Flexible Retirement Planner Support Forum

Glad it worked and thanks for following up to help out others with the same issue.

Thanks for the update. Just so anyone who's following this will know, what version of Java are you using?

All amounts shown in the program are in today's dollars, including the portfolio value bands.

When you hit run or run all on the main window, the simulation is run with 10,000 iterations. When you're using sensitivity analysis, each cell in the heat map represents a full run of the simulation using the number of iterations specified in the sensitivity settings window. And if it does run 10,0...

I think what you're seeing is do to rounding. The number in parenthesis () in that column of the detailed view is the number of failures. If it's not zero, it means there were cases in which the simulation ran out of money that year. So even though it's showing a probability of success of 100%, it's...

The planner is a little bit US centric for taxes, but the mechanisms it uses are pretty generic and it's likely you'd be able to adjust things to at least somewhat account for the tax situations in other countries. Keep in mind that the tax model that the planner uses is intentionally "low resolutio...

I'm happy to help out with any questions you have about how to run the planner.

I do have to add the caveat that I do not offer any financial planning or investing advice whatsoever and nothing I say or post should be understood as such.

Wow. Very good catch. I made this change recently to avoid confusion since the original behavior was somewhat counter-intuitive. Thanks for pointing this out so this thread stays current. From the release notes (Program Menu bar, Help->Release Notes...) 01/14/2020 04.03.02 Updated embedded jave runt...

Taylor, Unfortunately, this latest release was mostly just maintenance stuff along with the changes for to support the SECURE Act, so I didn't get to your suggestion for floating start and end years. At this point, I'm mostly in maintenance mode with this code and don't have plans for new functional...

Got it. This is not something that a Monte Carlo simulation can handle well. The reason is that the Monte Carlo method attempts to optimize a set of stochastically varying inputs to find a result that yields a very high probability of success (say 90% or more). Optimizing with a goal to have a zero ...