Category
Trading biases
Explore insights about confirmation bias, loss aversion, anchoring, recency bias, narrative attachment, outcome bias, and distorted interpretations that quietly bend trade execution.
Category
Explore insights about confirmation bias, loss aversion, anchoring, recency bias, narrative attachment, outcome bias, and distorted interpretations that quietly bend trade execution.
This insight explains how the first interpretation of a trade can become a mental anchor that biases management and ongoing analysis. The problem is not starting with an idea. The problem is allowing the first idea to remain central after price action has already provided enough reason to weaken, revise, or abandon it.
This insight explains how outcome bias distorts review by making winners look smarter than they were and losers look worse than they deserved. The problem is not caring about results. The problem is allowing the result to overrule the quality of the process that produced it.
This insight explains how loss aversion after a stop can block a valid re-entry even when the structure has rebuilt cleanly. The problem is not healthy caution after a loss. The problem is allowing the need to avoid another immediate loss to outweigh the logic of the renewed setup.
This insight explains how a trader can become emotionally attached to a market narrative and begin protecting that story from contradictory evidence. The problem is not building a coherent view. The problem is when coherence becomes attachment and the story starts to matter more than what price is now communicating.
This insight explains how recency bias after one failed breakout can distort the next breakout decision by giving too much authority to the most recent example. The problem is not learning from failure. The problem is letting one fresh failure outweigh the broader structure and probability of the next setup.
This insight explains how confirmation bias makes the trader preserve an existing market view by giving more weight to supportive information and quietly discounting conflicting signals. The problem is not having a thesis. The problem is refusing to let new data change the thesis when the market is no longer supporting it.