Building a Flexible Retirement Simulator with Python
Hi everyone! ๐
I created a retirement simulation using Python โ with a big assist from ChatGPT. Itโs a more flexible version than most retirement calculators, designed to give probabilities for retiring safely rather than a single pass/fail number.
Itโs based on a Monte Carlo simulation with a t-distribution, which is often used in financial models to give more realistic results under volatile conditions.
I was inspired by conversations about the future of the world economy given recent geopolitical developments. This is why I created inputs for different scenarios including deciding each assetsโ return rate and introducing shocks in specified years - features missing in many of the existing tools.
๐งฎ Features
The simulation includes some powerful customization options:
- Debt inputs (house, credit card, student loan)
- Age-based changes in spending and income
- Investment withdrawals and tax impacts
- Shocks to simulate unexpected events at critical points
- Custom portfolio estimates and expected returns
Right now, the simulation outputs graphs of your:
- Median scenario
- Top 25% optimistic scenario
- Bottom 25% pessimistic scenario
๐ ๏ธ How to Run It
This was a fun little project to learn Python using generative AI. Currently, itโs available as a script, but I hope to build a browser-based version in the future.
๐ Resources
- ๐ Python file on GitHub
- ๐ User Manual (PDF)
๐งญ Compare With Other Tools
Here are some solid alternatives for comparison:
- Fidelity Retirement Calculator
- Model Investing Simulator
- Monte Carlo Simulation โ A web-based Monte Carlo simulation with fewer required inputs than my tool.
Let me know what you think or if you have suggestions for improvement!