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trade-journal

Analyze trading journal CSV files to identify behavioral biases and generate trading profiles.

2|Updated May 13, 2026
Search Tags:#bias detection#behavioral finance#trading performance#trading analysis#trading journal
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill trade-journal-thanhtai040805
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-journal
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/trade-journal
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill trade-journal-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill analyzes your trading journal, providing a detailed trading profile and identifying behavioral biases like disposition effect, overtrading, chasing, and anchoring.

Core Features & Use Cases

  • Trading Profile: Generates a comprehensive trading profile including holding days, frequency, win rate, PnL ratio, and more.
  • Behavior Diagnostics: Identifies four key behavioral biases with severity and numeric evidence.
  • Supported Formats: Handles formats like Tonghuashun, Eastmoney, Futu, and generic CSV.
  • Usage: Use the analyze_trade_journal tool to analyze your trade journal and generate reports.

Quick Start

Analyze your trade journal by running analyze_trade_journal(file_path="path_to_your_trade_journal.csv").

Frequently Asked Questions about trade-journal

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

FAQPage Schema
How do I analyze my trading journal for behavioral biases?▼

To analyze your trading journal for behavioral biases, use the `analyze_trade_journal` tool with your CSV file. It identifies biases like disposition effect, overtrading, chasing, and anchoring, providing severity and numeric evidence.

What is the disposition effect in trading performance analysis?▼

The disposition effect is a behavioral bias identified during trading performance analysis where traders hold losing positions too long and sell winning positions too early. The analysis provides numeric evidence and severity for this bias.

Does trading journal analysis work with CSV exports from Tonghuashun or Futu?▼

Yes, trading journal analysis supports CSV exports from Tonghuashun, Eastmoney, Futu, and generic CSV formats. It parses these files to generate a comprehensive trading profile and behavioral diagnostics.

What metrics are included in a trading profile from journal analysis?▼

A trading profile from journal analysis includes metrics such as holding days, trading frequency, win rate, and PnL ratio. It provides a comprehensive overview of your trading performance alongside behavioral bias diagnostics.

Do I need Python scripts to detect overtrading and anchoring biases?▼

You need a CSV file of your trades to detect overtrading and anchoring biases. The analysis handles parsing and uses Python scripts for deeper analysis to generate detailed metrics and bias severity automatically.

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