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.
Instrucciones de origen · Vista previa de solo lectura
name
Flash Loan Arbitrage Executor
description
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']}")
