850223a953
- Added comprehensive bounds checking to prevent buffer overruns in multicall parsing - Implemented graduated validation system (Strict/Moderate/Permissive) to reduce false positives - Added LRU caching system for address validation with 10-minute TTL - Enhanced ABI decoder with missing Universal Router and Arbitrum-specific DEX signatures - Fixed duplicate function declarations and import conflicts across multiple files - Added error recovery mechanisms with multiple fallback strategies - Updated tests to handle new validation behavior for suspicious addresses - Fixed parser test expectations for improved validation system - Applied gofmt formatting fixes to ensure code style compliance - Fixed mutex copying issues in monitoring package by introducing MetricsSnapshot - Resolved critical security vulnerabilities in heuristic address extraction - Progress: Updated TODO audit from 10% to 35% complete 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
103 lines
3.0 KiB
Markdown
103 lines
3.0 KiB
Markdown
# DEX Aggregator Integration Plan
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## Overview
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This document outlines the implementation plan for integrating with DEX aggregators in the MEV bot. DEX aggregators source liquidity from multiple exchanges to provide better prices and lower slippage.
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## Major DEX Aggregators
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### 1inch
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- Contract: `0x1111111254fb6c44bAC0beD2854e76F90643097d` (mainnet)
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- Features: Multi-chain support, gas estimation, complex routing
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### ParaSwap
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- Contract: `0xDEF171Fe48CF0115B1d80b88dc8eAB59176FEe57`
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- Features: Open-source API, multiple DEX support, price optimization
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### Matcha (0x)
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- Contract: Various proxy contracts
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- Features: Multi-DEX integration, API support, MEV protection
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### OpenOcean
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- Features: Cross-chain aggregation, gasless swaps
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- Contract: Multiple chain-specific contracts
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## Core Functions
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### Swap Functions
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- `swap` (executing trades)
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- `unoswap` (1inch specific)
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- `multiswap` (multi-hop routing)
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- `buy` (for reverse trades)
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### Quote Functions
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- `getRate` (price estimation)
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- `getAmountsOut` (with multi-DEX routing)
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- `getSwapCalldata` (for simulation)
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### Aggregation Functions
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- Route optimization across multiple DEXs
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- Gas cost comparison
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- Price impact minimization
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## Implementation Steps
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1. Create Aggregator struct implementing the Exchange interface
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2. Implement 1inch aggregation functionality
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3. Add ParaSwap integration
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4. Integrate Matcha/0x
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5. Add OpenOcean support
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6. Implement routing optimization algorithm
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7. Create gas estimation functions
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8. Add multi-chain support
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## Pricing Mechanisms
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### Multi-DEX Routing
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- Compare prices across multiple exchanges
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- Consider gas costs in profitability
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- Account for slippage across different platforms
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- Optimize route based on total cost (swap + gas)
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### Aggregation-Specific Considerations
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- Split trades across multiple DEXs to reduce slippage
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- Consider front-running protection
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- Account for different fee structures
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- Evaluate MEV protection mechanisms
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## Testing Plan
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1. Unit tests for each aggregator integration
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2. Price comparison accuracy testing
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3. Route optimization verification
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4. Gas estimation accuracy testing
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5. Multi-hop trade execution testing
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6. Edge case testing (large trades, multiple splits)
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7. Cross-chain functionality testing
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8. Performance comparison with direct DEX swaps
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## Performance Considerations
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- Optimize for lowest possible slippage
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- Minimize gas costs across all operations
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- Efficient routing algorithms
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- Cache commonly used routes
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- Batch operations where possible
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- Consider transaction complexity limits
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## Security Considerations
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- Validate aggregator contract addresses
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- Implement proper slippage protection
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- Verify routing safety
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- Consider MEV risks in aggregation
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- Sanitize data from multiple DEX sources
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## Integration with MEV Bot
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- Compare aggregator routes with direct swaps
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- Include gas costs in profitability calculations
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- Monitor aggregator-specific MEV opportunities
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- Track split trades as potential MEV targets
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- Consider front-running protection for aggregated trades
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- Optimize for different trade sizes and market conditions |