Trading Concept
Loss Aversion
The documented tendency for losses to be felt roughly twice as intensely as equivalent gains — causing traders to make irrational decisions to avoid realizing losses.
In 1979, Daniel Kahneman and Amos Tversky published "Prospect Theory: An Analysis of Decision Under Risk" in Econometrica. The central finding: a $100 loss produces roughly twice the emotional impact of a $100 gain. Losses and gains are not symmetric in the human mind. This asymmetry drives most of the bad decisions traders make.
Loss aversion explains why traders hold losing positions too long (selling would make the loss "real"), cut winning positions too early (the fear of giving back gains outweighs the potential for more), and shut off strategies during statistically normal losing streaks. A bot with a 55% win rate will have losing weeks. Loss aversion makes those weeks feel like evidence that the strategy is broken — even when the math says they are expected.
This is one reason the discipline layer exists. The gate does not feel loss. It does not panic during drawdowns. It does not override the spec because the last three trades lost money. It executes the configured rules. The human who configured those rules may want to intervene during a losing streak — and that intervention, driven by loss aversion, is statistically more likely to hurt performance than help it. The bot's indifference to pain is a feature, not a limitation.