About Sticky Monster Lab (SML):
With Sticky Monster Lab (SML) near $0.00006672, market cap is $67.05K and 24h traded value is around $421.25K. Turnover conditions appear fast turnover relative to market cap (volume/market cap 628.25%) High turnover can improve execution quality but may come with quicker regime shifts..
Market assessment:
Bull score 36/100 suggests weak momentum with reduced participation with softer confirmation across observed windows..
Windowed change reads -20.82% over 24h, 0.00% over 7d, and 0.00% over 30d. Returns are uneven across windows, consistent with mixed short-term structure.
The last day shows wider amplitude in price action. Risk is assessed as Low, which implies more stable conditions with tighter volatility behavior Low-risk labels reflect relative conditions, not guarantees..
Sticky Monster Lab (SML) is positioned in the Late phase,
typically associated with conditions consistent with late-cycle maturity Expect more variance and quicker sentiment shifts in late regimes..
Tokenomics fields do not include a definitive max supply signal in this update.
Conclusion: Taken together, the present setup points to a defensive structure where capital preservation becomes a priority. Update date: 2026-05-05.
YearBull Rank update
Latest available YearBull Rank for sticky-monster-lab: #6558.
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. Lower values mean higher placement in the YearBull ordering.
Cycle context: If the line stair-steps, the cycle may be driven by discrete inputs. a stable phase often tightens the rank range.
Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. consolidation can make rank more stable.
Flow context: If the line improves during quiet periods, it can be accumulation. relative rank is sensitive to who is active in the window.
Volatility posture: If the curve is step-like, it may be reacting to discrete inputs. range behavior tells more than a single point.
Practical note: cohort shifts can move rank even without coin-specific news.
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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