stock-correlation

Stock Correlation discovers which stocks move in tandem with a target ticker, helping you identify sympathy plays and potential trading pairs. It analyzes historical price relationships across industry peers and related sectors, then ranks matches by correlation strength with explanations of why they're linked.

Stock Correlation finds stocks that move together with a given ticker to identify sympathy plays and trading pairs.

AI-generated summary based on this skill's SKILL.md

★ 3,075 ⁮ 354 MIT updated 2026-07-21 by himself65

Install

himself65/finance-skills/stock-correlation · repository language: JavaScript

Manual (git clone) CLI (skillfed)coming soon

git clone https://github.com/himself65/finance-skills
cp -r finance-skills/plugins/market-analysis/skills/stock-correlation ~/.claude/skills/stock-correlation

Frequently asked questions

AI-generated answers based on this skill's SKILL.md and metadata

What stocks correlate with NVDA using stock-correlation?

Stock Correlation identifies which stocks move in tandem with NVDA by analyzing historical price relationships. The skill ranks matches by correlation strength, showing you semiconductor peers like AMD and ASML, as well as related tech stocks that tend to rise and fall together. Results explain why each stock is linked—whether through shared supply chains, sector exposure, or market dynamics—helping you spot sympathy plays and co-movement patterns.

How does stock-correlation analyze correlation between two specific stocks?

Stock Correlation examines historical price data to measure how two stocks move relative to each other. For pair trading analysis, it calculates correlation coefficients that reveal whether stocks tend to move together (positive correlation), opposite directions (negative correlation), or independently. The skill provides correlation strength rankings and context about why the pair behaves as it does, supporting both sympathy play identification and hedging strategy development.

Can stock-correlation identify sector peers and clustering?

Yes, Stock Correlation helps you understand market structure by identifying sector peers and clustering patterns. It groups related companies—such as semiconductor manufacturers or cloud infrastructure providers—and shows how tightly they move together. This reveals which stocks share fundamental drivers and which outliers diverge from their peer group, useful for understanding competitive positioning and sector-wide risk exposure.

Does stock-correlation track how correlation changes over time?

Stock Correlation monitors rolling correlation across different time periods and market regimes. This reveals whether two stocks that moved together historically have decoupled, or whether new correlations have emerged. Tracking these shifts helps you adapt trading strategies when market conditions change, avoid stale pair trades, and spot when sector dynamics or company fundamentals have shifted.

Can stock-correlation find inversely correlated stocks for hedging?

Stock Correlation identifies stocks with negative correlation—those that tend to move in opposite directions—making them valuable for portfolio hedging and diversification. By finding pairs or groups that offset each other's risk, you can construct more resilient portfolios. The skill ranks hedging candidates by correlation strength so you can select the most effective diversifiers for your holdings.

What license does stock-correlation use?

Stock Correlation is released under the MIT license, which permits free use, modification, and distribution for both commercial and personal projects, provided the license notice is retained.

SKILL.md

rendered from the published skill — quoted content, verbatim