Enthusiast Path

Basic Strategy Implementation

Learn to implement fundamental MEV strategies including arbitrage, liquidation, and sandwich attacks with hands-on examples

Duration: 8 hours
Level: Beginner-Intermediate
Price: Free
Certificate: Available

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Learning Objectives

By the end of this course, you will be able to:

  • Implement basic arbitrage strategies across DEX platforms
  • Set up liquidation monitoring and execution systems
  • Understand slippage calculations and gas optimization
  • Build simple sandwich attack detection systems
  • Test and validate MEV strategies using historical data
  • Deploy basic MEV bots on Ethereum testnet

Course Modules

1

Arbitrage Strategy Fundamentals

Understanding price discrepancies and execution planning

90 min
Start
2

Liquidation Detection Systems

Monitoring health factors and identifying liquidatable positions

75 min
Start
3

Gas Optimization Techniques

Minimizing transaction costs and improving profitability

60 min
Start
4

Slippage and Price Impact

Calculating and managing execution risks

80 min
Start
5

Basic Sandwich Attack Implementation

Identifying and exploiting MEV opportunities

95 min
Start
6

Strategy Testing & Validation

Backtesting and paper trading techniques

100 min
Start

Interactive Strategy Examples

💰 Arbitrage Calculator

Calculate potential profits from price discrepancies across DEXs

Uniswap Price
$2,350.00
SushiSwap Price
$2,367.50
Potential Profit
$17.50

🔍 Liquidation Monitor

Real-time monitoring of potential liquidation opportunities

Aave USDT Position
Health Factor: 1.15 (Liquidatable Soon)
HIGH OPPORTUNITY
Compound ETH Loan
Health Factor: 1.42 (Monitoring)
MEDIUM RISK
MakerDAO DAI Position
Health Factor: 2.1 (Safe)
LOW RISK

Code Implementation Examples

Basic Arbitrage Bot (Python)

import asyncio
import aiohttp
from web3 import Web3

class ArbitrageBot:
    def __init__(self, private_key):
        self.w3 = Web3(Web3.HTTPProvider('https://eth-mainnet.alchemyapi.io/v2/YOUR_API_KEY'))
        self.private_key = private_key
        self.uniswap_router = "0x7a250d5630B4cF539739dF2C5dAcb4c659F2488D"
        self.sushiswap_router = "0xd9e1cE17f2641f24aE83637ab66a2cca9C378B9F"
    
    async def find_arbitrage_opportunities(self):
        """Find price differences between DEXes"""
        uniswap_price = await self.get_uniswap_price()
        sushiswap_price = await self.get_sushiswap_price()
        
        if abs(uniswap_price - sushiswap_price) > 0.005:  # 0.5% difference
            return {
                'buy_exchange': 'uniswap' if uniswap_price < sushiswap_price else 'sushiswap',
                'sell_exchange': 'sushiswap' if uniswap_price < sushiswap_price else 'uniswap',
                'profit_margin': abs(uniswap_price - sushiswap_price) / min(uniswap_price, sushiswap_price)
            }
        return None
    
    async def execute_arbitrage(self, opportunity):
        """Execute arbitrage trade"""
        # Implementation details for executing the arbitrage
        pass

# Usage example
bot = ArbitrageBot("your_private_key_here")
opportunity = await bot.find_arbitrage_opportunities()
if opportunity:
    await bot.execute_arbitrage(opportunity)

Liquidation Monitoring (JavaScript)

const { ethers } = require('ethers');

// Aave lending pool ABI (simplified)
const AAVE_LENDING_POOL_ABI = [
  "function getUserAccountData(address user) external view returns (uint256,uint256,uint256,uint256,uint256,uint256)"
];

class LiquidationBot {
  constructor(provider, privateKey) {
    this.provider = new ethers.providers.JsonRpcProvider(provider);
    this.wallet = new ethers.Wallet(privateKey, this.provider);
    this.lendingPool = new ethers.Contract(
      "0x7d2768dE32b0b80b7a3454c06BdAc94A69DDc7A9",
      AAVE_LENDING_POOL_ABI,
      this.wallet
    );
  }

  async monitorPosition(userAddress) {
    try {
      const data = await this.lendingPool.getUserAccountData(userAddress);
      const healthFactor = data[5] / 1e18; // Health factor is in wei
      
      if (healthFactor < 1.05) { // Close to liquidation
        console.log(`⚠️  Position at risk! Health Factor: ${healthFactor.toFixed(3)}`);
        return {
          canLiquidate: true,
          healthFactor: healthFactor,
          maxLiquidationAmount: data[2] // Available amount to liquidate
        };
      }
      
      return { canLiquidate: false, healthFactor: healthFactor };
    } catch (error) {
      console.error('Error monitoring position:', error);
    }
  }
}

// Usage
const bot = new LiquidationBot(
  "https://eth-mainnet.alchemyapi.io/v2/YOUR_API_KEY",
  "your_private_key"
);

// Monitor specific positions
setInterval(() => {
  bot.monitorPosition("0x1234567890123456789012345678901234567890");
}, 5000); // Check every 5 seconds
  • Not accounting for slippage
  • Insufficient testnet testing
  • Poor error handling in bots
  • Not monitoring network congestion
  • Using public RPC endpoints in production
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Experience professional-grade MEV trading infrastructure and dashboards