Unit Avalanche (UAVAX)

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YearBull Rank i
#8845
Bull Score
58
Risk
Low
Cycle
Early

Overview

Unit Avalanche (UAVAX) market snapshot: Price $7.3900, market capitalization $159.07K, and reported 24-hour volume $1.29K. Inclusive source market cap rank #5,390.

Trading activity: Reported 24-hour volume equals 0.81% of market capitalization.

YearBull indicators: YearBull Rank #8,845. Bull Score 58/100. Risk Low. Cycle Early. Observed price change: 24h -0.10% · 7d -3.10% · 30d 16.00%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-09-13.

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.

YearBull Rank on this page

YearBull Rank now for unit-avalanche: #8845.

Rank timeline (last 365 days)
Rank history is still being collected.The rank timeline is expected after the next daily snapshot (normally tomorrow). Two daily YearBull Rank points are required to draw the chart.

Rank change (reference 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 placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers indicate stronger placement in the current snapshot.

Cycle context: If the 30d is noisy, increase the lookback to avoid over-reading. a stable phase often tightens the rank range.

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.

Where it trades: If the line breaks range, confirm it across a longer window. changes can follow how the coin is routed across markets.

Volatility 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 · Editorial Policy
Research context

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