Finance Tools / Long-term model

DCA & Compound Growth Calculator

Model an initial principal, monthly contributions, annual return and inflation locally in your browser.

Back to Converter HubChart.js browser-local model

Compound growth workspace

After the first calculation, changing a parameter reactively updates the numbers and area chart.

Inputs & assumptions

Ready for a local calculation.

No upload
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Result
Result
Result
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Calculate to see the local summary.

The model assumes contributions at month-end and converts annual return to an effective monthly rate. It is not a return guarantee.

All inputs stay in this browser tab; no account, upload endpoint or remote storage is used.

Features & quick guide

DCA & compound features

Compare principal invested with portfolio value and translate the ending balance into an inflation-adjusted real value.

3-step guide

  1. 1
    Enter the assumptions and choose an input mode.
  2. 2
    Run the local calculation and inspect metrics and the Chart.js visualization.
  3. 3
    Copy the summary or download the local text result.

Browser-only privacy

All inputs stay in this browser tab; no account, upload endpoint or remote storage is used.

Financial outputs are scenario estimates; verify material decisions with qualified professionals.

Frequently asked questions

Are contributions made at the start or end of a month?

This calculator models end-of-month contributions; different timing changes the result.

How should I read real value?

Nominal ending assets are divided by the compounded inflation factor to express purchasing power in today-like units.

Is this investment advice?

No. Return, inflation and time horizon are editable assumptions; actual market results can differ substantially.

Financial risk disclaimer

This page, its calculators, and examples are for education, research, and scenario estimation only. They are not personalized investment, trading, betting, tax, legal, or financial advice. Markets and local rules can change quickly; verify current primary information and take responsibility for your decisions. Past performance, model outputs, and simulations do not guarantee future results.