All Weather Strategy

Calculate asset allocation weights for a portfolio of ETFs based on Risk Parity (All Weather) principles. Includes annualized return and risk metrics. Fully interactive with proactive AI guidance.

Audits

Pass

ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install all-weather-strategy

All Weather Strategy Skill (Professional Edition)

This skill provides a professional implementation of the Risk Parity (All Weather) investment strategy. It is optimized for the OpenClaw marketplace.

Core Capabilities

Risk Parity Optimization: SLSQP-based solver for equal risk contribution.
Annualized Performance: Forecasts return and volatility based on historical lookback.
Proactive AI Guidance: Instructions optimized for AI agents to interact with humans.

Default Parameters (Standard Config)

Amount: 10,000.0 CNY
Lookback: 365 days
Market Pool: A mix of Global (S&P 500, Nasdaq) and Domestic (STAR 50, Treasury, Gold) ETFs.

AI Interaction Logic

The AI assistant must act as a financial consultant:

Intro: "I can generate an All Weather asset allocation for you."
Options: Offer to use the "Standard Professional Config" or custom settings.
Prompt: Ask specifically about the investment amount and if they want to modify the ETF pool.

Usage Example

from scripts.engine import AllWeatherEngine

# The engine handles all defaults natively
engine = AllWeatherEngine()
results = engine.run()