About Moonbeam (GLMR):
Currently trading at $0.017165, with a market capitalization of $18.76M and a 24-hour trading volume of $50.95M. Market liquidity is high liquidity turnover (volume/market cap 271.54%) High turnover can also signal a more reactive market during news-driven sessions..
Where it trades:
Spot activity clusters on venues like BitMart, Binance and MEXC, which account for a meaningful share of observed trading. In faster markets, venue concentration can shape intraday behavior. Venue coverage and concentration can affect the reliability of price discovery.
Market assessment:
Bull score 61/100 suggests moderate momentum with a neutral-to-positive bias with short-term indecision still visible in the tape..
Windowed performance: 42.41% (24h), 55.42% (7d), 46.26% (30d). The return mix points to an upward bias with short-term support. Near-term volatility appears elevated versus moderate sessions. Risk is assessed as Medium, which implies a mid-risk environment with alternating calm and impulse Risk can drift higher if turnover weakens..
Moonbeam (GLMR) is positioned in the Mid phase,
typically associated with mid-cycle structure with broader participation Mid-cycle structure can support extended moves if momentum holds..
Uncapped tokenomics highlight that supply can expand, so inflation/issuance context may matter over time.
Conclusion: Taken together, the present setup points to a transitional structure with no dominant directional bias. Update date: 2026-04-18.
Most recent YearBull Rank reading for moonbeam is #462.
Rank timeline (last 365 days)
Rank change (daily snapshots).
Reading rule: lower is better in this ranking.
7d window (2026-04-11): #1022 → #462 (up by 560).
30d window (2026-03-19): #1964 → #462 (up by 1502).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Lower rank numbers indicate stronger placement in the current snapshot.
Market depth: a quiet tape can still re-rank the pack.
Venue angle: a tightened venue set can reduce variance or increase it.
Downside posture: consistency often matters more than speed.
Cycle read: recent movement can fit a transition rather than a clean trend.
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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