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/.qwen/commands/optimize-math.toml

@@ -0,0 +1,76 @@
+name = "optimize-math"
+description = "Optimize Mathematical Performance - Optimize the performance of mathematical functions in the MEV bot"
+category = "optimization"
+parameters = [
+  { name = "function", type = "string", description = "The mathematical function to optimize" }
+]
+
+[command]
+shell = '''
+echo "# Optimize Mathematical Performance
+
+Optimize the performance of the following mathematical function in the MEV bot: ${function}
+
+## Performance Optimization Strategy:
+
+### 1. **Profiling and Measurement**
+```bash
+# CPU profiling for mathematical functions
+go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
+
+# Memory profiling for mathematical calculations
+go tool pprof http://localhost:9090/debug/pprof/heap
+
+# Benchmark testing for mathematical functions
+go test -bench=. -benchmem ./pkg/uniswap/...
+```
+
+### 2. **Optimization Areas**
+
+#### **Precision Handling Optimization**
+- Uint256 arithmetic optimization
+- Object pooling for frequent calculations
+- Minimize memory allocations in hot paths (Target: 20-33% reduction like in successful implementations)
+- Efficient conversion between data types
+
+#### **Algorithm Optimization**
+- Mathematical formula simplification
+- Lookup table implementation for repeated calculations
+- Caching strategies for expensive computations (Reference: SqrtPriceX96ToPriceCached achieved 24% performance improvement)
+- Parallel processing opportunities
+
+#### **Memory Optimization**
+- Pre-allocation of slices and buffers
+- Object pooling for mathematical objects
+- Minimize garbage collection pressure (Target: 20-33% reduction like in successful implementations)
+- Efficient data structure selection
+
+### 3. **MEV Bot Specific Optimizations**
+
+#### **Uniswap V3 Pricing Functions**
+- sqrtPriceX96 to price conversion optimization
+- Tick calculation performance improvements
+- Liquidity-based calculation efficiency
+- Price impact computation optimization
+
+#### **Arbitrage Calculations**
+- Profit calculation optimization
+- Cross-pool comparison performance
+- Gas estimation accuracy and speed
+- Multi-hop arbitrage efficiency
+
+## Implementation Guidelines:
+- Measure before optimizing (baseline metrics)
+- Focus on bottlenecks identified through profiling
+- Maintain mathematical precision while improving performance
+- Add performance tests for regressions
+- Document optimization strategies and results
+- Consider caching strategies for expensive computations (Reference: Precomputing expensive constants like `2^96`, `2^192` achieved 19-24% performance improvements)
+
+## Deliverables:
+- Performance benchmark results (before/after) - Reference: SqrtPriceX96ToPriceCached: 1406 ns/op → 1060 ns/op (24% faster)
+- Optimized code with maintained precision
+- Performance monitoring enhancements
+- Optimization documentation
+- Regression test suite"
+'''