🔄 Solana Arbitrage Bot (Cross-DEX, MEV-Aware, Rust)

A high-performance Solana arbitrage bot designed to detect and execute profitable cross-DEX trading opportunities across multiple Solana decentralized exchanges (DEXs) using optimized routing, flashloans, and MEV-aware execution strategies.

This repository serves as a technical reference and advanced implementation for developers building:

• Solana arbitrage bots
• Solana DEX arbitrage systems
• MEV-aware trading bots
• Rust-based trading infrastructure

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🚀 Featured Medium Article

📝 How to Build a Solana Arbitrage Bot (MEV-Aware, Cross-DEX Architecture)
Read the full explanatory article on Medium:
👉 https://medium.com/@amazingrace8190/how-to-build-a-solana-arbitrage-bot-mev-aware-cross-dex-architecture-9e5213326dd5

The article covers arbitrage fundamentals, Solana arbitrage bot architecture, MEV risks, and implementation strategies — perfect before exploring the code.

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📞 Contact & Support

• Telegram: https://t.me/insionCEO
• Discord: insionceo0
• Email: amazingrace8190@gmail.com

💼 Consulting & custom Solana bot development available.

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📘 What Is a Solana Arbitrage Bot?

A Solana arbitrage bot is an automated trading system that monitors price differences between decentralized exchanges (DEXs) on the Solana blockchain and executes atomic trades to capture profit from market inefficiencies.

Solana arbitrage strategies commonly include:

• Cross-DEX arbitrage (Raydium ⇄ Orca ⇄ Meteora)
• Two-hop arbitrage
• Triangle arbitrage
• Flashloan-assisted arbitrage

These strategies leverage Solana’s high throughput, fast finality, and low fees.

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🧠 How This Solana Arbitrage Bot Works

1. Real-Time DEX Price Monitoring
   Price feeds from Raydium, Orca, Meteora, Jupiter, and other Solana DEXs.

2. Arbitrage Opportunity Detection
   Uses slippage-aware graphs and route optimization to find profitable paths.

3. Profit Simulation & Validation
   Simulates trades with slippage and fees before execution.

4. Transaction Construction
   Builds optimized and versioned Solana transactions.

5. MEV-Aware Execution
   Submits transactions through multiple RPCs with priority fees.

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🏗 Solana Arbitrage Bot Architecture

Off-Chain Price Monitoring → Route Detection → Simulation → On-Chain Execution → MEV-Aware RPC Broadcast

This hybrid architecture is recommended for production bots because it:

• Improves execution success
• Minimizes slippage losses
• Reduces failed transactions
• Lowers MEV impact

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⚠️ On-Chain Arbitrage Challenges

Solana arbitrage bots face:

💡 MEV Competition

• Front-running and reordering by validators/searchers
• Priority fees affect transaction inclusion

🧱 Compute & Instruction Limits

• Heavy route computation requires optimized pathfinding
• Solana compute unit limits may restrict complex strategies

⏱ Latency & RPC Performance

• Fast execution infrastructure is critical
• Public RPCs often fail real-time constraints

Production implementations require premium RPC access and low latency infrastructure.

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🌟 Key Features

📍 Multi-DEX Support

• Raydium (CPMM & CLMM)
• Orca Whirlpool
• Meteora (DLMM & DAMM V2)
• Pump, SolFi, Vertigo
• Jupiter aggregator

⚙️ Advanced Execution

• Kamino flashloan integration
• Versioned Solana transactions
• Priority fee optimization
• Redundant multi-RPC broadcasting

📊 Monitoring & Analytics

• Realtime profit tracking
• Success/failure rate analysis
• Performance metrics dashboard

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📥 Quick Start Guide

Requirements

• Rust 1.70+
• Solana CLI 1.16+
• 0.1+ SOL for fees

Installation

git clone https://github.com/insionCEO/Solana-Arbitrage-Bot.git
cd Solana-Arbitrage-Bot
cp config.toml.example config.toml

Run the Bot

cargo run --release --bin Solana-Arbitrage-Bot -- --config config.toml

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📊 Supported Solana DEXs & Routes

DEX	Pool Types	Route Roles
Raydium	CPMM, CLMM	Primary large pools
Orca	Whirlpool	Concentrated liquidity
Meteora	DLMM, DAMM	Deep liquidity
Jupiter	Aggregator	Fallback + cross-routing

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⚙️ Technical Implementation

Arbitrage Detection Logic

This bot uses a slippage-aware pathfinding algorithm that accounts for fees, liquidity, and pool depth.

fn find_arbitrage(pools: &[Pool]) -> Option<ArbitragePath> {
    // Optimal routing with Dijkstra + slippage checks
}

Execution Pipeline

1. Simulate trade
2. Validate profit
3. Build Solana transaction
4. Broadcast via multiple RPCs

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🛡 Security & Risk Controls

• Do not hardcode private keys
• Configurable minimum profit thresholds
• Slippage protection and fail checks
• Consider hardware wallets for mainnet

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📈 Monitoring & Metrics

Access metrics locally:

http://localhost:9090/metrics

Metrics include:

• Detected opportunities
• Profitability tracking
• Execution latency
• Success rates

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📚 Detailed Documentation

For deeper conceptual coverage, see:

• Solana Arbitrage Explained
• Solana Arbitrage Bot Architecture
• MEV and Solana Arbitrage

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🤝 Contributing & Support

Contributions are welcome! Fork the repository, improve docs or features, and open a PR.

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⭐ Support the Project

If you found this repository and article helpful, please star ⭐ the project — it helps others discover quality Solana arbitrage resources.

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