pair-trade-screener SKILL.md skillA

pair-trade-screener from tradermonty/claude-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tradermonty/claude-trading-skills/pair-trade-screener@git:20261107.07cacca

Pins git:20261107.07cacca in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tradermonty/claude-trading-skills
Path
skills/pair-trade-screener/SKILL.md
Versions recorded
3
Latest version
git:20261107.07cacca, committed Nov 7, 2026
First version recorded
Jan 4, 2026
Size
22,008 bytes
Repository stars
3,682
License
MIT

Statistical arbitrage tool for identifying and analyzing pair trading opportunities. Detects cointegrated stock pairs within sectors, analyzes spread behavior, calculates z-scores, and provides entry/exit recommendations for market-neutral strategies. Use when user requests pair trading opportunities, statistical arbitrage screening, mean-reversion strategies, or market-neutral portfolio construction. Supports correlation analysis, cointegration testing, and spread backtesting.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Pair Trade Screener

## Overview

This skill identifies and analyzes statistical arbitrage opportunities through pair trading. Pair trading is a market-neutral strategy that profits from the relative price movements of two correlated securities, regardless of overall market direction. The skill uses rigorous statistical methods including correlation analysis and cointegration testing to find robust trading pairs.

**Core Methodology:**
- Identify pairs of stocks with high correlation and similar sector/industry exposure
- Test for cointegration (long-term statistical relationship)
- Calculate spread z-scores to identify mean-reversion opportunities
- Generate entry/exit signals based on statistical thresholds
- Provide position sizing for market-neutral exposure

**Key Advantages:**
- Market-neutral: Profits in up, down, or sideways markets
- Risk management: Limited exposure to broad market movements
- Statistical foundation: Data-driven, not discretionary
- Diversification: Uncorrelated to traditional long-only strategies

## When to Use This Skill

Use this skill when:
- User asks for "pair trading opportunities"
- User wants "market-neutral strategies"
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tradermonty/claude-trading-skills/pair-trade-screener@sha256:ea835f74a96d36ca

The line at the top of this page pins the label git:20261107.07cacca, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_apbfrj7okvjairzu.svg)](https://markdownregistry.com/a/art_apbfrj7okvjairzu)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jan 4, 2026 and Nov 7, 2026, about one every 153 days.

versioncommittedcommitsizeaudit
git:20261107.07cacca latest2026-11-07 07cacca 22,008 BA view · diff
git:20260725.74d997c2026-07-25 74d997c 20,632 BA view · diff
git:20260104.f90e8222026-01-04 f90e822 18,702 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the 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 (22008 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 · 3,682 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_apbfrj7okvjairzu
GET https://markdownregistry.com/api/v1/resolve?ref=tradermonty/claude-trading-skills/pair-trade-screener
GET https://markdownregistry.com/api/v1/blob/ea835f74a96d36ca8639a01151f2abc941770730a808302c79289e0a7469748b

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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