trade-journal

Analyze broker trade journal exports to generate performance and behavioral reports.

15|2|Updated May 1, 2026
One-click install
npx skills add https://github.com/OpenSucker/OpenSucker --skill trade-journal-opensucker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade-journal
Source: https://github.com/OpenSucker/OpenSucker/tree/main/skills/vibe_skills/trade-journal
Command: npx skills add https://github.com/OpenSucker/OpenSucker --skill trade-journal-opensucker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps traders understand their trading behavior and performance by analyzing their trade journal exports, providing insights into strategy efficacy and biases.

Core Features & Use Cases

  • Trade Data Parsing: Supports various formats from brokers such as Tonghuashun, Eastmoney, Futu, and generic CSV files.
  • Profile Metrics: Calculates trading statistics including total trades, win rate, profit/loss ratio, and drawdowns.
  • Behavior Diagnostics: Identifies biases such as disposition effect, overtrading, chasing momentum, and anchoring with severity levels and evidence.
  • Use Case: A trader uploads a CSV file of their trading activity to get a detailed report outlining their strengths, weaknesses, and behavioral tendencies for targeted improvement.

Quick Start

Call the analyze_trade_journal tool with the path to your CSV file to receive a comprehensive trading analysis report.

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 exports for behavioral biases?

Analyzing trading journal exports for behavioral biases involves parsing broker CSV files to generate diagnostics on disposition effect, overtrading, chasing momentum, and anchoring with evidence and severity levels.

What is trade journal analysis and how does it improve performance?

Trade journal analysis is the process of evaluating broker export data to calculate win rates, profit/loss ratios, and drawdowns, yielding a detailed performance report that helps traders understand biases and improve strategies.

Does trade journal analysis work with generic CSV files or specific broker formats?

Trade journal analysis works with generic CSV files and specific broker formats from Tonghuashun, Eastmoney, and Futu, parsing the exported data to generate comprehensive performance metrics and behavioral diagnostics.

How do I calculate my win rate and profit/loss ratio from broker trade history?

Calculating win rate and profit/loss ratio from broker trade history requires parsing your CSV export to generate a profile metrics report, detailing total trades, drawdowns, and overall trading statistics.

Can I identify overtrading and disposition effect tendencies from my trading history?

You can identify overtrading and the disposition effect from your trading history by running a behavior diagnostics analysis on your CSV export, which outputs severity levels and evidence for targeted improvement.