Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-04-15.
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.
Binance Goat historical signal analysis
YearBull has 102 daily observations for this comparison, from 2025-12-30 through 2026-04-15. 30 day return 0.0%, 90 day return 0.0%. 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 outside the sequential analytical rank, Bull Score 0/100, Risk not scored, and Cycle . Across the stored window, Bull Score averaged 67.6 and was at least 50 on 92.2% of observations.
Median absolute day to day price movement was 0.00%. The latest price is 0.0% from the highest local daily price in this window. Reported 24 hour volume equals 0.00% 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.
Newest YearBull Rank value for binance-goat: #593.
Rank timeline (last 365 days)
Rank change (daily snapshots).
Reading rule: smaller rank numbers are better.
7d window: no reference point available.
30d window: no reference point available.
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. A smaller rank number indicates a stronger position at that moment. It is a context signal for relative placement, not an outcome forecast.
Cycle context: If the 30d is noisy, increase the lookback to avoid over-reading. 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. rank can move when liquidity redistributes across the cohort.
Volatility posture: If the curve is step-like, it may be reacting to discrete inputs. range behavior tells more than a single point.
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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