Fear Harvester

What This Skill Does

The Fear Harvester is an autonomous DCA (Dollar-Cost Averaging) agent designed specifically for extreme market volatility. Developed by bowen31337, this skill utilizes the Fear & Greed index as a primary signal to remove human emotion from trading. When the index drops below 10, signaling extreme fear, the agent automatically executes DCA buys into BTC and ETH, capitalizing on market panic. Conversely, when sentiment recovers to a neutral level (F&G > 50), the skill shifts assets into yield-generating protocols to maximize efficiency. By automating this "buy the fear" strategy, the agent helps users avoid the common pitfalls of panic-selling during downturns and emotional over-buying during rallies.

Installation

To add the Fear Harvester to your OpenClaw environment, ensure you have the CLI configured, then execute the following command in your terminal:

clawhub install openclaw/skills/skills/bowen31337/fear-harvester

Ensure that your environment variables for trading APIs or exchange credentials are set before running the executor, as this skill interacts with live financial data.

Use Cases

• Automated Portfolio Accumulation: Perfect for long-term investors looking to increase their BTC/ETH holdings during market crashes without monitoring charts 24/7.
• Risk-Averse Profit Taking: Useful for users who want to transition from aggressive accumulation to capital preservation as market sentiment improves.
• Algorithmic Backtesting: Provides researchers with the tools to verify the historical performance of fear-based signals against specific portfolio capital amounts.

Example Prompts

1. "OpenClaw, run a backtest on the Fear Harvester strategy for the year 2023 with a starting capital of $5,000."
2. "Activate the Fear Harvester in dry-run mode and let me know when the next extreme fear signal is detected."
3. "Summarize the current market sentiment and check if the Fear Harvester is currently accumulating or rebalancing to yield."

Tips & Limitations

• Historical Performance: While the 2018-2024 data shows a 40-80% average return on 90-day holds, past performance is not a guarantee of future success.
• Market Depth: Extreme fear periods can sometimes coincide with exchange liquidity crunches; ensure your trading execution logic is set up to handle slippage.
• Dry-Run First: Always utilize the --dry-run flag in executor.py for at least one full market cycle before deploying actual capital to ensure your API credentials and order sizes are configured correctly.