# Performance Tuning Guide

## Overview

This guide covers optimization strategies for improving gas efficiency and execution speed.

## Gas Optimization

### 1. Batch Size Optimization

**Problem**: Large batches consume more gas

**Solution**:
- Optimize batch sizes (typically 5-10 calls)
- Split very large strategies into multiple transactions
- Use flash loans to reduce intermediate steps

### 2. Call Optimization

**Problem**: Redundant or inefficient calls

**Solution**:
- Combine similar operations
- Remove unnecessary calls
- Use protocol-specific batch functions (e.g., Balancer batchSwap)

### 3. Storage Optimization

**Problem**: Excessive storage operations

**Solution**:
- Minimize state changes
- Use events instead of storage where possible
- Cache values when appropriate

## RPC Optimization

### 1. Connection Pooling

**Problem**: Slow RPC responses

**Solution**:
- Use multiple RPC providers
- Implement connection pooling
- Cache non-critical data

### 2. Batch RPC Calls

**Problem**: Multiple sequential RPC calls

**Solution**:
- Use `eth_call` batch requests
- Parallelize independent calls
- Cache results with TTL

### 3. Provider Selection

**Problem**: Single point of failure

**Solution**:
- Use multiple providers
- Implement failover logic
- Monitor provider health

## Caching Strategy

### 1. Price Data Caching

```typescript
// Cache prices with 60s TTL
const priceCache = new Map<string, { price: bigint; timestamp: number }>();

async function getCachedPrice(token: string): Promise<bigint> {
  const cached = priceCache.get(token);
  if (cached && Date.now() - cached.timestamp < 60000) {
    return cached.price;
  }
  const price = await fetchPrice(token);
  priceCache.set(token, { price, timestamp: Date.now() });
  return price;
}
```

### 2. Address Caching

```typescript
// Cache protocol addresses (rarely change)
const addressCache = new Map<string, string>();
```

### 3. Gas Estimate Caching

```typescript
// Cache gas estimates with short TTL (10s)
const gasCache = new Map<string, { estimate: bigint; timestamp: number }>();
```

## Strategy Optimization

### 1. Reduce Steps

**Problem**: Too many steps increase gas

**Solution**:
- Combine operations where possible
- Use protocol batch functions
- Eliminate unnecessary steps

### 2. Optimize Flash Loans

**Problem**: Flash loan overhead

**Solution**:
- Only use flash loans when necessary
- Minimize operations in callback
- Optimize repayment logic

### 3. Guard Optimization

**Problem**: Expensive guard evaluations

**Solution**:
- Cache guard results when possible
- Use cheaper guards first
- Skip guards for trusted strategies

## Monitoring Performance

### Metrics to Track

1. **Gas Usage**: Average gas per execution
2. **Execution Time**: Time to complete strategy
3. **RPC Latency**: Response times
4. **Cache Hit Rate**: Caching effectiveness
5. **Success Rate**: Execution success percentage

### Tools

- Gas tracker dashboard
- RPC latency monitoring
- Cache hit rate tracking
- Performance profiling

## Best Practices

1. **Profile First**: Measure before optimizing
2. **Optimize Hot Paths**: Focus on frequently used code
3. **Test Changes**: Verify optimizations don't break functionality
4. **Monitor Impact**: Track improvements
5. **Document Changes**: Keep optimization notes

## Common Optimizations

### Before
```typescript
// Multiple sequential calls
const price1 = await oracle.getPrice(token1);
const price2 = await oracle.getPrice(token2);
const price3 = await oracle.getPrice(token3);
```

### After
```typescript
// Parallel calls
const [price1, price2, price3] = await Promise.all([
  oracle.getPrice(token1),
  oracle.getPrice(token2),
  oracle.getPrice(token3),
]);
```

## Performance Checklist

- [ ] Optimize batch sizes
- [ ] Implement caching
- [ ] Use connection pooling
- [ ] Parallelize independent calls
- [ ] Monitor gas usage
- [ ] Profile execution time
- [ ] Optimize hot paths
- [ ] Document optimizations