About Skate (SKATE):
The latest snapshot lists Skate (SKATE) at $0.00234543, with $391.66K market cap and $193.07K traded over 24h. Turnover conditions appear high liquidity turnover (volume/market cap 49.29%) High turnover often keeps markets responsive during high-activity windows..
Where it trades:
A significant share of spot activity is hosted on Bybit, KCEX and MEXC, where Skate (SKATE) is most commonly traded. Observed activity can be influenced by regional venue preferences. Venue coverage and concentration can affect the reliability of price discovery.
Market assessment:
Bull score 74/100 suggests strong momentum with constructive short-term structure with better alignment across observed windows..
Performance windows show -3.92% (24h), -9.69% (7d), and 49.96% (30d). Shorter windows are softer while the longer window remains constructive. Short-horizon volatility is subdued today. Risk is assessed as Low, which implies relatively stable conditions with controlled volatility Conditions can change quickly if participation or liquidity shifts..
Skate (SKATE) is positioned in the Early phase,
typically associated with early positioning with improving participation Early-cycle labels often reflect a market still building conviction..
Capped tokenomics keep long-run issuance from expanding indefinitely.
Conclusion: Netting the signals, conditions read as a constructive environment for trend-following strategies. Update date: 2026-03-27.
Reading rule: a smaller rank number indicates stronger placement.
7d window (2026-03-20): #217 → #8 (up by 209).
30d window (2026-02-25): #2476 → #8 (up by 2468).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Lower rank numbers indicate stronger placement in the current snapshot. It is meant for comparison and tracking, not certainty.
Market access: If the line range narrows, access may be stabilizing.
Risk placement: If the last month is chaotic, widen the lookback before concluding.
Cycle angle: If the line is range-bound, treat changes as relative, not absolute.
Turnover context: If the curve jumps, check whether the cohort moved too (relative effects).
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 ·
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