A dynamic risk management skill for AI agents designed to automate trailing stop-loss triggers and protect trading profits in volatile markets.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stop-loss-optimization
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 stop-loss-optimization 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 Stop-Loss Optimization?
The Stop-Loss Optimization skill provides a robust framework for managing financial risk within AI-driven trading workflows. Specifically engineered for the A-share market, it implements a disciplined approach to capital preservation by ensuring that profitable positions are protected against sudden reversals. By integrating this logic into Openclaw Skills, developers can equip their agents with the ability to calculate hard exits and trailing thresholds based on real-time price action.
At its core, the skill aims to solve the common trader's dilemma of small wins and large losses. It operates on strict principles: never letting a profit turn into a loss once certain milestones are reached and maintaining an unconditional exit strategy if the initial investment drops by a set percentage. This makes it an essential tool for any developer building automated financial advisory or trading execution agents.
Stop-Loss Optimization Use Cases
- Automatically calculating the optimal exit price for a new stock position.
- Deciding whether to continue holding a stock during a market correction.
- Setting up tiered profit-taking levels that move dynamically with the stock price.
- Executing emergency liquidation orders during extreme market conditions like limit-down openings.
How Stop-Loss Optimization Works
- The skill identifies the initial entry cost and monitors the current market price of the asset.
- It establishes an unconditional 5% hard stop-loss from the cost line to minimize initial downside.
- As the price moves upward in 5% increments, the skill automatically recalculates and raises the stop-loss level (e.g., at 10% gain, the stop-loss moves to the 5% profit mark).
- It monitors for extreme scenarios, such as sudden negative news or limit-down gaps, triggering an immediate sell signal for the next available auction session.
Stop-Loss Optimization Setup
To integrate this skill into your local environment, use the following commands:
# Install the skill via the Openclaw CLI
openclaw install stop-loss-optimization
# Configure your risk parameters
openclaw configure stop-loss-optimization --initial-stop 0.05 --trailing-step 0.05
Ensure your agent has access to real-time market data feeds to allow the dynamic calculation logic to function accurately within the Openclaw Skills framework.
Stop-Loss Optimization Data Schema & Taxonomy
The skill processes and generates data according to the following structure:
| Attribute | Description | Logic |
|---|---|---|
cost_basis |
The purchase price of the stock | User-defined or transaction-linked |
hard_stop |
The absolute minimum exit price | cost_basis * 0.95 |
trailing_stop |
The dynamic exit price based on peak gain | Tiered: +5%, +10%, +15% gain triggers |
market_status |
Detection of extreme volatility or limit-down | Boolean trigger for emergency exit |
Stop-Loss Optimization Advanced Features
- Multi-tier trailing stop logic that locks in incremental 5% profit blocks.
- Intelligent detection of gap-down openings to prioritize liquidity preservation.
- Seamless integration with existing Openclaw Skills for automated portfolio rebalancing.
- Custom threshold overrides for different volatility profiles of specific stock tickers.
SKILL.md
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