Understand every number in your savings plan
Ten practical guides, from first principles to model limitations. Each one connects the formula to a scenario you can reproduce in the calculator.
Simple vs. compound interest: formulas, examples, and trade-offs
Learn how simple and compound interest differ, compare both on one scenario, and see why reinvesting changes the outcome.
Read guide →02 · InterestMonthly compounding explained: formula and worked example
See how monthly crediting affects ending capital and why an annual rate cannot simply be multiplied by time.
Read guide →03 · StrategiesReinvest or withdraw interest? Comparing cash flow and growth
Compare taking interest as cash with reinvesting it, using the same assumptions and a transparent calculation model.
Read guide →04 · SavingHow regular contributions change long-term capital growth
Understand how monthly deposits interact with compounding, timing, and realistic planning assumptions.
Read guide →05 · InterestNominal vs. effective annual rate: how to compare returns
Understand quoted annual rates, effective annual yield, compounding frequency, and like-for-like comparisons.
Read guide →06 · RiskInflation and real return: measuring purchasing-power growth
Learn why a growing balance may still lose purchasing power and how to estimate real returns without false precision.
Read guide →07 · CostsFees, taxes, and net return: what remains after costs
Model recurring fees, transaction costs, and jurisdiction-specific taxes to avoid overstating expected results.
Read guide →08 · FormulasThe Rule of 72: estimate doubling time without fooling yourself
Use the Rule of 72 as a quick estimate, understand its error range, and compare it with monthly compounding.
Read guide →09 · PlanningBase, upside, and stress scenarios for a savings plan
Build three scenarios instead of one forecast and test how rates, costs, and missed contributions affect the plan.
Read guide →10 · GuideHow to use Money Stack: a guide to the model and its limits
Set up a scenario, understand the order of calculations, read every output, and recognize what the model cannot predict.
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