Budgeting for Retirement

There are many free retirement calculators that predict success or failure for retirement savings, but when it comes to Roth conversions, they all recommend finding a tax advisor. I propose creating a model that will use grid search to allow variable flexibility within the model to find values that will both maximize the lifetime income and minimize the lifetime tax burden. This model will use Monte Carlo simulations to predict future market performance based on past history of the S&P 500 Index, and will use tax rules for income year 2025.

This project uses gridsearch functionality to find inflection points in the data, where tax implications change direction. This usually occurs when a subject does not withdraw enough to take advantage of the tax-free (Roth) investments (but their beneficiaries will), or they do not convert enough (or early enough) to have sufficient growth in their tax-free retirement funds to offset the tax cost of conversion