Recency Bias
Overview
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.
Key Concepts
Overweighting recent trades, wins, or losses in decision-making. Assuming recent market conditions (trending, ranging, volatile) will continue. Performance chasing: allocating to assets that have recently performed well. Strategy abandonment: discarding a system after a short losing streak. Recency bias is strongest immediately after an emotional event.
Entry Signals
Before entering, review performance over a statistically significant sample size (50+ trades), not just the last few. Evaluate whether the current setup meets your system's criteria regardless of recent outcomes. Check whether you are drawn to an asset or strategy because of its recent performance rather than objective edge. Use systematic rules to prevent recency-driven entries.
Exit Signals
Do not abandon a strategy after a short losing streak — check whether the drawdown is within historical norms. Avoid holding positions longer than planned because 'the trend has been working'. Exit based on predetermined criteria, not on extrapolation of recent price action. Review trade journals quarterly to maintain long-term perspective.
Best Timeframes
Ongoing self-assessment; particularly important during strategy review and portfolio rebalancing
Pro Tips
Combat recency bias by maintaining detailed trading statistics over long periods — when you can see that your current drawdown is within the normal range of your system's history, you are less likely to panic and deviate. Deliberately seek out counter-examples to your current bias: if you have been bullish recently, study bear market scenarios. Time-decay your weightings — give equal importance to all data, not just the most recent.
More Topics in This Category
Confirmation Bias
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.
FOMO & Herding Behaviour
FOMO (Fear Of Missing Out) drives traders to enter positions impulsively because they see prices rising or because social media is buzzing about an asset. Herding behaviour — following the crowd — amplifies FOMO by creating social proof. Together, these biases cause buying at tops and chasing momentum that's already exhausted.
Mental Accounting
Mental accounting is the cognitive bias of treating money differently based on its source, intended use, or the mental 'account' it is assigned to — even though all money is fungible. In trading, this manifests as treating profits differently from initial capital (risking 'house money' more freely), segregating portfolio performance by position rather than total, or taking excessive risk with bonus or windfall funds.
Sunk Cost Fallacy
The sunk cost fallacy occurs when traders continue holding a losing position or investing additional capital because of the resources already committed, rather than evaluating the position on its current merits and future prospects. The time, money, and emotional energy already spent become anchors that prevent rational decision-making, leading to escalating commitment to failing trades.