A sophisticated financial logic skill for AI agents to analyze markets, manage risk protocols, and execute disciplined trading strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trader
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 trader 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 Trader?
The Trader skill for Openclaw Skills provides a robust framework for AI-assisted financial market engagement. It focuses on transforming raw market data into actionable insights while maintaining strict emotional and risk-based boundaries. By prioritizing capital preservation through systematic position sizing and stop-loss strategies, this skill ensures that AI agents operate with the discipline of a professional floor trader.
This skill integrates technical analysis, fundamental evaluation, and trading psychology into a cohesive workflow. It helps users navigate various market conditions—from trending momentum to mean-reverting ranges—ensuring that every decision is backed by volume confirmation and a minimum risk-to-reward ratio. Whether you are building an automated assistant or a strategy validator, this addition to your Openclaw Skills library provides the necessary safeguards for modern trading.
Trader Use Cases
- Implementing automated risk management protocols to ensure no single trade exceeds 1-2% of capital.
- Conducting multi-timeframe technical analysis to identify support and resistance zones.
- Evaluating fundamental macro drivers like inflation and interest rates to contextualize price action.
- Developing and backtesting trading strategies to ensure a consistent edge before risking live capital.
- Maintaining a behavioral trading journal to identify and correct emotional execution errors.
How Trader Works
- The skill first assesses the current market environment to determine if it is trending, ranging, or exhibiting high volatility.
- It performs multi-timeframe analysis, zooming out to capture the macro trend before identifying specific entry points.
- The agent calculates the risk-to-reward ratio, ensuring a minimum of 1:2 for every potential setup.
- Risk parameters, including position sizing and stop-loss placement, are defined prior to execution.
- Execution is managed via limit orders where possible to mitigate the impact of slippage and transaction fees.
- Post-trade analysis is performed to log results and refine the strategy based on price action and volume confirmation.
Trader Setup
To deploy this skill within your Openclaw Skills environment, use the standard clawdbot installation process:
clawdbot install trader
Once installed, verify the configuration in your skill manifest to ensure the risk management parameters align with your capital requirements.
Trader Data Schema & Taxonomy
The Trader skill organizes market data and trade logic into the following schema:
| Attribute | Description | Logic Constraint |
|---|---|---|
| Position Size | Percentage of total capital per trade | 1% - 2% |
| Risk/Reward | Ratio of potential loss to potential gain | Minimum 1:2 |
| TA Indicators | Price action, volume, and support/resistance zones | Volume must confirm moves |
| Fundamental Data | Macro trends, earnings quality, and interest rates | Relative to consensus |
| Journal Entry | Log of behavioral patterns and trade outcomes | Mandatory for strategy refinement |
Trader Advanced Features
- Multi-timeframe synchronization for identifying high-confluence trade setups.
- Automated correlation checks to prevent over-exposure across similar asset classes.
- Dynamic stop-loss adjustment protocols based on evolving market volatility.
- Liquidity and spread analysis to optimize execution and reduce hidden costs.
- Behavioral pattern recognition to identify streaks of overconfidence or fear-based trading.
SKILL.md
Loading
Related Openclaw Skills
Toronto Guide Skill
An expert AI agent skill for navigating Toronto's tech scene, housing market, immigration pathways, and urban lifestyle with real-time local data.
Adaptive Tool Intelligence
A dynamic skill that tracks and adapts to your specific tool preferences and development stack while maintaining universal compatibility.
TOML Config Writer
A specialized skill for generating and managing syntactically correct TOML configuration files with full support for complex types and structures.
Tokyo
A comprehensive digital knowledge base for navigating Tokyo as a visitor, resident, tech professional, or entrepreneur.
Trading
An AI-powered technical analysis and educational framework for stocks, forex, and cryptocurrency trading.
Traditional Chinese Natural Localization
An AI skill that bridges the gap between robotic machine translation and natural, region-specific Traditional Chinese for Taiwan and Hong Kong.
Featured*
