Trading activity:
Reported 24-hour volume equals 72.00% of market capitalization. The local markets snapshot lists KuCoin, HTX and MEXC 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.
V.SYSTEMS historical signal analysis
YearBull has 252 daily observations for this comparison, from 2025-12-30 through 2026-09-12. 30 day return +2.5%, 90 day return +10.3%. 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 #1,257, Bull Score 41/100, Risk Low, and Cycle Early. Rank moved lower by 894 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 55.5 and was at least 50 on 70.6% of observations.
Median absolute day to day price movement was 0.52%. The latest price is -40.9% from the highest local daily price in this window. Reported 24 hour volume equals 67.13% of current market capitalization. Circulating supply changed +5.4% across the available supply window. These measurements describe observed behavior and do not establish future direction.
Most recent YearBull Rank reading for v-systems is #1146.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: smaller rank numbers are better.
7d window (2026-09-05): #1085 → #1146 (down by 61).
30d window (2026-08-13): #363 → #1146 (down by 783).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Lower rank numbers correspond to stronger relative placement.
Cycle context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle shifts often show up as slope changes, not spikes.
Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. changes can follow how the coin is routed across markets.
Flow context: If the line only moves on high-volume days, liquidity is a key filter. relative rank is sensitive to who is active in the window.
Risk note: 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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