Loss Aversion in Automation

Loss aversion in automation occurs when a trading system is designed to avoid realizing losses at all costs, often by holding onto losing positions for too long. This is a manifestation of the human psychological tendency to feel the pain of a loss more intensely than the joy of an equivalent gain.

When encoded into an algorithm, this bias prevents the system from adhering to its stop-loss rules, leading to larger, more catastrophic losses. In volatile markets like crypto, this can lead to liquidation or insolvency.

To counter this, developers must ensure that risk management logic is strictly objective and independent of the developer's emotional attachment to the position. Automation should be used to enforce discipline, not to facilitate the avoidance of necessary losses.

Rigorous backtesting of exit strategies is the best way to ensure that the algorithm acts rationally, regardless of the PnL outcome.