Confirmation bias is the tendency to search for, interpret, and remember information that confirms your existing beliefs while ignoring contradictory evidence. In trading, this means once you form a bullish or bearish view, you unconsciously filter information to support your position — ignoring warning signs and overweighting supportive data.
Selective attention: focusing only on supporting data/indicators. Interpretation bias: ambiguous data interpreted as supporting your view. Memory bias: remembering trades that confirm your system, forgetting those that don't. Echo chambers: following only analysts who agree with your view.
Actively look for reasons your trade is WRONG. Assign a specific 'Devil's Advocate' analysis before every trade — list 3 reasons the opposite direction could play out. Track your hit rate on bullish vs. bearish calls — a skew suggests strong directional bias.
After entering a trade, spend 2 minutes listing evidence against your position. Review losing trades to identify instances where warning signs were present but ignored. Seek out contrary analysis regularly.
Before every trade entry and during position management
The best traders are skilled at holding two contradictory views simultaneously — they know what would make their trade work AND what would make it fail. This dual perspective prevents confirmation bias from creating blind spots.
The overconfidence effect causes traders to overestimate their knowledge, skill, and ability to predict market outcomes. After a winning streak, traders often increase position sizes, ignore their rules, and take trades that don't meet their criteria — believing they have a 'hot hand'. Overconfidence typically precedes the largest drawdowns in a trader's career.
Loss aversion, a cornerstone of Prospect Theory developed by Kahneman and Tversky, states that the psychological pain of losing is approximately twice as powerful as the pleasure of an equivalent gain. In trading, this manifests as: holding losers too long (hoping they'll come back), cutting winners too short (fear of giving back gains), and avoiding trades after recent losses.
The disposition effect describes the well-documented tendency of traders to sell winning positions too early to lock in profits while holding losing positions too long in the hope that they will recover. This behaviour, rooted in loss aversion and mental accounting, systematically reduces profitability by cutting winners short and letting losers run — the exact opposite of what profitable trading requires.
Recency bias is the tendency to overweight recent events and outcomes when making decisions, while underweighting longer-term data. In trading, this manifests as assuming recent market conditions will persist indefinitely — expecting further gains after a rally or further losses after a crash. Recency bias creates a dangerous feedback loop where traders chase recent performance rather than evaluating current probabilities objectively.