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.
Basilisk historical signal analysis
YearBull has 246 daily observations for this comparison, from 2025-12-30 through 2026-09-12. 30 day return 0.0%, 90 day return +0.1%. Both the 30 day and 90 day observations are positive, so recent and medium term direction are aligned in the stored history.
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 49.5 and was at least 50 on 54.1% of observations.
Median absolute day to day price movement was 0.09%. The latest price is -51.5% 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.
Latest available YearBull Rank for basilisk: #3304.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: lower numbers mean higher placement.
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. Treat it as a directional context tool rather than a standalone verdict.
Cycle context: If both windows align, the direction is clearer. cycle shifts often show up as slope changes, not spikes.
Liquidity angle: If the line improves during quiet periods, it can be accumulation. rank can move when liquidity redistributes across the cohort.
Trading footprint: If the line is step-like, watch for discrete market changes. consolidation can make rank more stable.
Risk posture: If you see repeated snap-backs, assume sensitivity to one factor. 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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