Trading activity:
Reported 24-hour volume equals 3.17% of market capitalization. The local markets snapshot lists SparkDEX V4 and SparkDEX V3.1 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: 2026-02-04.
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.
Flare Staked Ether historical signal analysis
YearBull has 32 daily observations for this comparison, from 2025-12-30 through 2026-02-04. 30 day return -16.3%. The available 30 day observation is negative.
The latest record places the asset at YearBull Rank #971, Bull Score 75/100, Risk Low, and Cycle Early. Rank improved by 345 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 57.7 and was at least 50 on 84.4% of observations.
Median absolute day to day price movement was 3.84%. The latest price is -22.6% from the highest local daily price in this window. Reported 24 hour volume equals 3.17% 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 flare-staked-ether: #971.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
7d window: no reference point available.
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.
Regime context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.
Listing context: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Flow context: If the line improves during quiet periods, it can be accumulation. relative rank is sensitive to who is active in the window.
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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