behavioral-finance

Translate behavioral finance theories into quantitative trading signals and risk-control rules.

Updated May 15, 2026

Search Tags:#momentum #bias #sentiment-analysis #behavioral-finance #reversal #china-a-shares

Ready to run

npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill behavioral-finance-philipcoller-777

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: behavioral-finance
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/behavioral-finance
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill behavioral-finance-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Behavioral finance analysis translates investor bias and sentiment into quantitative, tradable signals and risk-control rules, enabling systematic exploitation of predictable mispricings.

Core Features & Use Cases

Interpretation & Parameterization: Translate observed biases and sentiment into measurable momentum/reversal signals and debiasing rules for portfolio construction.
Contrarian & Sentiment Signals: Generate rule-based indicators for extreme optimism/pessimism and contrarian entry/exit points.
China A-share Focus: Tailor signals to retail-dominated, fast-rotating markets with specific momentum windows and bias checks.

Quick Start

Apply the framework to generate a basic behavioral-finance momentum signal in China A-share stocks.

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 finance biases into quantitative trading signals?▼

Translate behavioral finance biases into quantitative trading signals by identifying observable sentiment cycles and parameterizing them into measurable momentum and reversal indicators for portfolio construction.

How do I generate contrarian entry and exit signals from market sentiment data?▼

Generate contrarian entry and exit signals from market sentiment data by applying rule-based indicators that detect extreme optimism or pessimism, structuring outputs into sentiment diagnosis and bias signal recommendations.

What is the best way to build momentum and reversal signals for China A-shares?▼

Build momentum and reversal signals for China A-shares by tailoring parameterization rules to retail-dominated, fast-rotating markets, applying specific momentum windows and bias checks to capture predictable mispricings.

Can I apply behavioral finance frameworks to debiasing mechanisms for risk control?▼

Apply behavioral finance frameworks to debiasing mechanisms by generating structured risk-control rules and a debiasing checklist that systematically counteracts investor bias during portfolio execution.

Does behavioral finance signal generation work without external dependencies or components?▼

Behavioral finance signal generation works without external dependencies, operating as an advanced standalone framework to define observable signals, parameterization rules, and structured outputs for sentiment diagnosis.

What structured outputs should I expect from a behavioral finance analysis framework?▼

Expect structured outputs from a behavioral finance analysis framework including sentiment diagnosis, bias signals, strategy recommendations, and a debiasing checklist to translate investor behavior into actionable signals.