FTMO charges $345 for a $100K challenge with a published pass rate around 10%. Spending that money without running your actual trades through the rule set first is how traders end up paying $1,035 for a lesson a 5-minute simulation would have taught them for free. This guide walks through exactly how to test your data against FTMO's specific rules, what the common failure patterns are, the edge cases where simulation lies, and the fix path for each failure type — so the $345 you spend is on a challenge you're actually ready to pass.
FTMO rule figures below are from FTMO's published trading objectives as of April 2026 (profit target, max drawdown, daily loss, minimum trading days, time limits). Pass rate estimates reference FTMO's own public statements and independent aggregator data — treat specific percentages as directional, not precise. Simulation logic described is the same math whether run manually in a spreadsheet or in a purpose-built journal tool.
The $345 question: Before you pay for an FTMO challenge, spend 5 minutes running your actual trades through the rules. If your data shows you'd fail on day 12 from a daily loss limit breach — that's $345 saved and a specific problem to fix before you try. The fee doesn't buy education; it confirms what the data already knows.
Why Simulate Before You Pay
FTMO's pass rate sits around 10-12% across both challenge phases per public statements and aggregator data. That means roughly 88-90% of traders who pay the fee lose it. The failures aren't random — they cluster by rule breach type.
The 4 Rules Traders Fail
- Daily loss limit breach (5%) — One bad day ends the challenge. Not a bad month. One single day. The most common failure mode by a wide margin.
- Maximum drawdown breach (10%) — Accumulated losses over multiple days cross the absolute threshold. Slower to trigger, but harder to recover from once the drawdown compounds.
- Time limit expiry (30 days) — 30 calendar days pass without hitting the 10% profit target. Usually indicates strategy-target mismatch rather than execution failure.
- Rule violation — Weekend holding, lot size breach, restricted instrument, insufficient minimum trading days. Administrative failures that are entirely preventable with rule-aware planning.
A simulator against your real trade history tells you which of these four would kill YOUR challenge — before you spend a dollar. And the answer is almost always #1: the daily loss limit, triggered by a specific day and a specific sequence of trades that are visible in the data.
FTMO Rules Quick Reference
| Rule | Phase 1 (Challenge) | Phase 2 (Verification) |
|---|---|---|
| Profit target | 10% of initial balance | 5% of initial balance |
| Daily loss limit | 5% of initial balance | 5% of initial balance |
| Max drawdown | 10% of initial balance | 10% of initial balance |
| Drawdown type | Static (from initial balance) | Static (from initial balance) |
| Min trading days | 4 days | 4 days |
| Time limit | 30 calendar days | 60 calendar days |
| Account sizes | $10K - $200K | Same as Phase 1 |
| Platforms | MT4, MT5, cTrader | Same |
Full multi-firm comparison available in the prop firm rules cheatsheet. FTMO's structure is relatively strict on the daily loss limit and relatively generous on the time limit — each firm's ruleset has different pressure points worth matching to your trading style.
How to Run the Simulation (Step by Step)
Step 1: Gather Your Data (60-90 Days Ideal)
You need at least 30 trading days of actual trade data — but 60-90 days gives dramatically better signal because it lets you test multiple non-overlapping 30-day windows rather than just one. Required fields per trade:
- Entry price, exit price, direction, lot size
- Timestamps (to calculate daily P&L aggregation)
- P&L in account currency after any broker fees
- Ideally: setup grade and instrument tag (for deeper post-analysis)
Export from your broker platform (MT4/MT5 statement, exchange CSV), journal app CSV export, or direct database query if you trade through API. Minimum: 30 days of continuous data. Better: 90 days covering at least two different volatility regimes.
Step 2: Set the Challenge Parameters
Choose the FTMO account size and apply the corresponding thresholds:
| Account | Profit Target | Daily Limit | Max Drawdown |
|---|---|---|---|
| $10,000 | $1,000 | $500 | $1,000 |
| $25,000 | $2,500 | $1,250 | $2,500 |
| $50,000 | $5,000 | $2,500 | $5,000 |
| $100,000 | $10,000 | $5,000 | $10,000 |
| $200,000 | $20,000 | $10,000 | $20,000 |
Scale your historical trade P&L to the target account size. If you've been trading a $5K account and want to simulate a $100K FTMO challenge, multiply each trade's P&L by 20x to see what the dollar impact would have been at the larger size. The percentages remain the same — a 3% drawdown is a 3% drawdown regardless of account — but the raw dollar figures scale.
Step 3: Run It Day by Day
The simulation processes each trading day in sequence. Six specific checks happen in order each day:
- Day starts: Check whether previous cumulative P&L breached any limits (should be no — we haven't failed yet if we're still running)
- Process trades: Apply each trade's P&L to the running balance in the order they occurred
- Daily loss check: Did today's aggregate losses exceed 5% of initial balance? → FAIL (daily limit)
- Running drawdown check: Did total drawdown from peak balance exceed 10%? → FAIL (max drawdown)
- Target check: Did cumulative profit reach 10%? → PASS (Phase 1 complete)
- Time check: Is this day 30? If target not reached → FAIL (time limit)
The order matters. A day that hits both the profit target AND the daily loss limit (rare but possible during high-volatility sessions) is a PASS — the target check fires before the daily limit fails out the challenge.
Step 4: Read the Results
The simulator outputs one of four results per simulation window:
- PASSED — Hit profit target without breaching any limits. Output: which day you'd pass + peak drawdown during the attempt. Lower peak drawdown = more margin for psychological variance.
- FAILED — Daily limit — Shows the exact day and the trade(s) that breached the 5% daily limit. The most actionable failure — you can see the specific trade sequence that killed the challenge and know what to fix.
- FAILED — Drawdown — Shows the cumulative loss path and which day you crossed 10%. Usually a multi-day losing streak rather than a single catastrophic day.
- FAILED — Time — Didn't hit 10% in 30 days. Usually means the strategy's win rate or R:R isn't aggressive enough for the target within the time window. Can also mean under-trading due to over-selectivity.
Step 5: Run Across Multiple Windows
Don't trust a single simulated window. Run it across at least 3 non-overlapping 30-day windows from your historical data. A strategy that passes all 3 windows has a much stronger real-world pass probability than one that passes 1 out of 3. The variance between windows is the signal you need — it tells you whether the pass depends on a specific set of market conditions or holds across conditions.
What Most Traders Discover
After running simulations across a sample of traders, four findings recur consistently.
Finding 1: Day 8-15 Is the Danger Zone
Most simulated failures happen between day 8 and day 15 of the simulation window. The pattern: trader builds 3-5% profit in the first week, then a 2-day losing streak triggers tilt, which triggers the daily loss limit on a single revenge-heavy day. The first-week profit evaporates in one session. This cluster suggests the failures aren't random — they're psychologically predictable based on how traders respond to their first meaningful drawdown within the challenge.
Finding 2: The Daily Loss Limit Is the #1 Killer
Roughly 60% of simulated failures are daily loss limit breaches — not total drawdown, not time. The 5% daily limit is the tightest structural constraint. A single bad day (which every trader has) ends the challenge instantly, before total drawdown or time limits get anywhere near their thresholds. The implication: fixing daily loss limit tolerance matters far more than fixing the other three rule categories combined.
The fix: if your worst day in the last 60 days lost more than 3% of account, you need to reduce position sizing for the challenge. Trading at 0.5-0.75% risk per trade (instead of normal 1-2%) gives buffer for bad days. The reduced profit per trade is offset by surviving the stretch to hit 10%.
Finding 3: Most Traders Pass 30-40% of Windows
Running the simulation across multiple 30-day windows (starting from day 1, day 5, day 10, etc.) shows most traders pass some windows and fail others. The pass verdict depends on which specific 30-day stretch the trader happens to trade. Typical finding: pass 30-40% of simulated windows at normal risk levels, climbing to 60-70% after the fix (reduced risk + stop rules) is applied.
This means you should budget for 2-3 challenge fees before expecting to pass — assuming your underlying strategy fits FTMO's rule framework. See prop firm pass rate data for the broader industry picture.
Finding 4: The Profit Target Is Rarely the Problem
If your trading has positive edge (profit factor > 1.2), you'll typically reach 10% within 15-25 trading days of the 30-day window — leaving buffer for bad days. The target isn't the bottleneck; the drawdown rules are. Traders who focus on "how to make 10% fast" are solving the wrong problem. The real question is "how to survive the bad days without breaching limits" — and that's answered by sizing and stop rules, not by faster profit accumulation.
Running a day-by-day simulation manually requires a spreadsheet that models FTMO's specific rule sequence — order of daily checks, static drawdown calculation, per-day aggregation, minimum trading day tracking. Building this spreadsheet takes 2-4 hours and has to be rebuilt for each firm. Trading journals with built-in prop firm simulators automate it across major firms (FTMO, Topstep, FundedNext, Apex, The5ers) — the journal comparison guide covers which ones include multi-firm simulation natively.
Fix the Gap Before Paying
If your simulation fails, here's the specific fix for each failure type:
| Failure Type | Root Cause | Fix | Time to Implement |
|---|---|---|---|
| Daily loss limit | Position sizes too large for the 5% rule | Reduce risk to 0.5-0.75% per trade. Add 2-loss daily stop rule enforced at platform level. | 1-2 weeks of practice |
| Max drawdown | Losing streaks compound without recovery windows | Reduce size after 2 consecutive losses. Mandatory break after 3% cumulative drawdown from peak. | 2-4 weeks |
| Time limit | Strategy too conservative for 10% in 30 days | Either trade more frequently (if setups exist), increase R:R targets, or choose a firm with longer windows (The5ers, FundedNext have more flexible time frameworks). | Strategy change — 4-8 weeks |
| Tilt sequence | Emotional trading after a loss blows the daily limit via revenge trades | Anti-revenge protocol: mandatory 30-min cooldown after every losing trade, enforced at platform level. | 30-60 days of habit building |
Each fix has a different time cost. Daily loss limit fixes are fast (sizing change). Tilt sequence fixes are slow (habit rebuild). Don't pay for the challenge until the relevant fix has been implemented and re-simulated successfully.
Simulate Multiple Firms (FTMO Might Not Be the Fit)
FTMO's rule structure isn't optimal for every trading style. Running the same historical data through different firm rules often reveals a better fit:
| Firm | Structural Advantage | When It Fits Better Than FTMO |
|---|---|---|
| Topstep | No daily loss limit on funded accounts | If daily limit is your primary failure mode simulated under FTMO rules |
| The5ers | Lower profit targets on scaling programs | If time limit is your issue — their progressive scaling gives more runway |
| FundedNext | Express model: single phase, 25% target | If you can handle higher targets but hate two-phase validation |
| Apex (futures) | No daily loss limit on eval, trailing drawdown only | If you trade futures and FTMO's daily limit is structurally incompatible |
Spending 10 minutes simulating your data across 3-4 firms often redirects traders to a challenge they're 2-3x more likely to pass than the firm they initially targeted. Use the prop firm calculator to model specific stats against each firm's rule structure.
3 Mistakes Traders Make Running Pre-Challenge Simulation
Mistake 1: Simulating a Single Window
Testing against only one 30-day window gives a false read. The window might happen to span a good month or a bad month. Multi-window simulation (3+ non-overlapping windows) shows the consistency of the pass verdict. A strategy that passes only 1 of 4 windows isn't 100% ready — it's 25% ready, and the live attempt has ~25% pass probability regardless of how confident the single passing window felt.
Mistake 2: Not Including All FTMO-Enforced Rules
Most simulations model daily loss, max drawdown, profit target, and time limit. They often skip the minimum-4-trading-days rule and the weekend holding restriction. Passing sim on the big four while ignoring the secondary rules produces a "pass" that fails live on an administrative violation. Build the full rule set into the sim — or manually verify each secondary rule before assuming the pass holds.
Mistake 3: Optimizing Risk Up After a Passing Sim
After sim passes at 0.5% risk: the temptation is "I'd pass at 0.5%, so at 1% I'd hit the target twice as fast." This immediately invalidates the simulation. Live trading needs to match simulated trading parameter-for-parameter. The 0.5% risk that passes sim is the 0.5% risk that goes live. Inflating post-sim turns a validated simulation into a bet that historical data doesn't support.
Who Should Skip the Pre-Challenge Simulation
Most traders benefit from simulating before paying. Specific profiles get limited value:
- Traders with fewer than 60 trading days of data. Below 60 days, simulation is too noisy to produce reliable verdicts. Any pass or fail result at that sample size is closer to coin-flip than analysis. Build more trading history first.
- Traders using a strategy that materially changed in the last 30 days. If you refactored your strategy recently, historical data from the old strategy doesn't predict performance of the new one. Run the new strategy for 30+ days first, then simulate.
- Traders who've already passed 3+ FTMO challenges. The pattern is established. Simulation is diagnostic — traders who already demonstrate they can pass don't need repeated diagnosis.
- Traders on fundamentally discretionary strategies. If your strategy relies heavily on real-time judgment that can't be reduced to systematic rules, historical trade data won't capture the live decision process. Simulation becomes an approximation, not a prediction.
- Traders where FTMO is the first trading experience. Simulation tests compatibility between existing trading and FTMO rules. If you have no existing trading to test, the problem isn't rule fit — it's that you don't have a strategy to validate. Address that first, then simulate.
The Bottom Line
Every failed FTMO challenge costs $345. Most traders who skip pre-challenge simulation fail 2-3 times before passing — that's $690-$1,035 in challenge fees to learn what a 5-minute simulation on historical data would have shown for free.
Simulation doesn't guarantee you'll pass live — psychology, regime changes, and execution differences affect real attempts in ways historical data can't model. But it does guarantee you won't pay $345 to discover a problem that was already visible in your own journal.
Three principles from this framework:
- Simulate across multiple windows. A single passing window is noise; 3+ passing windows is signal.
- Simulation is a floor, not a ceiling. Passing sim means the attempt is worth making — not that live will pass. Add 2-3% margin via lower risk to compensate for psychology the data can't predict.
- Match live parameters to the passing sim exactly. Different risk between sim and live invalidates the test.
For the companion framework — what to do if the challenge fails anyway — see the post-failure diagnosis guide. For the broader cost math across multiple firms, see the challenge-savings framework. For the full execution playbook once sim passes, the how-to-pass-FTMO guide covers live attempt mechanics.
