AB4AD (Antibodies for Alzheimer’s Disease) (AB4AD) market snapshot:
Price $0.044356, market capitalization $44.36K,
and reported 24-hour volume $18.
Trading activity:
Reported 24-hour volume equals 0.04% of market capitalization.
YearBull indicators:
Bull Score 0/100.
Risk —.
Observed price change: 24h 0.00% · 7d 0.00% · 30d -3.95%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-03-24.
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.
AB4AD (Antibodies for Alzheimer's Disease) historical signal analysis
YearBull has 46 daily observations for this comparison, from 2026-02-04 through 2026-03-24. 30 day return -3.9%. The available 30 day observation is negative.
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 39.4 and was at least 50 on 17.4% of observations.
Median absolute day to day price movement was 0.00%. The latest price is -9.5% from the highest local daily price in this window. Reported 24 hour volume equals 0.04% 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.
YearBull Rank context
Most recent YearBull Rank reading for ab4ad-antibodies-for-alzheimer-s-disease is #6174.
Rank timeline (last 365 days)
Rank change (daily snapshots).
Reading rule: lower numbers mean higher placement.
- 7d window: no reference point available.
- 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 rank numbers correspond to stronger relative placement.
Liquidity note: If the curve improves and holds, it is usually more structural. rank can move when liquidity redistributes across the cohort.
Listing context: If the line is step-like, watch for discrete market changes. a new route can show up as a step change.
Phase read: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.
Risk posture: If you see repeated snap-backs, assume sensitivity to one factor. range behavior tells more than a single point.
Practical note: cohort shifts can move rank even without coin-specific news.
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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