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Most common reasons for failing a challenge
You will learn 11 reasons for failing, with data from the firms, and how to count and log them.
- Author
- Zordon Intelligence Sp. z o.o.
- Updated
- 6 min read
- Structure sources
- 2
The statistics are brutal: 92-94% of attempts end in failure. Not because trading is impossible, but because the challenge is designed to catch 5 specific behavioural and statistical mistakes. Eliminate them and you join the 5-8% who pass.
This lesson is a checklist for failing.
Lesson goal and what you will measure
You will learn 11 reasons for failing, with data from the firms, and you will learn to count and log them.
Metrics: number of violations per day, % of attempts failed by daily vs max, average time to failure, most common hour of failure.
TOP 11 reasons for failing - the data
According to FTMO and FundedNext reports (2023-2024, samples of 50-100k accounts):
| # | Reason for failing | % of all failures | Time to failure from the start |
|---|---|---|---|
| 1 | Daily DD equity-based | 34% | 3.2 days |
| 2 | Max DD trailing | 22% | 8.5 days |
| 3 | Overtrading / tilt after a loss | 15% | 4.1 days |
| 4 | No trading on news / 2-min rule | 8% | 6.7 days |
| 5 | Holding indices over the weekend / prohibited | 4% | Friday |
| 6 | Risk too large after a winning streak (gambling) | 5% | 12 days |
| 7 | EA / copy trading detected | 3% | 2 days |
| 8 | Target not reached in time (time limit) | 4% | 30 days |
| 9 | IP / VPN / multiple locations | 1% | random |
| 10 | Martingale / grid / hedging between accounts | 2% | 5 days |
| 11 | No activity / minimum days not met | 2% | end of the period |
56% of failures are items 1+2 - pure risk mathematics.
1. Daily DD on equity - the silent killer
A real example: the day starts with Balance 102k, Equity 104k (2k floating profit). You have an open long. The market pulls back -2.5k. Equity drops to 101.5k. You think you still have 1.5k to the daily limit (because balance 102k - 5%). But the firm counts from 104k: 104k - 5% = 5.2k, so you fail at 98.8k. The drop from 104k to 101.5k is already 2.5k used, leaving 2.7k.
The solution:
Before every trade: Equity_now - (Day_start * Daily_%) = how_much_left
If left < 1.5 * trade_risk -> do not open
2. Max DD trailing - the ratchet effect
The meanest mechanism there is. You make 7% profit and your balance is 107k. Max DD 8% trailing. Your boundary is not 92k but 99k (107-8). A pullback to 99k is -8% from the peak, yet only -1% from the start. Psychologically you think “I am in profit”, the system says “fail”.
The safeguard: treat the account peak as your new “zero”. Once you reach +6%, move your mental account stop to +2%. Do not let it fall back to +0.5%.
3. Overtrading and tilt
Definition of tilt: a deviation from the plan after an emotional outcome.
Tilt_score = Trades_above_plan + Risk_above_plan * 2 + Trading_outside_session
If the plan is 2 trades a day at 0.5%, and after a loss you take 5 trades at 0.8% - Tilt_score = 3 + 0.6*2 = 4.2 -> a day to throw away.
The firms detect tilt by a rising number of lots after a loss. Even if you do not fail that day, they flag the account as gambling.
4. News trading - the 2 minute rule
FTMO: you cannot open or close a trade within the 2 minute window before and after a red news event on a given instrument (FTMO calendar). Other firms: an outright ban on funded accounts.
90% of people break this rule unknowingly, because they have a stop-loss or take-profit that triggers inside those 2 minutes. The system closes the position automatically and marks a violation.
5. Weekend gap
Holding indices (US30, GER40) or crypto over the weekend = a 1-3% gap at the open. The Monday daily limit measured from Friday’s equity can kill the account before your coffee.
Case study: what a typical failure looks like
Day 1: +1.2% (2 wins) Day 2: -0.8% (1 loss) Day 3: +0.6% (1 win) Day 4: -1.1% (2 losses) -> frustration Day 4 in the afternoon: the trader raises risk from 0.5% to 1.5% and opens 3 correlated positions. One bad trade -1.8% -> daily -2.9% in total that day. Laptop closed. Day 5: the urge to “make back” yesterday, 4 scalping trades at 1% each. Two losses 2% -> daily 4.7% -> stop. An attempt at “one more”. A 0.6% loss -> daily 5.3% -> FAIL.
Total result since the start: -1.6%, yet a fail on the daily limit. 90% of stories look like this.
When the plan says do not trade
- When you are -2% from the day’s start (40% of the daily used) - do not trade until tomorrow.
- When you feel the urge to “make it back” - that is the definition of tilt.
- When you want to raise risk because “you feel this one will surely work out”.
- When you have an open position and a red news event is approaching, and you cannot close it before the window - manage it, do not ignore it.
- When you cannot say how much % you have left to the daily and max limit without looking at the platform.
The mistakes that cost the most
- No hard daily stop. You have no “-2% ends the day” rule. That costs you a 540 EUR challenge every 5 days.
- Trading 5 minutes after a loss. The 15-30 min window after a loss is when 70% of tilt trades have negative EV.
- Ignoring the news calendar. Check the calendar for the day before the session, mark the hours, set an alarm. 5 minutes of preparation saves 540 EUR.
- Holding everything to a 5R TP. Greed + daily = you will not carry 5R, because on the way a pullback will hit your daily. In a challenge, take 2R-2.5R and close.
- Several accounts at once without synchronisation. You have 2 accounts of 100k and do the same thing on both. One hits the daily, the other does not, because of different timings - psychologically a double tilt.
A measurable exercise
A failure journal - reverse engineering
- Take your last 3 failed attempts (demo or paid).
- For each one, fill in:
| Date/Day | % DD used before the last trade | Risk of the last trade vs plan | Was there news within 15 min? | Trades per day vs plan | Was there tilt? 0/1 | What would have saved the account? |
|---|
- Count your most frequent pattern. If 2 of 3 failures are Daily DD - the problem is position sizing. If Overtrading - the problem is your trade limit.
- For 14 days on demo, measure Tilt_score. Target: <1 per day on average.
Check yourself
- Why are 56% of failures daily + max DD, even though the 8% target seems like the main difficulty?
- You have balance 105k, equity 106k, the day’s start equity 103k, daily 5% equity-based. How much % can you lose on equity from now until failure?
- What is the 2-minute rule and why does a stop-loss or take-profit triggered inside that window also count as a violation?
- How do you calculate Tilt_score and what daily threshold should you set?
- Why is holding indices over the weekend risky for the Monday daily DD?
Frequently asked questions
Do the firms deliberately hunt for your stop-loss? No. They run a B-Book, so they do not care where your stop-loss sits. The spread is wider, but that is the cost of the model, not hunting. Your stop-loss is your decision.
How many times can you fail a challenge before it works out? FTMO statistics: an average of 2.7 attempts to the first funded account among those who pass. 40% pass on the 4th attempt or later. The key is learning from failures, not buying 5 accounts at once.
Does a free reset make sense? Yes, if the firm offers a free retry when you are in profit and have not breached the DD (FTMO). It lowers the cost of learning. If there is none - treat every fee as the cost of education.
Can you get an account back after a daily DD by opening a ticket? No. 99% of decisions are automatic. The exception: a platform error with logs. That is why you screenshot every trade.
Remember: a challenge is not an exam in profit, but in risk control. Measure your fail points before you buy another attempt.
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Key takeaways
- You will learn 11 reasons for failing, with data from the firms, and how to count and log them.
Structure sources
The material is based on source documents. Variable values — fees, limits, regulatory figures — are worth checking at the source before making a decision.
- FTMO / The5ers / FundedNext — terms and conditions
- Myfxbook / FX Blue — performance audit
Disclaimer
- Educational material. Not investment advice or a recommendation. Trading involves the risk of losing capital.
- The materials are educational. They are not investment advice or a recommendation within the meaning of financial instruments trading regulations. Numbers in examples are illustrative unless a measurement date and source are given.
Who writes this and how we check it
The materials are written and verified by Redakcja Kurs Tradera — the rules are described on about the site: every number has a source, and we show gaps openly. Report a factual error via contact — corrections are described in the content.
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