Individual skill
behavioral-finance
Behavioral finance applications: theories of overreaction and underreaction, behavioral explanations for momentum and reversal, investor sentiment cycles, cognitive-bias checklists, and debiasing quantitative strategies.
agent/src/skills/behavioral-finance/SKILL.md
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- backtesting Repository topic
- multi-agent Repository topic
- quantitative-finance Repository topic
- trading Repository topic
- ai-agent Repository topic
- algorithmic-trading Repository topic
- fintech Repository topic
- llm Repository topic
- mcp Repository topic
- python Repository topic
- finance Derived category
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# Behavioral Finance Applications
## Overview
Translate behavioral-finance theory into quantifiable trading signals and risk-control rules. Core assumption: market participants systematically deviate from rational decision-making, and these biases can be predicted and exploited.
Applicable scenarios:
- Behavioral interpretation and parameter optimization for momentum / reversal strategies
- Contrarian signals when market sentiment becomes extreme
- Debiasing mechanisms in portfolio construction
- Capturing behavior patterns specific to retail-driven China A-share markets
## Core Concepts
