This dashboard was developed using Streamlit and Plotly, and serves as a lightweight, explainable tool to assist compliance teams in identifying laundering risks in virtual fashion NFT trading.
It visualizes wallet behavior, structural patterns, and scoring metrics, while offering modular functionality for audit and export.
Key Modules:
Overview
Transaction summary, data timeframe, and volume stats
Behavior
Frequency charts, self-transfer detection, repeated pair flags
Risk Wallets
Sortable list with radar charts and score breakdown
Network
Interactive transaction graph with risk-based coloring
Insights
Narrative summaries of high-risk wallets and structures
Export
One-click PDF and CSV reports for compliance review
This dashboard can be integrated into pre-listing checks, post-trade surveillance, or periodic audits within NFT marketplaces.
It is intentionally lightweight and modular, making it deployable in resource-limited or early-stage compliance teams.
Potential applications include:
- Pre-listing due diligence for NFT platforms
- Risk scoring within metaverse economies
- Lightweight compliance systems for digital fashion marketplaces
- Red-flag detection for on-chain auditors or forensic analysts
Next Steps
Future enhancements could include:
- Cross-chain wallet behavior tracking
- Real-time risk monitoring with alert systems
- Integration with NFT exchange platforms via APIs
- Machine learning augmentation while maintaining explainability
User testing with compliance professionals could also help improve interface usability and scoring calibration.
Even in pseudonymous systems, laundering behavior leaves a trace—and that trace can be scored, visualized, and acted on.
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