refactor: move all remaining files to orig/ directory

Completed clean root directory structure:
- Root now contains only: .git, .env, docs/, orig/
- Moved all remaining files and directories to orig/:
  - Config files (.claude, .dockerignore, .drone.yml, etc.)
  - All .env variants (except active .env)
  - Git config (.gitconfig, .github, .gitignore, etc.)
  - Tool configs (.golangci.yml, .revive.toml, etc.)
  - Documentation (*.md files, @prompts)
  - Build files (Dockerfiles, Makefile, go.mod, go.sum)
  - Docker compose files
  - All source directories (scripts, tests, tools, etc.)
  - Runtime directories (logs, monitoring, reports)
  - Dependency files (node_modules, lib, cache)
  - Special files (--delete)

- Removed empty runtime directories (bin/, data/)

V2 structure is now clean:
- docs/planning/ - V2 planning documents
- orig/ - Complete V1 codebase preserved
- .env - Active environment config (not in git)

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

Co-Authored-By: Claude <noreply@anthropic.com>

orig/.claude/commands/optimize-performance.md

@@ -0,0 +1,84 @@
+# Optimize Performance
+
+Optimize the performance of the MEV bot in the following area: $ARGUMENTS
+
+## Performance Optimization Strategy:
+
+### 1. **Profiling and Measurement**
+```bash
+# CPU profiling
+go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
+
+# Memory profiling
+go tool pprof http://localhost:9090/debug/pprof/heap
+
+# Trace analysis
+go tool trace trace.out
+
+# Benchmark testing
+go test -bench=. -benchmem ./...
+```
+
+### 2. **Optimization Areas**
+
+#### **Concurrency Optimization**
+- Worker pool sizing and configuration
+- Channel buffer optimization
+- Goroutine pooling and reuse
+- Lock contention reduction
+- Context cancellation patterns
+
+#### **Memory Optimization**
+- Object pooling for frequent allocations
+- Buffer reuse patterns
+- Garbage collection tuning
+- Memory leak prevention
+- Slice and map pre-allocation
+
+#### **I/O Optimization**
+- Connection pooling for RPC calls
+- Request batching and pipelining
+- Caching frequently accessed data
+- Asynchronous processing patterns
+- Rate limiting optimization
+
+#### **Algorithm Optimization**
+- Uniswap math calculation efficiency
+- Event parsing performance
+- Data structure selection
+- Caching strategies
+- Indexing improvements
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Transaction Processing Pipeline**
+- Parallel transaction processing
+- Event filtering optimization
+- Batch processing strategies
+- Pipeline stage optimization
+
+#### **Market Analysis**
+- Price calculation caching
+- Pool data caching
+- Historical data indexing
+- Real-time processing optimization
+
+#### **Arbitrage Detection**
+- Opportunity scanning efficiency
+- Profit calculation optimization
+- Market impact analysis speed
+- Cross-DEX comparison performance
+
+## Implementation Guidelines:
+- Measure before optimizing (baseline metrics)
+- Focus on bottlenecks identified through profiling
+- Maintain code readability and maintainability
+- Add performance tests for regressions
+- Document performance characteristics
+
+## Deliverables:
+- Performance benchmark results (before/after)
+- Optimized code with maintained functionality
+- Performance monitoring enhancements
+- Optimization documentation
+- Regression test suite