goblintown (GOBLINTOWN) market snapshot:
Price $0.0000082, market capitalization $8.19K,
and reported 24-hour volume $1.
Trading activity:
Reported 24-hour volume equals 0.01% of market capitalization.
YearBull indicators:
Bull Score 0/100.
Risk —.
Observed price change: 24h 0.00% · 7d 1.49% · 30d -78.26%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-09-12.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
goblintown historical signal analysis
YearBull has 30 daily observations for this comparison, from 2026-06-08 through 2026-09-12. 30 day return -78.3%, 90 day return -86.2%. Both the 30 day and 90 day observations are negative, showing persistent weakness across the two measured windows.
The latest record places the asset at YearBull Rank outside the sequential analytical rank, Bull Score 0/100, Risk not scored, and Cycle . Across the stored window, Bull Score averaged 43.1 and was at least 50 on 56.7% of observations.
Median absolute day to day price movement was 3.99%. The latest price is -94.5% from the highest local daily price in this window. Reported 24 hour volume equals 0.01% of current market capitalization. Circulating supply changed 0.0% across the available supply window. These measurements describe observed behavior and do not establish future direction.
YearBull Rank context
Most recent YearBull Rank reading for goblintown-3 is #7351.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: a smaller rank number indicates stronger placement.
- 7d window (2026-09-05): #7406 → #7351 (up by 55).
- 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. 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. 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. consolidation can make rank more stable.
Phase read: If the 30d is noisy, increase the lookback to avoid over-reading. a stable phase often tightens the rank range.
Risk note: 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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