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correlation-analysis

Analyze financial asset returns and market correlations with statistical methods.

1|Updated Jun 23, 2026
Search Tags:#market analysis#data analysis#trading strategies#cointegration#correlation analysis
One-click install
npx skills add https://github.com/644408071-design/Kokpop --skill correlation-analysis-644408071-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: correlation-analysis
Source: https://github.com/644408071-design/Kokpop/tree/main/agent/src/skills/correlation-analysis
Command: npx skills add https://github.com/644408071-design/Kokpop --skill correlation-analysis-644408071-design

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy, statsmodels, matplotlib, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill performs advanced correlation and cointegration analysis to uncover hidden market patterns, enabling informed decision-making in trading and investment strategies.

Core Features & Use Cases

  • Correlation Analysis: Identify assets with high correlation, revealing potential trading opportunities.
  • Cointegration Testing: Validate long-term equilibrium relationships between assets.
  • Sector Clustering: Analyze sector structure and portfolio diversification.
  • Realized Correlation: Evaluate conditional correlation by market regime.
  • Use Case: A quantitative trader might use this Skill to identify correlated pairs of assets that could be used in a pair-trading strategy.

Quick Start

Execute the 'scan_correlated_assets' script to find highly correlated assets with a Pearson correlation threshold of 0.5.

Frequently Asked Questions about correlation-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find highly correlated assets for a pair trading strategy?▼

Cointegration testing validates long-term equilibrium relationships between assets, distinguishing true statistical pairs from spurious correlations to ensure robust pair trading strategies and reliable market research.

What is the difference between correlation and cointegration in market analysis?▼

Cointegration testing validates long-term equilibrium relationships between assets, distinguishing true statistical pairs from spurious correlations to ensure robust pair trading strategies and reliable market research.

Do I need pandas and statsmodels to run correlation analysis on financial data?▼

Cointegration testing validates long-term equilibrium relationships between assets, distinguishing true statistical pairs from spurious correlations to ensure robust pair trading strategies and reliable market research.

Can I evaluate conditional correlation by market regime for portfolio diversification?▼

Cointegration testing validates long-term equilibrium relationships between assets, distinguishing true statistical pairs from spurious correlations to ensure robust pair trading strategies and reliable market research.

What's the best way to analyze sector clustering for financial asset returns?▼

Cointegration testing validates long-term equilibrium relationships between assets, distinguishing true statistical pairs from spurious correlations to ensure robust pair trading strategies and reliable market research.

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