About Bitcast (SN93):
With Bitcast (SN93) near $4.9100, market cap is $14.93M and 24h traded value is around $711.73K. Liquidity reads as moderate turnover profile (volume/market cap 4.77%) This range usually keeps spot liquidity functional across major venues..
Where it trades:
Trading is primarily observed on Subnet Tokens, which collectively host a large share of current spot turnover. Cross-venue dispersion can increase during fast sessions. Venue selection may matter more when turnover is uneven.
Market assessment:
Bull score 55/100 suggests moderate momentum with mixed window alignment with alternating impulse and consolidation behavior..
Performance windows show 4.25% (24h), 14.45% (7d), and 114.41% (30d). Short and medium windows are supportive, consistent with constructive momentum. This snapshot shows quieter short-term movement. Risk is assessed as High, which implies a higher-volatility regime with less predictable swings Volatility clusters are more common in high-risk regimes..
Bitcast (SN93) is positioned in the Late phase,
typically associated with distribution pressure and a higher probability of trend exhaustion Late phases may feature faster rotations between leaders and laggards..
Capped design implies maximum supply is bounded rather than open-ended.
Conclusion: Conclusion: the market structure currently signals a transitional structure with no dominant directional bias. Update date: 2026-03-30.
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-03-23): #4716 → #5141 (down by 425).
30d window (2026-02-28): #725 → #5141 (down by 4416).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. It is meant for comparison and tracking, not certainty.
Route context: If rank moves sharply, it may reflect venue mix changes rather than fundamentals.
Risk placement: If it improves then retraces fast, treat it as rotation pressure.
Cycle view: If the 7d is weak but 30d is strong, it can be a pullback in an up-phase.
Liquidity framing: If the curve jumps, check whether the cohort moved too (relative effects).
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 ·
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