META FINANCIAL AI (MEFAI) market snapshot:
Price $0.00126217, market capitalization $712.18K,
and reported 24-hour volume $7.34K.
Trading activity:
Reported 24-hour volume equals 1.03% of market capitalization. The local markets snapshot lists XT.COM, PancakeSwap (v2) and Raydium among venues with observed trading activity.
YearBull indicators:
YearBull Rank #1,979. Bull Score 59/100.
YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment.
Cycle Early. Observed price change: 24h -1.39% · 7d -0.76% · 30d 11.82%.
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 META FINANCIAL AI (MEFAI)?
Source description
“MEFAI is an institutional-grade trading intelligence system leveraging AI to process high-frequency data streams from on-chain activity, derivatives markets, order book depth, and behavioral sentiment. It delivers real-time structural market bias signals for strategic decision-making. Designed for professionals, MEFAI eliminates emotional bias and provides a transparent, rules-based edge in modern algorithmic environments.”
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.
META FINANCIAL AI (MEFAI) FAQ
How does MEFAI combine different market data streams?
The project states that MEFAI processes several types of market activity, including on-chain transactions, derivatives markets, order-book depth, and behavioral sentiment. It presents this combination as a way to assess market structure across multiple signals rather than relying on a single indicator. The project does not specify the exact data sources, processing methods, or weighting applied to each stream.
What does MEFAI mean by real-time structural market bias signals?
MEFAI presents its output as real-time signals intended to indicate structural market bias. These signals are described as tools for strategic decision-making, rather than as guarantees of market direction or performance. The project does not define the signal categories, update frequency, validation process, or criteria used to determine when a bias has changed.
Who is MEFAI designed to serve?
The project positions MEFAI for professionals and describes it as an institutional-grade trading intelligence system. Its stated audience appears to include market participants working in algorithmic or data-driven trading environments. However, the project does not specify particular professional roles, organization types, access requirements, pricing, or whether the platform is intended for individual users as well.
How does MEFAI address emotional bias in trading decisions?
MEFAI says it is designed to reduce emotional bias by presenting a transparent, rules-based approach to market analysis. The stated aim is to support decisions through defined signals and structured inputs rather than discretionary reactions. The project does not detail the rules, explain how transparency is implemented, or establish whether its approach consistently removes subjective judgment from trading activity.
What role does algorithmic trading play in MEFAI’s positioning?
The project places MEFAI within modern algorithmic trading environments, where market participants may use structured signals to support systematic strategies. It describes the platform as delivering market-bias indicators for strategic decision-making, but does not specify whether MEFAI executes trades, connects to trading systems, exposes an application interface, or functions solely as an analytical dashboard.
META FINANCIAL AI metric comparison
This comparison is a stored snapshot generated 2026-10-07 06:30 UTC from 277 daily observations available from 2025-12-30 through 2026-10-07. 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
$0.00125271
$0.0011288
$0.00098041
+11.0%
n/a
Market cap
$706.8K
$637.4K
$553.2K
+10.9%
P62.1
YearBull Rank
#2,486
#2,249
#1,647
Lower by 237
P72.5
Bull Score
56/100
43/100
49/100
+13.0 pts
P64.0
Turnover
1.11%
9.03%
12.18%
-7.9 pts
P57.3
YB Market Risk
Low
Low
Low
Unchanged
n/a
Cycle
Early
Early
Early
Unchanged
n/a
Median absolute daily movement 3.32%; distance from the highest local daily price -74.0%; circulating supply change -1.8%. These measurements are descriptive and do not predict future direction.
YearBull Rank on this page
Most recent YearBull Rank reading for meta-financial-ai is #1979.
Rank timeline (last 365 days)
Rank movement (time windows).
Reading rule: lower numbers mean higher placement.
7d window (2026-09-30): #2130 → #1979 (up by 151).
30d window (2026-09-07): #2249 → #1979 (up by 270).
YearBull Rank is a relative ranking on YearBull designed to compare coins on a common scale and time window. Lower values mean higher placement in the YearBull ordering.
Cycle view: If the line is range-bound, treat changes as relative, not absolute.
Risk view: If it improves then retraces fast, treat it as rotation pressure.
Execution context: If rank moves sharply, it may reflect venue mix changes rather than fundamentals.
Liquidity view: If the line flatlines, the coin may be moving with its liquidity peers.
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.
