Two traders can use the same setup and get opposite results. The difference is not on the chart, but in execution discipline: size, stop, timing, and post-trade review.
The mistakes that destroy an account
Risk too high
Each trade weighs too much on capital and a losing streak becomes unmanageable.
Overtrading
Too many trades in mediocre sessions increase fees, spread, and noise.
Revenge trading
After a loss, you force recovery, often with larger size and worse stops.
No journal
Without data there is no improvement, only selective memory and self-deception.
Factual example 1: impact of risk per trade
Starting capital: 10,000 euros. Losing streak: 8 consecutive trades.
The higher your unit risk, the harder recovery becomes. After -40%, getting back to breakeven needs around +67%.
Factual example 2: overtrading and hidden costs
Scenario A: 2 well-selected trades per day. Scenario B: 9 impulsive trades per day. Even with similar edge, scenario B suffers more slippage, more spread, and more execution mistakes.
More trades do not mean more profit. They often mean paying more for worse decisions.
Factual example 3: high win rate, losing account
Typical real case: 65% win rate, but average risk/reward ratio 1:0.6. If you lose 1R and win 0.6R, you can win often and still close the month negative.
Practical formula
Expectancy = (Win rate x Avg win) - (Loss rate x Avg loss)
If expectancy is below 0, the system loses even with an apparently "good" win rate.
6-point anti-loss protocol
- Fixed risk per trade (example: 0.5%-1%)
- Technical stop loss defined before entry
- Position size calculated from stop, not emotion
- Maximum daily trade count (hard cap)
- Mandatory pause after 2 consecutive losses
- Daily review with classification: plan, borderline, impulse
Cognitive biases that feed losses
Confirmation bias
You only see signals that confirm your idea, while ignoring contrary evidence.
Loss aversion
You cut profits too early and let losses run too long.
Overconfidence
After 3-4 consecutive wins, you increase size without statistical reason.
Post-trade check (facts, not feelings)
- Was this trade planned or impulsive?
- Was risk respected? (yes/no)
- Were entry and exit coherent with the plan?
- Main decision error?
- Concrete corrective action for tomorrow?
Conclusion
Accounts do not get emptied in one trade. They get emptied through a sequence of process exceptions. Reducing losses means reducing exceptions: less impulse, more protocol.