FIRE & Retirement Planning
Financial independence is mostly arithmetic: how much you need, how fast you get there, and how safely you can spend it. These tools focus on the variables you can actually control.
Choose the right calculator
FIRE Number
Target portfolio = annual spending ÷ safe withdrawal rate.
Safe Withdrawal Rate (FIRE)
Monte Carlo success rate + deterministic path for a given rate and horizon.
401k & Retirement Growth
Contributions, employer match, raises, and expected returns over time.
Roth vs Traditional IRA
After-tax balance comparison given current vs future tax rates.
HSA Contribution Optimizer
Triple tax advantage vs taxable brokerage over decades.
Compound Interest
Growth of principal + monthly contributions at a given rate.
Time to $1M
Years to reach a million given contributions and growth.
Savings Goal Date
Month and year you hit a target balance with contributions and return.
Dividend Yield & Income
Annual cash flow from shares and price; project with growth.
Dividend Reinvestment
Growth difference with vs without reinvesting dividends.
Emergency Fund & Runway
Months of coverage from current savings and burn rate.
Budget Planner
50/30/20 or custom categories, remaining, and suggestions.
True Hourly Wage
Net hourly after taxes, commute, breaks, and unreimbursed costs.
Inflation Calculator
Purchasing power today vs future; real return after inflation.
A practical sequence
- Know your real annual spending (after-tax). Use Budget Planner + True Hourly Wage if needed.
- Compute your FIRE number: annual spend ÷ 0.04 (or your chosen safe rate). Start with FIRE Number.
- Model sequence risk and success rate over your horizon with Safe Withdrawal Rate (Monte Carlo).
- Project current accounts forward: 401k Growth, Compound Interest, Time to $1M.
- Optimize the vehicle: Roth vs Traditional, HSA vs taxable brokerage.
- Protect the plan: size an Emergency Fund and understand inflation drag.
Notes on the 4% rule and Monte Carlo
The classic 4% rule comes from historical US data (Trinity study era). Monte Carlo tools here show a distribution of outcomes under assumed mean return and volatility. A 95% “success” in simulation does not guarantee safety; it means the portfolio survived the modeled paths. Sequence of returns in the first 5–10 years matters more than average return over the whole period.
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