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mev-beta/docs/master-plan/01-overview.md
Krypto Kajun 850223a953 fix(multicall): resolve critical multicall parsing corruption issues
- 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

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Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-17 00:12:55 -05:00

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MEV Bot Master Plan - Exchange Integration

Project Overview

This document outlines the master plan for implementing exchange-specific helper/util/lib modules for the MEV bot. Each exchange will have its own set of functionality covering swaps, liquidity operations, and pricing mechanisms.

Objectives

  • Create exchange-specific helper libraries
  • Implement swap functionality for each exchange
  • Implement add/remove liquidity operations
  • Implement pricing mechanisms
  • Ensure consistent interfaces across exchanges

Supported Exchanges

  1. Uniswap V2/V3/V4
  2. SushiSwap
  3. Curve
  4. Balancer
  5. PancakeSwap
  6. Kyber (Elastic)
  7. Camelot
  8. Trader Joe
  9. Ramses
  10. Other DEX aggregators (1inch, ParaSwap, etc.)

Core Components

Each exchange module will contain:

  • Swap Operations: Functions to execute token swaps
  • Liquidity Operations: Functions to add/remove liquidity from pools
  • Pricing Functions: Functions to calculate prices and slippage
  • Pool Management: Functions to interact with liquidity pools
  • Arbitrage Detection: Functions to identify profitable opportunities

Implementation Strategy

  1. Define common interfaces
  2. Implement exchange-specific modules
  3. Create unified abstraction layer
  4. Test functionality with real data
  5. Integrate with main bot logic

Success Metrics

  • Consistent API across all exchange modules
  • Performance benchmarks met
  • Successful execution of swaps and liquidity operations
  • Accurate pricing calculations