Trading activity:
Reported 24-hour volume equals 1.07% of market capitalization. The local markets snapshot lists Gate among venues with observed trading activity.
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.
Paparazzi Token historical signal analysis
YearBull has 249 daily observations for this comparison, from 2025-12-30 through 2026-09-12. 30 day return +0.1%, 90 day return -1.0%. The 30 day move is positive while the 90 day move remains negative, which describes a recent recovery inside a weaker medium term window.
The latest record places the asset at YearBull Rank #966, Bull Score 53/100, Risk Low, and Cycle Early. Rank improved by 2,168 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 46.4 and was at least 50 on 51.4% of observations.
Median absolute day to day price movement was 0.30%. The latest price is -89.0% from the highest local daily price in this window. Reported 24 hour volume equals 1.10% of current market capitalization. Circulating supply changed +111.9% across the available supply window. These measurements describe observed behavior and do not establish future direction.
Most recent YearBull Rank reading for paparazzi-token is #960.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
7d window (2026-09-05): #177 → #960 (down by 783).
30d window (2026-08-13): #3134 → #960 (up by 2174).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Use it as positioning context over time, not as a promise.
Flow context: If the line improves during quiet periods, it can be accumulation. rank can move when liquidity redistributes across the cohort.
Where it trades: If the line is step-like, watch for discrete market changes. a new route can show up as a step change.
Phase read: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.
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 ·
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