Trading activity:
Reported 24-hour volume equals 6.53% of market capitalization. The local markets snapshot lists Upbit, Binance and WhiteBIT among venues with observed trading activity.
YearBull indicators:
YearBull Rank #268. Bull Score 77/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -1.71% · 7d 5.58% · 30d 30.33%.
Values are descriptive and should be read together rather than as a price forecast.
Read the YearBull methodology.
Snapshot date: 2026-10-07.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 Walrus (WAL)?
YearBull Project Summary: Walrus (WAL) is tracked under walrus-2. The local profile associates it with Infrastructure, Storage, Sui Ecosystem, Binance Alpha Spotlight. The source profile maps it to sui.
Source description
“Walrus is a developer platform enabling data markets for the AI era, making data across all industries trustworthy, provable, monetizable, and secure. From AI agents to data markets and decentralized finance, Walrus empowers builders, users, and intelligent systems to control, verify, and create value from the world’s data. Most of today’s data sits unused or untrusted, limiting the full potential of AI and digital economies. On Walrus, data isn’t just stored — it’s activated, powering new markets across every industry. Developers can build efficient and resilient data markets where trust and value-creation are the norm. It provides developers with the essential tools needed to power a more trustworthy data economy, giving users and organizations the peace of mind to trust the accuracy of AI outputs and giving builders the power to create apps where sensitive data is safe. As a result, data becomes more than just information, but the basis of new markets powered by Walrus. Users, as well as publishers and content creators, can monetize any kind of data. Researchers gain access to quality datasets to power discoveries. Companies can turn their data into new revenue streams, offset operational costs, and purchase new data to train the next generation of AI models”
This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.
Walrus (WAL) project facts
Source tags: Infrastructure, Storage, Sui Ecosystem, Binance Alpha Spotlight
Recorded networks: Sui
Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.
Walrus (WAL) FAQ
How does Walrus position data within emerging markets?
Walrus presents data as an asset that can support new markets rather than serving only as stored content. The project says its platform helps developers create marketplaces where data can be trusted, verified, and monetized. Its stated scope includes AI applications, decentralized finance, and other industries in which participants may exchange or build on data.
Who does Walrus say can benefit from its data economy?
The project identifies several participant groups, including developers, users, publishers, content creators, researchers, and companies. Walrus says creators can monetize different types of data, researchers can access datasets for discoveries, and companies can generate new revenue, reduce operating costs, or acquire data for training future AI models.
What role does Walrus assign to trust and verification in AI applications?
Walrus says trustworthy and provable data can help users and organizations assess the accuracy of AI outputs with greater confidence. It positions these capabilities as part of a broader effort to make data safer and more dependable for builders and intelligent systems. The project does not specify a particular verification standard or accuracy guarantee.
How does Walrus address sensitive data, according to the project?
Walrus positions its platform as giving builders tools to create applications in which sensitive data remains secure. The project links that protection to broader control over data for users and organizations. It does not specify the exact security architecture, privacy model, or safeguards used to protect sensitive material.
What kinds of applications does Walrus say developers can build?
The project says developers can create data markets, AI-agent applications, and decentralized-finance products using its platform. It also describes use cases involving dataset access, creator monetization, and corporate data exchange. These are stated applications and do not establish that every proposed market or integration is currently operational.
Walrus metric comparison
This comparison is a stored snapshot generated 2026-10-05 06:30 UTC from 275 daily observations available from 2025-12-30 through 2026-10-05. 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
$0.0359
$0.0257
$0.0335
+39.8%
n/a
Market cap
$93.92M
$65.79M
$82.39M
+42.8%
P96.2
YearBull Rank
#480
#2,049
#2,368
Improved 1,569
P94.6
Bull Score
78/100
28/100
38/100
+50.0 pts
P91.5
Turnover
4.23%
5.20%
4.08%
-1.0 pts
P75.2
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 2.67%; distance from the highest local daily price -77.4%; circulating supply change +66.0%. 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.
Walrus (WAL) is tracked under walrus-2. The local profile associates it with Infrastructure, Storage, Sui Ecosystem, Binance Alpha Spotlight. The source profile maps it to sui.
Asset Role and Supply
Its role should be evaluated through network or product use, supply design, governance, liquidity, and trading-venue quality. The reviewed record shows circulating supply about 2.56 billion WAL, total supply about 5.00 billion WAL, maximum supply about 5.00 billion WAL. It classifies supply as capped. Supply fields may change through issuance, burns, migrations, or source revisions and should be checked against project records.
Market Structure
At the 2026-09-12 review, the local snapshot placed Walrus at market-cap rank #356, with market capitalization about $70.64 million and reported 24-hour volume of $5.21 million. These values describe observed scale and turnover, not fair value or guaranteed executable liquidity.
YearBull Perspective
The dated snapshot recorded YearBull Rank #364, Bull Score 58/100, Risk Low, and Cycle Early. Rank, Bull, Risk, and Cycle answer different questions and should be read together.
Key Risks
Material risks include market volatility, liquidity deterioration, protocol or governance failure, concentration, and regulatory change. Historical prices, rankings, and classifications do not predict future performance. Verify contract addresses, network support, custody, and venue availability before acting.
Most recent YearBull Rank reading for walrus-2 is #268.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: smaller rank numbers are better.
7d window (2026-09-30): #428 → #268 (up by 160).
30d window (2026-09-07): #1285 → #268 (up by 1017).
YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Lower rank numbers indicate stronger placement in the current snapshot. Use it as positioning context over time, not as a promise.
Flow read: liquidity often shows up as how easily the rank holds its gains.
Venue context: a broader footprint often smooths the rank trajectory.
Stability posture: consistency often matters more than speed.
Cycle read: a quick bounce can still be a mean-reversion phase.
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
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Stored venue snapshot. Markets last checked: 2026-09-26. Next refresh window: around 2026-10-26. Venue listings and volumes are stored snapshots, not live quotes.
