About Amnis Aptos (AMAPT):
Snapshot pricing shows $1.0220 for Amnis Aptos (AMAPT), with $25.88M market cap and $49.12K in 24h volume. Market liquidity is thin relative turnover (volume/market cap 0.19%) Lower turnover can make short-term moves feel jumpier in fast markets..
Where it trades:
Amnis Aptos (AMAPT) trading is most visible on Hyperion, ThalaSwap V1 and PancakeSwap (Aptos), which appear to capture a large portion of current spot volume. Liquidity conditions are often strongest where order-book depth is deepest. Venue mix can influence spreads and depth, especially during higher-volatility sessions.
Market assessment:
Bull score 0/100 suggests weak momentum with weak confirmation across windows with frequent pullbacks interrupting recovery attempts..
Snapshot returns: 24h -15.54% · 7d -31.41% · 30d -45.64%. Returns remain pressured across major windows. The session reads as higher-volatility, with sharper short-horizon movement. Risk is assessed as —, which implies conditions are updating.
Uncapped tokenomics keep total supply open-ended within protocol constraints.
Conclusion: Taken together, the present setup points to a transitional structure with no dominant directional bias. Update date: 2026-02-06.
Reading rule: rank #120 sits higher than rank #200.
7d window: no reference point available.
30d window (2026-01-23): #4320 → #5998 (down by 1678).
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.
Cycle context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle shifts often show up as slope changes, not spikes.
Where it trades: If the line breaks range, confirm it across a longer window. consolidation can make rank more stable.
Liquidity note: If the line only moves on high-volume days, liquidity is a key filter. rank can move when liquidity redistributes across the cohort.
Risk posture: If you see repeated snap-backs, assume sensitivity to one factor. 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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