Panda (PANDA) market snapshot:
Price $0.000079, market capitalization $79.38K,
and reported 24-hour volume $767.26K.
Trading activity:
Reported 24-hour volume equals 966.56% of market capitalization.
YearBull indicators:
Bull Score 0/100.
Risk —.
Observed price change: 24h -4.82% · 7d 71.74% · 30d 14.65%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-02-27.
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.
Panda (PANDA) historical signal analysis
YearBull has 23 daily observations for this comparison, from 2026-01-04 through 2026-02-27. 30 day return -82.4%. The available 30 day observation is negative.
The latest record places the asset at YearBull Rank #2,002, Bull Score 68/100, Risk Low, and Cycle Mid. Across the stored window, Bull Score averaged 48.2 and was at least 50 on 34.8% of observations.
Median absolute day to day price movement was 0.00%. The latest price is -82.4% from the highest local daily price in this window. Reported 24 hour volume equals 966.56% 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 timeline
Newest YearBull Rank value for panda-3: #2002.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: smaller rank numbers are better.
- 7d window: no reference point available.
- 30d window: no reference point available.
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Lower values mean higher placement in the YearBull ordering.
Liquidity angle: If the line only moves on high-volume days, liquidity is a key filter. bursty volume can create temporary re-ordering.
Trading footprint: 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 30d is noisy, increase the lookback to avoid over-reading. 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
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