Trading activity:
Reported 24-hour volume equals 3.59% of market capitalization. The local markets snapshot lists Upbit, Bithumb and Coinone among venues with observed trading activity.
YearBull indicators:
YearBull Rank #1,257. Bull Score 53/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -1.13% · 7d 1.04% · 30d -16.20%.
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 Mossland (MOC)?
Source description
““Mossland” is a location-based AR mobile game based on real estate. Users can identify real properties in vicinity, acquire and trade them in the game. Virtual properties in the game can be tradable and liquified through cryptocurrency exchange, so users will put time and effort to increase the value of their properties.”
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.
Mossland (MOC) FAQ
How does Mossland connect augmented reality with in-game real estate?
Mossland presents itself as a location-based augmented-reality mobile game centered on real estate. Users can identify properties near their physical surroundings and acquire or trade corresponding virtual properties within the game. This design links location-based discovery with digital ownership and trading, although the project does not specify how properties are selected, mapped, or validated.
What can users do with virtual properties in Mossland?
According to the project, users can acquire and trade virtual properties associated with real-world locations. These properties are presented as tradable game assets, allowing participants to buy, hold, and potentially sell them through cryptocurrency exchange mechanisms. The project does not specify the complete transaction process, applicable fees, or how ownership transfers are handled.
How does cryptocurrency relate to Mossland’s virtual property economy?
Mossland states that virtual properties can be traded and converted into value through cryptocurrency exchanges. This positions cryptocurrency as the liquidity mechanism for the game’s property economy, rather than merely an in-game scoring system. The project does not specify which exchange assets or trading pairs are used, nor does it explain the conditions governing conversion.
What role does location play in Mossland’s gameplay?
Location is central to Mossland’s gameplay concept: users identify real properties in their vicinity and interact with related virtual properties in the game. The location-based structure is intended to make nearby real-world places relevant to acquisition and trading decisions. The project does not explain whether access depends on geographic boundaries, GPS accuracy, regional availability, or property-specific eligibility.
What does Mossland say motivates users to develop their virtual properties?
The project says users may invest time and effort to increase the value of their virtual properties. This suggests a gameplay model in which participation and property development are linked to potential changes in perceived in-game value. However, the project does not specify the activities that raise value, the valuation formula, or whether any increase is guaranteed.
Mossland metric comparison
This comparison is a stored snapshot generated 2026-10-22 06:31 UTC from 292 daily observations available from 2025-12-30 through 2026-10-22. 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
$0.0201
$0.0206
$0.0177
-2.5%
n/a
Market cap
$9.05M
$9.29M
$7.94M
-2.5%
P84.7
YearBull Rank
#841
#519
#1,325
Lower by 322
P90.1
Bull Score
65/100
67/100
58/100
-2.0 pts
P81.6
Turnover
1.74%
4.03%
0.49%
-2.3 pts
P63.5
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 1.33%; distance from the highest local daily price -49.7%; circulating supply change +2.3%. 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.
Mossland: project profile and documented design
Mossland's official site identifies MOC and publishes project disclosures; its official repository contains the Moss Coin contract and project index.
YearBull Rank overview
Latest available YearBull Rank for mossland: #1257.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-10-21): #1640 → #1257 (up by 383).
30d window (2026-09-28): #187 → #1257 (down by 1070).
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. A smaller rank number indicates a stronger position at that moment.
Rotation context: If the 7d is weak but 30d is strong, it can be a pullback in an up-phase.
Route context: If rank moves sharply, it may reflect venue mix changes rather than fundamentals.
Risk view: Read it as "how stable is the position" rather than "how exciting is today".
Turnover context: If the line flatlines, the coin may be moving with its liquidity peers.
Practical note: stability often signals more than spikes.
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: 2026-10-25. Next refresh window: around 2027-01-23. Venue listings and volumes are stored snapshots, not live quotes.
