On-Chain Loan Risk Analytics

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
OnChainLoanRiskAnalytics	LoanRiskQueryParams	LoanRiskData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.on_chain_loan_risk_analytics import (
    OnChainLoanRiskAnalytics,
    LoanRiskQueryParams,
    LoanRiskData,
)

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Parameters

Name	Type	Description	Default	Optional
protocol_name	str	Name of the lending protocol to analyze (e.g., Compound, MakerDAO).	None	False
collateral_threshold	float	Minimum collateral ratio to flag loans as at-risk.	1.2	True
time_horizon	int	Forward-looking window (in hours) for risk projection.	24	True

---

Data

Name	Type	Description
protocol_name	str	Lending protocol being analyzed.
at_risk_loans	int	Number of loans below the collateral threshold.
largest_at_risk_loan	dict	Details of the largest at-risk loan (borrower, amount, collateral).
projected_liquidation_volume	float	Estimated total liquidation volume.
timestamp	datetime	Timestamp of the risk analysis.

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Key Features

• Real-Time Risk Monitoring: Identifies loans approaching or breaching collateral thresholds.

• Liquidation Impact Simulation: Projects potential market impact of at-risk loans.

• Protocol-Specific Insights: Tailored analytics for major lending platforms.