name: all-weather-strategy description: 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. author: wzwangyc version: 1.0.0

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:

1. Intro: "I can generate an All Weather asset allocation for you."
2. Options: Offer to use the "Standard Professional Config" or custom settings.
3. 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()

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