Trading activity:
Reported 24-hour volume equals 0.10% of market capitalization. The local markets snapshot lists Raydium 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.
RADR historical signal analysis
YearBull has 79 daily observations for this comparison, from 2025-12-30 through 2026-09-12. 30 day return -63.9%, 90 day return -63.9%. Both the 30 day and 90 day observations are negative, showing persistent weakness across the two measured windows.
The latest record places the asset at YearBull Rank #5,598, Bull Score 45/100, Risk Low, and Cycle Mid. Rank moved lower by 988 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 38.1 and was at least 50 on 29.1% of observations.
Median absolute day to day price movement was 6.87%. The latest price is -99.7% from the highest local daily price in this window. Reported 24 hour volume equals 0.10% of current market capitalization. Circulating supply changed -5.5% across the available supply window. These measurements describe observed behavior and do not establish future direction.
7d window (2026-09-05): #6872 → #5679 (up by 1193).
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. It is best read as relative context across time windows, not as a guarantee.
Cycle context: If both windows align, the direction is clearer. a stable phase often tightens the rank range.
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 rank deteriorates while the curve stays smooth, it can be cohort strength shifting. 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
Related Research
Continue with contextually connected profiles and category data:
BEPE analysis - nearby market scale in the current dataset.
We use cookies and similar technologies to improve site functionality, analyze usage, and enhance user experience.
By continuing to use YearBull, you agree to our use of cookies as described in our
Privacy Policy.
Comments