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trade-journal

Parses CSV/Excel broker trade journals into performance profiles and behavioral diagnostics.

Updated Jun 30, 2026
Search Tags:#finance#data-analytics#trading#pnl#behavioral-analysis#broker-export
One-click install
npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill trade-journal-0xzknw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-journal
Source: https://github.com/0xZKnw/vibe-trading-tap/tree/main/agent/src/skills/trade-journal
Command: npx skills add https://github.com/0xZKnw/vibe-trading-tap --skill trade-journal-0xzknw

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 behavioral diagnostics.

Core Features & Use Cases

  • Performance Profiling: Calculates win rates, PnL ratios, holding periods, and market distribution from CSV/Excel broker exports.
  • Behavioral Diagnostics: Identifies common psychological pitfalls including the disposition effect, overtrading, momentum chasing, and anchoring.
  • Use Case: A trader struggling with consistency can upload their monthly trade journal to identify if they are holding losing positions too long or overtrading on high-volatility days.

Quick Start

Call the analyze_trade_journal tool with the file path of your broker export to generate a comprehensive trading 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 broker trade data to uncover behavioral biases in my trading?▼

To analyze broker trade data for behavioral biases, you can parse CSV or Excel journal exports to calculate win rates, PnL ratios, and holding periods while identifying psychological pitfalls like the disposition effect and overtrading.

What is FIFO lot matching and how does it evaluate trading patterns?▼

FIFO lot matching is a statistical evaluation method applied to broker trade journals to match sequential buy and sell orders, generating data-driven feedback on your trading patterns and comprehensive portfolio performance metrics.

Can I use CSV broker exports from A-shares, US, and HK stock markets for performance profiling?▼

Yes, you can use CSV or Excel broker exports from A-shares, US, and HK stock markets for performance profiling to calculate market distribution, PnL ratios, and holding periods across multiple regional formats.

How do I diagnose the disposition effect and momentum chasing from my trade journal?▼

Diagnosing the disposition effect and momentum chasing involves parsing raw broker export files to run behavioral diagnostics, identifying whether you are holding losing positions too long or overtrading on high-volatility days.

Does trade journal analysis work with Excel formats for retail trading self-reflection?▼

Yes, trade journal analysis works with Excel formats by transforming raw broker export files into actionable performance metrics and behavioral diagnostics to provide objective self-reflection for retail trading consistency.

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