Valencia CF Fan Token VCF

Crypto Token · Rank #3604 by Market Cap · Updated 2026-04-17

D
22.3/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
25
Maintenance (20%)
15
Popularity (15%)
80
Ecosystem (10%)
10

This token scores 22/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
2.95/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
STABLE
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$0.081278
Market Cap$541.0K
Market Cap Rank#3604
24h Volume$18.9K
24h Change+2.1%
7d Change-0.5%
30d Change-8.3%
Circulating Supply6.7M
Total Supply10.0M
Max Supply10.0M
All-Time High$4.95
All-Time Low$0.073427

How Valencia CF Fan Token Compares

Valencia CF Fan Token (VCF)22/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Valencia CF Fan Token scores 59 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Valencia CF Fan Token Trust Score?

Valencia CF Fan Token (VCF) has a ZARQ Trust Score of 22.3 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Valencia CF Fan Token safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Valencia CF Fan Token scored 0/100 on Security and 25/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Valencia CF Fan Token?

The current crash probability for Valencia CF Fan Token (VCF) is 33.0%. This is calculated using ZARQ's Distance-to-Default model, which measures 7 risk signals including liquidity depth, holder concentration, ecosystem resilience, and structural risk.

How does Valencia CF Fan Token compare to Bitcoin?

With a Trust Score of 22.3 (Grade D), Valencia CF Fan Token scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/valencia-cf-fan-token/bitcoin.

What is Valencia CF Fan Token's Vitality Score?

Valencia CF Fan Token's Vitality Score measures ecosystem health across 5 dimensions: Ecosystem Gravity, Capital Commitment, Coordination Efficiency, Stress Resilience, and Organic Momentum. Check the live Vitality Score at zarq.ai/v1/vitality/valencia-cf-fan-token.

Is Valencia CF Fan Token a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Valencia CF Fan Token (VCF) currently has a Trust Score of 22.3/100 (Grade D) and risk level UNKNOWN. Review the risk signals carefully before investing. See our methodology at zarq.ai/methodology for how scores are calculated.

Should I invest in Valencia CF Fan Token in 2026?

Valencia CF Fan Token (VCF) carries a D safety grade from ZARQ. Speculative-grade tokens require careful due diligence and position sizing. Review the full risk profile at zarq.ai/crypto/token/valencia-cf-fan-token before making any decisions.

How does Valencia CF Fan Token compare to Bitcoin in safety?

Valencia CF Fan Token has a ZARQ Trust Score of 22.3/100, compared to Bitcoin which typically scores above 75/100. Key differences may include security infrastructure, regulatory compliance, and ecosystem depth. See the full side-by-side at zarq.ai/compare/valencia-cf-fan-token-vs-bitcoin.

What is the Valencia CF Fan Token risk level today?

As of today, Valencia CF Fan Token (VCF) has a risk level of UNKNOWN. This is derived from ZARQ's structural risk model which monitors on-chain concentration, liquidity depth, developer activity, and market microstructure. Crash probability: 33.0%. Updated daily at zarq.ai/crypto/token/valencia-cf-fan-token.

What chains does Valencia CF Fan Token support?

Valencia CF Fan Token (VCF) is available on chiliz. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Valencia CF Fan Token safety report at zarq.ai/crypto/token/valencia-cf-fan-token.

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Trust ratings, Distance-to-Default (DtD) scores, crash probabilities, trading signals, and all other data are derived from quantitative models and may contain errors, lag behind real-time conditions, or fail to predict future outcomes. Past performance, whether backtested or live, is not indicative of future results. All backtested results are hypothetical and do not represent actual trading.

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