FTMO backtesting
Backtest the FTMO rules, not just profit
A profitable strategy can still fail an FTMO evaluation. Test every trading day against the published drawdown objectives, then use Monte Carlo to see whether the same trades survive when the wins and losses arrive differently.
Traders Casa is not affiliated with or endorsed by FTMO. FTMO rules can change, so check FTMO's own Trading Objectives page before relying on any figures stated here.
FTMO backtesting means testing whether your strategy can reach the required profit target without breaching FTMO's drawdown objectives along the way. The final P&L is not enough. A strategy can make money across 200 trades yet still fail an evaluation because one bad day crosses Maximum Daily Loss or one losing sequence crosses Maximum Loss. That makes drawdown the useful thing to model alongside profitability. Recreate the relevant FTMO objectives, replay your strategy without looking ahead and track the account day by day. The question is not simply, "Did this backtest make money?" It is, "Would this exact path have survived the evaluation rules?"
The same trades can produce different evaluation outcomes when they arrive in a different order. Put several losses together near the start and you might breach a drawdown objective before later winners arrive. Spread those losses between profitable days and exactly the same set of trades might survive and reach its target. Total profit has not changed. The path has. That is why Monte Carlo is useful for FTMO backtesting: reshuffling your backtested trades lets you examine alternative sequences rather than treating one historical ordering as destiny. It cannot predict the future, but it can expose sequence risk your headline P&L hides.
Know the objectives you are testing
For FTMO's 2-Step Challenge, the published objectives at the time of writing in August 2026 specify a 10% profit target in Phase 1 and 5% in Verification. Maximum Daily Loss is 5% of initial simulated capital, recalculated daily at 00:00 CE(S)T, while Maximum Loss is a static 10% of initial simulated capital. Both phases require at least 4 trading days, with no time limit for reaching the profit target. These figures can change, so confirm every objective on FTMO's own Trading Objectives page before configuring or relying on your backtest.
For FTMO's 1-Step Challenge, the published objectives in August 2026 specify a 10% profit target, 3% Maximum Daily Loss and 10% Maximum Loss using an end-of-day trailing limit based on the highest preceding balance. There is also a Best Day Rule: your best profitable day cannot exceed 50% of your total positive days' profit. Surprisingly, one enormous winner can therefore leave you needing to continue trading until you comply rather than immediately helping you finish. No minimum trading days or time limit are specified. Check FTMO's current Trading Objectives page before relying on these figures.
Run your FTMO backtest properly
Start by choosing the FTMO evaluation you actually intend to take and copy its current objectives before touching the replay controls. Then test your normal strategy without changing risk because you know what happens next. Track the account day by day, including drawdown rather than final profit alone. Once you have a useful trade sample, reshuffle it with Monte Carlo to see how dependent your apparent success was on the historical sequence.
- 1Choose 1-Step or 2-Step and copy FTMO's current objectives from its Trading Objectives page before testing.
- 2Set your account size, position sizing and risk rules to match the evaluation you intend to simulate.
- 3Replay historical markets bar by bar without peeking ahead, skipping valid setups or changing rules after losses.
- 4Log every valid trade and track balance, floating P&L and trading days throughout the simulated evaluation.
- 5Apply the relevant daily, overall, trailing and Best Day constraints as the simulated account progresses.
- 6Run Monte Carlo on the completed trades to test how alternative win-loss sequences change drawdown and evaluation survival.
What actually breaches an FTMO evaluation
- Checking final profit only — a profitable sample can hide an earlier daily or overall drawdown breach that would already have ended the evaluation.
- Ignoring floating losses — open positions can count towards Maximum Daily Loss during the day, so balance-only testing understates your actual exposure.
- Modelling 1-Step drawdown as static — its published Maximum Loss is trailing, so your simulated risk limit can become unrealistically generous.
- Ignoring the Best Day Rule — one outsized 1-Step winner can leave your profit distribution non-compliant and require further trading.
- Trusting one trade sequence — a convenient historical ordering can survive while another arrangement of exactly the same trades breaches drawdown.
Frequently asked questions
Can you backtest an FTMO challenge?
Yes. You can simulate the relevant FTMO objectives while replaying historical markets and check whether your strategy would have reached its target without breaching the applicable limits. The important part is modelling the path day by day rather than checking final profit alone. FTMO can change its objectives, so copy the current rules from FTMO's own Trading Objectives page before starting each test.
What is the best backtesting software for FTMO?
Use software that lets you replay historical trades while testing the evaluation's risk constraints, rather than simply producing a final P&L. Traders Casa includes a prop-firm simulator and Monte Carlo on every plan, with unlimited free backtest sessions and six months of one-minute data. Basic is $8.95/month for six years. Whatever software you use, configure it from FTMO's current published objectives rather than an old summary.
How many trades should I backtest before an FTMO challenge?
There is no magic number that guarantees readiness. A handful of trades tells you very little about losing streaks or sequence risk, while a few hundred across different market conditions gives you substantially more evidence. Include favourable, difficult and volatile periods rather than chasing a particular number. Your sample should be large and varied enough for uncomfortable drawdowns to appear naturally instead of being theoretical possibilities.
Does passing a backtest mean I will pass FTMO?
No. Passing a historical simulation only shows that your strategy and execution survived that particular sample under the rules you modelled. Future market conditions, trade sequencing and your live decisions can all differ. Monte Carlo can help by showing how alternative orderings of the same trades affect drawdown, but it cannot guarantee an FTMO result. Treat backtesting as evidence about risk, not a certificate that an evaluation will pass.
Is the FTMO daily loss limit based on balance or equity?
Under FTMO's published objectives at the time of writing in August 2026, Maximum Daily Loss is recalculated each day at 00:00 CE(S)T from the balance, while open floating losses count towards the limit during the day. That means simply checking closed-trade balance can miss a breach. FTMO's wording and rules can change, so confirm the current calculation on FTMO's own Trading Objectives page rather than relying on this summary.
Test the rules before you pay the fee
Traders Casa includes a prop-firm simulator, Monte Carlo and a consistency tracker on the free plan, with unlimited backtest sessions on TradingView-powered charts. Find out how your strategy behaves under evaluation constraints first.