bias-checker

Detect six behavioral finance biases in investment decisions and suggest mitigation strategies.

Updated Mar 1, 2026

Search Tags:#decision making #investment #risk management #trading #bias #behavioral finance

Ready to run

npx skills add https://github.com/mqzkim/trading --skill bias-checker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bias-checker
Source: https://github.com/mqzkim/trading/tree/main/.agents/skills/bias-checker
Command: npx skills add https://github.com/mqzkim/trading --skill bias-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill identifies cognitive biases in investment decisions, helping users make more rational choices by detecting and offering mitigation strategies for common behavioral finance pitfalls.

Core Features & Use Cases

Bias Detection: Identifies six key investment biases: Loss Aversion, Disposition Effect, Overconfidence, Confirmation Bias, Anchoring, and Recency Bias.
Mitigation Strategies: Provides actionable advice to counteract each detected bias.
Use Case: A trader is considering selling a profitable stock too early. The bias-checker can flag this as a potential Disposition Effect and suggest using a trailing stop-loss to let winners run.

Quick Start

Use the bias-checker skill to analyze my portfolio and decision for potential biases.

Frequently Asked Questions about bias-checker

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

FAQPage Schema

How do I detect behavioral biases in my investment decisions?▼

Detect behavioral biases in investment decisions by analyzing your portfolio status and decision context to flag issues like loss aversion, overconfidence, or anchoring. The tool evaluates specific criteria to identify these behavioral finance pitfalls.

What is the disposition effect and how do I stop selling winners too early?▼

The disposition effect is selling profitable stocks too early while holding losers. Mitigate this bias using rule-based strategies like trailing stop-loss orders to let winners run instead of relying on emotional trading decisions.

Can I check my trading decisions for loss aversion and confirmation bias?▼

Yes, you can check trading decisions for loss aversion and confirmation bias by analyzing the context of your trades. The tool provides actionable advice and rule-based criteria to counteract these specific investment biases.

What is the best way to mitigate anchoring and recency bias in trading?▼

The best way to mitigate anchoring and recency bias is applying rule-based criteria to evaluate portfolio status. This approach offers specific, actionable advice to counteract these biases and improve rational decision-making.

Does this bias detection require specific portfolio data formats?▼

Bias detection requires your portfolio status and decision context to evaluate potential issues, but it operates with no external dependencies, making it adaptable to various investment scenarios.