Momus ai (MOMUS) market snapshot:
Price $0.00003762, market capitalization $30.12K,
and reported 24-hour volume $354.
Trading activity:
Reported 24-hour volume equals 1.17% of market capitalization.
YearBull indicators:
YearBull Rank #3,997. Bull Score 59/100.
Risk Low.
Cycle Mid. Observed price change: 24h 6.81% · 7d -4.42% · 30d -18.38%.
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.
Momus ai historical signal analysis
YearBull has 66 daily observations for this comparison, from 2026-05-13 through 2026-09-12. 30 day return -19.9%, 90 day return -35.6%. 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 #4,062, Bull Score 58/100, Risk Low, and Cycle Mid. Rank improved by 1,575 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 47.2 and was at least 50 on 59.1% of observations.
Median absolute day to day price movement was 7.75%. The latest price is -85.1% from the highest local daily price in this window. Reported 24 hour volume equals 1.81% 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 overview
YearBull Rank now for momus-ai: #3997.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: lower is better in this ranking.
- 7d window (2026-09-05): #5423 → #3997 (up by 1426).
- 30d window: no reference point available.
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. It is best read as relative context across time windows, not as a guarantee.
Stability posture: consistency often matters more than speed.
Venue context: a broader footprint often smooths the rank trajectory.
Liquidity context: a quiet tape can still re-rank the pack.
Cycle read: a quick bounce can still be a mean-reversion phase.
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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