Free planning tool

Know the economics behind your next challenge.

Turn fees, pass rates and payout assumptions into a clear cost-per-funded, payout probability and expected-value model.

No sign-upInstant resultsYour assumptions

Prop firm unit economics

Build your model

Start with realistic historical assumptions. Trade-level risk, reward and win rate can be refined later.

Your assumptions

Costs

Currency Challenge fee Reset / retry fee Retries using reset% Activation fee Other funded costs

Reset share is the percentage of failed attempts retried at the reset price instead of buying a new challenge.

Probabilities & payout

Challenge pass rate% First payout rate% Average first payout Trader profit share% Attempts in plan Average days per challenge Funded phase days

First payout rate is conditional: of all funded accounts, how many reach at least one payout?

02Lifetime payout assumptions⌄

Use unconditional reach rates: the percentage of all funded accounts expected to reach each payout.

PayoutReach rateAverage amount

#1% #2% #3% #4+%

Live results

LIFETIME MODELCalculating…

—

Expected attempts to funded—Geometric average

Expected cost per funded—Evaluation + activation

Challenge → first payout—Combined probability

Expected cost per first payout—All failed paths included

Net average first payout—After profit split

Break-even first payout—Required average amount

Estimated days to funded—Average challenge path

Estimated days to first payout—Repeated paths included

YOUR PLAN

Chance of at least one result

10 attempts

Funded account—

First payout—

Assumes attempts are independent. Copied or identical trades across accounts can make outcomes highly correlated.

FUNDED LIFETIME

Expected payout value

—

Expected payouts after split—

Activation & funded costs—

Net value per funded account—

Sensitivity check

One model, three outcomes

A good plan should not work only under optimistic assumptions.

How to read the numbers

Passing is only the first gate.

A high pass rate can still produce poor economics if funded accounts rarely reach payout. Compare the full chain, not one isolated metric.

Challenge purchase→Funded account→First payout→Lifetime payouts

Cost per funded +

Expected evaluation spend until a pass, plus activation and other funded costs. Reset usage is included as a blended retry cost.

Challenge → payout probability +

pass rate × first payout rate. A 20% pass rate and 40% funded-to-payout rate produces an 8% end-to-end probability.

Lifetime expected value +

Each payout amount is weighted by its reach probability, adjusted by profit split and costs, then multiplied by challenge pass probability.

Important statistical caution +

Small samples are noisy. Track cohorts by firm, ruleset, account size, strategy and risk level. Active accounts should not yet be counted as wins or failures.

From estimate to evidence

Track the real data behind your model.

PropGridX keeps account rules, daily results, fees, payouts and account history together—so assumptions can become measurable statistics.

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