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About AlgorithmicFIRE

Our Mission

Navigating the path to Financial Independence (FIRE) is often cluttered with conflicting advice and "rules of thumb" that may not hold up in modern market conditions.

Our mission is simple: to provide concise, data-driven analysis you can trust.

We believe that retirement planning should be based on rigorous math, not guesswork. We empower self-directed investors with the tools and research they need to make informed decisions about their financial future.

Our Methodology

We differ from traditional finance blogs by prioritizing quantitative analysis. Our viewpoints are rooted in long-term, diversified investment strategies (index investing) but verified through:

  • Monte Carlo Simulations: We model thousands of possible market futures to understand risk, rather than relying on simple averages.
  • Historical Backtesting: We test strategies against decades of real market data to see how they perform in various economic cycles.
  • Inflation-Adjusted ("Real") Dollars: All our tools and articles calculate in real purchasing power, ensuring you don't underestimate the impact of inflation over a 30+ year retirement.

About the Founder

Paul Dunn founded AlgorithmicFIRE to bridge the gap between complex financial engineering and personal finance. With a career spanning roles as a Principal Software Engineer (including Hewlett Packard Enterprise) and Senior Manager of Foundation Data Analytics (where he led global engineering teams at Zendesk), Paul applies the same rigorous engineering and testing standards used in large-scale, mission-critical systems to the problem of portfolio longevity.

He hopes to share decades of hard-won experience and educational material, helping others navigate the complexities of Early Retirement with confidence.


Editorial Integrity & Testing Standards

To maintain the highest level of trust and quantitative accuracy on AlgorithmicFIRE, all content and tools adhere to the following standards:

  • Data Sourcing: We source our historical market data from publicly available financial archives (for historical stock prices) and official database feeds, including the Federal Reserve Bank of St. Louis (FRED) (macroeconomic series, interest rates).
  • Simulator Verification & Code Auditing: All calculators are built in-house. Our simulation engines (SWR sweep, Sequence of Returns, tax optimizers) undergo rigorous unit testing (using pytest) to ensure mathematical correctness and eliminate rounding errors.
  • Accuracy & Model Alignment: While we do not provide personalized financial advice, our mathematical models are designed to align with standard industry methods (e.g., William Bengen's original SWR research, ACA tax brackets, IRS RMD rules). We cross-reference our calculator outputs against established financial planning benchmarks to verify computational consistency.

Contact & Support

We are here to help. If you have questions about our research, need assistance with our calculators, or have issues with your account:

  • Email: algorithmicfire@gmail.com
  • Login Issues: If you cannot log in, please check your spam folder for the verification email.

AlgorithmicFIRE LLC is a publisher of financial information, not an investment advisor. The information regarding specific securities and strategies is strictly for illustrative and educational purposes.