FTMO Futures Pricing: Model Months and Resets, Not One Fee

Current canonical subscription and reset matrix

The values below are rendered from the reviewed launch catalog. None of them is duplicated in this article's source text. A source change updates the review surface and raises an editorial drift warning; it does not silently rewrite the verdict.

Reviewed catalog snapshot: checked Sep 17, 2026; no amount is stored in article prose.

Build four cost scenarios before checkout

A useful comparison includes four paths rather than one optimistic forecast:

1. Pass inside the first billing cycle: one subscription plus taxes and any optional tooling.
2. Pass after several cycles: one subscription charge for every active billing period.
3. Breach and reset: charges already paid plus the selected reset and later billing cycles.
4. No eligible payout: all paid subscriptions and resets remain cost; no projected reward is netted against them.

Keep the scenario probabilities outside the price component. They come from the trader's own observed history and assumptions, not from FTMO's checkout page. If the history is too small or unreconciled, show the four outcomes without assigning probabilities.

Worked 50K sensitivity: one extra cycle changes the winner

Using the reviewed 50K canonical prices and excluding taxes plus optional platform or data costs, the arithmetic starts as follows. These are cost paths, not pass-rate predictions.

GROWTH is 20 lower on the initial 50K card, but two GROWTH cycles cost more than one PRO cycle. The cheaper program therefore stops being cheaper if its tighter total floor or consistency ceiling adds a cycle that the same history would avoid on PRO. The reverse applies when PRO's hard daily limit causes a reset that GROWTH would not.

Expected cost needs an explicit denominator

For a set of mutually exclusive scenarios, expected cost is the sum of each scenario cost multiplied by its stated probability. The probabilities must add to 100%, and the source of each estimate must be visible. A personal historical rate can inform the model; an industry pass-rate headline cannot be inserted as if it described this trader and program.

Do not mix attempts with traders. One trader can buy multiple subscriptions or resets. Do not call the expected value a forecast unless the assumptions are supported and stable. It is a sensitivity tool: change billing cycles to eligibility, breach frequency, reset choice, and payout eligibility to see which assumption controls the decision.

The market-wide hidden-cost guide expands the cost inventory. This page stays narrow: the exact FTMO Futures PRO and GROWTH paths.

Use a sensitivity grid before assigning probabilities

Start with a grid whose rows are paid cycles and whose columns are reset count. This shows the cost surface without pretending the trader's future is known. Only after a reconciled history has been replayed should a probability-weighted view be added.

At minimum, preserve plan, account size, price version, number of billing charges, resets, tax assumption, optional costs, and whether a payout-eligible state was ever reached. That record makes it possible to update one price without rewriting the scenario logic.

A reset is a new decision, not a refund of the old attempt

A reset can be cheaper than another full subscription charge while still increasing total spend. The failed attempt remains sunk cost. Before resetting, rerun the history and identify the first binding rule. If the same session pattern would breach again, a discounted reset does not repair the mismatch.

Compare three options at the decision date: reset the same plan, start the other FTMO Futures plan, or stop and test a different program. Preserve the failed account's rule state so the review is based on what happened rather than on memory.

The rule explainer distinguishes a hard breach from a temporary pause and a consistency delay. Only a hard failure creates a reset decision; slower eligibility can create another subscription cycle without a reset.

Price and fit must use the same account scope

Do not compare a PRO 50K subscription with a GROWTH 100K rule set or a competitor's promotional 25K entry. Hold account label, region, evaluation stage, and required platform scope constant. Then compare cost alongside the rules that generate additional cycles.

Account size is not risk capital. It is a program label attached to target, maximum-loss distance, daily rules, and contract limits. A larger label can still provide a tighter usable buffer per required unit of target.

The exact plan comparison keeps the 50K evaluation constant so the price difference cannot hide a rule-scope difference.

When a lower monthly amount loses

GROWTH can cost more in an individual scenario when its smaller total floor or tighter consistency condition creates an extra billing cycle that PRO would not require. PRO can cost more when the history repeatedly touches its hard daily-loss rule while remaining above GROWTH's total floor.

Those are conditional statements, not population findings. To choose honestly, replay the same eligible sessions against both programs, record whether the outcome is pass-ready, delayed, paused, or breached, and then attach the current canonical price to each resulting path.

Payout economics belong after eligibility

Do not subtract a theoretical payout from attempt cost merely because the program advertises a split. First establish that the simulated-funded account reached the required qualifying days, day thresholds, request condition, and cap. Then model the eligible amount. Processing and approval remain separate from eligibility.

The payout-rules guide supplies that second-stage calculation. Keeping it separate prevents an optimistic reward assumption from making every subscription path look profitable.