Molt Agentic (MOLTIC) market snapshot:
Price $0.00000417, market capitalization $4.17K,
and reported 24-hour volume $79.
Trading activity:
Reported 24-hour volume equals 1.90% of market capitalization.
YearBull indicators:
YearBull Rank #3,914. Bull Score 60/100.
Risk Low.
Cycle Mid. Observed price change: 24h -1.88% · 7d -2.57% · 30d 31.70%.
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.
Molt Agentic historical signal analysis
YearBull has 25 daily observations for this comparison, from 2026-02-22 through 2026-09-12. 30 day return -96.7%, 90 day return -96.7%. 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 #3,870, Bull Score 60/100, Risk Low, and Cycle Mid. Rank improved by 2,038 places from the closest stored 30 day comparison. Across the stored window, Bull Score averaged 42.6 and was at least 50 on 72.0% of observations.
Median absolute day to day price movement was 0.00%. The latest price is -98.6% from the highest local daily price in this window. Reported 24 hour volume equals 1.90% 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 update
Newest YearBull Rank value for molt-agentic: #3914.
Rank timeline (last 365 days)
Rank change (daily snapshots).
Reading rule: smaller rank numbers are better.
- 7d window (2026-09-09): #5402 → #3914 (up by 1488).
- 30d window: no reference point available.
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. Use it as positioning context over time, not as a promise.
Regime context: If both windows align, the direction is clearer. cycle pressure can surface as slow bleed in rank.
Trading footprint: If the line is step-like, watch for discrete market changes. consolidation can make rank more stable.
Liquidity note: If the line improves during quiet periods, it can be accumulation. relative rank is sensitive to who is active in the window.
Risk posture: If the curve is step-like, it may be reacting to discrete inputs. ranking moves can reflect regime shifts rather than one-off events.
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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