About Mog Coin (MOG):
At $0.000000137874, Mog Coin (MOG) carries a market cap of $53.87M and logs about $8.19M in 24h turnover. Market liquidity is high-turnover trading conditions (volume/market cap 15.20%) This turnover profile points to sustained spot participation..
Where it trades:
Liquidity is most consistently available on LBank, BitMart and HTX, where Mog Coin (MOG) sees the bulk of observed activity. Spot liquidity often tracks the venues with the most consistent flow.
Market assessment:
Bull score 41/100 suggests moderate momentum with inconsistent continuation with modest trend traction rather than a clean trend..
Return snapshot: 24h -2.11%; 7d -5.26%; 30d -14.10%. Returns remain pressured across major windows. The 24h move sits in a calmer range. YearBull Rank #936 - YearBull Rank is intended as a context metric for comparing setups across assets. Risk is assessed as Low, which implies a steadier setup with more predictable moves Calmer regimes can still produce sharp candles on news..
Mog Coin (MOG) is positioned in the Early phase,
typically associated with early-cycle structure with initial trend development Early-cycle labels often reflect a market still building conviction..
With capped supply, the supply-side narrative is anchored by the issuance limit.
Conclusion: Overall, the current market structure indicates a transitional structure with no dominant directional bias. Update date: 2026-03-30.
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-03-23): #2489 → #936 (up by 1553).
30d window (2026-02-28): #6806 → #936 (up by 5870).
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Lower rank numbers indicate stronger placement in the current snapshot.
Liquidity note: If the line only moves on high-volume days, liquidity is a key filter. rank can move when liquidity redistributes across the cohort.
Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Regime context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle shifts often show up as slope changes, not spikes.
Risk posture: If the curve is step-like, it may be reacting to discrete inputs. 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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