mev-beta/.claude/commands/optimize-math.md

Optimize Mathematical Performance

Optimize the performance of the following mathematical function in the MEV bot: $ARGUMENTS

Performance Optimization Strategy:

1. Profiling and Measurement

# 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
• Efficient conversion between data types

Algorithm Optimization

• Mathematical formula simplification
• Lookup table implementation for repeated calculations
• Caching strategies for expensive computations
• Parallel processing opportunities

Memory Optimization

• Pre-allocation of slices and buffers
• Object pooling for mathematical objects
• Minimize garbage collection pressure
• 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

Deliverables:

• Performance benchmark results (before/after)
• Optimized code with maintained precision
• Performance monitoring enhancements
• Optimization documentation
• Regression test suite