weekly-performance-digest
CommunityGenerate weekly performance summary for trading theses.
AuthorIhsanDanish25
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps traders review their trading performance by generating a comprehensive weekly performance summary from closed theses.
Core Features & Use Cases
- Performance Metrics: Computes win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis.
- Data Analysis: Breaks down performance across various dimensions such as source skill, exit reason, thesis type, sector, and mechanism tag.
- Use Case: A trader can use this Skill to analyze their trading performance after a week and identify areas of improvement.
Quick Start
Run the weekly performance digest for the last week using the command: python3 skills/weekly-performance-digest/scripts/generate_weekly_digest.py --state-dir state/theses --from-date YYYY-MM-DD --to-date YYYY-MM-DD --output-dir reports/ -v
Dependency Matrix
Required Modules
PyYAML
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: weekly-performance-digest Download link: https://github.com/IhsanDanish25/claude-trading-skills/archive/main.zip#weekly-performance-digest Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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