Free tool · Prop economics

Prop Firm True Cost Calculator

Go beyond the checkout price. Model what reaching a funded account could cost after failed attempts, subscriptions, resets, activation fees and refundable fees — using your own assumed pass probability.

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FundedChecker approach: this calculator does not invent a “real” pass rate for you. Your pass probability is an assumption, not a firm statistic. Tracked offer data can prefill known fields, while missing fees stay editable instead of being guessed.

Cost assumptions

Pick an offer to prefill fields we already track. You can override every number.
Modeled result

What the checkout price leaves out

Expected attempts
Expected cost to get funded
90% funding budget
Cost after refund*
Cost ÷ max-loss buffer
Break-even gross profit
Use a pass probability based on your own track record. Lower pass rates change the economics very quickly.

*“After refund” assumes you eventually qualify for the refund condition you entered. It is not the same as cash required before your first payout.

Upfront reality

Sticker-price multiple

How many times the initial checkout fee the modeled expected cost represents.

Funded economics

Illustrative payout share

Your share of the illustrative funded profit before taxes, processing fees or later restrictions.

After one payout

Modeled net

Payout share + entered refund − modeled expected cost to get funded.

Sensitivity check

How pass rate changes the cost

Same fees, different assumed pass probability.

Pass rateExpected attemptsExpected cost90% budgetCost / max-loss buffer
Why it is different

Use actual checkout price

List price and what you actually pay can differ. Enter the real checkout amount rather than hiding coupons inside a generic “discount” assumption.

Prop-specific metric

Cost vs drawdown buffer

A $100K headline account is not $100K of risk capital. We compare modeled acquisition cost with the actual maximum-loss allowance you must protect.

No fake certainty

Your probability, not ours

FundedChecker does not convert isolated industry pass-rate disclosures into a universal probability. Scenario analysis lets you see the range instead.