Trading activity:
Reported 24-hour volume equals 0.08% of market capitalization. The local markets snapshot lists Uniswap V3 (Ethereum) and Uniswap V3 (Base) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #7,238. Bull Score 42/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 0.00% · 7d -4.83% · 30d -16.49%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-27.Data history: 90 days available in the latest 90-day window.
Methodology responsibility:
YearBull’s analytical methodology and presentation rules are developed and maintained by
Alan Zelvin, Founder & Lead Crypto Researcher.
This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.
What is Unicorn Meat (W🍖)?
Source description
“Unicorn Meat is an Ethereum token created on March 24, 2016 by Alex Van de Sande of the Ethereum Foundation as an April Fool’s experiment in token mutation, DAOs, and on-chain voting. The experiment allowed holders to convert Unicorns 🦄 into Unicorn Meat 🍖. In 2025, ownership of Unicorn Meat was transferred, a supply minted, the contract was renounced to make it finite, and the token was wrapped to a modern ERC-20.”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Unicorn Meat metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 293 daily observations available from 2025-12-30 through 2026-10-23. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.
Metric
Snapshot
30d before
90d before
Change vs 30d
Universe percentile
Price
$0.00725197
$0.00845334
$0.00578118
-14.2%
n/a
Market cap
$725.1K
$845.3K
$578.1K
-14.2%
P61.8
YearBull Rank
n/a
#5,636
#3,008
n/a
n/a
Bull Score
n/a
49/100
60/100
n/a
n/a
Turnover
0.00%
0.02%
0.02%
0.0 pts
P3.3
YB Market Risk
n/a
Low
Low
n/a
n/a
Cycle
n/a
Mid
Early
n/a
n/a
Median absolute daily movement 1.15%; distance from the highest local daily price -79.8%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.
Unicorn Meat (W🍖) is tracked under the source identifier unicorn-meat; captured categories: Meme, Ethereum Ecosystem, Base Ecosystem; recorded networks: ethereum, base.
Limits and open questions
The reviewed sources do not establish an authoritative project description, utility, tokenomics or relationship between the Ethereum and Base contracts.
Resolve canonical chain and first-party documentation before drafting.
YearBull Rank on this page
Latest available YearBull Rank for unicorn-meat: #7238.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: lower numbers mean higher placement.
7d window (2026-10-20): #5771 → #7238 (down by 1467).
30d window (2026-09-28): #4349 → #7238 (down by 2889).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Treat it as a directional context tool rather than a standalone verdict.
Liquidity posture: deep markets usually produce smoother rank paths. If the line reacts in bursts, watch for calendar-driven liquidity.
Cycle note: in rotations, improving rank can happen without price leadership. If both are flat, the coin may be tracking its peer basket.
Risk framing: short bursts do not always translate into durable placement. If it moves only on certain days, it can be update cadence.
Access context: fragmentation can make rank more reactive. If rank can’t hold gains, it can be concentrated pressure.
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
Related Research
Continue with contextually connected profiles and category data:
Stored venue snapshot. Markets last checked: 2026-07-27. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
