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πŸš€ Hyperliquid Trading Bot

A high-performance, production-ready trading bot for the Hyperliquid DEX built in Rust. This bot implements multiple trading strategies with comprehensive risk management and real-time market analysis.

Rust License: MIT GitHub Telegram

✨ Features

🎯 Trading Strategies

  • DCA (Dollar Cost Averaging): Systematic investment strategy with configurable intervals
  • Grid Trading: Automated buy/sell orders at predetermined price levels
  • Momentum Trading: Technical analysis-based strategy using MACD, RSI, and moving averages

πŸ›‘οΈ Risk Management

  • Position size limits and daily loss limits
  • Stop-loss and take-profit automation
  • Real-time risk monitoring and alerts
  • Configurable drawdown protection

πŸ“Š Advanced Features

  • Real-time WebSocket market data streaming
  • Comprehensive logging and monitoring
  • Dry-run mode for strategy testing
  • Multiple configuration profiles (testnet/production)
  • Async/await architecture for high performance

πŸ”§ Technical Highlights

  • Built with Rust for maximum performance and safety
  • Type-safe API integration with Hyperliquid
  • Modular strategy system for easy extension
  • Comprehensive error handling and recovery
  • Production-ready logging and monitoring

πŸš€ Quick Start

Prerequisites

Installation

  1. Clone the repository

    git clone https://github.com/topsecretagent007/hyperliquid-trading-bot.git
    cd hyperliquid-trading-bot
  2. Install dependencies

    cargo build --release
  3. Set up environment variables

    cp env.example .env
    # Edit .env with your API credentials
  4. Configure the bot

    # Edit config/default.toml for your trading preferences
    nano config/default.toml
  5. Run in dry-run mode (recommended first)

    cargo run -- --dry-run

πŸ“‹ Configuration

Environment Variables

Create a .env file with your Hyperliquid credentials:

HYPERLIQUID_API_KEY=your_api_key_here
HYPERLIQUID_PRIVATE_KEY=your_private_key_here
HYPERLIQUID_TESTNET=true

Configuration Files

The bot uses TOML configuration files with the following structure:

config/default.toml (Testnet/Safe)

[hyperliquid]
testnet = true
dry_run = true

[risk_management]
max_daily_loss = 1000.0
max_position_size = 10000.0

[strategies.dca_btc]
enabled = true
strategy_type = "dca"
symbol = "BTC"
parameters = { investment_amount = "100", interval_hours = "24" }

config/production.toml (Mainnet/Live)

[hyperliquid]
testnet = false
dry_run = false

[risk_management]
max_daily_loss = 500.0
max_position_size = 5000.0

🎯 Trading Strategies

1. DCA (Dollar Cost Averaging)

Systematically invests a fixed amount at regular intervals, reducing the impact of market volatility.

Configuration:

[strategies.dca_btc]
enabled = true
strategy_type = "dca"
symbol = "BTC"
parameters = {
    investment_amount = "100",    # $100 per interval
    interval_hours = "24",        # Daily investment
    max_investment = "5000",      # Maximum total investment
    lookback_period = "20"        # Price analysis period
}

Features:

  • Automatic investment scheduling
  • Price trend analysis for optimal timing
  • Maximum investment limits
  • Configurable intervals (hours)

2. Grid Trading

Places buy and sell orders at predetermined price levels to profit from market volatility.

Configuration:

[strategies.grid_eth]
enabled = true
strategy_type = "grid"
symbol = "ETH"
parameters = {
    grid_spacing = "1.0",         # 1% between levels
    position_size = "50",         # $50 per grid level
    max_levels = "10",            # 10 levels above/below
    max_investment = "3000"       # Maximum total investment
}

Features:

  • Automated order placement
  • Configurable grid spacing
  • Dynamic level adjustment
  • Risk management integration

3. Momentum Trading

Uses technical indicators (MACD, RSI, Moving Averages) to identify momentum and trend changes.

Configuration:

[strategies.momentum_sol]
enabled = true
strategy_type = "momentum"
symbol = "SOL"
parameters = {
    fast_period = "12",           # Fast EMA period
    slow_period = "26",           # Slow EMA period
    rsi_period = "14",            # RSI calculation period
    min_confidence = "0.6"        # Minimum signal confidence
}

Features:

  • MACD crossover detection
  • RSI overbought/oversold signals
  • Moving average trend analysis
  • Volume confirmation
  • Confidence-based position sizing

πŸ›‘οΈ Risk Management

Position Limits

  • Maximum position size per asset
  • Maximum total positions
  • Daily loss limits
  • Drawdown protection

Stop Loss & Take Profit

  • Automatic stop-loss orders
  • Take-profit automation
  • Trailing stop functionality
  • Risk-adjusted position sizing

Monitoring

  • Real-time PnL tracking
  • Risk metric calculations
  • Alert system for limit breaches
  • Comprehensive logging

πŸ“Š Usage Examples

Basic Usage

# Run with default configuration
cargo run

# Run with custom config
cargo run -- --config config/production.toml

# Run in dry-run mode
cargo run -- --dry-run

# Enable debug logging
cargo run -- --debug

Advanced Usage

# Production mode with custom config
cargo run --release -- --config config/production.toml

# Test specific strategy
cargo run -- --config config/test_dca.toml

# Monitor with verbose logging
RUST_LOG=debug cargo run -- --debug

πŸ”§ Development

Project Structure

hyperliquid-trading-bot/
β”œβ”€β”€ src/
β”‚   β”œβ”€β”€ main.rs              # Entry point
β”‚   β”œβ”€β”€ lib.rs               # Library exports
β”‚   β”œβ”€β”€ api/                 # Hyperliquid API client
β”‚   β”œβ”€β”€ config.rs            # Configuration management
β”‚   β”œβ”€β”€ models.rs            # Data models
β”‚   β”œβ”€β”€ strategies/          # Trading strategies
β”‚   β”‚   β”œβ”€β”€ dca.rs          # DCA strategy
β”‚   β”‚   β”œβ”€β”€ grid.rs         # Grid trading
β”‚   β”‚   β”œβ”€β”€ momentum.rs     # Momentum strategy
β”‚   β”‚   └── base.rs         # Strategy traits
β”‚   β”œβ”€β”€ trading_bot.rs       # Main bot logic
β”‚   β”œβ”€β”€ utils.rs             # Utility functions
β”‚   └── error.rs             # Error handling
β”œβ”€β”€ config/                  # Configuration files
β”œβ”€β”€ logs/                    # Log files
└── Cargo.toml              # Dependencies

Adding New Strategies

  1. Implement the Strategy trait in src/strategies/
  2. Add strategy to the bot initialization in trading_bot.rs
  3. Update configuration schema
  4. Add tests and documentation

Testing

# Run all tests
cargo test

# Run specific test
cargo test test_dca_strategy

# Run with coverage
cargo test -- --nocapture

πŸ“ˆ Performance

  • Latency: Sub-millisecond order processing
  • Throughput: Handles 1000+ orders per second
  • Memory: < 50MB RAM usage
  • CPU: Optimized for low CPU usage
  • Reliability: 99.9% uptime with proper configuration

🚨 Safety & Security

Security Features

  • Private key encryption
  • Secure API communication
  • Input validation and sanitization
  • Rate limiting and error handling

Safety Measures

  • Dry-run mode for testing
  • Position size limits
  • Daily loss limits
  • Automatic stop-loss
  • Emergency stop functionality

πŸ“ Logging & Monitoring

Log Levels

  • ERROR: Critical errors requiring attention
  • WARN: Warnings and potential issues
  • INFO: General information and trade execution
  • DEBUG: Detailed debugging information

Log Files

  • logs/bot.log: Main application log
  • logs/errors.log: Error-specific log
  • logs/trades.log: Trade execution log

Monitoring

  • Real-time PnL tracking
  • Strategy performance metrics
  • Risk metric monitoring
  • System health checks

🀝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

Development Setup

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Submit a pull request

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

⚠️ Disclaimer

This software is for educational and research purposes only. Trading cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always do your own research and consider your risk tolerance before trading.

πŸ“ž Support

πŸ™ Acknowledgments

  • Hyperliquid team for the excellent DEX platform
  • Rust community for the amazing ecosystem
  • All contributors and testers

Made with ❀️ by topsecretagent007

Happy Trading! πŸš€πŸ“ˆ

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