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trade-journal

Log trades and analyze performance metrics with Python scripts.

266|54|Updated Mar 11, 2026
Search Tags:#risk management#journal#performance analysis#trading#behavioral analysis#strategy attribution
One-click install
npx skills add https://github.com/agiprolabs/claude-trading-skills --skill trade-journal-agiprolabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trade-journal
Source: https://github.com/agiprolabs/claude-trading-skills/tree/main/skills/trade-journal
Command: npx skills add https://github.com/agiprolabs/claude-trading-skills --skill trade-journal-agiprolabs

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured system for logging trading activity, analyzing performance across various dimensions, and identifying behavioral patterns that hinder profitability.

Core Features & Use Cases

  • Structured Trade Logging: Record every trade with detailed entry/exit data, strategy, rationale, and emotional state.
  • Performance Analysis: Generate reports on win rates, profit factors, P&L by strategy, time of day, and hold duration.
  • Behavioral Pattern Detection: Identify and flag revenge trading, tilt (size escalation after losses), and cutting winners short.
  • Use Case: A trader can log their daily trades, then use the analyzer script weekly to see which strategies are most profitable, if they are holding winners long enough, and if emotional trading is impacting their results.

Quick Start

Use the trade-journal skill to add a new long trade for SOL at $142.50 with 5 SOL size using the momentum-breakout strategy.

Frequently Asked Questions about trade-journal

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

FAQPage Schema
How do I log trades and analyze performance metrics like win rates and profit factors?▼

You can log trades with detailed entry/exit data, strategy, and rationale, then run Python scripts to generate performance analysis reports on win rates, profit factors, and P&L by strategy.

How does behavioral pattern detection identify tilt or revenge trading in my strategy?▼

Behavioral pattern detection analyzes your logged emotional state and trade size escalation after losses to flag psychological trading patterns like revenge trading, tilt, and cutting winners short.

Can I track P&L by hold duration and time of day for my trading strategies?▼

Yes, the performance analysis feature generates reports breaking down your P&L by strategy, time of day, and hold duration to evaluate strategy effectiveness across different trading dimensions.

What's the best way to structure a trade journal for risk management and strategy attribution?▼

Use a structured trade logging system to record individual trades with comprehensive performance metrics, enabling data-driven insights into strategy effectiveness, risk management, and psychological patterns.

Do I need Python scripts to analyze my trading behavior and strategy performance?▼

Yes, this Skill provides Python scripts for record-keeping and analysis, allowing you to run weekly analyzers to see which strategies are most profitable and if emotional trading impacts results.

Can I log my emotional state alongside entry and exit data for individual trades?▼

Yes, structured trade logging allows you to record every trade with detailed entry/exit data, strategy, rationale, and your emotional state to facilitate behavioral analysis.

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