Real-Time Regulatory Risk Map

Implementation Details

Class Names

Model Name	Parameters Class	Data Class
RegulatoryRiskMapping	RegulatoryRiskQueryParams	RegulatoryRiskData

Import Statement

pythonCopyEditfrom satoshi_terminal.models.regulatory_risk_map import (
    RegulatoryRiskMapping,
    RegulatoryRiskQueryParams,
    RegulatoryRiskData,
)

---

Parameters

Name	Type	Description	Default	Optional
region	Union[str, List[str]]	Geographic region(s) to monitor for regulatory changes (e.g., US, EU, Asia).	None	True
asset_class	Union[str, List[str]]	Type(s) of assets for regulatory analysis (e.g., "Utility Tokens," "Stablecoins").	None	True
compliance_focus	List[str]	Specific compliance areas to assess (e.g., "KYC Requirements," "AML Guidelines").	None	True
time_horizon	int	Forward-looking analysis period (in months).	6	True

---

Data

Name	Type	Description
region	str	Geographic region assessed for risk.
regulatory_score	float	Composite risk score (0-100) based on regulatory environment and compliance outlook.
recent_policy_changes	List[dict]	Details of recent policy updates impacting assets in the region.
asset_class	str	Type of asset analyzed for regulatory impact.
timestamp	datetime	Timestamp of the analysis execution.

---

Key Features

• Dynamic Region Tracking: Monitor changing regulations across multiple jurisdictions in real time.

• Asset-Specific Compliance Scoring: Provide granular compliance insights for different asset classes.

• Forward-Looking Risk Modeling: Simulate future regulatory scenarios based on policy trends and geopolitical factors.

• Regulatory Dependency Mapping: Highlight interdependencies between different regional compliance landscapes (e.g., EU-US alignment).

• Alert Triggers: Notify users of significant changes, such as a region banning or endorsing specific crypto activities.