Home

Welcome to Owl – Optimal Wealth Lab

Owl is an open-source retirement-planning tool built with linear programming. Owl helps you explore and optimize long-term financial strategies such as withdrawals, contributions, Roth conversions, and legacy planning under various market assumptions.

• Use historical return data to back-test strategies.
• Run Monte Carlo simulations with stochastic models to evaluate risk.
• Build scenarios using fixed or custom return assumptions, inflation, and tax rules.
• Optimize for maximum net spending or after-tax bequest, depending on your goals.
• Incorporate tax-sensitive behavior including Roth conversions, IRMAA, and RMDs.
• Fully customize inputs: accounts, spending paths, incomes, and time-series data.

---

Quick Start

1. Launch Owl

   • Use the hosted Streamlit interface at owlplanner.streamlit.app, or
   • Run locally via Docker or directly from source.

2. Set Up Your Profile

   • Enter your age, retirement horizon, and financial accounts (taxable, traditional, Roth).
   • Add income sources such as salary or Social Security.
   • Include planned future cash flows or large one-time expenses.

3. Choose Your Assumptions

   • Select a return model: historical, stochastic, or fixed.
   • Set inflation and rate assumptions.
   • Define your spending approach: constant, rising, or “smile curve.”

4. Pick Your Optimization Goal

   • Maximize lifetime spending, or
   • Maximize after-tax bequest while maintaining desired spending levels.
   • Add optional controls (e.g., Roth conversion caps, withdrawal constraints).

5. Run the Optimization

   • Owl computes optimal withdrawals, conversions, and contribution paths.
   • Review results: spending plan, account balances, and tax projections.

6. Simulate Scenarios (Optional)

   • Use Monte Carlo simulation to test robustness.
   • Explore “what-if” cases such as low returns, high inflation, or policy changes.

7. Iterate and Refine

   • Adjust assumptions and re-run scenarios.
   • Save or export results for comparison.