資料覆蓋率: 83%
資料覆蓋率 83%boar $boar
0x0cbf291ba052174879d90bf781df1a5f2bc5bb07Last updated: · DexScreener
觀測價格
資料覆蓋率: 66%
資料覆蓋率 66%Scores describe observed data, not future returns.
資料覆蓋率 75%用簡單語言說明目前證據
已發現風險為 0/100,資料覆蓋率為 75%。觀測流動性為 US$49.41萬,24 小時成交量為 US$1006.92萬。這些是目前證據,不是安全認證或收益預測。
Market activity
- Price
- US$0.00002549
- Liquidity
- US$49.41萬
- 24h volume
- US$1006.92萬
- Market cap
- US$254.99萬
- Pair age
- 1d
Contract signals
- 合約驗證
- Yes
- 蜜罐模擬
- No
- Transfer fee
- 0 bps
- Largest token account
- 12.78%
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
已發現風險
—
已觀測的積極因素
- 合約驗證: Yes
- 蜜罐模擬: No
- Transfer fee: 0
Unknown
- 流動性鎖定
Observed history
Recent changes
Price increased materially
Observed price changed +24.9% since the preceding snapshot.
Price decreased materially
Observed price changed -20.2% since the preceding snapshot.
Historical 5x move observed
Price reached 5x the immutable detection price while the liquidity guard remained satisfied.
Liquidity increased
Observed liquidity changed +106.8% since the preceding snapshot.
Trading volume accelerated
Observed 24h volume increased 311.6% since the preceding snapshot.
Price increased materially
Observed price changed +286.9% since the preceding snapshot.
Historical 2x move observed
Price reached 2x the immutable detection price while the liquidity guard remained satisfied.
Liquidity increased
Observed liquidity changed +63.1% since the preceding snapshot.
Price increased materially
Observed price changed +137.9% since the preceding snapshot.
First evidence snapshot
HyperFX stored its first observed market and mint facts for this token.
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?+
代幣的標準身分由所選網路和本頁顯示的合約地址共同確定。
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.