Flash Loan Event Scoring

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
FlashLoanEventScoring	FlashLoanQueryParams	FlashLoanEventData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.flash_loan_event_scoring import (
    FlashLoanEventScoring,
    FlashLoanQueryParams,
    FlashLoanEventData,
)

---

Parameters

Name	Type	Description	Default	Optional
protocol_name	str	Name of the protocol to monitor for flash loan events (e.g., Aave, Compound).	None	False
event_window	int	Time window (in minutes) for detecting flash loan activity.	60	True
risk_threshold	float	Risk score threshold (0-100) to flag suspicious events.	75	True

---

Data

Name	Type	Description
protocol_name	str	Name of the protocol where the flash loan occurred.
event_id	str	Unique identifier for the flash loan event.
loan_amount	float	Amount borrowed in the flash loan.
risk_score	float	Risk score (0-100) based on the event’s impact and abnormality.
timestamp	datetime	Timestamp of the event.

---

Key Features

• Anomaly Detection: Identifies abnormal flash loan activity, such as rapid liquidations or exploit patterns.

• Impact Scoring: Quantifies the financial and systemic risk of each event.

• Protocol-Specific Tracking: Enables focused monitoring on specific DeFi protocols.