An AI-powered skill that transforms natural language prompts into production-ready Python trading strategies for the Hyperliquid exchange.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vibetrading-code-gen
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install vibetrading-code-gen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The VibeTrading Code Generator is a sophisticated technical asset designed to bridge the gap between trading concepts and programmatic execution. By leveraging Openclaw Skills, developers and traders can input simple text prompts to generate complex, validated Python code that integrates directly with the Hyperliquid API. The skill handles the heavy lifting of API connectivity, risk management, and error handling, ensuring that the resulting scripts are not only functional but also follow industry best practices for algorithmic trading.
This tool is particularly valuable for those looking to rapidly prototype and deploy strategies without manually writing boilerplate code for exchange interactions. It provides a robust framework for creating technical indicator strategies, advanced grid trading bots, and signal-following systems, all while maintaining strict code quality through an automated validation and repair pipeline.
To get started with this skill, ensure you have Python 3.6 or higher installed. Follow these configuration steps:
export HYPERLIQUID_API_KEY="your_api_key_here"
export HYPERLIQUID_ACCOUNT_ADDRESS="your_address_here"
python scripts/strategy_generator.py "Generate a BTC RSI strategy, buy below 30, sell above 70"
python scripts/backtest_runner.py generated_strategies/btc_rsi_strategy.py
The skill organizes its output into a structured package for immediate deployment:
| Component | Description |
|---|---|
| Strategy Python File | Complete executable class containing trading logic and API wrappers. |
| Configuration File | JSON or Dictionary structure for tuning parameters like RSI periods and risk limits. |
| Validation Report | Summary of all compatibility checks and automatic fixes applied to the code. |
| Performance Metrics | If backtested, includes Sharpe Ratio, Max Drawdown, and Win Rate data. |
| Requirements.txt | List of all Python dependencies required to run the strategy. |
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