Technical Documentation
Basic Docs
  • X (Twitter)
  • Discord
  • 👋Welcome
  • Introduction to CapsureLabs Ecosystem and Architecture
    • Overview of CapsureLabs System and Components
    • Target Audiences and Use Cases
    • Security Model and Access Management
  • System Architecture of CapsureLabs
    • Platform Architecture Overview
    • Microservices Architecture
    • Blockchain and External System Integration
  • API and Integrations
    • REST and WebSocket API
    • GraphQL API for Developers
    • Integration with Third-Party Services and Modules
  • Tools for Traders and Investors
    • AiTradeBot: Algorithms and Prediction
    • NFT Sniper: Data Analysis and Automation
    • DeFi Yield Optimizer: Integration and Yield Automation
    • Arbitrage Scanner: Automated Trade Execution
  • Smart Contract Development and Deployment
    • Essential Patterns and Practices in Smart Contract Development
    • Development Tools: Solidity, Hardhat, Truffle
    • Gas Optimization Solutions
  • Tools for Content Creators
    • NFT Creator Hub: Generation and Management
    • MetaGallery: Creating Virtual Galleries
    • IP Protection Tool: Smart Contracts for IP Protection
    • Revenue Splitter: Automated Revenue Distribution
  • Developer Tools
    • Web3 Dev Toolkit: Libraries and Frameworks
    • Smart Contract Debugger: Contract Testing
    • Chain Interoperability Tool: Building Cross-Chain Applications
  • Wallet Management and Monitoring
    • Wallet Aggregator: Managing Multiple Wallets
    • Decentralized Identity Manager: Access Control and Management
    • Transaction and Balance Monitoring Tools
  • Gaming and Metaverse
    • Game Asset Tracker: Monitoring Game Assets
    • Play-to-Earn Optimizer: Earnings Optimization
    • Virtual Land Manager: Virtual Real Estate Management
  • DAO and Decentralized Governance
    • DAO Governance Tool: Creation and Management
    • Community Incentive Manager: Token and Reward Management
  • Security Protocols and Data Protection
    • Authentication and Access Control
    • Data and Communication Encryption Methods
    • Compliance and Regulatory Alignment
  • Cloud Infrastructure and DevOps
    • Server and Network Configuration Management
    • Monitoring, CI/CD, and Disaster Recovery
    • Auto-Scaling and Load Balancing
  • Payment Gateways and Financial Integration
    • Cryptocurrency Payment Gateways
    • Fiat Payment Systems Integration
  • Machine Learning and Prediction Techniques
    • AI Algorithms for Data Analysis
    • Real-Time User Behavior Analysis
    • Automation and Content Generation
  • Testing and Quality Assurance
    • Automated and Manual Testing
    • Load Testing and Performance Optimization
    • System Monitoring and Auto-Recovery
  • GitHub
Powered by GitBook
On this page
  • 1.1 Arbitrage Scanner Overview
  • 1.2 Setting Up the Environment
  • 1.2.1 Prerequisites
  • 1.2.2 Configuration
  • 1.3 DEX Monitoring
  • 1.3.1 Initial Setup for DEX Price Checking
  • 1.3.2 Monitoring Prices and Identifying Arbitrage
  • 1.4 Automated Trade Execution
  • 1.4.1 Trade Execution (Buy/Sell)
  • 1.5 Scheduling and Execution Automation
  • 1.5.1 Automation using setInterval
  • 1.5.2 Advanced Scheduling with Node Scheduler
  • 1.6 Risk Management and Constraints
  1. Tools for Traders and Investors

Arbitrage Scanner: Automated Trade Execution

1.1 Arbitrage Scanner Overview

Arbitrage Scanner is a tool for identifying and executing arbitrage opportunities across decentralized exchanges (DEXs) using automated trade execution. By monitoring price differences of the same asset across multiple DEXs, the scanner can identify profitable arbitrage opportunities and execute trades to capitalize on price discrepancies.


1.2 Setting Up the Environment

This section describes the initial setup required to use and deploy the Arbitrage Scanner.

1.2.1 Prerequisites

  • Node.js for running JavaScript scripts and managing dependencies.

  • Web3.js for Ethereum interactions.

  • dotenv for secure management of API keys and private keys.

Install required dependencies:

npm install web3 dotenv axios

1.2.2 Configuration

Use a .env file to securely store your private key, API keys, and node provider URL.

INFURA_API_KEY=your_infura_key
PRIVATE_KEY=your_private_wallet_key

1.3 DEX Monitoring

This section describes the process of monitoring price differences on DEXs.

1.3.1 Initial Setup for DEX Price Checking

We will use the Uniswap and Sushiswap smart contracts to retrieve price information and identify potential arbitrage opportunities.

Uniswap Price Fetching (using Web3.js and Uniswap V2 SDK)

const Web3 = require("web3");
require("dotenv").config();

const web3 = new Web3(`https://mainnet.infura.io/v3/${process.env.INFURA_API_KEY}`);
const UniswapV2PairABI = [/* ABI for UniswapV2Pair contract */];
const uniswapPairAddress = "0xB4e16d0168e52d35CaCD2c6185b44281Ec28C9Dc";  // USDC/ETH pair on Uniswap

async function getUniswapPrice() {
    const pairContract = new web3.eth.Contract(UniswapV2PairABI, uniswapPairAddress);
    const reserves = await pairContract.methods.getReserves().call();
    
    const reserve0 = reserves._reserve0; // USDC reserve
    const reserve1 = reserves._reserve1; // ETH reserve
    const price = reserve0 / reserve1;   // Price of USDC in terms of ETH

    console.log("Uniswap Price (USDC/ETH):", price);
    return price;
}

Sushiswap Price Fetching

Using the same code structure, we can fetch the Sushiswap price for the USDC/ETH pair.

const sushiswapPairAddress = "0x397FF1542f962076d0BFE58eA045FfA2d347ACa0";  // USDC/ETH pair on Sushiswap

async function getSushiswapPrice() {
    const pairContract = new web3.eth.Contract(UniswapV2PairABI, sushiswapPairAddress);
    const reserves = await pairContract.methods.getReserves().call();
    
    const reserve0 = reserves._reserve0;
    const reserve1 = reserves._reserve1;
    const price = reserve0 / reserve1;

    console.log("Sushiswap Price (USDC/ETH):", price);
    return price;
}

1.3.2 Monitoring Prices and Identifying Arbitrage

Once we have the prices from both exchanges, we can compare them to determine if an arbitrage opportunity exists. Here’s an example script to do this.

async function checkArbitrage() {
    const uniswapPrice = await getUniswapPrice();
    const sushiswapPrice = await getSushiswapPrice();

    const priceDifference = Math.abs(uniswapPrice - sushiswapPrice);

    // Define a minimum threshold for profitable arbitrage
    const minArbitrageProfit = 0.5; // Adjust this based on gas fees and desired profit margin

    if (priceDifference >= minArbitrageProfit) {
        console.log("Arbitrage Opportunity Detected!");
        executeTrade(uniswapPrice > sushiswapPrice ? "buy" : "sell");
    } else {
        console.log("No arbitrage opportunity.");
    }
}

1.4 Automated Trade Execution

When an arbitrage opportunity is identified, the script can automatically execute trades on the DEXs. This example demonstrates how to execute trades on Uniswap and Sushiswap using Web3.js.

1.4.1 Trade Execution (Buy/Sell)

Defining Swap Function

This function interacts with the Uniswap Router to perform a token swap.

const UniswapV2RouterABI = [/* ABI for UniswapV2Router02 */];
const uniswapRouterAddress = "0x5C69bEe701ef814a2B6a3EDD4B1652CB9cc5aA6f";  // UniswapV2Router02 address

async function swapTokens(amountIn, path, to) {
    const router = new web3.eth.Contract(UniswapV2RouterABI, uniswapRouterAddress);

    // Set transaction parameters
    const tx = {
        from: process.env.PUBLIC_KEY,
        to: uniswapRouterAddress,
        data: router.methods.swapExactTokensForTokens(
            amountIn,
            0,       // minimum amount out
            path,
            to,
            Math.floor(Date.now() / 1000) + 60 * 10 // 10 minutes
        ).encodeABI(),
        gas: 200000,
        gasPrice: await web3.eth.getGasPrice(),
    };

    // Sign and send transaction
    const signedTx = await web3.eth.accounts.signTransaction(tx, process.env.PRIVATE_KEY);
    const receipt = await web3.eth.sendSignedTransaction(signedTx.rawTransaction);
    console.log("Trade executed:", receipt);
}

Example Arbitrage Execution

After the trade execution function is set up, we can call it to execute trades when a profitable arbitrage is detected.

async function executeTrade(action) {
    const amountIn = web3.utils.toWei("1", "ether");  // Define the amount based on liquidity and desired profit
    const path = action === "buy" 
        ? ["0xA0b86991c6218b36c1d19d4a2e9eb0ce3606eb48", "0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2"] // USDC -> ETH
        : ["0xC02aaA39b223FE8D0A0e5C4F27eAD9083C756Cc2", "0xA0b86991c6218b36c1d19d4a2e9eb0ce3606eb48"]; // ETH -> USDC

    try {
        await swapTokens(amountIn, path, process.env.PUBLIC_KEY);
    } catch (error) {
        console.error("Trade execution failed:", error);
    }
}

1.5 Scheduling and Execution Automation

By setting up scheduled intervals, the script can monitor prices and execute trades as soon as an arbitrage opportunity is detected.

1.5.1 Automation using setInterval

The following example calls checkArbitrage every 30 seconds.

const checkInterval = 30000; // Check every 30 seconds

setInterval(() => {
    checkArbitrage();
}, checkInterval);

1.5.2 Advanced Scheduling with Node Scheduler

For more robust scheduling, consider using the node-schedule library for more complex execution timing.

const schedule = require("node-schedule");

// Check every 30 seconds on the dot
schedule.scheduleJob("*/30 * * * * *", async () => {
    await checkArbitrage();
});

1.6 Risk Management and Constraints

Setting parameters such as minimum profit thresholds and gas fees helps avoid unprofitable trades. Adjust these parameters based on current gas prices and liquidity.

{
    "minProfitThreshold": 0.5,
    "maxGasPrice": "10000000000", // in wei (10 Gwei)
    "liquidityBuffer": 1.1
}

PreviousDeFi Yield Optimizer: Integration and Yield AutomationNextEssential Patterns and Practices in Smart Contract Development

Last updated 7 months ago

Page cover image