trade-journal-analyzer

Analyze broker trade journal exports to generate trading profiles and bias diagnostics.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/loanntc/Paave --skill trade-journal-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trade-journal-analyzer
Source: https://github.com/loanntc/Paave/tree/main/skills/trade-journal
Command: npx skills add https://github.com/loanntc/Paave --skill trade-journal-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns broker trade journal exports into an evidence-based summary of your trading performance and behavioral biases, so you can spot what is helping versus hurting results.

Core Features & Use Cases

  • Trade profile analytics: Calculates holding days, trade frequency, win rate, PnL ratio, total PnL, max drawdown, top symbols, market distribution, and hourly distribution from CSV/Excel exports.
  • Behavior diagnostics (bias detection): Produces four diagnostics—disposition effect, overtrading, chasing momentum, and anchoring—with severity and numeric evidence.
  • Format auto-detection: Supports Tonghuashun (同花顺) and Eastmoney (东方财富) CSVs, Futu (富途) CSVs, and a generic CSV fallback based on common columns.

Quick Start

Ask the assistant to analyze your file by calling the analyze_trade_journal tool with your uploaded broker export path.

Frequently Asked Questions about trade-journal-analyzer

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

FAQPage Schema
How do I analyze my broker trade journal export for behavioral biases?

To analyze your trade journal export for behavioral biases, upload your broker CSV file and invoke the analyze_trade_journal tool. It generates an overall trading profile and behavior diagnostics, calculating metrics like win rate, max drawdown, and PnL ratio to identify what is helping or hurting your results.

Does trade journal analysis support CSV exports from Futu and Eastmoney?

Yes, trade journal analysis supports CSV exports from Tonghuashun, Eastmoney, Futu, and a generic CSV fallback. Format auto-detection matches common columns to parse your specific broker data automatically for performance review and bias detection.

What behavioral biases can be detected from my trading history?

Behavior diagnostics from your trading history can detect four specific biases: the disposition effect, overtrading, chasing momentum, and anchoring. The analysis produces severity levels and numeric evidence for each detected behavioral bias.

What is the best way to review trade performance by specific symbols or timeframes?

The best way to review trade performance by specific symbols or timeframes is to use the optional analysis_type and filter_expr parameters when calling the analyze_trade_journal tool. This enables timeframe slicing and symbol deep-dive analysis on your exported CSV data.

What portfolio metrics are calculated from a trade journal CSV?

Analyzing a trade journal CSV calculates portfolio metrics including holding days, trade frequency, win rate, PnL ratio, total PnL, max drawdown, top symbols, market distribution, and hourly distribution to provide a comprehensive trading profile.