crypto-bot-factory

What This Skill Does

The crypto-bot-factory is a specialized OpenClaw skill designed to function as an automated quantitative trading bot architect and strategy tuner. It simplifies the complex process of developing crypto trading strategies by enabling users to describe their trading style using natural language. The bot factory handles the configuration of sophisticated trading parameters, executes backtests, performs periodic reflective evolution of the strategy to adapt to market changes, and validates the final deployment-ready model.

Installation

You can install the skill by executing the following command in your terminal: clawhub install openclaw/skills/skills/fei-moss/moss-trade-bot-factory

Use Cases

• Strategy Prototyping: Quickly transform an abstract idea, such as "I want a trend-following bot that avoids high-volatility spikes," into a fully functional trading configuration.
• Automated Parameter Tuning: Utilize the built-in evolutionary mechanism to refine tactical parameters (like stop-loss ATR multipliers or RSI periods) based on historical market data.
• Risk Management Design: Automatically calculate safe leverage ratios and position sizing based on specified risk tolerance levels.
• Adaptive Backtesting: Run iterative backtests where the strategy learns from its performance week-by-week, allowing for more robust real-world outcomes compared to static backtesting.

Example Prompts

1. "I want to create a trend-following bot with 10x leverage, focus on high-momentum market phases, and enable rolling trades to maximize profits during strong uptrends. Please configure and start the backtest."
2. "My current bot is hitting the stop-loss too frequently during choppy markets. Can you analyze the performance and perform a reflective evolution to adjust the volatility weight and entry thresholds?"
3. "Set up a conservative mean-reversion strategy for Bitcoin on a 4-hour timeframe, emphasizing strict risk control and a 2:1 risk-reward ratio."

Tips & Limitations

• Understanding Categories: Note that 'Personality' parameters are fixed during evolution, while 'Tactical' parameters are subject to change. Do not attempt to re-evolve core identity traits as it may destroy the strategy's fundamental logic.
• Leverage Risks: Always balance your leverage against your stop-loss distance. High leverage without a wide ATR-based stop-loss is the fastest way to liquidate your account.
• Rolling Logic: If you are building a trend-following bot, enabling rolling trades is strongly recommended to avoid the pitfall of symmetric wins and losses, as this allows you to scale into winners.
• Workflow Discipline: The skill is designed for a step-by-step interactive process. Wait for the bot to confirm each stage (setup -> backtest -> analyze -> evolve) before moving to the next to ensure your configuration is stored correctly.