Add FundingTracer class that traces USDC transfers backwards from a target
wallet to identify funding sources. Key features:
- Traces funding chain up to configurable max hops (default 3)
- Identifies terminal entities (CEX hot wallets, bridges) using EntityRegistry
- Parses ERC20 Transfer event logs from Polygon blockchain
- Calculates suspiciousness scores based on funding patterns
- Supports batch tracing multiple addresses concurrently
Also adds FundingTransfer and FundingChain dataclasses to models.py
for representing funding chain data.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add EntityType enum for classifying blockchain entities
- Add entity_data.py with Polygon CEX hot wallets, bridges, DEX contracts
- Add EntityRegistry class with classify/is_terminal methods
- Support custom entity additions and overrides
- Include 49 comprehensive unit tests
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add SQLAlchemy models for wallet profiles, funding transfers, and relationships
- Add WalletRepository, FundingRepository, RelationshipRepository with async support
- Add DatabaseManager for connection and session management
- Add Alembic migration for initial schema
- Include comprehensive test suite with 21 tests using in-memory SQLite
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add AlertHistory class for Redis-based alert tracking
- Add AlertRecord dataclass for serialization/deserialization
- Implement deduplication by wallet/market/hour combination
- Add time-based indexes for efficient querying
- Support user feedback tracking on alerts
- Include cleanup of old alerts beyond retention period
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implements AlertDispatcher with multi-channel delivery support:
- DiscordChannel using webhook URL with embed formatting
- TelegramChannel using Bot API with MarkdownV2
- Rate limiting per channel (configurable)
- Circuit breaker pattern for failing channels
- Async delivery with retry and exponential backoff
- 23 comprehensive tests
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implements AlertFormatter class that transforms RiskAssessment objects
into formatted messages for Discord (embeds), Telegram (markdown), and
plain text channels. Includes FormattedAlert dataclass, helper functions
for address truncation and risk level display, and comprehensive tests.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement RiskScorer that combines signals from multiple detectors into
a unified risk assessment with weighted scoring and deduplication.
Features:
- SignalBundle for collecting signals for a single trade
- RiskAssessment dataclass with complete scoring metadata
- Configurable weights for each signal type
- Multi-signal bonus (1.2x for 2 signals, 1.3x for 3+)
- Redis-based deduplication (1 hour window by default)
- Alert threshold configuration (default: 0.6)
- Batch assessment for processing multiple trades
- A/B testing support via dynamic weight updates
Default weights:
- fresh_wallet: 0.40
- size_anomaly: 0.35
- niche_market: 0.25
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement SizeAnomalyDetector for identifying trades with unusually
large position sizes relative to market liquidity.
Features:
- Volume impact analysis (trade size / 24h volume)
- Order book impact analysis (trade size / book depth)
- Niche market detection using category heuristics
- Confidence scoring with configurable thresholds
- Batch analysis for processing multiple trades
The detector gracefully handles missing volume/book data by falling
back to category-based heuristics for identifying niche markets
where large trades are more significant.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add FreshWalletDetector class that identifies trades from fresh wallets
and generates alert signals with confidence scores.
Features:
- FreshWalletSignal dataclass with trade/wallet data and confidence
- Configurable thresholds for nonce, age, and minimum trade size
- Confidence scoring based on wallet freshness and trade characteristics
- Batch analysis support with parallel processing
- Integration with WalletAnalyzer from profiler module
Confidence scoring:
- Base: 0.5 (fresh wallet detected)
- +0.2 if nonce == 0 (brand new)
- +0.1 if age < 2 hours (very young)
- +0.1 if trade size > $10,000 (large trade)
🤖 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>
Implements the HealthMonitor class for tracking connection health:
- Tracks connection states per stream (active, stale, disconnected)
- Records events and calculates throughput (events/second)
- Detects stale streams (no events for configurable threshold)
- Exposes Prometheus-compatible metrics endpoint (/metrics)
- Provides HTTP health endpoints (/health, /ready, /live)
Exports: HealthMonitor, HealthReport, HealthStatus, StreamHealth, StreamStatus
Tests: 47 comprehensive unit tests covering all functionality
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement EventPublisher class for publishing trade events to Redis
Streams, enabling decoupled downstream processing. Key features:
- EventPublisher wrapping Redis Streams XADD/XREADGROUP commands
- Single and batch publishing with configurable max stream length
- Consumer group management (create/ensure)
- Event reading with pending entry recovery
- Acknowledgment helpers for exactly-once semantics
- Stream info and trimming utilities
- Full TradeEvent serialization/deserialization
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Implement MarketMetadataSync class for background synchronization of
market metadata with Redis-based caching. Key features:
- MarketMetadata dataclass with derived category field
- Automatic category derivation from market title (politics, crypto,
sports, entertainment, finance, tech, science, other)
- Background sync loop with configurable interval (default: 5 min)
- Redis caching with TTL-based expiration (default: 10 min)
- Cache-first lookups via get_market() method
- State management with callbacks for monitoring
- Comprehensive test suite (29 tests)
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add TradeEvent dataclass for trade data from WebSocket feed
- Implement TradeStreamHandler with async WebSocket streaming
- Add automatic reconnection with exponential backoff (1s-30s)
- Support event/market filtering for targeted subscriptions
- Include connection state management and statistics tracking
- Add websockets>=12.0 dependency
Acceptance Criteria:
- [x] TradeStreamHandler class using websockets library
- [x] Connects to Polymarket WSS endpoint
- [x] Subscribes to market trade channel on connection
- [x] Parses trade messages into TradeEvent dataclass
- [x] Implements heartbeat/ping-pong for connection health
- [x] Auto-reconnects on disconnect with exponential backoff
- [x] Emits events via callback pattern
- [x] Logs connection state changes
Closes#3🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add ClobClient class wrapping py-clob-client library
- Implement rate limiting (10 requests/second) with token bucket
- Add retry logic with exponential backoff (3 retries)
- Load API key from POLYMARKET_API_KEY environment variable
- Create Market, Orderbook, Token dataclass models
- Add comprehensive unit tests with mocked responses
Acceptance Criteria:
- [x] ClobClient class that wraps py-clob-client
- [x] Loads POLYMARKET_API_KEY from environment
- [x] Implements get_markets() returning all active markets
- [x] Implements get_market(market_id) returning market details
- [x] Implements get_orderbook(market_id) returning current book
- [x] Rate limiting: max 10 requests/second with automatic throttling
- [x] Retry logic: 3 retries with exponential backoff on errors
- [x] Unit tests with mocked responses
- [x] Type hints for all public methods
Closes#2🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add pyproject.toml with core and dev dependencies
- Configure Ruff for linting and formatting
- Configure MyPy for strict type checking
- Configure pytest with asyncio support
- Create src/polymarket_insider_tracker package structure
- Add py.typed marker for PEP 561 compliance
- Add pre-commit hooks configuration
- Add comprehensive .gitignore
- Create test directory structure with basic tests
Closes#25🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
