Production-ready DeFi arbitrage system that detects and executes profitable price differences across multiple DEXs using Aave V3 flash loans. Real smart contract integration with Uniswap V3, Curve, and SushiSwap.
Production-ready DeFi arbitrage system that detects and executes profitable price differences across multiple DEXs using Aave V3 flash loans. Real smart contract integration with Uniswap V3, Curve, and SushiSwap.
["Capture price inefficiencies across DEXs","Execute zero-capital arbitrage trades","Learn flash loan mechanics hands-on","Research MEV (Maximal Extractable Value)","Automated profit extraction from DeFi"]
expected_output
["List of profitable arbitrage opportunities with net profit estimates","Real-time price data from Uniswap V3, Curve, SushiSwap","Transaction simulation with gas cost breakdowns","Executable flash loan transactions (with private key)","Profit/loss reports and analytics"]
Flash Loan Arbitrage Executor
Overview
The Flash Loan Arbitrage Executor is a production-ready DeFi system that identifies and executes profitable arbitrage opportunities across multiple decentralized exchanges (DEXs) using Aave V3 flash loans.
Core Value Proposition: Execute arbitrage trades with ZERO upfront capital using flash loans.
⚠️ REAL IMPLEMENTATION - NO SIMULATIONS
This skill uses 100% real smart contract interactions:
git clone <repository-url>
cd web3-core-operations/flash-loan-arbitrage
Install Dependencies
pip install -r requirements.txt
Configure RPC Endpoint
# Use a reliable RPC provider
RPC_URL = "https://eth.llamarpc.com"# Public# Or use Alchemy/Infura for production
RPC_URL = "https://eth-mainnet.alchemyapi.io/v2/YOUR_KEY"
Set Private Key (for live trading only)
# NEVER commit private keys to git
PRIVATE_KEY = os.environ.get("PRIVATE_KEY")
Usage
1. Find Arbitrage Opportunities
from arbitrage_finder import ArbitrageFinder
# Initialize finder
finder = ArbitrageFinder(min_profit_threshold=0.3)
# Scan for opportunities
opportunities = finder.find_opportunities()
# Display top opportunitiesfor opp in opportunities[:5]:
print(f"{opp.token_in}/{opp.token_out}")
print(f" Buy on {opp.buy_dex} @ ${opp.buy_price:.4f}")
print(f" Sell on {opp.sell_dex} @ ${opp.sell_price:.4f}")
print(f" Net Profit: ${opp.net_profit_estimate:.2f}")
print(f" ROI: {(opp.net_profit_estimate / opp.optimal_amount * 100):.2f}%\n")
2. Simulate Arbitrage Execution
from flash_loan_executor import FlashLoanExecutor
# Initialize executor (no private key = simulation only)
executor = FlashLoanExecutor(
rpc_url="https://eth.llamarpc.com",
chain="ethereum"
)
# Simulate the best opportunityif opportunities:
best_opp = opportunities[0]
result = executor.simulate_arbitrage(best_opp)
print(f"Simulated Net Profit: ${result['net_profit']:.2f}")
print(f"ROI: {result['roi_percent']:.2f}%")
3. Execute Arbitrage (Live Trading)
⚠️ WARNING: This requires real funds and involves financial risk
# Initialize with private key for real execution
executor = FlashLoanExecutor(
rpc_url="https://eth.llamarpc.com",
private_key=os.environ.get("PRIVATE_KEY"),
chain="ethereum"
)
# Token addresses mapping
token_addresses = {
"WETH": "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2",
"USDC": "0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48",
"USDT": "0xdAC17F958D2ee523a2206206994597C13D831ec7",
# ... other tokens
}
# Execute arbitrage (dry_run=False for real execution)
result = executor.execute_flash_loan_arbitrage(
opportunity=best_opp,
token_addresses=token_addresses,
dry_run=False# Set to True to simulate
)
if result['success']:
print(f"✅ Arbitrage executed successfully!")
print(f"Transaction: {result['tx_hash']}")
else:
print(f"❌ Execution failed: {result['error']}")
