Fergani (FERGANI)

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YearBull Rank i
#2810
Bull Score
49
Risk
Low
Cycle
Late

Overview

About Fergani (FERGANI): Fergani (FERGANI) changes hands around $0.00027, alongside a $264.76K market cap and $389.61K in 24-hour volume. Liquidity reads as high liquidity turnover (volume/market cap 147.16%) Very high turnover can coincide with faster intraday rotations..

Market assessment: Bull score 49/100 suggests moderate momentum with a balanced signal set with follow-through that remains uneven across sessions.. Risk is assessed as Low, which implies a steadier setup with more predictable moves Calmer regimes can still produce sharp candles on news.. Fergani (FERGANI) is positioned in the Late phase, typically associated with distribution pressure and a higher probability of trend exhaustion Late-cycle conditions can amplify both rallies and pullbacks.. Tokenomics signals are incomplete in this snapshot output.

Conclusion: Conclusion: the market structure currently signals a transitional structure with no dominant directional bias. Update date: 2026-02-26.

YearBull Rank context

Current YearBull Rank for fergani: #2810.

Rank timeline (last 365 days)

Rank movement (nearest daily data).

Reading rule: rank #120 sits higher than rank #200.

  • 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. Smaller numbers mean the coin sits higher in the YearBull list. It is meant for comparison and tracking, not certainty.

Regime context: If both windows align, the direction is clearer. cycle shifts often show up as slope changes, not spikes.

Liquidity angle: If the line improves during quiet periods, it can be accumulation. relative rank is sensitive to who is active in the window.

Listing context: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.

Volatility posture: If the curve is step-like, it may be reacting to discrete inputs. range behavior tells more than a single point.

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

Fergani Markets

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