Home / tradermonty / claude-trading-skills · skills/weekly-performance-digest/SKILL.md · GitHub

weekly-performance-digest skillA

weekly-performance-digest is agent-read markdown (skill) from tradermonty/claude-trading-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..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 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

## When Not to Use

- For a single-trade deep review — use `trade-performance-coach`
- For signal-level true/false-positive classification — use `signal-postmortem`
…

Read the whole file at its exact version.

How to install

Latest version
mdr add tradermonty/claude-trading-skills/weekly-performance-digest@git:20260620.6f19585
Exact content
mdr add tradermonty/claude-trading-skills/weekly-performance-digest@sha256:11c98674c88a8ed2

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

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git:20260620.6f19585 latest2026-06-20 6f19585 5,725 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5725 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tradermonty/claude-trading-skills · 2,885 stars · license MIT · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_236z5lgxavim4rci
GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/weekly-performance-digest
GET https://markdownregistry.com/api/v1/blob/11c98674c88a8ed25529cba06ef7899198cc3e1d33d1d8d2da33f79ea9657149

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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