Files
Patrick Selamy 96e471882a feat: implement SniperDetector with DBSCAN clustering (#16)
Add sniper cluster detection system that identifies wallets exhibiting
coordinated "sniper" behavior - consistently entering markets within
minutes of their creation.

Key features:
- SniperDetector class using DBSCAN clustering algorithm
- Tracks wallet entries across markets with timing analysis
- Feature vector: market hash, entry delta, log position size
- Identifies clusters of wallets with similar timing patterns
- Generates SniperClusterSignal for detected cluster members
- Configurable entry threshold (default 5 minutes), cluster size, DBSCAN params
- Confidence scoring based on cluster size, entry speed, market overlap

Also adds:
- SniperClusterSignal model to detector/models.py
- scikit-learn and numpy dependencies for ML clustering
- 27 comprehensive tests covering clustering logic and edge cases

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-04 16:59:53 -05:00

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description = "Detect insider activity on Polymarket"
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