About Artificial General Intelligence (AGI):
Artificial General Intelligence (AGI) changes hands around $0.00004207, alongside a $37.84K market cap and $3.61K in 24-hour volume. Liquidity remains strong day-to-day turnover (volume/market cap 9.55%) Healthy turnover usually improves execution quality in normal conditions..
Market assessment:
Bull score 0/100 suggests weak momentum with a range-to-down bias with a defensive tone in the current structure..
Windowed change reads 53.26% over 24h, 84.59% over 7d, and 89.17% over 30d. Windowed returns align with an emerging uptrend.
The 24h window reflects a high-energy, higher-volatility regime. Risk is assessed as High, which implies a higher-volatility regime with less predictable swings High risk often reflects unstable structure rather than a single direction..
Artificial General Intelligence (AGI) is positioned in the Mid phase,
typically associated with mid-cycle structure with broader participation Mid-cycle labels can shift if volatility expands late in the move..
Supply classification is not available in current snapshot data.
Conclusion: Taken together, the present setup points to a fragile setup with increased downside sensitivity. Update date: 2026-04-19.
YearBull Rank update
Current YearBull Rank for artificial-general-intelligence: #6581.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: lower is better in this ranking.
- 7d window: no reference point available.
- 30d window: no reference point available.
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower rank numbers indicate stronger placement in the current snapshot.
Cycle view: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.
Risk context: If the last month is chaotic, widen the lookback before concluding.
Route context: If rank moves sharply, it may reflect venue mix changes rather than fundamentals.
Liquidity view: If the line flatlines, the coin may be moving with its liquidity peers.
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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