EGL1 (EGL1) research overview
EGL1 (EGL1) is tracked by YearBull under the source identifier egl1. Source categories place the asset in the Meme Coins universe, with additional labels including Meme. Category labels describe market context; they do not prove project activity, adoption, or investment quality.
Market structure and supply
Observed market capitalization is about $11.98 million and reported 24 hour volume is about $1.32 million. That volume equals 11.04% of market capitalization in the dated snapshot. Current circulating supply is 956,403,087. The recorded maximum supply is 1,000,000,000. Circulating supply changed -0.2% 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
Attention driven demand, holder concentration, shallow liquidity, contract controls, and abrupt changes in venue support can dominate price behavior. High YearBull Risk appeared on 7.9% 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 | Official project website. 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
Latest available YearBull Rank for egl1: #760.
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
- 7d window (2026-10-21): #989 → #760 (up by 229).
- 30d window (2026-09-28): #2034 → #760 (up by 1274).
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. Lower rank numbers correspond to stronger relative placement. It is best read as relative context across time windows, not as a guarantee.
Liquidity posture: deep markets usually produce smoother rank paths. If the curve improves but won’t hold, treat it as flow-driven.
Cycle framing: phase changes usually leave a footprint in consistency. If 7d and 30d disagree, treat it as a transition window.
Risk angle: a calm line with small steps can be healthier than spikes. If the curve whipsaws, treat the rank as fragile.
Access context: venue mix can alter rank without changing the narrative. If the line range widens, access or routing may be changing.
Practical note: compare across windows before concluding.
