About StorX (SRX):
With StorX (SRX) near $0.059593, market cap is $36.13M and 24h traded value is around $2.33M. Liquidity is currently healthy but venue-dependent (volume/market cap 6.45%) This range typically keeps spot markets responsive during active periods..
Where it trades:
Spot activity clusters on venues like Bitrue, BingX and LCX Exchange, which account for a meaningful share of observed trading. The venue set provides context for interpreting observed turnover and volatility. Venue mix is a practical factor for execution and depth.
Market assessment:
Bull score 46/100 suggests moderate momentum with choppy follow-through with near-term signals that are not fully aligned..
Performance windows show -0.08% (24h), 0.06% (7d), and -2.48% (30d). Windows are mixed, suggesting a range-bound or transitional structure. The latest 24h move indicates calmer conditions. Risk is assessed as Low, which implies more stable conditions with tighter volatility behavior Low risk does not imply low volatility in every session..
StorX (SRX) is positioned in the Early phase,
typically associated with early positioning with improving participation Expect mixed signals as the structure forms..
Capped tokenomics often reduce the role of ongoing issuance in the supply equation.
Conclusion: Taken together, the present setup points to a transitional structure with no dominant directional bias. Update date: 2026-05-14.
30d window (2026-04-14): #1066 → #667 (up by 399).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower rank numbers correspond to stronger relative placement. Use it as positioning context over time, not as a promise.
Liquidity note: If the line only moves on high-volume days, liquidity is a key filter. bursty volume can create temporary re-ordering.
Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. a new route can show up as a step change.
Cycle context: If both windows align, the direction is clearer. cycle pressure can surface as slow bleed in rank.
Risk note: If the curve is step-like, it may be reacting to discrete inputs. big jumps can be data-driven, but also rotation-driven.
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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