FTMO Drawdown Rules Explained: Daily vs Total and Why Traders Fail at the Last Step

Most traders who fail an FTMO challenge don't fail because their strategy is unprofitable. They fail because they breached a drawdown rule they thought they understood — and misunderstood by one decimal place, one open trade, or one bad morning session. FTMO drawdown rules explained in the way the rulebook actually works look nothing like the back-of-the-envelope version most applicants carry into the challenge.

Let's fix that.

The Two Rules You Must Never Confuse

FTMO enforces two separate hard limits. Breach either one and the account is terminated immediately — no appeals, no partial credit for the profit you made.

• Daily Maximum Loss (5%) — you cannot lose more than 5% of your initial account balance in a single trading day.
• Maximum Loss / Total Drawdown (10%) — the cumulative loss from the original balance can never exceed 10%.

On a $100,000 account, that's $5,000 per day and $10,000 total. The numbers feel generous. The mechanics are not.

How FTMO's Daily Drawdown Actually Works

Here is the part most traders get wrong. The daily loss limit is not measured from where your equity stood at midnight. It is measured from the higher of your starting balance or your equity high reached during that trading day.

Call it the "high-water mark within the day."

A concrete example that trips people up

Suppose you start Monday with $102,000 in equity (you've already made $2,000 profit). By 10 a.m. you've had a good morning and your equity is now $104,000. Then the afternoon goes against you.

Your daily loss allowance for Monday is 5% of $104,000 — i.e., $5,200 — measured downward from $104,000. If your equity drops to $98,800 by end of day, you've breached the rule, even though your account is still $1,200 above the original $100,000 starting balance.

You were profitable overall. The account is still terminated.

Why this matters for automated strategies

An algo that runs all day with no intraday stop is especially exposed. It can ride a profitable morning session to a new equity high, then give it all back in the afternoon — and breach the daily limit in a way that a manual trader watching a chart might have manually intervened to prevent. If your bot has no intraday drawdown kill-switch, the FTMO daily rule will eventually act as one — permanently.

How the Total (Maximum) Drawdown Works

The 10% total rule is simpler in concept but equally dangerous in practice because it is equity-based, not balance-based.

• Balance is what's in your account after closed trades.
• Equity includes your balance plus the floating P&L of any open positions.

If your balance is $100,000 and you have an open trade sitting at −$10,500, your equity is $89,500. That's a breach — even if you believe the trade will recover. FTMO monitors live equity continuously. There is no "but it's an unrealized loss" exemption.

The dangerous middle zone

After several profitable days, your balance might be $108,000. Your total drawdown limit is still measured from the original $100,000, so you have a $10,000 cushion — but you're also carrying a higher daily high-water mark. The two rules interact: growing the account fast tightens the daily rule while the total rule stays anchored to the starting line.

This is why a hot streak followed by a single bad day is more dangerous than a flat start. See our breakdown of drawdown recovery math — the arithmetic of recovering from even a 10% hole is worse than intuition suggests, and with hard cutoffs there is no recovery at all.

Why Traders Fail at the Last Step: The Verification Phase

FTMO's two-step model (Challenge → Verification) produces a counterintuitive failure pattern. The Verification phase has the same drawdown rules as the Challenge but a lower profit target (5% vs 10%). Traders who grind through the harder step often lose the easier one.

The behavioral explanation is mundane: they passed Step 1 by being aggressive, they don't change the aggression for Step 2, and the tighter cushion — because they know the hard part is behind them — causes a single oversize trade that ends everything.

The statistical explanation is just as uncomfortable. If your strategy has a 60% win rate and your position sizing was calibrated to just clear the Challenge, that same sizing will breach the drawdown limit in roughly 4 out of 10 Verification attempts purely by variance. Before paying another fee, understand the actual pass probability — our article on FTMO challenge statistics walks through the math properly.

The Edge Cases That Catch Experienced Traders

Overnight positions and the daily reset

The trading day for FTMO resets at midnight Central European Time (CET). If you hold a position overnight and it gaps against you at the open, that loss counts against the new day's 5% limit from the moment it's realized at the open — not against yesterday's. Depending on when you opened the trade and where it gapped, you could eat most of your daily allowance in the first seconds of a new session.

News event spikes

An algo trading during NFP or FOMC with normal position size can see a 1–2% adverse spike in seconds. On a $100,000 account, a 1% spike is $1,000. If you had three positions open at 2R each, you're looking at $6,000 — over the daily limit before you can close anything. Many strategies that look clean in a backtest never had genuine tick-level spread and slippage modeled during high-volatility events.

Swap and commission charges

Positions held over the rollover window incur swap charges. Those charges hit your equity immediately. On multiple large forex lots held overnight, swap can be several hundred dollars — which counts toward both your daily and total drawdown. This is almost never modeled in backtests, and it can erode the remaining daily buffer when you're already close to the limit.

Position sizing errors are a common root cause here. The Kelly Criterion's known weaknesses are well-documented; in a hard-cutoff environment like FTMO, even a fractional-Kelly approach needs a prop-firm-specific overlay that accounts for the daily limit.

How to Check Your Strategy Before You Pay the Fee

The honest sequence before attempting any funded challenge:

1. Know your strategy's worst historical daily drawdown. Not average — worst. If your backtest shows a single day where equity dropped 4.8%, you have almost no margin for slippage, swap, or an adverse gap before you breach the 5% rule.
2. Run a Monte Carlo simulation over your trade history. You need to know the distribution of worst-day outcomes, not just the average. Check out the Monte Carlo Trade Simulator to do this for free.
3. Simulate the challenge rules explicitly. The Prop Firm Challenge Simulator applies the exact daily and total limits to your trade sequence so you can see breach probability before risking real fees.
4. Read the Prop Firm Pass Plan — it covers position sizing and daily kill-switch logic specifically for funded-account environments.

If you're also trying to verify that the underlying strategy has genuine statistical edge and isn't just a backtest artefact, run it through QuantDojo's quantcheck tool — free, no code required, gives you an overfitting verdict in minutes. Knowing your strategy is real is step zero; knowing it will survive prop-firm rules is step one.

For a broader look at which firms are worth the fee in the first place, the honest prop firm comparison is a good starting point before you commit to any specific program.

A Sizing Framework That Accounts for Both Limits

The interaction of the two rules implies a specific position sizing ceiling. On a $100,000 account:

• Hard daily stop: $5,000
• Recommended daily risk budget: 2–2.5% ($2,000–$2,500) to leave buffer for slippage, swaps, and adverse gaps.
• Maximum concurrent risk: If you risk 1% per trade, never hold more than 2 open positions simultaneously without an account-level stop.
• Daily kill-switch: Automate a hard close-all at −2.5% equity decline from the day's equity high. Let the rule be mechanical, not discretionary.

This is conservative by design. The risk of ruin formula makes clear that the probability of hitting a hard stop is never zero — and in a prop-firm context, hitting that stop means permanent loss of the account, not just a bad day.

Frequently Asked Questions

Does FTMO calculate the daily drawdown from the account balance or account equity?

From equity — specifically from the intraday equity high. If your equity reaches $104,000 at any point during the day, the 5% daily limit applies from $104,000 downward, regardless of what your closed-trade balance shows. Open positions count in full.

Can I lose up to 5% every single day and still pass?

No. The total drawdown limit of 10% would be breached within two such days. In practice, the two limits interact: sustained daily losses erode your total buffer fast, and a single bad morning after a profitable run can tighten the daily allowance more than traders expect.

Does FTMO monitor drawdown in real time or at end of day?

Real time, continuously. The moment your live equity — including all open floating losses — breaches either limit, the account is flagged and closed. There is no end-of-day reconciliation. This is why an open position that moves sharply against you can terminate an account even if you would have manually closed it within minutes.

The Honest Bottom Line

FTMO's drawdown rules are not designed to be tricky. They are designed to protect the firm's capital — which is a completely legitimate goal. But the mechanics diverge from the plain-English summary in ways that consistently catch good traders off guard: equity-based measurement, intraday high-water marks, real-time monitoring, and the interaction between the two limits during a profitable run.

A profitable strategy that ignores these mechanics is not ready for a funded account. Simulate first, understand the exact rules second, size appropriately third. In that order.

Nothing in this article is financial advice — it's a technical breakdown of publicly available prop-firm rules so you can make an informed decision before spending real money on a challenge fee.