known inputs. Missing inputs are shown separately as data coverage and never lower the score.