What problem does it solve?
It bridges behavioral finance theory and quantitative trading by turning investor psychology, sentiment cycles, and cognitive biases into concrete trading signals and risk‑management rules.
Core Features & Use Cases
- Overreaction & Underreaction Analysis – Quantify momentum and reversal opportunities based on bias mechanisms such as anchoring and representativeness, with examples for China A‑share stocks.
- Cognitive‑Bias Checklist – Detect loss aversion, overconfidence, herding, and other biases using data‑driven indicators, and apply debiasing strategies to portfolio construction.
- Investor Sentiment Cycle & Composite Sentiment Indicator – Combine turnover, margin growth, fund discounts, and limit‑up counts into a single sentiment score to guide exposure adjustments.
- Behavioral Optimization of Momentum Strategies – Adjust holding periods, weight sentiment‑driven momentum, and blend cross‑sectional with time‑series signals for better performance.
- Contrarian Trading Signals – Generate buy or sell alerts when extreme fear or greed conditions are met across multiple market metrics.
Quick Start
Run the behavioral finance skill to analyze the latest China A‑share market data and suggest trading adjustments.
