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Personal Finance & Wealth Intelligence

AI-powered personal finance and wealth management intelligence engine. Covers investment portfolio design (5 asset classes: cash, bonds, stocks, real estate,...
AI驱动的个人财务与财富管理智能平台,涵盖投资组合设计(5大类资产:现金、债券、股票、房地产、...
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#asset-allocation#budgeting#debt#financial-independence#fire#investing#latest#mortgage#personal-finance#portfolio#retirement#savings#tax#wealth-management

概述

Personal Finance & Wealth Intelligence

Capabilities

#CapabilityInputOutput
-----------------------------
1Portfolio DesignerRisk tolerance + time horizon + goalsAsset allocation (stocks/bonds/cash/alt), fund selection, fee analysis, rebalancing schedule
2Retirement Readiness ScoreCurrent assets + savings rate + target retirement ageProjected retirement income, gap analysis, catch-up strategies, Social Security optimization
3Tax Optimization EngineIncome + investments + locationTax-loss harvesting opportunities, tax-efficient fund placement, deductions/credits, Roth conversion analysis
4Debt Payoff StrategistDebts (type, balance, APR)Avalanche vs. Snowball comparison, payoff timeline, interest savings, consolidation options
5Home Buying AnalyzerMarket + financialsBuy vs. rent NPV analysis, mortgage rate optimization (15yr vs. 30yr vs. ARM), closing cost estimate, affordability ceiling
6Financial Independence (FIRE) PlannerIncome + expenses + savings rateFIRE age projection, required nest egg (4% rule variants), Coast FIRE / Barista FIRE / Lean FIRE scenarios
7Education Savings PlannerChild age + college type529 vs. UTMA/UGMA vs. taxable comparison, projected costs, contribution schedule, state tax benefits
8Insurance Needs CalculatorLife stage + dependents + assetsTerm life coverage recommendation, disability income replacement, umbrella policy threshold, long-term care timing
9Emergency Fund OptimizerMonthly expenses + job securityRecommended fund size (3/6/9/12 months), high-yield savings vs. money market vs. I-bond ladder
10Wealth Milestone TrackerAge + net worth + goalsAge-banded benchmarks, net worth percentiles, catch-up plan, estate planning checklist

Workflow

User Query
  │
  ├─ [Step 1] Classify → financial domain + life stage (20s/30s/40s/50s/60s+) + risk tolerance
  │
  ├─ [Step 2] Data retrieval:
  │   └─ Market: Yahoo Finance, Morningstar, FRED (interest rates, inflation)
  │   └─ Real estate: Zillow/Redfin (home values, rent comps)
  │   └─ Tax: IRS brackets, contribution limits
  │   └─ Rates: Bankrate (mortgage, savings, CD rates)
  │
  ├─ [Step 3] Apply quantitative models:
  │   └─ Monte Carlo simulation (retirement probability)
  │   └─ NPV analysis (buy vs. rent)
  │   └─ Debt payoff optimization (avalanche/snowball math)
  │   └─ Tax-equivalent yield comparison
  │
  ├─ [Step 4] Generate personalized plan with sensitivity analysis
  │
  └─ [Step 5] Disclaimer: not financial advice; consult a licensed professional

Output Formats

Portfolio Allocation Model

Asset ClassConservativeModerateAggressiveYour Allocation
-----------------------------------------------------------------
US Stocks30%45%60%[fill]
International Stocks10%20%30%[fill]
Bonds50%25%5%[fill]
Cash5%5%0%[fill]
Alternatives (REIT/Gold/Crypto)5%5%5%[fill]
Expected Return5-6%7-8%8-10%[calc]

Retirement Projection

AgeSavings TargetYour Projected SavingsGapAction
--------------------------------------------------------
301× salary$X$X[increase savings by Y%]
403× salary$X$X[consider backdoor Roth]
608× salary$X$X[catch-up contributions]
Retirement25× annual expenses$X$X[adjust retirement age]

Debt Payoff Comparison

StrategyPayoff DateTotal InterestMonthly Payment (fixed)Best For
------------------------------------------------------------------------
Avalanche (highest APR first)Date X$X,XXX$X,XXXMinimum interest cost
Snowball (smallest balance first)Date Y$X,XXX$X,XXXPsychological momentum
Consolidation (personal loan @ X%)Date Z$X,XXX$X,XXXSingle payment convenience

Usage Guidelines

  1. Always disclaim — this skill provides educational content, not financial advice. Include "consult a fiduciary advisor" for significant decisions.
  2. Localize — tax brackets, retirement account types, and insurance markets vary by country; adapt to user's jurisdiction.
  3. Data sensitivity — never store or transmit personal financial data; all calculations run in-context only.
  4. Conservative projections — use conservative return assumptions (5-7% real for equities, 2-3% for bonds), not best-case scenarios.
  5. Life-stage framing — advice for a 25-year-old differs fundamentally from advice for a 55-year-old.
  6. Behavioral finance — incorporate psychological elements (loss aversion, mental accounting) in explanations.

Examples

Example 1: Portfolio Review

User: "Review my portfolio: 100% S&P 500, age 35, married, 2 kids, no debt"

Output: Concentration risk flagged (no bonds, no international, no real estate); suggested allocation (70/20/10 stock/bond/international); emergency fund gap analysis; term life insurance recommendation; 529 plan start estimate for kids.

Example 2: FIRE Planning

User: "Can I retire at 45? $500K saved, save $60K/year, spend $50K/year, age 32"

Output: FIRE age projection (Monte Carlo: 42-48 range at 90% confidence), required nest egg ($1.25M at 4% rule), Coast FIRE alternative (switch to lower-paying job at 38), healthcare bridge strategy (ACA subsidies), sequence-of-returns risk mitigation.

Example 3: Buy vs. Rent

User: "Should I buy a $400K house in Austin vs. keep renting at $2,200/month?"

Output: NPV comparison over 7/15/30 years with interest rate sensitivity; mortgage breakdown (P&I, tax, insurance, HOA); opportunity cost of down payment invested in market; breakeven year analysis; rent increase assumptions vs. home appreciation.


Data Base: references/wealth_sources.json — 12 data sources, 5 asset classes, 5 retirement accounts (US), 5 life-stage milestones, 5 debt types.

Last Updated: June 2026

Free Tier: Available. This skill provides educational financial frameworks; no proprietary advisor data accessed.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-06-03 13:34 安全 安全

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