Is BackedFi Safe?
Risk Grade: C+ (38/100)
BackedFi is rated as elevated risk — multiple novel mechanisms and notable interaction risks.
Moderate risk — well-structured regulated tokenized security issuer with Swiss legal backing and Chainlink integration, but centralized issuer risk and legal complexity are inherent to the model.
BackedFi creates tokenized versions of stocks and ETFs (like Apple, Tesla, and S&P 500 ETFs) that can be traded on-chain. Each bToken is fully backed by the actual underlying asset held by regulated custodians under Swiss law. The protocol has expanded to Ethereum, Gnosis, Arbitrum, Base, and Solana, and integrates with Chainlink for price feeds.
TVL
$12M
Mechanisms
5
Interactions
4
Value Grade
C-
Key Risks for BackedFi Users
bTokens are debt claims on BackedFi under Swiss law, not direct ownership of the underlying stock — if BackedFi goes bankrupt, you would be an unsecured creditor
Redeeming bTokens for the actual underlying asset requires completing KYC/AML verification, which limits your exit options compared to fully permissionless DeFi tokens
During stock market closures or halts, the on-chain price oracle may not reflect current conditions, creating temporary mispricing risk
Top Risk Factors
- •bTokens are tracker certificates under Swiss law representing debt claims — not direct ownership of underlying assets; counterparty risk falls on BackedFi as the issuer
- •Redemption of bTokens for underlying assets requires KYC/AML compliance and interaction with regulated custodians, limiting permissionless exit options
- •Price oracle accuracy is critical since bTokens must track real-world stock/ETF prices; any divergence between on-chain price and real market price creates arbitrage risk
Risk Score Breakdown
BackedFi's highest risk area is Vitality Risk (7/10). Here's how each dimension contributes to the overall 38/100 score:
Read the Full BackedFi Risk Report
This protocol has 2 collapse scenarios. 1 high-severity interaction risks identified. See the full mechanism classification, interaction matrix, and deep-dive recommendations.
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