Gekko AI by Virtuals GEKKO

Crypto Token · Rank #5252 by Market Cap · Updated 2026-05-31

D
22.2/100
ZARQ Trust Score
Security (30%)
0
Compliance (25%)
30
Maintenance (20%)
15
Popularity (15%)
71
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
2.57/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
FALLING
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$0.000152
Market Cap$152.2K
Market Cap Rank#5252
24h Volume$95.1K
24h Change+87.4%
7d Change+65.2%
30d Change+62.0%
Circulating Supply1.0B
Total Supply1.0B
Max Supply1.0B
All-Time High$0.026405
All-Time Low$0.000077

How Gekko AI by Virtuals Compares

Gekko AI by Virtuals (GEKKO)22/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Gekko AI by Virtuals scores 59 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Gekko AI by Virtuals Trust Score?

Gekko AI by Virtuals (GEKKO) has a ZARQ Trust Score of 22.2 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Gekko AI by Virtuals safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Gekko AI by Virtuals 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 Gekko AI by Virtuals?

The current crash probability for Gekko AI by Virtuals (GEKKO) is 37.0%. 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 Gekko AI by Virtuals compare to Bitcoin?

With a Trust Score of 22.2 (Grade D), Gekko AI by Virtuals scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/gekko-ai/bitcoin.

What is Gekko AI by Virtuals's Vitality Score?

Gekko AI by Virtuals'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/gekko-ai.

Is Gekko AI by Virtuals a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Gekko AI by Virtuals (GEKKO) currently has a Trust Score of 22.2/100 (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 Gekko AI by Virtuals in 2026?

Gekko AI by Virtuals (GEKKO) 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/gekko-ai before making any decisions.

How does Gekko AI by Virtuals compare to Bitcoin in safety?

Gekko AI by Virtuals has a ZARQ Trust Score of 22.2/100, 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/gekko-ai-vs-bitcoin.

What is the Gekko AI by Virtuals risk level today?

As of today, Gekko AI by Virtuals (GEKKO) 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: 37.0%. Updated daily at zarq.ai/crypto/token/gekko-ai.

What chains does Gekko AI by Virtuals support?

Gekko AI by Virtuals (GEKKO) is available on base. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Gekko AI by Virtuals safety report at zarq.ai/crypto/token/gekko-ai.

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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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