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()
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