DGrid AI (DGAI)

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YearBull Rank i
#808
Bull Score
51
Risk
Low
Cycle
Early

Overview

About DGrid AI (DGAI): With DGrid AI (DGAI) near $0.702867, market cap is $105.21M and 24h traded value is around $106.99M. Liquidity is currently exceptionally active turnover (volume/market cap 101.68%) At high turnover, liquidity is usually ample across top venues..

Market assessment: Bull score 51/100 suggests moderate momentum with choppy follow-through with near-term signals that are not fully aligned.. Windowed performance: 0.00% (24h), 0.00% (7d), 0.00% (30d). The return mix indicates a transitional regime rather than a clean trend. The latest 24h move indicates calmer conditions. YearBull Rank #808 - YearBull Rank helps contextualize structural positioning within the broader market snapshot. Risk is assessed as Low, which implies relatively stable conditions with controlled volatility Intraday noise can still be meaningful despite calmer conditions.. DGrid AI (DGAI) is positioned in the Early phase, typically associated with early-cycle setup where directional bias is still forming Early phases often prioritize base-building over directional follow-through.. Tokenomics coverage is incomplete for this snapshot, so supply context is minimal here.

Conclusion: Overall, the current market structure indicates a transitional structure with no dominant directional bias. Update date: 2026-08-25.

YearBull Rank timeline

Newest YearBull Rank value for dgrid-ai: #808.

Rank timeline (last 365 days)

Rank change (nearest points).

Reading rule: lower is better in this ranking.

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

Flow context: If the line improves during quiet periods, it can be accumulation. bursty volume can create temporary re-ordering.

Where it trades: If the line breaks range, confirm it across a longer window. a new route can show up as a step change.

Regime context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.

Volatility posture: If you see repeated snap-backs, assume sensitivity to one factor. big jumps can be data-driven, but also rotation-driven.

Practical note: read the move, then read the stability of the move.

YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers indicate stronger placement in the current snapshot.

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

DGrid AI Markets

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