AlgoTrade (ALGT)

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YearBull Rank i
#6315
Bull Score
64
Risk
Medium
Cycle
Late

Overview

About AlgoTrade (ALGT): AlgoTrade (ALGT) changes hands around $0.00041444, alongside a $37.30K market cap and $1.18K in 24-hour volume. Market liquidity is moderate relative turnover (volume/market cap 3.15%) Moderate turnover often provides workable depth outside of peak volatility..

Market assessment: Bull score 64/100 suggests moderate momentum with uneven short-term confirmation with follow-through that remains uneven across sessions.. Recent change: 24h 21.78%, 7d 41.72%, 30d -16.93%. Windows are mixed, suggesting a range-bound or transitional structure. The 24h profile indicates a faster, more reactive market. Risk is assessed as Medium, which implies conditions that can shift quickly as liquidity changes Expect some variability in intraday behavior in this regime.. AlgoTrade (ALGT) is positioned in the Late phase, typically associated with a late phase where downside sensitivity can increase Late regimes often have a higher chance of sharp reversals.. Supply structure cannot be fully summarized from the fields shown.

Conclusion: From a structure view, the setup currently reflects a transitional structure with no dominant directional bias. Update date: 2026-03-01.

YearBull Rank update

Most recent YearBull Rank reading for algotrade is #6315.

Rank timeline (last 365 days)

Rank movement (nearest daily data).

Reading rule: smaller rank numbers are better.

  • 7d window: no reference point available.
  • 30d window: no reference point available.

YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. A smaller rank number indicates a stronger position at that moment.

Market depth: peer movement can shift relative placement even without news.

Venue context: a broader footprint often smooths the rank trajectory.

Risk read: the same move can be stable in one market and fragile in another.

Cycle read: recent movement can fit a transition rather than a clean trend.

Practical note: treat the line as positioning context over time.

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

AlgoTrade Markets

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