trade-journal

Parse broker-exported trade journals to calculate performance metrics and detect behavioral biases.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill trade-journal-hxhyyy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade-journal
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/trade-journal
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill trade-journal-hxhyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the lack of objective self-reflection in retail trading by transforming raw broker export files into actionable performance metrics and psychological behavioral diagnostics.

Core Features & Use Cases

  • Performance Profiling: Calculates win rates, PnL ratios, holding periods, and market distribution from broker CSV/Excel exports.
  • Behavioral Diagnostics: Identifies common trading pitfalls including the disposition effect, overtrading, momentum chasing, and anchoring.
  • Use Case: A trader struggling with inconsistent results can upload their monthly broker statement to identify if they are overtrading or holding losing positions too long, receiving a data-backed report on their specific psychological biases.

Quick Start

Use the analyze_trade_journal tool to process the file located at uploads/my_trades.csv and generate a full performance and behavior 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 trading performance and behavioral biases from broker exports?

You can analyze trading performance and behavioral biases by parsing broker exports like CSV or Excel files to calculate win rates and PnL ratios, while identifying psychological pitfalls such as overtrading and the disposition effect.

What trading platforms and formats are supported for trade journal analysis?

Trade journal analysis supports diverse broker export formats including Tonghuashun, Eastmoney, and Futu, enabling multi-market analysis from standard CSV and Excel files.

How do I identify the disposition effect in my trading history?

Identifying the disposition effect involves statistical bias detection on your trade journal to evaluate if you are holding losing positions too long and selling winners prematurely.

Can I calculate holding periods and market distribution from raw broker statements?

Yes, you can calculate holding periods and market distribution from raw broker statements by processing the exported data to generate a comprehensive performance profiling report.

Does the trade journal analysis implement FIFO lot matching for PnL calculation?

Yes, trade journal analysis implements FIFO lot matching to accurately calculate PnL ratios and provide objective feedback on your trading habits from broker exports.

Why does my trade journal report show momentum chasing and anchoring biases?

Your trade journal report shows momentum chasing and anchoring biases because the analysis applies statistical bias detection to your raw trading data to highlight specific psychological behavioral pitfalls.