Agent Zero Token (A0T) market snapshot:
Price $1.6100, market capitalization $1.61M,
and reported 24-hour volume $6.73K.
Trading activity:
Reported 24-hour volume equals 0.42% of market capitalization. The local markets snapshot lists Aerodrome Slipstream 2 and Uniswap V4 (Base) 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.
Agent Zero Token historical signal analysis
YearBull has 252 daily observations for this comparison, from 2025-12-30 through 2026-09-12. 30 day return -32.0%, 90 day return -46.2%. 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 #6,923, Bull Score 19/100, Risk Low, and Cycle Early. Rank moved lower by 3,654 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 51.4 and was at least 50 on 48.0% of observations.
Median absolute day to day price movement was 3.92%. The latest price is -72.2% from the highest local daily price in this window. Reported 24 hour volume equals 0.24% 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.
7d window (2026-09-05): #6469 → #6783 (down by 314).
30d window (2026-08-13): #3269 → #6783 (down by 3514).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Use it as positioning context over time, not as a promise.
Execution context: If the line range narrows, access may be stabilizing.
Risk view: If the last month is chaotic, widen the lookback before concluding.
Cycle view: If the line is range-bound, treat changes as relative, not absolute.
Turnover context: If the curve jumps, check whether the cohort moved too (relative effects).
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.
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