Rechercher

PythonReactSEOPDF
OpenClaw

Asset Allocation

Asset Allocation Advisor

codeblackhole10240 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install codeblackhole1024/asset-allocation

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/codeblackhole1024/asset-allocation
Version
—
Commit
bcef4dc48b7aba4522a3719a6745dd5a6419c34c
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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**...

Skills associés

OpenClaw

a-stock-trader

bombfuock

A股模拟交易系统 - 数据爬取、存储、策略回测、模拟交易 / A-Share Paper Trading System - Data Fetch, Storage, Backtest, Simulation

OpenClaw

adaptive-skill-factory

505768069-rgb

Discover, install, update, or create the right skill when a workflow gap appears. Use when a task is repetitive, a role lacks a reliable procedure, an existing skill might save time, ClawHub search/install coul...