Money StackInterest you can see
Learning center

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.

01 · Fundamentals

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.

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02 · Interest

Monthly compounding explained: formula and worked example

See how monthly crediting affects ending capital and why an annual rate cannot simply be multiplied by time.

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03 · Strategies

Reinvest 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.

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04 · Saving

How regular contributions change long-term capital growth

Understand how monthly deposits interact with compounding, timing, and realistic planning assumptions.

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05 · Interest

Nominal vs. effective annual rate: how to compare returns

Understand quoted annual rates, effective annual yield, compounding frequency, and like-for-like comparisons.

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06 · Risk

Inflation 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.

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07 · Costs

Fees, taxes, and net return: what remains after costs

Model recurring fees, transaction costs, and jurisdiction-specific taxes to avoid overstating expected results.

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08 · Formulas

The 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.

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09 · Planning

Base, 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.

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10 · Guide

How 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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