behavioral-finance

Translate behavioral-finance theory into quantifiable trading signals for China A-share investors.

30.4k|4.9k|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/HKUDS/Vibe-Trading --skill behavioral-finance
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: behavioral-finance
Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/behavioral-finance
Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill behavioral-finance

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Institutionalizing behavioral finance insights is difficult because traders often cannot translate bias narratives, sentiment cycles, and overreaction/reversion theory into precise, actionable strategies for China A-share markets, leaving momentum and contrarian systems uncalibrated.

Core Features & Use Cases

  • Behavioral signal translation: Converts overreaction and underreaction narratives, such as SUE surprises, RSI extremes, and turnover anomalies, into deterministic entry and exit rules.
  • Sentiment cycle diagnostics: Measures fear-to-euphoria phases using turnover, margin financing, fund discounts, and limit-up/down counts to guide exposure shifts and contrarian alerts.
  • Bias-aware risk controls: Enforces cognitive-bias checklists, disposition-effect tracking, and attention-weighted momentum adjustments to rebalance holding periods and guard against overconfidence.

Quick Start

Ask the skill to analyze current retail sentiment and suggest bias-adjusted momentum or contrarian adjustments for your China A-share exposure.

Frequently Asked Questions about behavioral-finance

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I translate behavioral biases into quantifiable trading signals for China A-shares?

Behavioral signal translation converts overreaction narratives like SUE surprises, RSI extremes, and turnover anomalies into deterministic entry and exit rules calibrated specifically for China A-share market data.

What is sentiment cycle tracking and how does it guide contrarian trading adjustments?

Sentiment cycle tracking measures fear-to-euphoria phases using turnover, margin financing, fund discounts, and limit-up/down counts to guide exposure shifts and trigger contrarian alerts during sharp retail-driven swings.

How do I apply cognitive bias checklists to manage momentum strategies in retail-driven markets?

Applying cognitive bias checklists enforces disposition-effect tracking and attention-weighted momentum adjustments to rebalance holding periods and guard against overconfidence when executing momentum strategies in retail-driven markets.

Can I use multi-dimensional sentiment indicators to optimize momentum and reversal strategies?

Yes, multi-dimensional sentiment indicators are required to optimize momentum and reversal strategies by tracking overreaction and underreaction cycles, enabling precise exposure shifts and contrarian alerts for China A-share investors.

Does portfolio debiasing work with limit-up and limit-down counts in China A-share data?

Portfolio debiasing works with limit-up and limit-down counts in China A-share data by using these metrics as multi-dimensional sentiment indicators to measure fear-to-euphoria phases and enforce bias-aware risk controls.

When should I avoid momentum strategies and switch to contrarian signals?

Switch from momentum to contrarian signals when sentiment cycle diagnostics indicate euphoria extremes via turnover and margin financing anomalies, triggering bias-aware risk controls to prevent overconfidence-driven overreaction.