Modeling Fear, Greed, Stress, and Motivation in Automated Trading
Summary
The document describes a conceptual behavioral model for trading systems, representing fear, greed, motivation, stress, confidence, and activity as values that can guide decisions. It proposes using fear, stress, activity, and motivation to help decide whether to open or close positions, while greed can adjust trade size. Sensitivity and weighted fear components can be tuned to reflect risk tolerance, account drawdown, worsening losses, and margin-call exposure.
The author suggests adapting sensitivity as trading results change and adjusting the margin-related weight for leverage. The model is presented as suitable for fuzzy-logic programs and as an aid for novice traders, with a suggestion to observe its values during manual trades. However, the document provides no equations, validation, or empirical evidence that these states improve trading outcomes. Several parameter choices are explicitly subjective, including the expected recovery period, so the framework should be treated as a heuristic rather than a tested risk model.
Key ideas
- The framework represents fear, greed, stress, motivation, confidence, and activity as trading-state variables.\nIt proposes using fear and related state variables to inform trade entry, exit, or rest decisions.\nGreed is suggested as a multiplier for trade volume.\nFear weights and sensitivity can be adjusted for drawdowns, losses, leverage, and individual risk tolerance.\nThe article offers a heuristic without equations or empirical validation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.