Volume Bot on Ethereum and Solana

Luka Cosic

Blockchain Developer

Smart Contract Engineer

Fullstack Engineer

Telegram API

Telegram bots

Web3.js

Features

Trading Volume Monitoring

Monitor real-time trading volumes on specific DEXs (e.g., Uniswap, SushiSwap on Ethereum; Serum, Raydium on Solana).

Track token pairs, wallet activities, and liquidity pools.

Historical volume analysis to detect trends.

Simulated Volume Generation

Execute trades between wallets or use flash loans to create artificial volume.

Target specific pairs to boost their appearance in rankings.

Data Reporting

Generate reports or dashboards showing token volume trends.

Real-time alerts for volume spikes or anomalies.

Cross-Chain Compatibility

Operate on Ethereum (EVM-compatible chains) and Solana.

Use different APIs and SDKs for each chain.

Optimization and Cost Efficiency

Minimize gas costs for Ethereum by batching transactions or using Layer 2 solutions.

On Solana, optimize for speed and low fees.

Technical Components

Ethereum Integration

Libraries

Web3.js or ethers.js for interacting with Ethereum smart contracts.

Viem for a modern TypeScript-based alternative.

DEX APIs

Integrate with Uniswap or SushiSwap SDKs to fetch liquidity pool data and execute trades.

Gas Management

Implement EIP-1559 transactions for optimized gas pricing.

Simulate trades locally using tools like Hardhat or Ganache.

Solana Integration

Libraries

Use the @solana/web3.js library for Solana blockchain interactions.

DEX APIs

Integrate with Serum or Raydium using their respective SDKs.

Performance

Leverage Solana's low latency for rapid transactions and data queries.

Backend Infrastructure

Programming Languages: Use Python, TypeScript, or Rust for backend logic.

Database: Store transaction logs and historical volumes in PostgreSQL or MongoDB.

Task Scheduling: Use Cron or a task queue (like Celery or Bull.js) for periodic checks.

Frontend

A web dashboard for tracking real-time volume data.

Framework: React.js, Next.js, or a similar frontend library.

Visualization: Chart.js or D3.js for interactive volume graphs.

Workflow

Data Collection

Connect to Ethereum and Solana RPC nodes (via Infura, Alchemy, or QuickNode for Ethereum; public Solana RPCs or private providers).

Fetch liquidity pool data and recent transactions.

Volume Calculation

Parse transaction logs to extract trade sizes and timestamps.

Aggregate data by token pairs and timeframes.

Trade Execution

Deploy smart contracts for efficient swapping (Ethereum: via Uniswap router; Solana: Serum/Raydium programs).

Manage multiple wallets for obfuscation and spreading trades.

Optimization

Use backtesting to identify profitable or impactful trade strategies.

Implement error handling and retries for failed transactions.

Tools and Frameworks

Ethereum: Hardhat, ethers.js, Uniswap SDK.

Solana: Anchor framework (for smart contracts), @solana/web3.js.

Data: Dune Analytics or The Graph for querying historical data.

Execution: Bot frameworks like Hummingbot (customizable).

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Posted Dec 6, 2024

I built a Volume Bot on Ethereum and Solana to simulate trading activity and boost the visibility of tokens on decentralized exchanges.

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