This token scores 19/100. What's yours?
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| Price | $0.000634 |
| Market Cap | $250.2K |
| Market Cap Rank | #4484 |
| 24h Volume | $1.2K |
| 24h Change | -4.7% |
| 7d Change | +41.6% |
| 30d Change | +53.3% |
| Circulating Supply | 394.4M |
| Total Supply | 1.0B |
| Max Supply | 1.0B |
| All-Time High | $0.226052 |
| All-Time Low | $0.000348 |
| Swan Chain (SWAN) | 19/100 (F) |
| Bitcoin (BTC) | 81/100 (A) |
| Ethereum (ETH) | 76/100 (B+) |
Swan Chain scores 62 points below Bitcoin. Full comparison →
Swan Chain (SWAN) has a ZARQ Trust Score of 18.9 out of 100, graded F. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).
The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Swan Chain scored 0/100 on Security and 21/100 on Compliance. Current risk level: UNKNOWN. Always do your own research and consult a financial advisor.
The current crash probability for Swan Chain (SWAN) 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.
With a Trust Score of 18.9 (Grade F), Swan Chain scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/swan-chain/bitcoin.
Swan Chain'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/swan-chain.
ZARQ provides risk intelligence, not investment advice. Swan Chain (SWAN) currently has a Trust Score of 18.9/100 (Grade F) and risk level UNKNOWN. Review the risk signals carefully before investing. See our methodology at zarq.ai/methodology for how scores are calculated.
Swan Chain (SWAN) carries a F safety grade from ZARQ. Speculative-grade tokens require careful due diligence and position sizing. Review the full risk profile at zarq.ai/crypto/token/swan-chain before making any decisions.
Swan Chain has a ZARQ Trust Score of 18.9/100, 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/swan-chain-vs-bitcoin.
As of today, Swan Chain (SWAN) 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/swan-chain.
Swan Chain (SWAN) is available on its native blockchain. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Swan Chain safety report at zarq.ai/crypto/token/swan-chain.
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.
Crypto assets are highly volatile, speculative, and may result in total loss of invested capital. You should conduct your own research (DYOR) and consult a qualified, licensed financial advisor before making any investment decisions. ZARQ is not registered as a broker-dealer, investment advisor, or financial institution in any jurisdiction.
By using this website, you acknowledge that you bear sole responsibility for your own investment decisions and that ZARQ, its founders, contributors, and affiliates accept no liability for any losses, damages, or consequences arising from the use of information provided herein.