About Sahara AI (SAHARA):
Trading near $0.024382, the market cap stands at $76.54M with roughly $18.07M in 24-hour volume. Market liquidity is exceptionally active turnover (volume/market cap 23.61%) High turnover can also signal a more reactive market during news-driven sessions..
Where it trades:
The asset is actively traded on leading platforms such as HTX, BitMart and Hotcoin, which currently concentrate a large share of its spot market activity. In faster markets, venue concentration can shape intraday behavior. A concentrated venue footprint can amplify short-term liquidity swings.
Market assessment:
Bull score 40/100 suggests moderate momentum with mixed short-term signals with conditions consistent with a range-driven phase..
Returns snapshot: -4.83% / -11.29% / 7.83% across 24h, 7d and 30d windows. The mix suggests a pullback within a broader positive backdrop. Near-term volatility looks contained on this snapshot. Risk is assessed as Low, which implies relatively stable conditions with controlled volatility Risk can rise quickly if turnover drops or spreads widen..
Sahara AI (SAHARA) is positioned in the Late phase,
typically associated with conditions consistent with late-cycle maturity Late phases often show more frequent failed breakouts..
Capped supply provides a defined upper bound for total issuance.
Conclusion: From a structure view, the setup currently reflects a transitional structure with no dominant directional bias. Update date: 2026-03-30.
Latest available YearBull Rank for sahara-ai: #3801.
Rank timeline (last 365 days)
Rank change (reference points).
Reading rule: lower is better in this ranking.
7d window (2026-03-23): #2269 → #3801 (down by 1532).
30d window (2026-02-28): #4101 → #3801 (up by 300).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. It is best read as relative context across time windows, not as a guarantee.
Flow context: If the line improves during quiet periods, it can be accumulation. bursty volume can create temporary re-ordering.
Where it trades: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Phase read: If both windows align, the direction is clearer. cycle shifts often show up as slope changes, not spikes.
Risk 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
We use cookies and similar technologies to improve site functionality, analyze usage, and enhance user experience.
By continuing to use YearBull, you agree to our use of cookies as described in our
Privacy Policy.
Comments