Solana Arbitrage Detector

A FastAPI-based service that scans the Solana blockchain for arbitrage transactions. The detector analyzes recent blocks to identify and track potential arbitrage opportunities.

Features

• Blockchain Scanning: Monitors the latest Solana blocks for transactions
• Arbitrage Detection: Analyzes transactions to identify potential arbitrage patterns
• Database Storage: Persists blocks, transactions, and arbitrage events
• REST API: Provides endpoints to access arbitrage data and control scanning
• Background Processing: Automatic periodic scanning of the blockchain
• Health Monitoring: Health check endpoint for system monitoring

API Endpoints

Arbitrage API

• POST /api/v1/arbitrage/scan - Trigger a blockchain scan for arbitrage
• GET /api/v1/arbitrage/status - Get current scan status
• GET /api/v1/arbitrage/events - List detected arbitrage events
• GET /api/v1/arbitrage/events/{event_id} - Get details of a specific arbitrage event

Health Check

• GET /health - Check application health status

Setup and Configuration

Prerequisites

• Python 3.8+
• SQLite database

Installation

1. Clone the repository
2. Install dependencies:

   pip install -r requirements.txt
   

Environment Variables

The application can be configured using the following environment variables:

• SOLANA_RPC_URL - Solana RPC URL (default: "https://api.mainnet-beta.solana.com")
• SOLANA_BLOCKS_TO_SCAN - Number of blocks to scan (default: 10)
• SCAN_INTERVAL_SECONDS - Interval between automatic scans in seconds (default: 60)

Running the Application

1. Start the application:

   uvicorn main:app --host 0.0.0.0 --port 8000
   

2. Access the API documentation at http://localhost:8000/docs

Implementation Details

Arbitrage Detection

The current implementation uses a simple pattern-matching approach to identify potential arbitrage transactions:

1. Looks for transactions with multiple token swap operations
2. Identifies circular patterns (A → B → C → A)
3. Assigns a confidence score based on pattern recognition

In a production environment, this would be enhanced with:

• Token price data integration
• More sophisticated pattern matching
• Profit calculation algorithms
• Machine learning-based classification

Database Schema

• blocks - Stores block data from the Solana blockchain
• transactions - Records transactions from scanned blocks
• token_transfers - Tracks token transfers within transactions
• arbitrage_events - Stores detected arbitrage events with metadata

Future Enhancements

• Real-time profit calculation using token price feeds
• Support for specific DEX protocols (Raydium, Orca, Jupiter, etc.)
• User notifications for arbitrage opportunities
• Historical analytics and trend visualization
• Machine learning for improved detection accuracy

License

MIT License