Risk Manager for Openclaw

A professional-grade financial risk management tool designed to monitor portfolio exposure, calculate trade expectancy, and implement systematic hedging strategies.

cry779
v1.0.0
Apr 3, 2026
0
802
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install openclaw-risk-manager

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install openclaw-risk-manager 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 Risk Manager?

The Risk Manager skill is a sophisticated tool within the Openclaw Skills library designed for traders, analysts, and developers who need to implement rigorous portfolio protection. It focuses on the quantitative side of trading, providing the necessary infrastructure to calculate Value at Risk (VaR), correlation matrices, and R-multiple distributions. By leveraging this skill, users can move away from emotional decision-making and toward a systematic approach grounded in probability and risk-adjusted performance metrics.

This skill serves as a proactive assistant that helps maintain discipline by enforcing position limits and calculating optimal sizing through the Kelly criterion. Whether you are building a custom trading bot or managing a manual portfolio, integrating this into your Openclaw Skills workflow ensures that every trade is backed by a solid risk assessment and a clear exit strategy.

Risk Manager Use Cases

  • Monitoring real-time portfolio risk and enforcing position limits
  • Calculating trade expectancy and performance through R-multiple analysis
  • Determining optimal position sizing based on specific account risk percentages
  • Implementing hedging strategies using options and futures to mitigate market volatility
  • Performing stress tests and scenario analysis to understand maximum drawdown potential

How Risk Manager Works

  1. Define the primary risk unit (1R) as the maximum allowable loss for a single trade.
  2. Input portfolio data to calculate current exposure and individual position sizing using the Kelly criterion.
  3. Track all ongoing and historical trades in R-multiples to maintain an objective performance log.
  4. Analyze the correlation and beta of all assets to identify and reduce portfolio concentration risk.
  5. Generate systematic stop-loss and take-profit levels based on current volatility and account constraints.
  6. Run Monte Carlo simulations to stress test the portfolio against various market scenarios.

Risk Manager Setup

To get started with Risk Manager in your Openclaw Skills environment, ensure your workspace is configured to handle financial data inputs.

# Install the risk manager skill
openclaw install risk-manager

# Configure your baseline risk parameters
openclaw config risk-manager --risk-per-trade 0.01 --max-drawdown 0.10

For complex implementations, refer to the resources/implementation-playbook.md included in the skill package.

Risk Manager Data Schema & Taxonomy

The skill organizes its output into actionable reports and structured data formats to facilitate easy decision-making.

Output Component Format Description
Risk Assessment Report Comprehensive metrics including VaR and portfolio beta
R-Multiple Tracker Spreadsheet Log of trades measured in risk units for objective analysis
Expectancy Calculator Markdown/JSON Mathematical win/loss expectations and profit factors
Correlation Matrix Table Grid mapping the relationships between portfolio assets
Hedging Logic List Specific recommendations for options or futures offsets

All metadata within these reports is designed to integrate seamlessly with other Openclaw Skills for automated workflows.

Risk Manager Advanced Features

  • Multi-agent support for collaborative risk assessment and trade tracking
  • Advanced Monte Carlo simulations for deep-dive stress testing
  • Automated hedging recommendations based on real-time correlation shifts
  • Custom risk dashboard templates compatible with major productivity tools
  • Proactive alerts for position limit breaches or excessive portfolio correlation

SKILL.md


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