pair-trade-screener SKILL.md skillA
pair-trade-screener from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nicepkg/ai-workflow/pair-trade-screener@git:20260118.be84779Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nicepkg/ai-workflow
- Path
workflows/stock-trader-workflow/.claude/skills/pair-trade-screener/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260118.be84779, committed Jan 18, 2026
- Size
- 18,702 bytes
- Repository stars
- 291
- 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
mdr add nicepkg/ai-workflow/pair-trade-screener@sha256:f79ba78e87143246The line at the top of this page pins the label git:20260118.be84779, 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.
[](https://markdownregistry.com/a/art_gnkj2ngbgharn5iz)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jan 18, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (18702 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
nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_gnkj2ngbgharn5iz GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/pair-trade-screener GET https://markdownregistry.com/api/v1/blob/f79ba78e8714324674b581c2d92a5e1abbf46124a27efdcba604bbc03e252191
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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