Trading activity:
Reported 24-hour volume equals 0.00% of market capitalization. The local markets snapshot lists Meteora DAMM V2 among venues with observed trading activity.
YearBull indicators:
YearBull Rank #3,936. 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 0.01% · 7d -4.14% · 30d -19.58%.
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 Habitat (HABITAT)?
Source description
“Habitat converts wasted renewable energy into AI compute power. Over 100 TWh of renewable electricity is curtailed globally each year, representing billions in lost value. We address this by deploying industrial-scale edge data centers that redirect surplus energy into productive compute, with an upcoming marketplace where operators can source customers and keep hardware profitable. We run 45 MW of solar infrastructure with 1.5 GW in the pipeline, building decentralized AI and Web3 hardware infrastructure created for and powered by the crypto community.”
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.
Habitat (HABITAT) FAQ
How does Habitat propose to use curtailed renewable electricity?
Habitat says it redirects surplus renewable power that would otherwise be curtailed into productive computing. Its stated approach is to place industrial-scale edge data centers near renewable energy infrastructure, allowing excess electricity to support AI compute rather than remain unused. The project frames this as a way to connect energy that might be wasted with demand for computing capacity.
What role would Habitat’s edge data centers play in its model?
The project presents industrial-scale edge data centers as the physical infrastructure supporting its energy-to-compute model. These facilities are intended to operate close to renewable generation, using available surplus power for AI and Web3-related hardware. Habitat says this distributed approach can help turn underused energy capacity into computing resources while expanding decentralized infrastructure.
What is Habitat’s planned marketplace intended to provide?
Habitat says it plans to launch a marketplace where data-center operators can find customers for their available computing capacity. The project also presents the marketplace as a way for operators to keep hardware economically productive. Details such as marketplace fees, customer eligibility, service terms, and the process for matching workloads with facilities are not specified.
What scale of renewable infrastructure does Habitat say it operates or has planned?
Habitat states that it runs 45 MW of solar infrastructure and has a further 1.5 GW in its pipeline. These figures describe the scale of the project’s stated energy platform, but they do not by themselves establish how much computing capacity is currently deployed, how the pipeline will be delivered, or when additional facilities may become operational.
How does Habitat position its infrastructure within AI and Web3?
Habitat positions its infrastructure as a decentralized computing foundation for AI and Web3 hardware. The project says this infrastructure is created for and powered by the crypto community, combining renewable-energy deployment with distributed computing facilities. It does not specify the supported hardware, workload types, customer applications, or governance process for managing this broader infrastructure.
Habitat metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:30 UTC from 292 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
$0.00725362
$0.00851167
$0.00619133
-14.8%
n/a
Market cap
$531.0K
$623.2K
$619.1K
-14.8%
P58.2
YearBull Rank
#3,091
#955
n/a
Lower by 2,136
P63.8
Bull Score
56/100
73/100
n/a
-17.0 pts
P63.7
Turnover
0.00%
0.00%
0.06%
0.0 pts
P2.6
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 1.43%; distance from the highest local daily price -83.1%; circulating supply change -0.5%. These measurements are descriptive and do not predict future direction.
YearBull Rank update
Latest available YearBull Rank for habitat-2: #3936.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: rank #120 sits higher than rank #200.
7d window (2026-10-20): #3350 → #3936 (down by 586).
30d window (2026-09-28): #1576 → #3936 (down by 2360).
Regime context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle pressure can surface as slow bleed in rank.
Liquidity angle: If the line improves during quiet periods, it can be accumulation. rank can move when liquidity redistributes across the cohort.
Where it trades: If the line is step-like, watch for discrete market changes. consolidation can make rank more stable.
Volatility posture: If the curve is step-like, it may be reacting to discrete inputs. big jumps can be data-driven, but also rotation-driven.
YearBull Rank is a relative placement score used on YearBull to compare a coin against peers within the same dataset. It is a context signal for relative placement, not an outcome forecast.
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: 2026-07-26. Updated on a rolling basis; no fixed refresh date is promised. Venue listings and volumes are stored snapshots, not live quotes.
