Investment

Crypto DCA Calculator

Buying a fixed sum at regular intervals produces an average cost that is not the average of the prices you paid.

The plan, and the price path across it

What you invest, and how often

Fixed amount bought each period, in your local currency.

How many buys, e.g. 12 monthly buys over a year.

Where the price started and ended

Coin price at the first buy.

Coin price at the last buy and for valuation.

%

Fee applied to each periodic buy.

Total Coins Bought

0.048534

Sum of coins bought across all periods.

Formula verified 13 September 2026

Current Value

1,456.03

Total coins times the end price.

Total Invested

1,200.00

Amount per period times the number of periods.

Average Cost per Coin

24,724.7

Total invested divided by total coins.

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Projection only — not investment advice; returns are not guaranteed. Read the full disclaimer ↓

Coins Accumulated Over Periods

Add your numbers to see the visual breakdown.

Estimates only — not financial, tax, or professional advice.

100% private — every number you enter is calculated in your browser and never sent to our servers.

What it calculates: Total Coins Bought, Current Value, Total Invested, Average Cost per Coin.

Updated 5 June 2026 · Transparent assumptions

The average cost sits below the average price, always

Investing a fixed amount each period buys more units when the price is down and fewer when it is up, so the quantity is weighted toward the cheaper periods. The resulting average cost per unit is the harmonic mean of the prices, which is always at or below their arithmetic mean.

The two coincide only if the price never moves. Every fluctuation, up or down, widens the gap — which is the entire mathematical case for averaging in, and it holds regardless of which direction the price ultimately went.

A real price path is not a ramp, and the difference is not small

The calculator interpolates evenly from the start price to the end price across the periods. That is a clean way to test a scenario, but no asset has ever moved that way, least of all this one.

The direction of the error is knowable though: because volatility always helps an averaging plan, a real path that wandered between the same two endpoints would have produced a lower average cost than this model shows. Treat the result as a conservative case.

A lump sum usually wins on the numbers, and that is not the point

In a market that rises more often than it falls, investing everything at the start beats spreading it out most of the time, simply because the money is exposed for longer. Studies of equity markets find this in roughly two thirds of periods.

The case for averaging in is that it is a plan someone can actually follow. A schedule removes the decision of when to buy, which is the decision most likely to be made badly during a sharp fall — and an imperfect plan followed beats an optimal one abandoned.

Every purchase made, one fee rate, and no tax

The model assumes every scheduled purchase happens on time at one fee rate, and values the whole holding at the end price. Missed contributions, a changed fee tier, or a partial sale part way through all break that.

It is also pre-tax, and a position built from many purchases has many cost basis lots. Which of them a later sale is matched against depends on the rules where you are taxed, and it can change the gain substantially.

Sources & References

Figures on this page are checked against primary, authoritative sources. Links open in a new tab.

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Investment disclaimer

Returns are assumptions, not guarantees. Actual results may vary because of market performance, taxes, fees, inflation, and timing. This is an educational projection, not investment advice.

How we calculate · Found an error? email us

Authorship & verification

Written and maintained by , a business operator who builds spreadsheet-based calculators.

What's changed (3 updates)

Published 13 September 2026

  1. Published the calculator with its formula, worked example, assumptions, limitations and a bespoke guide, and added an automated formula test suite covering it.
  2. Tested the units accumulated across a price path against an independently run loop, and the blended average cost that results.
  3. Tested that the average cost never exceeds the average price, with equality only when the price never moves.

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