fix(critical): complete execution pipeline - all blockers fixed and operational
This commit is contained in:
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docs/IMPLEMENTATION_GUIDE_L2_OPTIMIZATIONS.md
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docs/IMPLEMENTATION_GUIDE_L2_OPTIMIZATIONS.md
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# Layer 2 Optimizations Implementation Guide
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**Created:** 2025-11-01
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**Status:** Ready for Phase 1
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**Risk Level:** Low (All changes are non-breaking)
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---
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## Overview
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This guide provides step-by-step instructions for implementing Arbitrum-specific optimizations based on our comprehensive Layer 2 research. All changes are **non-breaking** and can be rolled back if needed.
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---
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## Quick Start
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### Step 1: Review Research
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Read: `docs/L2_MEV_BOT_RESEARCH_REPORT.md`
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- Validates our current implementation ✅
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- Identifies non-breaking improvements 🟡
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- Provides competitive analysis 📊
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### Step 2: Test Configuration
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```bash
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# Backup current config
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cp config/arbitrum_production.yaml config/arbitrum_production.yaml.backup
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# Test merge optimized config (dry run)
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./scripts/validate-l2-config.sh --dry-run
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# Apply Phase 1 optimizations
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./scripts/apply-l2-optimizations.sh --phase 1
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```
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### Step 3: Monitor Results
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```bash
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# Watch live with L2-specific metrics
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./scripts/watch-l2-metrics.sh
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# Compare with baseline
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./scripts/compare-performance.sh --baseline before --current after
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```
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---
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## Phase-by-Phase Implementation
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### Phase 1: Configuration Tuning (Week 1)
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**Effort:** 1-2 hours | **Risk:** Low | **Reversible:** Yes
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#### What's Changing
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- `opportunity_ttl`: 30s → 5s (tuned for 250ms blocks)
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- `max_path_age`: 60s → 10s (tuned for 250ms blocks)
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- Add `execution_deadline`: 3s (new parameter)
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#### Implementation Steps
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**1. Enable Phase 1 in config:**
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```yaml
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# config/arbitrum_production.yaml
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# Add at the end of the file:
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# ===== LAYER 2 OPTIMIZATIONS (Phase 1) =====
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features:
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use_arbitrum_optimized_timeouts: true
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use_dynamic_ttl: false # Start with static, enable later
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arbitrage_optimized:
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opportunity_ttl: "5s" # 20 blocks @ 250ms
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max_path_age: "10s" # 40 blocks @ 250ms
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execution_deadline: "3s" # 12 blocks @ 250ms
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# Backward compatibility
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legacy_opportunity_ttl: "30s" # For rollback
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legacy_max_path_age: "60s" # For rollback
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```
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**2. Update code to read new config:**
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```go
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// internal/config/config.go
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type ArbitrageOptimized struct {
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OpportunityTTL time.Duration `yaml:"opportunity_ttl"`
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MaxPathAge time.Duration `yaml:"max_path_age"`
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ExecutionDeadline time.Duration `yaml:"execution_deadline"`
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// Legacy values for rollback
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LegacyOpportunityTTL time.Duration `yaml:"legacy_opportunity_ttl"`
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LegacyMaxPathAge time.Duration `yaml:"legacy_max_path_age"`
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}
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type Features struct {
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UseArbitrumOptimizedTimeouts bool `yaml:"use_arbitrum_optimized_timeouts"`
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UseDynamicTTL bool `yaml:"use_dynamic_ttl"`
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}
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// In Config struct
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type Config struct {
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// ... existing fields ...
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Features Features `yaml:"features"`
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ArbitrageOptimized ArbitrageOptimized `yaml:"arbitrage_optimized"`
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}
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// Helper to get active TTL
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func (c *Config) GetOpportunityTTL() time.Duration {
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if c.Features.UseArbitrumOptimizedTimeouts {
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return c.ArbitrageOptimized.OpportunityTTL
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}
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return c.Arbitrage.OpportunityTTL // Legacy
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}
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```
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**3. Update arbitrage service:**
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```go
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// pkg/arbitrage/service.go
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func (s *ArbitrageService) isOpportunityValid(opp *types.ArbitrageOpportunity) bool {
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// Use configurable TTL
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ttl := s.config.GetOpportunityTTL()
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age := time.Since(opp.Timestamp)
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if age > ttl {
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s.logger.Debug(fmt.Sprintf(
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"Opportunity expired: age=%s, ttl=%s",
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age, ttl,
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))
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return false
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}
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return true
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}
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```
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**4. Test Phase 1:**
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```bash
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# Start bot with Phase 1 config
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PROVIDER_CONFIG_PATH=$PWD/config/providers_runtime.yaml timeout 60 ./mev-bot start
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# Monitor logs for:
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# - Opportunities detected
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# - Opportunities expired (should see more due to shorter TTL)
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# - Execution attempts
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# - Success rate
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```
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**5. Validate Results:**
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```bash
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# After 1 hour, compare metrics
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./scripts/analyze-l2-phase1.sh
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# Check for:
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# - Reduced stale opportunity execution ✅
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# - Similar or better success rate ✅
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# - No increase in errors ✅
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```
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**6. Rollback if Needed:**
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```yaml
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# Set in config/arbitrum_production.yaml
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features:
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use_arbitrum_optimized_timeouts: false # Back to legacy
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```
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---
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### Phase 2: Transaction Pre-filtering (Week 2)
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**Effort:** 4-6 hours | **Risk:** Medium | **Reversible:** Yes
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#### What's Changing
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- Filter non-DEX transactions at monitor level
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- Expected 80-90% reduction in processed transactions
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- Improved latency and reduced CPU usage
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#### Implementation Steps
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**1. Create DEX filter module:**
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```go
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// pkg/monitor/dex_filter.go
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package monitor
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import (
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"encoding/hex"
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"sync"
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"github.com/ethereum/go-ethereum/common"
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"github.com/ethereum/go-ethereum/core/types"
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)
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type DEXFilter struct {
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knownDEXAddresses map[common.Address]bool
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swapSignatures map[string]bool
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mu sync.RWMutex
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// Statistics
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totalTx uint64
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filteredTx uint64
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passedTx uint64
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}
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func NewDEXFilter(dexAddresses []common.Address, swapSigs []string) *DEXFilter {
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filter := &DEXFilter{
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knownDEXAddresses: make(map[common.Address]bool),
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swapSignatures: make(map[string]bool),
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}
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// Build lookup maps
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for _, addr := range dexAddresses {
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filter.knownDEXAddresses[addr] = true
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}
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for _, sig := range swapSigs {
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filter.swapSignatures[sig] = true
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}
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return filter
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}
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func (f *DEXFilter) ShouldProcess(tx *types.Transaction) bool {
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f.mu.Lock()
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f.totalTx++
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f.mu.Unlock()
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// Must have a recipient
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if tx.To() == nil {
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f.incrementFiltered()
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return false
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}
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// Check if recipient is known DEX
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if f.knownDEXAddresses[*tx.To()] {
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f.incrementPassed()
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return true
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}
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// Check function signature
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if len(tx.Data()) >= 4 {
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sig := hex.EncodeToString(tx.Data()[:4])
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if f.swapSignatures[sig] {
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f.incrementPassed()
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return true
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}
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}
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f.incrementFiltered()
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return false
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}
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func (f *DEXFilter) GetStats() (total, filtered, passed uint64) {
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f.mu.RLock()
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defer f.mu.RUnlock()
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return f.totalTx, f.filteredTx, f.passedTx
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}
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func (f *DEXFilter) incrementFiltered() {
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f.mu.Lock()
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f.filteredTx++
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f.mu.Unlock()
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}
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func (f *DEXFilter) incrementPassed() {
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f.mu.Lock()
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f.passedTx++
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f.mu.Unlock()
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}
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```
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**2. Integrate into monitor:**
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```go
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// pkg/monitor/concurrent.go
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type ArbitrumMonitor struct {
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// ... existing fields ...
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dexFilter *DEXFilter
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filterEnabled bool
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}
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func (m *ArbitrumMonitor) processTransaction(tx *types.Transaction) {
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// Apply filter if enabled
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if m.filterEnabled && !m.dexFilter.ShouldProcess(tx) {
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// Log occasionally (1% sample rate)
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if rand.Float64() < 0.01 {
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m.logger.Debug(fmt.Sprintf(
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"Filtered non-DEX tx: %s to %s",
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tx.Hash().Hex()[:10],
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tx.To().Hex()[:10],
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))
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}
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return
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}
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// Process as normal
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m.processSwapTransaction(tx)
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}
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// Periodic stats logging
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func (m *ArbitrumMonitor) logFilterStats() {
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total, filtered, passed := m.dexFilter.GetStats()
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filterRate := float64(filtered) / float64(total) * 100
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m.logger.Info(fmt.Sprintf(
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"DEX Filter Stats: total=%d, passed=%d (%.1f%%), filtered=%d (%.1f%%)",
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total, passed, 100-filterRate, filtered, filterRate,
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))
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}
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```
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**3. Enable Phase 2:**
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```yaml
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# config/arbitrum_production.yaml
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features:
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enable_dex_prefilter: true # Enable filtering
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log_filtered_transactions: true # Log for monitoring
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dex_filter:
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enabled: true
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filter_mode: "whitelist"
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log_filtered: true
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filtered_log_sample_rate: 0.01 # Log 1%
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```
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**4. Test and Monitor:**
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```bash
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# Start with filtering enabled
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PROVIDER_CONFIG_PATH=$PWD/config/providers_runtime.yaml timeout 60 ./mev-bot start
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# Watch filter statistics
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tail -f logs/mev_bot.log | grep "DEX Filter Stats"
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# Should see ~80-90% filtering rate
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# Example: filtered=890, passed=110 (11%)
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```
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**5. Validate No Missed Opportunities:**
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```bash
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# Check that we're not filtering profitable transactions
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./scripts/validate-filter-accuracy.sh
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# Reviews:
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# - Opportunities before filtering: X
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# - Opportunities after filtering: Y
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# - Difference should be <1%
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```
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---
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### Phase 3: Sequencer Feed (Week 3)
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**Effort:** 8-12 hours | **Risk:** Medium | **Reversible:** Yes
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#### Status
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⏸️ **Defer to Phase 3** - Requires more extensive testing
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#### Reason
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- Direct sequencer feed monitoring requires careful testing
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- Risk of connection issues impacting operations
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- Phase 1 & 2 provide significant improvements already
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#### Future Implementation
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When ready for Phase 3, see `docs/L2_MEV_BOT_RESEARCH_REPORT.md` Section 3.2 for detailed implementation plan.
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---
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### Phase 4-5: Timeboost (Month 2+)
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**Effort:** 16-24 hours | **Risk:** High | **Reversible:** Partial
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#### Status
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🔮 **Future Feature** - Only if competition demands
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#### Decision Criteria
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Implement Timeboost if:
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1. ✅ Phases 1-2 deployed successfully
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2. ✅ Consistently profitable for >1 month
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3. ✅ Evidence of opportunities being sniped by express lane users
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4. ✅ Average opportunity profit >$100
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5. ✅ Sufficient capital for express lane bidding ($1000+ reserved)
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#### Implementation
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See `docs/L2_MEV_BOT_RESEARCH_REPORT.md` Section 3.1 for complete Timeboost integration guide.
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---
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## Testing Checklist
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### Pre-Deployment Tests
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- [ ] Config validates without errors
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- [ ] All DEX addresses are correct
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- [ ] Swap signatures are complete
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- [ ] Backward compatibility config present
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- [ ] Rollback procedure tested
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### Phase 1 Tests
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- [ ] Opportunities expire faster (5s vs 30s)
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- [ ] No increase in error rate
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- [ ] Similar or better success rate
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- [ ] Reduced stale opportunity execution
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- [ ] System remains stable
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### Phase 2 Tests
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- [ ] 80-90% transaction filtering rate
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- [ ] No missed DEX transactions
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- [ ] Reduced CPU usage
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- [ ] Improved latency
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- [ ] Filter stats logging works
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- [ ] Sample logging at correct rate (1%)
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### Performance Tests
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- [ ] Load test with 1000+ tx/sec
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- [ ] Memory usage stable
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- [ ] No goroutine leaks
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- [ ] Latency within targets (<200ms)
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- [ ] Success rate maintained or improved
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---
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## Monitoring & Metrics
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### Key Metrics to Track
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**Phase 1 (Timing):**
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- Opportunity TTL hits (count)
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- Average opportunity age at execution
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- Stale opportunity rejections
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- Execution success rate
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**Phase 2 (Filtering):**
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- Total transactions processed
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- Transactions filtered (%)
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- Transactions passed (%)
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- CPU usage (before/after)
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- Memory usage (before/after)
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- Average detection latency
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**Comparative:**
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- Opportunities detected (before/after)
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- Opportunities executed (before/after)
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- Total profit (before/after)
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- Success rate (before/after)
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### Monitoring Commands
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```bash
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# Real-time L2-specific monitoring
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./scripts/watch-l2-metrics.sh
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|
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# Generate performance report
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./scripts/generate-l2-report.sh --period 24h
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|
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# Compare with baseline
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./scripts/compare-performance.sh \
|
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--baseline logs/baseline_metrics.json \
|
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--current logs/current_metrics.json
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```
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---
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## Rollback Procedures
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### Emergency Rollback (Immediate)
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If critical issues detected:
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```bash
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# Stop bot
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pkill mev-bot
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||||
# Restore backup config
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cp config/arbitrum_production.yaml.backup config/arbitrum_production.yaml
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# Restart
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PROVIDER_CONFIG_PATH=$PWD/config/providers_runtime.yaml ./mev-bot start
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```
|
||||
|
||||
### Feature-Specific Rollback
|
||||
|
||||
**Phase 1:**
|
||||
```yaml
|
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features:
|
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use_arbitrum_optimized_timeouts: false
|
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```
|
||||
|
||||
**Phase 2:**
|
||||
```yaml
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||||
features:
|
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enable_dex_prefilter: false
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```
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||||
|
||||
### Automatic Rollback
|
||||
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||||
The system includes automatic rollback on high failure rate:
|
||||
|
||||
```yaml
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legacy_config:
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auto_rollback_on_failure: true
|
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rollback_threshold_failures: 10 # After 10 consecutive failures
|
||||
```
|
||||
|
||||
---
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||||
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||||
## Success Criteria
|
||||
|
||||
### Phase 1 Success
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- ✅ Reduced stale opportunity execution by >50%
|
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- ✅ Maintained or improved success rate
|
||||
- ✅ No increase in error rate
|
||||
- ✅ System stability maintained
|
||||
|
||||
### Phase 2 Success
|
||||
- ✅ 80-90% transaction filtering achieved
|
||||
- ✅ <1% missed DEX transactions
|
||||
- ✅ >30% reduction in CPU usage
|
||||
- ✅ >20% improvement in detection latency
|
||||
- ✅ No degradation in opportunity detection
|
||||
|
||||
### Overall Success
|
||||
- ✅ Maintained profitability
|
||||
- ✅ Improved competitive position
|
||||
- ✅ Reduced resource usage
|
||||
- ✅ Better alignment with L2 characteristics
|
||||
- ✅ No breaking changes or downtime
|
||||
|
||||
---
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Issue: Increased Opportunity Expiration
|
||||
**Symptom:** Many opportunities expiring before execution
|
||||
**Cause:** TTL too short (5s might be aggressive)
|
||||
**Fix:**
|
||||
```yaml
|
||||
arbitrage_optimized:
|
||||
opportunity_ttl: "7s" # Increase to 7s (28 blocks)
|
||||
```
|
||||
|
||||
### Issue: Filter Missing Opportunities
|
||||
**Symptom:** Fewer opportunities detected with filter enabled
|
||||
**Fix:**
|
||||
1. Check filtered transaction logs
|
||||
2. Identify missed DEX addresses or signatures
|
||||
3. Add to filter configuration
|
||||
4. Redeploy
|
||||
|
||||
### Issue: High CPU Usage with Filter
|
||||
**Symptom:** CPU usage higher than expected
|
||||
**Cause:** Inefficient filter lookups
|
||||
**Fix:**
|
||||
```yaml
|
||||
dex_filter:
|
||||
cache_lookups: true
|
||||
cache_ttl: "5m"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Next Steps After Deployment
|
||||
|
||||
1. **Week 1:** Deploy Phase 1, monitor for 7 days
|
||||
2. **Week 2:** If Phase 1 successful, deploy Phase 2
|
||||
3. **Week 3:** Monitor combined Phase 1+2 performance
|
||||
4. **Week 4:** Gather data for Phase 3 decision
|
||||
5. **Month 2+:** Evaluate Timeboost based on competition
|
||||
|
||||
---
|
||||
|
||||
## Support & Documentation
|
||||
|
||||
- **Research Report:** `docs/L2_MEV_BOT_RESEARCH_REPORT.md`
|
||||
- **Configuration:** `config/arbitrum_optimized.yaml`
|
||||
- **Scripts:** `scripts/l2-*.sh`
|
||||
- **Monitoring:** `scripts/watch-l2-metrics.sh`
|
||||
|
||||
---
|
||||
|
||||
**Status:** ✅ Ready for Phase 1 Deployment
|
||||
**Risk Level:** 🟢 Low (Non-Breaking Changes)
|
||||
**Estimated Impact:** 📈 20-30% Performance Improvement
|
||||
Reference in New Issue
Block a user