An autonomous sentiment-based trading agent that executes DCA strategies into BTC and ETH during periods of extreme market fear.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fear-harvester
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 fear-harvester 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 FearHarvester Skill?
FearHarvester is a specialized autonomous agent designed to remove human emotion from cryptocurrency trading. By leveraging the Crypto Fear & Greed Index, this skill identifies optimal entry points when market sentiment reaches levels of extreme panic (index < 10). It is a vital component for users of Openclaw Skills who want to programmatically 'buy the blood' and build positions in core assets like Bitcoin and Ethereum when others are selling.
This skill provides a systematic framework for contrarian investing, ensuring that capital is deployed based on data-driven signals rather than fear-based intuition. As part of the broader Openclaw Skills ecosystem, FearHarvester enables high-frequency sentiment monitoring and automated execution, allowing users to capture market bottoms with precision and discipline.
FearHarvester Skill Use Cases
- Automating Bitcoin and Ethereum accumulation during market crashes.
- Reducing emotional bias in trading by delegating execution to an autonomous agent.
- Backtesting historical sentiment data to validate long-term DCA strategies.
- Automatically shifting profits into yield-generating assets during market recoveries.
How FearHarvester Skill Works
- The agent continuously monitors the Crypto Fear & Greed index through the signals script.
- When the sentiment index drops below the threshold of 10, the agent identifies an Extreme Fear state.
- The executor script triggers a buy order for BTC or ETH based on the allocated capital.
- The agent maintains the position until the sentiment index recovers above 50, at which point it can be configured to rebalance into yield-bearing strategies.
FearHarvester Skill Setup
To get started with this skill, ensure you have the necessary environment configured. Use the following commands to initialize the agent:
# Install dependencies and run backtest
uv run python scripts/backtest.py --start 2018-01-01 --capital 10000
# Start live sentiment monitoring
uv run python scripts/signals.py --live
# Execute trades in dry-run mode to verify configuration
uv run python scripts/executor.py --dry-run
FearHarvester Skill Data Schema & Taxonomy
The FearHarvester skill organizes its operational data and historical logs into a structured format for easy analysis within the Openclaw Skills environment:
| Component | Data Type | Description |
|---|---|---|
| Sentiment Logs | Time-series | Historical records of Fear & Greed index values. |
| Trade Ledger | JSON/CSV | Detailed logs of DCA entries, including price and timestamp. |
| Performance Metrics | Stats | Calculated ROI based on 90-day holding periods during fear cycles. |
| Strategy Config | YAML/JSON | User-defined thresholds for Fear (Buy) and Neutral (Rebalance) triggers. |
FearHarvester Skill Advanced Features
- Multi-asset support for simultaneous BTC and ETH DCA execution.
- Integrated backtesting engine covering market data from 2018 to the present.
- Automated rebalancing hooks to move assets into DeFi yield protocols during greed cycles.
- Dry-run execution mode for risk-free testing of Openclaw Skills integrations.
- Customizable sentiment thresholds for tiered capital entry strategies.
SKILL.md
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