About Swop (SWOP):
Swop (SWOP) is priced at $0.00607912 with a market capitalization of $60.79M and 24-hour volume near $7. Liquidity is currently low turnover intensity (volume/market cap 0.00%) Turnover at this level can make fills more venue-dependent..
Where it trades:
Most observed spot turnover is routed through Raydium (CLMM), where listings and liquidity are currently strongest. The venue set provides context for interpreting observed turnover and volatility. Venue selection may matter more when turnover is uneven.
Market assessment:
Bull score 0/100 suggests weak momentum with frequent pullbacks with softer confirmation across observed windows..
Performance windows show 0.00% (24h), 0.14% (7d), and 0.34% (30d). Windowed returns align with an emerging uptrend. Price action is muted in the most recent 24h window. Risk is assessed as —, which implies conditions are updating.
A capped supply ceiling constrains maximum issuance, affecting dilution characteristics.
Conclusion: In summary, current conditions suggest a transitional structure with no dominant directional bias. Update date: 2026-05-14.
Reading rule: a smaller rank number indicates stronger placement.
7d window (2026-05-07): #4193 → #99999 (down by 95806).
30d window (2026-04-14): #5505 → #99999 (down by 94494).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers correspond to stronger relative placement. It is meant for comparison and tracking, not certainty.
Flow context: If the line only moves on high-volume days, liquidity is a key filter. bursty volume can create temporary re-ordering.
Where it trades: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Phase read: If the 30d is noisy, increase the lookback to avoid over-reading. a stable phase often tightens the rank range.
Risk posture: If the curve is step-like, it may be reacting to discrete inputs. big jumps can be data-driven, but also rotation-driven.
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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