Will Bunni v1 (BUNNI) Crash?

ZARQ crash model: Bunni v1 has a N/A% probability of a >50% decline in the next 30 days. NDD: N/A. Alert: WARNING. Rating: NR. Updated May 2026.

UNKNOWN

Insufficient data for crash probability assessment.

N/A%
Crash Probability
N/A
NDD
NR
Rating
WARNING
Alert Level

Crash Model Inputs

FactorValueSignal
Crash Probability (30d)N/A%Unknown
Distance-to-DefaultN/AN/A
Alert LevelWARNING
Structural Weakness1Flagged
Vitality71.9/100
Price$0.000008

ZARQ Crash Model Track Record

ZARQ's v3 crash prediction model has identified 144 structural collapses with 100% recall and 98% precision. Notable predictions include LUNA (detected 22 months before collapse), FTT (14 months), and UST (18 months). The model analyzes Distance-to-Default, structural weakness flags, liquidity depth, price momentum, and on-chain activity patterns.

What Happens If Bunni v1 Crashes?

A crash is defined as a >50% decline from current levels within 30 days. At current levels this would mean a price below $0.000004. ZARQ monitors contagion risk — a crash in Bunni v1 could affect correlated assets. View contagion map.

Frequently Asked Questions

Will Bunni v1 crash?
ZARQ's v3 crash model gives Bunni v1 a N/A% probability of a >50% decline in 30 days. NDD: N/A. Alert level: WARNING.
What is Bunni v1's crash probability?
Current crash probability: N/A%. This is based on ZARQ's v3 crash model which analyzes Distance-to-Default, structural weakness, liquidity depth, and price momentum.
Is Bunni v1 about to crash?
Alert level: WARNING. Elevated risk signals detected. Monitor closely.
What is Bunni v1's Distance-to-Default?
NDD (Normalized Distance-to-Default): N/A.
Has ZARQ predicted crashes before?
ZARQ has predicted 144 structural collapses with 100% recall. The model detected LUNA, FTT, and UST failures months before collapse. Average lead time: 22 months.

API Access

Get crash predictions programmatically:

curl -s zarq.ai/v1/crypto/check/bunni | jq '.crash_probability, .ndd, .alert_level'
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ZARQ ratings are quantitative risk assessments based on public blockchain data, not investment advice. Past performance does not predict future results. Always do your own research.