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>
## Summary
- Add PolygonClient for blockchain data queries with rate limiting, retry logic, and Redis caching
- Implement Transaction and WalletInfo data models with unit conversions
- Add comprehensive test coverage (51 tests)
## Features
- Token bucket rate limiter to respect RPC provider limits
- Exponential backoff retry logic with configurable attempts
- Automatic failover to secondary RPC URL
- Redis caching with configurable TTL
- Methods: get_transaction_count, get_balance, get_token_balance, get_block, get_wallet_info
## Test plan
- [x] All 51 profiler tests pass
- [x] Ruff lint passes
- [x] Mypy type check passes
Closes#8🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
