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Investment Analyzer

面向个人投资决策的分析技能:调用本地 Python 脚本计算房产现金流、CoC、Cap Rate 与 ETF 的 MER、收益及持仓重叠,结合参考阈值输出 ✅ BUY / ⚠️ INVESTIGATE / ❌ PASS 结论,并提供 ETF 与房产对比和每笔工资的定投金额分配建议。

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clairproqc-star
热度 53.54
最近更新 2026-05-18 11:20:07
分类:数据依赖:代码执行 / 第三方 API / 读写文件 / 内部调用大模型应用场景:财务 / 市场分析 / 报告撰写 / 研究 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add investment-analyzer
Metadata
name
investment-analyzer
description
Investment analysis for properties and ETFs. BUY/PASS/INVESTIGATE verdicts backed by data. Scans Centris for listings, advises DCA allocation. Triggers: analyze property, ETF, scan Centris, 定投, DCA, 投资房, compare real estate vs ETF.
metadata
{"clawdbot":{"emoji":"📈","requires":{"bins":["gemini"],"env":["GEMINI_API_KEY"]},"primaryEnv":"GEMINI_API_KEY"}}

Investment Analyzer Skill

Give data-driven investment conclusions. Always end with ✅ BUY / ⚠️ INVESTIGATE / ❌ PASS.

Resource Locations

Standard Workflows

1. Analyze a Rental Property

  • Trigger: User shares a listing (address, price, estimated rent) or asks "should I buy X property"
  • Process:
    1. Collect: purchase price, estimated monthly rent, property taxes, address.
    2. Run scripts/analyze_property.py with the inputs.
    3. Calculate: mortgage payment (20% down, current rate), cash flow, CoC, Cap Rate, GRM.
    4. Factor in Quebec welcome tax, maintenance reserve, vacancy, insurance.
    5. Compare result against thresholds in references/criteria.md.
    6. Present full breakdown + conclusion.

2. Analyze an ETF

  • Trigger: User asks "is XEQT worth buying", "analyze VFV", or names a ticker
  • Process:
    1. Run scripts/analyze_etf.py <TICKER> to fetch MER, returns, top holdings.
    2. Calculate overlap with current TEC.TO holdings.
    3. Compare historical return vs thresholds in references/criteria.md.
    4. Assess whether it improves portfolio diversification.
    5. Present full breakdown + conclusion.

3. ETF vs Real Estate — Where to Put the Money

  • Trigger: "should I invest in ETF or property", "where should I put $X", "compare ETF vs real estate"
  • Process:
    1. Clarify available capital (if not stated).
    2. Run scripts/compare_allocation.py with the capital amount.
    3. Model both scenarios over the investment horizon using same capital base.
    4. Apply after-tax adjustments (marginal rate ~46%, capital gains 50% inclusion).
    5. State leverage effect explicitly.
    6. Present side-by-side comparison + conclusion.

4. Daily Property Scan

  • Trigger: "scan for properties", "帮我找投资房", "daily scan", "Centris scan"
  • Process:
    1. Run scripts/scan_properties.py --city sherbrooke --min-price 280000 --max-price 550000.
    2. Surface only ✅ BUY or ⚠️ INVESTIGATE listings with address, price, units, cash flow, cap rate, CoC, URL.
    3. If Centris scraping fails, paste listing details manually and use analyze_property.py.

5. DCA Advisor — How Much to Invest Each Paycheck

  • Trigger: "how much should I invest", "定投比例", "工资投多少", "DCA advice"
  • Process:
    1. Run scripts/dca_advisor.py with current emergency fund, TFSA/RRSP room, LOC balance.
    2. Priority: Emergency fund → TFSA (HXQ) → RRSP (HXQ) → LOC paydown → Down payment reserve → HXQ taxable.
    3. Report exact dollar split per bucket and any flags.

Output Format

Each analysis must include: Key Metrics table, 2-3 sentence summary, and final verdict ✅ BUY / ⚠️ INVESTIGATE / ❌ PASS with one-line reason.