nautilus-trader
NautilusTrader algorithmic trading platform for strategy development and live trading. Use when building trading strategies, backtesting, or deploying to Hyperliquid.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/ahuserious/nautilus-traderWhat This Skill Does
The nautilus-trader skill empowers OpenClaw users to interface directly with the NautilusTrader algorithmic trading framework. It provides a specialized environment for developing, backtesting, and deploying high-performance quantitative trading strategies. The skill is uniquely configured to handle the complexities of the Hyperliquid exchange, including the necessary SDK patches required to manage Hyperliquid's specific price precision and connectivity requirements for live trading.
Installation
To integrate this skill into your OpenClaw agent, use the command: clawhub install openclaw/skills/skills/ahuserious/nautilus-trader. Ensure you have Python installed with the necessary dependencies: nautilus_trader, hyperliquid-python-sdk, eth-account, python-dotenv, pandas, and numpy. After installation, create a .env file in your workspace containing your HYPERLIQUID_PK and HYPERLIQUID_VAULT to enable secure authentication with the exchange.
Use Cases
This skill is ideal for quantitative developers and traders who need a robust system to transition from idea to execution. Use it for:
- Developing complex, event-driven trading strategies utilizing multi-timeframe indicators.
- Running rigorous backtests using the NautilusTrader Parquet data catalog to validate strategy performance against historical market conditions.
- Executing live trading strategies on Hyperliquid, ensuring that all trade executions adhere to exchange precision requirements through the built-in SDK patching mechanism.
- Managing automated position sizing and risk management workflows within the framework.
Example Prompts
- "Develop a mean reversion strategy using a 20-period moving average and Heiken Ashi candles, configured for the ETH-USD Hyperliquid perpetual market."
- "Perform a backtest on the last 30 days of BTC-USD data and generate a performance report summarizing the Sharpe ratio and maximum drawdown."
- "Debug my strategy execution flow; the NautilusTrader node is failing to connect to the Hyperliquid gateway during the on_start lifecycle event."
Tips & Limitations
- Pre-Import Patching: Always import the
hyperliquid_patchmodule before initializing any NautilusTrader components to avoid precision errors. - Data Management: Ensure your data catalog is properly indexed in Parquet format before attempting large-scale backtests to maintain high performance.
- Risk Control: Always test strategies in a simulation environment before deploying to live Hyperliquid mainnet accounts to prevent unintended financial losses.
- Version Control: Keep your NautilusTrader installation updated, as the framework frequently updates its adapter interfaces for decentralized exchanges.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-ahuserious-nautilus-trader": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, file-write, file-read, external-api, code-execution
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