About Mog Coin (MOG):
At $0.000000159931, Mog Coin (MOG) carries a market cap of $62.48M and logs about $11.65M in 24h turnover. Market liquidity is high-turnover trading conditions (volume/market cap 18.64%) This turnover profile points to sustained spot participation..
Where it trades:
Liquidity is most consistently available on LBank, HTX and BitMart, 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 46/100 suggests moderate momentum with inconsistent continuation with modest trend traction rather than a clean trend..
Return snapshot: 24h -3.33%; 7d 2.00%; 30d 14.71%. Short and medium windows are supportive, consistent with constructive momentum. The 24h move sits in a calmer range. YearBull Rank #815 - 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 Mid phase,
typically associated with mid-cycle conditions with trend reinforcement Rotations may be more orderly as leadership becomes clearer..
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: 2026-05-14.
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-05-07): #316 → #815 (down by 499).
30d window (2026-04-14): #750 → #815 (down by 65).
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
We use cookies and similar technologies to improve site functionality, analyze usage, and enhance user experience.
By continuing to use YearBull, you agree to our use of cookies as described in our
Privacy Policy.
Comments