Cellframe CELL

Crypto Token · Rank #2509 by Market Cap · Updated 2026-04-16

D
26.9/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
30
Maintenance (20%)
20
Popularity (15%)
96
Ecosystem (10%)
10

This token scores 27/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
3.27/5.0
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$0.043286
Market Cap$1.6M
Market Cap Rank#2509
24h Volume$226.2K
24h Change-4.7%
7d Change-31.1%
30d Change-29.3%
Circulating Supply37.2M
Total Supply37.7M
Max SupplyN/A
All-Time High$7.21
All-Time Low$0.041104

How Cellframe Compares

Cellframe (CELL)27/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Cellframe scores 54 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Cellframe Trust Score?

Cellframe (CELL) has a ZARQ Trust Score of 26.9 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Cellframe safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Cellframe scored 0/100 on Security and 30/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.

What is the crash probability for Cellframe?

The current crash probability for Cellframe (CELL) is 18.0%. 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 Cellframe compare to Bitcoin?

With a Trust Score of 26.9 (Grade D), Cellframe scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/cellframe/bitcoin.

What is Cellframe's Vitality Score?

Cellframe'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/cellframe.

Is Cellframe a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Cellframe (CELL) currently has a Trust Score of 26.9/100 (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 Cellframe in 2026?

Cellframe (CELL) 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/cellframe before making any decisions.

How does Cellframe compare to Bitcoin in safety?

Cellframe has a ZARQ Trust Score of 26.9/100, 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/cellframe-vs-bitcoin.

What is the Cellframe risk level today?

As of today, Cellframe (CELL) 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: 18.0%. Updated daily at zarq.ai/crypto/token/cellframe.

What chains does Cellframe support?

Cellframe (CELL) is available on ethereum, cellframe, binance-smart-chain. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Cellframe safety report at zarq.ai/crypto/token/cellframe.

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Disclaimer — ZARQ provides data-driven crypto intelligence for informational and educational purposes only. Nothing on this website constitutes financial advice, investment advice, trading advice, or any other form of professional advice. ZARQ does not recommend buying, selling, or holding any cryptocurrency or financial instrument.

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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