Individual skill

pair-trade-screener

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.

workflows/stock-trader-workflow/.claude/skills/pair-trade-screener/SKILL.md

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Observed behavior: Network or broad shell
Last checked: Nov 7, 2026

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Repository stars (not skill ratings): 291
Repository last updated: Jan 20, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

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README.mddoc · 9,735 bytes
SKILL.mdcore · 18,702 bytes
SKILL.mdcore · 18,702 bytes
SKILL.mdcore · 18,702 bytes
SKILL.mdcore · 18,702 bytes
SKILL.mdcore · 18,702 bytes
references/cointegration_guide.mddoc · 19,392 bytes
references/methodology.mddoc · 22,886 bytes
scripts/analyze_spread.pyruns · 13,762 bytes
scripts/find_pairs.pyruns · 17,368 bytes

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# 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:**