Systematic Rules for Financial Independence
Explore rules-based retirement math, track defensive model portfolios, and execute retirement simulators designed to mitigate drawdowns and sequence risk.
Tactical Model Portfolios
Analyze allocations with drawdown-protection mechanics (like Yale Endowment and Regime All-Weather) engineered to buffer down-markets.
Interactive Retirement Studio
Evaluate sequence risk, safe withdrawal limits, and custom strategy models. Backtest your configurations using clean, historical price data.
Compute historical withdrawal rates under variable asset allocation regimes.
Optimize conversions, minimize ACA healthcare costs, and plan early withdrawal bridges.
Quantitative Research
All Research Guides →
The AlgorithmicFIRE Curriculum Review
Our data-driven posts provide comprehensive resources to the math, the risks, and the strategies of Financial Independence/Retire Early (FIRE). In our Curriculum Review, we provide a summary of key posts to quick-start your journey. (Not all topics about which we have written are covered in this review.)
Could the Upcoming Mega IPOs Cause Substantive Price Drops Across the Public Markets?
Index funds will soon have to sell substantial holdings in order to raise the cash required to purchase shares in the upcoming IPOs of SpaceX, OpenAI, Anthropic, and others. This could cause a substantive price drop across the public markets. In this post we investigate the relative sizes of the various funds and the required cashflows to meet the demand.
Considering retiring early, but worried about healthcare (ACA) costs?
With some financial engineering, you can reduce (and possibly eliminate) the cost of ACA coverage.