A specialized tool for running historical backtests on cryptocurrency trading strategies using the Freqtrade framework.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install freqtrade-backtester
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install freqtrade-backtester using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Freqtrade Backtester?
The Freqtrade Backtester is a robust skill designed to help developers and traders validate their algorithmic trading strategies before deploying capital. By leveraging historical market data, this component of Openclaw Skills allows you to simulate performance, identify risks, and calculate critical metrics like win rates and maximum drawdown within a controlled Docker environment.\n\nThis skill streamlines the iterative process of strategy development, ensuring that your trading logic is battle-tested across various market conditions. As a vital part of the Openclaw Skills ecosystem, it bridges the gap between strategy ideation and live execution with rigorous, reproducible data analysis.
Freqtrade Backtester Use Cases
- Evaluating new cryptocurrency trading strategies against historical price action.\n- Downloading and caching OHLCV data from major exchanges like Kraken or Binance.\n- Calculating risk-adjusted returns using Sharpe and Sortino ratios.\n- Identifying the impact of different stop-loss, ROI, and trailing stop settings.\n- Comparing multiple strategy iterations to find the most profitable configuration.
How Freqtrade Backtester Works
- Download historical market data for specific trading pairs and timeframes using the download-data command.\n2. Configure the strategy class and trading parameters within the Freqtrade user data directory.\n3. Execute the backtest engine to simulate trades over a defined historical timerange.\n4. Analyze the generated trade exports and summary statistics to interpret performance metrics.\n5. Adjust strategy logic or parameters based on results and repeat the cycle to optimize returns.
Freqtrade Backtester Setup
To get started with this skill in the Openclaw Skills framework, ensure you have Docker and docker-compose installed.\n\nFirst, download historical data for your preferred pair:\nbash\ndocker-compose run --rm freqtrade download-data --exchange kraken --pairs BTC/USDT --timeframe 5m --timerange 20240101-\n\n\nNext, run your backtest with the strategy you wish to evaluate:\nbash\ndocker-compose run --rm freqtrade backtesting --strategy YourStrategy --timerange 20240101-20241231 --export trades --export-filename user_data/backtest_results/my_backtest.json\n\n\nConfigure exchange credentials via environment variables for security:\nbash\nexport FREQTRADE__EXCHANGE__KEY=your-api-key\nexport FREQTRADE__EXCHANGE__SECRET=your-api-secret\n
Freqtrade Backtester Data Schema & Taxonomy
The skill manages data within the user_data directory structure, ensuring consistency across Openclaw Skills workflows.\n\n| Path | Description |\n| :--- | :--- |\n| user_data/data/ | Cached historical OHLCV data files in feather or json format. |\n| user_data/backtest_results/ | JSON files containing detailed trade logs and performance summaries. |\n| user_data/strategies/ | Python files containing the logic for your trading strategies. |\n| config.json | Main configuration file for exchange settings and pairlists. |
Freqtrade Backtester Advanced Features
- Multi-pair backtesting support for portfolio-wide performance evaluation.\n- Detailed trade export functionality for external visualization and deep-dive analysis.\n- Seamless integration with environment variables for secure API key management.\n- Support for custom exit reasons and complex trailing stop-loss logic simulation.\n- Compatibility with the broader Openclaw Skills automation pipeline for continuous strategy optimization.
SKILL.md
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