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Would You Pass FTMO in 2026? Simulate Before You Pay

An FTMO replay can test whether one fully evidenced historical path would have survived one exact program version. Choose 1-Step or 2-Step, freeze the rule and strategy versions, replay equity events in order, and preserve every unknown. The result is a contract-fit diagnosis, not a promise about the next attempt.

Quick Answer

Choose the exact FTMO program and phase, reconcile trade and intraday-equity evidence, then replay every event against the dated rules. Report the first binding rule, minimum buffer, incomplete objectives and missing evidence. Repeat on untouched periods before purchase; never turn a historical completion into a future pass probability.

Choose the exact FTMO challenge before replaying your trades

Compare FTMO 1-Step and 2-Step at the same global/default $100K first evaluation stage. Check the current rules, cost, platform and official source before replaying your own history.

GLOBAL · $100K · evaluation 1
Exact program facts for the normalized comparison scope
ProgramPriceTargetDaily lossMax lossMinimum daysPayoutPlatformsRestrictionsActions
1-Step ChallengeFTMOCheck priceSee current checkout price10%3%10% · EOD trailing—Reward request from day 14 after the first funded tradeMT4, MT5, cTrader, TradingViewBest-day limit 50%FTMO
2-Step ChallengeFTMOCheck price€54010%5%10% · Static4 trading daysReward request from day 14 after the first funded tradeMT4, MT5, cTrader, TradingViewNo additional restrictions in this scopeFTMO
Challenge replay · pass/fail evidence
Rule-fit replay for funded challenges

See where your challenge would fail.

Replay closed trades and see the first challenge rule your history would break.

Test my trades vs rules →
Prop firm simulator preview

A replay can answer “Would this exact historical sequence have survived this exact FTMO program version?” It cannot promise that you will pass a future attempt. Choose 1-Step or 2-Step first, freeze the rule snapshot and your strategy version, replay equity events in order, and label missing intraday evidence as unknown. If the same process survives several untouched periods with usable buffers, purchase risk becomes more informed—not guaranteed.

This guide covers FTMO’s CFD evaluation routes. FTMO Futures launched on September 17, 2026 as a separate product family with Growth and Pro routes; do not apply this CFD replay configuration to a futures account.

The comparison above holds region, $100K simulated account size and first evaluation stage constant. Start with the exact program rather than a firm-wide average, because 1-Step and 2-Step use materially different loss-floor and completion mechanics.

What the Pre-Purchase Test Can—and Cannot—Prove

A useful simulation is a counterfactual audit. It takes trades you actually placed and asks what the selected rule engine would have done at each timestamp. It can reveal a daily equity breach, a static or trailing loss-floor breach, an incomplete objective, a concentration condition, or insufficient evidence. The result belongs to that program version, account scope, strategy version, and historical window.

Replay can supportReplay cannot support
Whether a recorded event path crossed the selected program’s limitsYour probability of passing the next live attempt
The first binding rule and minimum recorded bufferUnrecorded intraday equity, spread, slippage, swaps, or behavior
Whether the objective completed before a terminal breachA universal “ready after N trades” threshold
How the same frozen strategy behaves under multiple exact contractsA brand-level winner or a claim that one firm is easiest for everyone

For a compact view of exact provider terminology before you configure the test, use the prop-firm rules reference. Treat the current FTMO dashboard and agreement as controlling at purchase and phase transition.

Step 1: Choose the Exact FTMO Contract

“FTMO rules” is not a single configuration. Record the exact program, phase, region, simulated account size, platform or account type, and checked date. FTMO’s current public CFD objectives distinguish these first-stage mechanics:

  • 1-Step: one evaluation phase, a daily-equity rule, an end-of-day trailing maximum-loss floor, and a Best Day completion condition.
  • 2-Step: a Challenge followed by Verification, a daily-equity rule, a static maximum-loss floor, and minimum trading days in each evaluation phase.
  • Both: no maximum evaluation time in the current public CFD rules. The old 30-day and 60-day countdowns are obsolete.

The exact percentages, current fee, supported platforms, payout timing, and verified date belong to the canonical component above. If a value shows Not verified, stop and check the official contract; do not fill the gap from memory.

Step 2: Build Replay-Grade Evidence

Closed-trade P&L alone may be insufficient. FTMO’s Maximum Daily Loss uses equity, including open positions, swaps, and commissions, across a CE(S)T daily boundary. A spreadsheet that only sums end-of-day closed trades can miss an intraday violation and return a false pass.

Freeze one strategy version and collect:

  • Account and source identity, with no mixed accounts or reset periods.
  • Entry and exit timestamps, direction, quantity, instrument, and execution IDs.
  • Realized P&L, commissions, swaps, and funding where relevant.
  • Intraday equity observations or enough execution detail to reconstruct open P&L at each rule check.
  • Trading-day boundaries in the program’s required timezone.
  • The exact setup/risk version that was active for every included trade.

Reconcile the source before scaling anything. Missing fees, duplicated partial closes, mixed currencies, or timezone drift can move the first breach. If you need to cap risk before a new replay, the risk-per-trade framework shows how to define a testable policy without pretending one percentage fits every strategy.

Step 3: Replay the Event Order, Not Just Daily Totals

  1. Initialize the exact phase. Do not carry balance, days, or loss-floor state from Challenge into Verification or from an evaluation into the later account.
  2. Sort every relevant event. Entries, exits, partials, commissions, swaps, and equity marks must use one normalized timeline.
  3. Apply the daily boundary. Calculate the active daily-loss limit from the program definition and the correct CE(S)T reset state.
  4. Update equity after each event. Test the daily limit and the correct static or end-of-day trailing maximum-loss floor.
  5. Model completion conditions. Profit objective, minimum trading days, Best Day, and closed-position requirements are separate from terminal breaches.
  6. Stop impossible branches. Once the path violates a terminal rule, later historical trades no longer belong to that counterfactual account state.

Order matters. A profitable close later in the day cannot erase an earlier equity breach. Reaching a profit target does not automatically complete a phase if another objective remains unsatisfied or positions are still open. The simulation must use the provider’s consequence, not a convenient pass/fail shortcut.

Do not invent missing intraday equity. If the file contains only one daily net result, report “daily-loss test unavailable.” That is a valid diagnostic output. It is better than a clean-looking pass built on evidence that never observed the relevant rule.

Step 4: Read the Result as a State, Not a Prediction

ResultWhat it meansNext action
Completed in replayThis historical path met the modeled objectives before a breach.Inspect buffers, then repeat on untouched periods.
Survived, objective incompleteNo modeled breach, but the selected phase did not complete.Do not call it a failure or a pass; identify the unfinished condition.
Daily-loss breachRecorded equity crossed the active daily limit.Inspect the exact event, open exposure, timezone, and cost inputs.
Maximum-loss breachEquity crossed the selected static or trailing floor.Find the first crossing and the preceding concentration path.
Completion condition pendingTarget may be reached, but days, Best Day, closure, or review remains unresolved.Continue only within the valid state; do not force a pass.
Insufficient evidenceThe required equity, cost, identity, or timing evidence is missing.Collect the missing surface or narrow the claim.

The most useful outputs are the first binding constraint and the minimum buffer—not a made-up pass probability. A path that clears a floor by a tiny amount is operationally different from one with meaningful room, even if both receive the same historical completion label.

Step 5: Repeat Without Cherry-Picking

One good month is not a probability model. Select several non-overlapping periods before looking at their outcomes, keep the strategy and rule snapshot fixed, and report every result. Include different observed volatility and trading-frequency conditions if the same strategy version was actually active.

There is no universal minimum of 30, 60, or 90 days and no defensible conversion from “three passing windows” to a future pass rate. More evidence helps only when it is comparable. If the strategy changed, start a new version; if a period lacks required intraday data, mark that test incomplete rather than borrowing confidence from another period.

Where Even a Correct Replay Stops

A deterministic rule replay is strongest at contract compatibility and weakest at unobserved future behavior. It does not know how you will react to purchase pressure, whether spreads and slippage will match the historical venue, whether the live regime will resemble the sample, or whether the provider will change rules before purchase.

  • Execution gap: compare the evaluation platform’s current costs and execution conditions with the historical source.
  • Behavior gap: define pre-trade risk, daily stop, and allowed setups before purchase; do not optimize them after seeing each failed window.
  • Contract gap: snapshot the current program at purchase and repeat the rule validation at every phase change.
  • Evidence gap: a replay without open-equity information cannot certify an equity-based daily rule.

Fix the First Binding Rule—Then Retest

Do not respond to a breach by shrinking every trade until the old period passes. That is in-sample optimization. Diagnose the event and decide whether the proposed control belongs to the strategy:

  • If exposure clusters across correlated instruments, test an account-level open-risk cap.
  • If a single session produces the daily breach, test a session stop or setup gate.
  • If the maximum-loss floor binds across ordinary variance, the contract may be a poor fit for this strategy.
  • If the objective remains incomplete without a breach, do not manufacture urgency; current CFD evaluations have no maximum completion time.
  • If the result depends on one outlier day, review concentration and the exact program’s completion conditions.

Version the change, practice it prospectively, and test it on evidence not used to design the fix. The post-failure diagnosis guide uses the same first-binding-rule discipline after a real attempt.

Run the Full FTMO Evidence Cycle in TSB

TSB’s advantage is not a decorative pass/fail badge. The Prop Firm Challenge Tracker owns the exact account, program, phase, start balance, live objectives, and remaining buffers. The Retrospective Backtester replays a frozen setup version against owned-account evidence. AI Coach then routes the result through data quality, plan compliance, setup risk, market regime, rule testing, and setup decay, linking supported findings back to the underlying trades.

TSB has processed 600K+ imported trades across its import history, and the source registry recognizes 332 exact broker, exchange, platform, and prop-export profiles. Those figures mean imported trades and recognized routes—not users, universal compatibility, or trades analyzed by Coach. Verify your exact route and reconcile a sample before asking personalized questions.

Before purchase

Snapshot the exact FTMO program, import reconciled evidence, replay untouched windows, and identify the binding rule plus buffer.

During the attempt

Track the live phase and rule state, use Coach to investigate supported patterns, and turn the highest-evidence issue into Current Focus.

Track the exact FTMO phase Replay a frozen strategy version Turn the result into Current Focus

Bottom Line

A good FTMO simulation does not say you are destined to pass. It tells you whether one exact, fully evidenced historical path would have completed one exact program version; where it first failed; and how much recorded room remained. That is enough to prevent a blind purchase and focus practice on the real constraint.

Choose the program, freeze the evidence, replay every rule in order, repeat on untouched periods, and preserve unknowns. If you proceed, use the rules-first FTMO execution plan without changing the parameters that earned the replay result.

Disclosure: Trader’s Second Brain is our product. It can replay reconciled trade evidence against a reviewed FTMO rule set, but FTMO’s current agreement and Account MetriX control the live account. We rechecked the linked CFD rules and TSB workflow on September 22, 2026. See our editorial methodology.

Igor Manuilov
Written and reviewed by
Igor Manuilov
Founder of Trader's Second Brain · Trader since 2014
Editorial accountability

Trader since 2014. Built Trader's Second Brain to make execution review more evidence-based and less dependent on memory, scattered spreadsheets, or vague journaling.

Challenge replay · pass/fail evidence
Rule-fit replay for funded challenges

Test the challenge against your own trades.

Replay closed trades and see the first challenge rule your history would break.

Test my trades vs rules →
Prop firm simulator preview

Frequently Asked Questions

Quick answers to the most common questions about Would You Pass FTMO?.

A defensible simulator freezes the exact program version, phase and account scope, then replays entries, exits, partials, costs and equity marks in timestamp order. It applies the provider's daily boundary, loss floors and completion conditions, stops impossible branches after a terminal breach, and reports the first binding rule plus missing evidence rather than forcing every path into pass or fail.

It can be exact about a fully evidenced historical counterfactual, but it cannot predict a future attempt. Missing intraday equity, execution differences, changed rules, a new market regime or changed trader behavior can change the outcome. Treat the result as evidence about contract compatibility and the observed path—not as a pass probability or guarantee.

Select 1-Step or 2-Step before the replay because their loss-floor and completion mechanics differ. The server-rendered FTMO comparison owns current targets, daily and maximum loss, minimum days, platforms, payout timing, restrictions and verified dates. The replay must also use the correct phase, CE(S)T daily boundary, equity inputs and provider-defined consequence for each rule.

Treat the first binding rule as a diagnosis, not a permanent verdict. Check whether the breach reflects a data error, program-version mismatch, correlated exposure, a session-level concentration or ordinary variance that makes the contract a poor fit. Version any change, practice it prospectively and retest on evidence that was not used to design the fix.

Yes, but compare exact programs rather than brands. Hold region, account size, stage, strategy version and evidence window constant; then apply each program's own event order and consequences. A historical path can fit one contract better than another without proving that either firm is easier for every trader.

There is no universal number of days or trades that makes a replay predictive. You need enough comparable evidence to observe every rule the claim depends on, including intraday equity for equity-based limits, plus untouched periods for out-of-sample checks. If the strategy changed or a required surface is missing, start a new version or mark the result incomplete.