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Financial Health Calculator

A comprehensive Python financial planning toolkit with CEFR calculations, Monte Carlo simulations, and beautiful Plotly visualizations.

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Features

  • CEFR (Certainty-Equivalent Funded Ratio): A fundedness metric that accounts for taxes, liquidity, and concentration risk
  • Monte Carlo Simulations: Project retirement outcomes with configurable market assumptions
  • Withdrawal Strategy Lab: Compare strategies including fixed SWR, guardrails, VPW, RMD-style, and Merton optimal
  • Utility Optimization: Merton optimal spending and allocation based on lifetime utility maximization
  • Beautiful Visualizations: Interactive Plotly charts with fan charts, waterfalls, and survival curves
  • REST API: FastAPI backend for programmatic access
  • Streamlit App: User-friendly web interface

Quick Example

from fundedness import Asset, BalanceSheet, Liability, compute_cefr
from fundedness.models.assets import AccountType, LiquidityClass, ConcentrationLevel

# Define your assets
assets = [
    Asset(
        name="401(k)",
        value=500_000,
        account_type=AccountType.TAX_DEFERRED,
        liquidity_class=LiquidityClass.RETIREMENT,
        concentration_level=ConcentrationLevel.DIVERSIFIED,
    ),
]

# Define your spending
liabilities = [
    Liability(name="Living Expenses", annual_amount=50_000, is_essential=True),
]

# Calculate CEFR
result = compute_cefr(
    balance_sheet=BalanceSheet(assets=assets),
    liabilities=liabilities,
    planning_horizon=30,
)

print(f"CEFR: {result.cefr:.2f}")

Getting Started

User Guide

API Reference

License

MIT License

Disclaimer

This tool is for educational purposes only and does not constitute financial advice. Consult a qualified financial advisor for personalized recommendations.