About OG Fan Token (OG):
OG Fan Token (OG) is quoted at $2.6600; market cap is $12.29M and 24-hour volume is $5.02M. Execution liquidity looks high-turnover trading conditions (volume/market cap 40.79%) High turnover can also signal a more reactive market during news-driven sessions..
Where it trades:
Trading is primarily observed on HTX, Binance and BTCC, which collectively host a large share of current spot turnover. Cross-venue dispersion can increase during fast sessions.
Market assessment:
Bull score 48/100 suggests moderate momentum with a range-driven character with near-term signals that are not fully aligned..
Recent change: 24h 1.53%, 7d 5.98%, 30d -10.74%. Returns are uneven across windows, consistent with mixed short-term structure. The 24h move sits in a calmer range. Risk is assessed as Low, which implies a calmer regime with more orderly price action Risk metrics are snapshot-based and can evolve with the market..
OG Fan Token (OG) is positioned in the Early phase,
typically associated with accumulation behavior and early positioning by market participants Liquidity can improve as the cycle matures..
Uncapped tokenomics highlight that supply can expand, so inflation/issuance context may matter over time.
Conclusion: Netting the signals, conditions read as a transitional structure with no dominant directional bias. Update date: 2026-03-30.
Most recent YearBull Rank reading for og-fan-token is #438.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: lower numbers mean higher placement.
7d window (2026-03-23): #2328 → #438 (up by 1890).
30d window (2026-02-28): #687 → #438 (up by 249).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Use it as positioning context over time, not as a promise.
Cycle view: If the 7d is weak but 30d is strong, it can be a pullback in an up-phase.
Execution context: If the line range narrows, access may be stabilizing.
Risk view: If the last month is chaotic, widen the lookback before concluding.
Turnover context: If the curve is jagged, widen the window before concluding.
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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