Trading activity:
Reported 24-hour volume equals 3.02% of market capitalization. The local markets snapshot lists Gate and MEXC among venues with observed trading activity.
YearBull indicators:
YearBull Rank #5,771. Bull Score 40/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h 5.60% · 7d -7.89% · 30d -16.47%.
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 Vtrading (VTRADING)?
Source description
“The revolution of AI-driven quantitative services for digital assets The evolution of digital asset trading and the importance of quantitative strategies in the modern market are not to be overlooked. Vtrading has recognized this changing situation and is committed to providing complex, Artificial Intelligence (AI) driven trading strategies to users of different levels.”
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.
Vtrading (VTRADING) FAQ
How does Vtrading say it applies artificial intelligence to digital-asset trading?
Vtrading presents its platform as using artificial intelligence to develop quantitative trading strategies for digital assets. The project frames these strategies as complex rather than relying only on simple trading rules. However, it does not specify the models, data inputs, execution methods, or performance measurements behind its AI-driven approach.
What role do quantitative strategies play in Vtrading’s stated offering?
The project positions quantitative strategies as an important part of modern digital-asset markets. Vtrading says its service is built around complex strategy development intended to address changes in digital-asset trading. It does not explain the specific indicators, statistical methods, risk controls, or portfolio rules used by those strategies.
Who does Vtrading say its trading strategies are intended to serve?
Vtrading states that it aims to offer its AI-driven quantitative services to users with different levels of trading experience. This suggests an intended audience broader than professional or highly technical traders alone. The project does not define its user categories, onboarding process, educational support, or how strategy access differs between experience levels.
What market change does Vtrading identify as motivating its platform?
Vtrading points to the evolution of digital-asset trading and the growing importance of quantitative approaches as the reason for its focus. The project presents these developments as creating a need for more complex trading strategies. It does not identify a particular market segment, trading venue, asset class, or problem that its platform exclusively addresses.
Does Vtrading explain how users access or apply its strategies?
The project says it is committed to offering AI-driven quantitative trading services, but it does not detail how users interact with those services. Specifics such as account structure, strategy selection, execution arrangements, custody, fees, reporting, and risk-management controls are not stated. Consequently, the practical user workflow remains unspecified.
Vtrading metric comparison
This comparison is a stored snapshot generated 2026-10-23 06:31 UTC from 291 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
$0.00007484
$0.00009979
$0.00069954
-25.0%
n/a
Market cap
$74.8K
$99.8K
$699.5K
-25.0%
P29.0
YearBull Rank
#6,863
#7,353
#5,259
Improved 490
P19.7
Bull Score
30/100
15/100
20/100
+15.0 pts
P22.2
Turnover
1.77%
11.41%
1.72%
-9.6 pts
P63.4
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Mid
Unchanged
n/a
Median absolute daily movement 2.72%; distance from the highest local daily price -98.5%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.
YearBull Rank timeline
Latest available YearBull Rank for vtrading: #5771.
Rank timeline (last 365 days)
Rank change (nearest points).
Reading rule: smaller rank numbers are better.
7d window (2026-10-20): #5504 → #5771 (down by 267).
30d window (2026-09-27): #8668 → #5771 (up by 2897).
YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. It is meant for comparison and tracking, not certainty.
Cycle view: If the 7d is weak but 30d is strong, it can be a pullback in an up-phase.
Risk context: If it improves then retraces fast, treat it as rotation pressure.
Market access: If rank holds gains, the footprint is likely supporting the move.
Turnover context: 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:
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.
