SIXSEVEN (67) research overview
SIXSEVEN (67) is tracked by YearBull under the source identifier sixseven. The stored profile does not yet provide a sufficiently specific sector classification. Category labels describe market context; they do not prove project activity, adoption, or investment quality.
Market structure and supply
Observed market capitalization is about $20.31 million and reported 24 hour volume is about $190.1 thousand. That volume equals 0.94% of market capitalization in the dated snapshot. Current circulating supply is 1,000,000,000. The recorded maximum supply is 1,000,000,000. Circulating supply changed 0.0% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.
Key risks and limits
Liquidity depth, holder concentration, contract or network controls, token issuance, venue availability, governance, and operational dependencies remain material. High YearBull Risk appeared on 2.0% of stored observations. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.
Primary sources and review scope
YearBull methodology. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.
YearBull Rank timeline
YearBull Rank now for sixseven: #6030.
Rank change (nearest points).
Reading rule: smaller rank numbers are better.
- 7d window (2026-09-21): #6491 → #6030 (up by 461).
- 30d window (2026-08-29): #2557 → #6030 (down by 3473).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Smaller numbers mean the coin sits higher in the YearBull list. It is meant for comparison and tracking, not certainty.
Phase read: If the line stair-steps, the cycle may be driven by discrete inputs. cycle shifts often show up as slope changes, not spikes.
Trading footprint: If the line breaks range, confirm it across a longer window. consolidation can make rank more stable.
Liquidity angle: If the line only moves on high-volume days, liquidity is a key filter. rank can move when liquidity redistributes across the cohort.
Risk posture: If you see repeated snap-backs, assume sensitivity to one factor. big jumps can be data-driven, but also rotation-driven.
