Unknown is not a favourable signal. It means the current providers did not confirm that fact, so HyperFX excludes it from positive claims.
ETHEREUM · STALE
Torch $TORCH
0x385f3ab74e8d7ec8b8c763ce8032e680138c1e8dPriceUS$0.0000046LiquidityUS$4,302.04
Last updated: · DexScreener
即時證據
觀測價格
Scores describe observed data, not future returns.
- 資料覆蓋率 · Detected risk
- 83%
- 資料覆蓋率 · Momentum
- 60%
用簡單語言說明目前證據
已發現風險為 15/100，資料覆蓋率為 72%。觀測流動性為 US$4,302.04，24 小時成交量為 US$145.91萬。這些是目前證據，不是安全認證或收益預測。
Market activity
- Price
- US$0.0000046
- Liquidity
- US$4,302.04
- 24h volume
- US$145.91萬
- Market cap
- US$4,604.00
- Pair age
- 1d
Contract signals
- 合約驗證
- Yes
- 蜜罐模擬
- No
- Transfer fee
- 0 bps
- Largest token account
- 16.98%
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
- Liquidity
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
04 · APPEND ONLY
Read score methodology →Observed history
Last updatedDetected riskMomentumLiquidityData coverage
1563US$4,302.0472%
772US$80,326.4572%
770US$98,238.7475%
072US$10.36萬75%
777US$84,722.5275%
——US$46,765.060%
Recent changes
Liquidity decreased
Observed liquidity changed -94.6% since the preceding snapshot.
Price decreased materially
Observed price changed -99.5% since the preceding snapshot.
Price decreased materially
Observed price changed -35.3% since the preceding snapshot.
Liquidity increased
Observed liquidity changed +22.3% since the preceding snapshot.
Price increased materially
Observed price changed +58.6% 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.