While trading can become a viable source of passive income, many traders still struggle to navigate it. The majority face similar pitfalls, such as failing to properly manage risk, being too emotional, or forgetting to continually improve their trading education. In this article, the Octa brokerage brand, drawing on more than 15 years of market experience, highlights the most common behavioural mistakes that lead to trading losses and supports these insights with recent scientific research.
Three most common behavioural mistakes in trading according to Octa broker
While failure scenarios vary depending on trader psychology, experience level, and applied strategy, these three behavioural pitfalls consistently emerge as the most common drivers of poor trading performance.
1) Cutting winners short, letting losers run
A 2025 study in Finance Research Letters found that traders exhibit a strong ‘disposition effect’. They tend to close winning trades too early while holding losing positions for too long, especially when trading familiar assets or currencies. Such an approach systematically distorts the risk-reward balance. Small, frequent gains are outweighed by fewer but larger losses, leading to overall account underperformance even with a relatively high win rate.
How to avoid it – advice from Octa broker:
- define exit rules in advance: use predefined take-profit and stop-loss levels, and follow them at all times
- focus on risk-reward ratios rather than individual trade outcomes.
To reinforce this approach, consider using a trading app such as those offered by the Octa brand, which provides transparent trading conditions without hidden tricks. This ensures a fair, controlled trading environment, accurate tracking of all orders, clear performance analysis, and more informed adjustments to your trading strategy.
2) Revenge trading
The ‘Trading psychology under pressure: cognitive bias evolution in a simulated bear market’ study shows that after losses, traders often exhibit intensified loss aversion, overconfidence, and herd-driven decision-making, leading them to increase risk exposure to recover from drawdowns. This is also known as revenge trading, which typically escalates losses rather than recovering them. Position sizes increase without proper justification, decision quality deteriorates, and emotional control replaces systematic strategy. As part of a compounding effect, a single losing streak can significantly damage or wipe out account equity.
How to avoid it – advice from Octa broker:
- introduce mandatory cooldown periods after losing trades or drawdowns
- enforce fixed risk-per-trade limits regardless of recent performance.
3) Emotion-driven risk management
A 2026 study published in the Review of Behavioural Finance, based on over 349,000 retail Forex trades, found that traders systematically adjust risk based on recent outcomes. They increase leverage after profits and engage in ‘recovery trading’ after losses. Such an approach creates unstable and inconsistent risk exposure. After gains, traders overleverage and amplify downside vulnerability. After losses, they often increase position sizes to recover quickly, which accelerates drawdowns and significantly increases the probability of account wipeout
How to avoid it – advice from Octa broker:
- adhere strictly to the defined trading strategy, regardless of recent performance
- take deliberate mental resets after periods of both gains and losses to maintain emotional stability and prevent decision-making drift.
Summing up
Most traders typically fail for the same underlying reason: behavioural distortion under uncertainty. The most common pitfalls are driven by emotions that make traders abandon disciplined risk management, pursue losses recovery, or abruptly cut winning positions due to extreme fear. Avoiding these outcomes requires replacing emotional reactions with predefined operating rules.
Risk must be fixed and independent of recent performance, position sizing should remain consistent across trades, and exit logic must be determined before entry. Traders also need enforced cooling-off periods after losses or streaks of volatility to prevent impulsive decisions. Finally, a systematic review of trades – rather than outcome-based judgment – helps identify behavioural drift early.
