Dollar Cost Average DCA

Crypto Token · Rank #3689 by Market Cap · Updated 2026-04-17

D
29.3/100
ZARQ Trust Score
Security (30%)
20
Compliance (25%)
30
Maintenance (20%)
12
Popularity (15%)
83
Ecosystem (10%)
10

This token scores 29/100. What's yours?

Free security check, 2 seconds, nothing stored.

Risk Intelligence
Risk Level
N/A
DtD Score
1.93/5.0
Crash Prob (90d)
0%
Credit Rating
N/A 0/100
Weakness
0/4
Trend
SLIDING
Bottlefish: None · 90d Drawdown: 0.0% · API · Signals Feed

Market Data

Price$0.000503
Market Cap$502.6K
Market Cap Rank#3689
24h Volume$2.4K
24h Change+1.0%
7d Change+21.0%
30d Change-41.5%
Circulating Supply999.5M
Total Supply999.5M
Max Supply1.0B
All-Time High$0.003015
All-Time Low$0.000006

How Dollar Cost Average Compares

Dollar Cost Average (DCA)29/100 (D)
Bitcoin (BTC)81/100 (A)
Ethereum (ETH)76/100 (B+)

Dollar Cost Average scores 52 points below Bitcoin. Full comparison →

Frequently Asked Questions

What is the Dollar Cost Average Trust Score?

Dollar Cost Average (DCA) has a ZARQ Trust Score of 29.3 out of 100, graded D. This score is calculated across five dimensions: Security (30%), Compliance (25%), Maintenance (20%), Popularity (15%), and Ecosystem (10%).

Is Dollar Cost Average safe to invest in?

The ZARQ Trust Score provides a data-driven risk assessment but is not investment advice. Dollar Cost Average scored 20/100 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 Dollar Cost Average?

The current crash probability for Dollar Cost Average (DCA) is 28.0%. 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 Dollar Cost Average compare to Bitcoin?

With a Trust Score of 29.3 (Grade D), Dollar Cost Average scores below Bitcoin, which typically rates above 70/100. Compare detailed metrics at zarq.ai/v1/crypto/compare/dollar-cost-average/bitcoin.

What is Dollar Cost Average's Vitality Score?

Dollar Cost Average'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/dollar-cost-average.

Is Dollar Cost Average a good investment in 2026?

ZARQ provides risk intelligence, not investment advice. Dollar Cost Average (DCA) currently has a Trust Score of 29.3/100 (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 Dollar Cost Average in 2026?

Dollar Cost Average (DCA) 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/dollar-cost-average before making any decisions.

How does Dollar Cost Average compare to Bitcoin in safety?

Dollar Cost Average has a ZARQ Trust Score of 29.3/100, 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/dollar-cost-average-vs-bitcoin.

What is the Dollar Cost Average risk level today?

As of today, Dollar Cost Average (DCA) 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: 28.0%. Updated daily at zarq.ai/crypto/token/dollar-cost-average.

What chains does Dollar Cost Average support?

Dollar Cost Average (DCA) is available on solana. Multi-chain availability can improve liquidity and ecosystem reach. Check the full Dollar Cost Average safety report at zarq.ai/crypto/token/dollar-cost-average.

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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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