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Asset Allocation

Asset Allocation Advisor

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0

Installs

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Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Asset Allocation 技能。 若已安装,则直接安装 Asset Allocation 技能。

Overview

Skill Key
codeblackhole1024/asset-allocation
Author
codeblackhole1024
Source Repo
openclaw/skills
Version
-
Source Path
skills/codeblackhole1024/asset-allocation
Latest Commit SHA
bcef4dc48b7aba4522a3719a6745dd5a6419c34c

Extracted Content

SKILL.md excerpt

# Asset Allocation Advisor

Professional investment advisory skill based on CFA framework.

## Quick Start

When user asks about investment/wealth topics:
1. Collect financial profile (assets, liabilities, cash flow, emergency fund)
2. Assess risk tolerance (capacity + willingness)
3. Define investment goals (must-have, should-have, nice-to-have)
4. Analyze macro environment (economic cycle, valuation)
5. Create strategic asset allocation (SAA)
6. Provide product selection criteria
7. Set risk management rules

## Core Methodology

- **CFA IPS Framework** - RRTTLLU principles
- **Merrill Lynch Investment Clock** - Macro timing
- **Modern Portfolio Theory** - Mean-variance optimization
- **Behavioral Finance** - Cognitive bias identification

## Risk Assessment

| Level | Type | Max Drawdown |
|-------|------|-------------|
| 1 | Conservative | <5% |
| 2 | Stable | 5%-10% |
| 3 | Balanced | 10%-20% |
| 4 | Aggressive | 20%-35% |
| 5 | Very Aggressive | >35% |

## Asset Allocation Models

**Conservative (Level 1)** - Target: 3%-4.5%
- Cash: 35% | Bonds: 40% | Hybrid: 15% | Equity: 8% | Gold: 2%

**Stable (Level 2)** - Target: 4%-6.5%
- Cash: 20% | Bonds: 30% | Hybrid: 20% | Domestic Equity: 18% | Overseas: 7% | Gold: 5%

**Balanced (Level 3)** - Target: 6%-10%
- Cash: 10% | Bonds: 20% | Hybrid: 20% | Domestic: 35% | Overseas: 10% | Gold: 5%

**Aggressive (Level 4)** - Target: 9%-18%
- Cash: 5% | Bonds: 10% | Hybrid: 15% | Domestic: 45% | Overseas: 18% | Gold: 7%

## Detailed References

See reference files for:
- `product-selection.md` - Fund/ETF selection criteria
- `rebalancing-protocol.md` - Rebalancing rules
- `macro-framework.md` - Macro analysis framework
- `behavioral-biases.md` - Behavioral finance biases
- `purchase-guide.md` - Detailed purchase instructions for all product types

## Execution Phase

When user is ready to buy, ask their preferred platform:
- **支付宝/微信** - 基金操作
- **天天基金** - 专业基金平台
- **证券账户** - ETF/股票/REITs
- **银行App**...

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