智能体工作流

weekly-performance-digest

tradermonty/cla…g-skills

Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.

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安装命令

npx skills add https://github.com/tradermonty/claude-trading-skills --skill weekly-performance-digest

SKILL.md

Weekly Performance Digest

Overview

Weekly Performance Digest aggregates the trades you closed during a week into a single performance report. It reads CLOSED theses tracked by trader-memory-core (state/theses/th_*.yaml), computes headline metrics (win rate, expectancy, profit factor, R-multiple, MAE/MFE), breaks results down across several pattern dimensions (source skill, exit reason, thesis type, sector, mechanism tag, screening grade), and surfaces the week's biggest winners, losers, and lessons. Output is a JSON record plus a human-readable Markdown report. Pure calculation — no API key required.

When to Use

  • At the end of a trading week to review aggregate realized performance
  • To measure win rate and expectancy across all closed positions
  • To see which source skills, exit reasons, sectors, or mechanisms drove wins vs losses
  • To feed a month-end review (combine four weekly digests) or a postmortem
  • For a quick "what worked / what didn't" snapshot grounded in real closed trades