Autonomous MEV Optimization Engine with Real-Time AI Trading, Arbitrage, and Flashloan Execution

Job ID: 39611483

Budget: €1,500 – €3,000 EUR

1. System Architecture & Infrastructure
• Self-hosted Ethereum node with full mempool access (Erigon or Nethermind)
• Flashbots Protect RPC integration
• Support for private MEV relays (bloXroute, Eden Network)
• Ultra-low-latency server setup (e.g. Latency.LOL or Hetzner Bare Metal)
• Optional validator compatibility via mev-boost (for own validator/relay bundling)
• High-speed networking stack with pre-queued and pre-signed transaction bundling



2. Core Functional Modules

Sniper Module
• Real-time mempool monitoring for PairCreated, AddLiquidity, Sync events
• AI-based gas optimization
• Execution via Flashbots stealth bundling
• Honeypot/rugpull detection and pre-execution simulation
• Pre-signed transactions with nonce handling



DEX Arbitrage Engine
• Real-time price comparison across at least 3 DEXs: Uniswap (V2/V3), Sushiswap, Curve, Balancer
• Net profit calculation (after gas and slippage)
• Atomic swaps using router.swap() or multicall
• Revert if trade is not profitable
• Logs and tracks success rate per DEX pair



Triangular Arbitrage Module
• Automated generation of 3-token trading routes (e.g. ETH → USDC → DAI → ETH)
• Execution using multicall in a single atomic transaction
• Net profit scoring per route
• AI-assisted route prioritization based on historical success and profit



Flashloan Module
• Integration with Aave V2/V3 or DyDx
• Trigger only if trade is guaranteed profitable
• Atomic execution with full fallback (reverts on loss)
• Can be bundled within sniper or arbitrage logic



3. AI & Self-Learning Engine
• Reinforcement learning model that improves over time based on trade outcome (reward/penalty logic)
• Gas fee prediction using machine learning models (e.g., XGBoost or TensorFlow)
• Strategy optimizer that selects sniper, arbitrage, or flashloan dynamically based on real-time success ratios
• Token and pool risk scoring (honeypot detection, liquidity scoring)
• “Stateful memory” system that stores trade history and improves future decision making
• Prompt-to-strategy input: user can control strategic focus via natural-language instructions



4. Auto-Compound System
• Full reinvestment of profits into future trades
• Automatic rebalancing between strategies (sniper / arbitrage / flashloan)
• Gas buffer reserve management
• Dynamic compound scaling (linear or exponential curve)
• Runs 100% autonomously without user intervention



5. Simulation & Risk Protection
• Pre-execution simulation using Anvil, Foundry, Tenderly, or forked EVM
• Slippage limit enforcement
• Token safety analysis (rugpull/honeypot detection, LP verification)
• Transaction fallback system if route becomes invalid
• Failsafe watchdog module:
• Pauses bot after X consecutive failed trades
• Alerts on gas spikes, API failures, or chain errors



6. Monitoring, Interface & Logging
• CLI or Web Dashboard with:
• Live profit tracking
• Compound growth visualization
• Gas usage and success ratio monitoring
• Webhooks or Discord alerts for:
• High-value trade opportunities
• Errors, failures, or gas anomalies
• Exportable trade logs (CSV / JSON)



7. Optional / Future-Ready Extensions
• Cross-chain arbitrage (Ethereum ↔ Arbitrum ↔ Optimism ↔ Base)
• Bridge MEV opportunities (Hop, Stargate, Synapse)
• NFT mint sniping module with gas-prioritized launch scanning
• MEV sandwiching or backrunning (optional and ethically considered)
• Integration with exclusive relay partners (Titan, Manifold, Beaverbuild)
• Encrypted MEV-share bundle delivery for stealth mode



8. Machine Learning Add-ons (Production-Grade AI)
• Persistent dataset logging (Parquet, CSV)
• Versioned model storage and switching (with rollback on underperformance)
• Scheduled model retraining (daily/weekly retraining job)
• Shadow testing for new model versions before deployment
• Feature ablation tracking to optimize inputs