Trading activity:
Reported 24-hour volume equals 2.37% of market capitalization. The local markets snapshot lists MEXC, KCEX and Uniswap V2 (Ethereum) among venues with observed trading activity.
YearBull indicators:
YearBull Rank #4,407. Bull Score 50/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 0.00% · 7d -12.18% · 30d -5.94%.
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 HashAI (HASHAI)?
Source description
“Where Artificial Intelligence Meets Mining Excellence With vast Crypto and Web3 experience, the Hash AI team has established the infrastructure, partnerships, and distribution network for a successful Crypto mining company. This involves mining rig supplies, rig hosting and GPU sales, and a mining facility with over 500 top GPUs. Harnessing the power of AI, we've developed an intelligent mining algorithm that maximizes hash power by selecting and mining the most efficient coins across L1 Blockchains in real-time. Unique Hash AI Token We also are introducing our very own Hash AI token. Income from our AI-enhanced mining rigs will be shared with token holders. Objectives of Hash AI Maximize Returns Introduce a mining algorithm that maximizes returns through AI-optimization. Expand Our Services Expand mining facility for better efficiency, and introduce Hash & Node rental. Establish Global Leadership Establish Hash AI as a global leader in sustainable and efficient mining practices.”
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.
HashAI (HASHAI) FAQ
How does Hash AI say its mining algorithm selects coins?
The project says its algorithm uses artificial intelligence to monitor coins across Layer 1 blockchains in real time and select those it considers most efficient to mine. Hash AI presents this approach as a way to maximize the hash power and returns of its mining operations. The materials do not specify the algorithm’s inputs, evaluation criteria, or independently verified performance.
What mining infrastructure does Hash AI describe?
Hash AI states that it operates a mining facility with more than 500 GPUs and has capabilities spanning mining rig supplies, rig hosting, and GPU sales. The project presents this infrastructure as the foundation for its AI-enhanced mining activity. It does not specify the facility’s location, hardware models, operating capacity, or current production levels.
How are token holders said to participate in mining income?
The project says that income from its AI-enhanced mining rigs will be shared with Hash AI token holders. This positions HASHAI as a token connected to the project’s mining business rather than solely as a stand-alone digital asset. The materials do not specify the distribution formula, payment schedule, eligibility rules, or whether returns are guaranteed.
Which additional services does Hash AI plan to introduce?
Hash AI says it intends to expand its services through Hash and Node rental offerings, alongside its existing focus on rig supplies, hosting, and GPU sales. The project presents these additions as part of an effort to broaden its mining-related business. It does not specify rental terms, supported assets, pricing, availability, or launch timing.
What does Hash AI mean by expanding its mining operations?
The project states that it aims to expand its mining facility to improve efficiency and establish a global position in sustainable and efficient mining practices. These are stated objectives rather than independently demonstrated outcomes. Hash AI does not define the sustainability measures it plans to use, the scale of the expansion, or the milestones for assessing progress.
HashAI 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
$0.00001449
$0.0000153
$0.00001228
-5.3%
n/a
Market cap
$1.24M
$1.30M
$1.04M
-4.5%
P67.2
YearBull Rank
#2,908
#2,594
#5,307
Lower by 314
P65.9
Bull Score
50/100
43/100
22/100
+7.0 pts
P49.6
Turnover
2.03%
2.25%
3.19%
-0.2 pts
P65.6
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 2.68%; distance from the highest local daily price -88.1%; circulating supply change -4.9%. These measurements are descriptive and do not predict future direction.
YearBull Rank context
Newest YearBull Rank value for hashai: #4407.
Rank timeline (last 365 days)
Rank movement (nearest daily data).
Reading rule: smaller rank numbers are better.
7d window (2026-10-21): #2709 → #4407 (down by 1698).
30d window (2026-09-28): #4532 → #4407 (up by 125).
YearBull Rank is a comparative ordering used on YearBull to place a coin versus others using a consistent set of inputs. Lower rank numbers correspond to stronger relative placement. Use it as positioning context over time, not as a promise.
Cycle view: Compare the 30d move with the 7d move to see if momentum is accelerating or fading.
Risk context: If it improves then retraces fast, treat it as rotation pressure.
Route context: If rank holds gains, the footprint is likely supporting the move.
Liquidity framing: If the curve jumps, check whether the cohort moved too (relative effects).
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:
Venue refresh pending. Markets last checked: 2026-07-26. The next refresh is queued in the hourly updater. Venue listings and volumes are stored snapshots, not live quotes.
