About BONK on ETH (BONK):
The current snapshot places BONK on ETH (BONK) at $0.000000000399296, supported by a $39.93K market cap and $2 24h volume. Liquidity reads as low turnover intensity (volume/market cap 0.00%) Expect more variability between exchanges when turnover is light..
Market assessment:
Bull score 77/100 suggests strong momentum with broad-based participation with broad participation across venues..
Windowed performance: 0.00% (24h), 14.38% (7d), 20.24% (30d). Short and medium windows are supportive, consistent with constructive momentum.
Near-term volatility appears restrained. Risk is assessed as Low, which implies more stable conditions with tighter volatility behavior Liquidity changes can alter the risk profile quickly..
BONK on ETH (BONK) is positioned in the Early phase,
typically associated with early-cycle setup where directional bias is still forming Participation often ramps gradually in early phases..
Tokenomics coverage is incomplete for this snapshot, so supply context is minimal here.
Conclusion: In summary, current conditions suggest a constructive environment for trend-following strategies. Update date: 2026-03-19.
YearBull Rank context
Most recent YearBull Rank reading for bonk-on-eth is #6625.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: smaller rank numbers are better.
- 7d window: no reference point available.
- 30d window: no reference point available.
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. It is meant for comparison and tracking, not certainty.
Phase read: If both windows align, the direction is clearer. cycle pressure can surface as slow bleed in rank.
Trading footprint: If the line is step-like, watch for discrete market changes. a new route can show up as a step change.
Liquidity note: If the line only moves on high-volume days, liquidity is a key filter. relative rank is sensitive to who is active in the window.
Risk posture: If it is flat for long, the coin may be tracking the cohort. big jumps can be data-driven, but also rotation-driven.
Editorial note:
This analysis was prepared by the YearBull research team under the direction of
Alan Zelvin,
Founder and Lead Crypto Researcher.
The assessment follows YearBull’s internal research methodology and editorial standards.
Methodology ·
Editorial Policy
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