- Multi-Timeframe Price Tracking System section (Nov 19, 2025)
- Purpose and architecture overview
- BlockedSignalTracker background job details
- Database schema with price tracking fields
- API endpoints and integration points
- How it works (step-by-step flow)
- Analysis queries for cross-timeframe comparison
- Decision-making criteria for timeframe optimization
- Current status: 2 signals tracked, pending 4H/Daily alerts
- Docker Maintenance section (Item #13 in When Making Changes)
- Cleanup commands: image prune, builder prune, volume prune
- When to run: After builds, weekly, on disk warnings
- Space savings: 2-5GB images, 40-50GB cache, 0.5-1GB volumes
- Safety guidelines: What to delete vs keep
- Why critical: Prevent disk full from build cache accumulation
User requested: 'document in the copilot instructions with the latest updates'
Both sections provide complete reference for future AI agents
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