About Moon (MOON):
Moon (MOON) trades around $0.00004656, backed by $47.05K capitalization and $59.62K of 24h volume. Liquidity reads as very high turnover (volume/market cap 126.72%) High turnover often keeps markets responsive during high-activity windows..
Market assessment:
Bull score 75/100 suggests strong momentum with supportive market structure with a clearer directional bias than the median asset..
Recent change: 24h 290.23%, 7d 300.72%, 30d 559.86%. Short and medium windows are supportive, consistent with constructive momentum.
The 24h window reflects a high-energy, higher-volatility regime. Risk is assessed as High, which implies elevated uncertainty, where price movements may become sharp and irregular Spreads and slippage can widen quickly in impulsive moves..
Moon (MOON) is positioned in the Late phase,
typically associated with late-cycle behavior where reversals become more common Late phases may feature faster rotations between leaders and laggards..
Token supply structure is not clearly defined in the current data fields.
Conclusion: From a structure view, the setup currently reflects a potentially overheated structure where caution becomes essential. Update date: 2026-05-23.
YearBull Rank timeline
YearBull Rank now for moon-4: #6573.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: smaller rank numbers are better.
- 7d window: no reference point available.
- 30d window: no reference point available.
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. It is a context signal for relative placement, not an outcome forecast.
Liquidity note: If the curve improves and holds, it is usually more structural. bursty volume can create temporary re-ordering.
Listing context: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Phase read: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.
Risk note: If you see repeated snap-backs, assume sensitivity to one factor. 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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