Crypto Profit Calculator

How Fees Eat Into Crypto Gains

Exchange trading fees are charged on the way in and again on the way out, on two different amounts. A 0.5% fee on each side costs about 1% of the position when the buy and sell prices are close together, and the two legs diverge as the price moves: at the defaults here, the 0.5% each-side fee comes to 187.50, which is 1.25% of the 15,000 put in. Fee levels differ widely between venues and by order type, so the figure worth entering is the one on the exchange's own fee schedule.

The Simple Math Behind Big Numbers

Net profit equals (sell price times units) minus (buy price times units) minus total fees. Most exchanges show gross numbers on trade history; this calculator strips fees to show true economic profit. The net (after-fee) figure is the one typically used for tax reporting, rather than the gross.

A worked example

With the defaults, units owned of 0.5, a buy price of 30,000 per unit, a sell price of 45,000 per unit and a 0.5% fee on each side, the tool returns 7,312.50.

What moves the number most

Prices move the result far more than proportionally, because profit is a difference rather than a total. At the defaults, raising Sell Price per Unit by 10% lifts net profit by 30.6%, and raising Buy Price per Unit by 10% cuts it by 20.6%. Units Owned scales everything linearly, so 10% more units is 10% more profit or loss. Fee % (each side) has the smallest effect of the four: doubling it from 0.5% to 1% costs 2.6% of the net figure here, though its weight grows as the gap between buy and sell narrows.

The formula behind this

Net profit is units times sell price, minus units times buy price, minus fees on both legs. The fee percentage is applied to the full value of each leg separately rather than to the difference, so a wider gap between buy and sell means a larger fee on the sell side. Return on investment is net profit divided by the amount put in on the buy side, which is why it reads 48.75% at the defaults rather than the 50% the price move alone would give.

Where this fits in planning

This is a "what-if" tool, not a forecast. It helps to test ideas: what happens if one of the inputs comes in higher or lower than you first assumed. Running several sets of figures shows how sensitive the result is to each input; a single set does not.