Cointegration Heatmap & Spread Table [EdgeTerminal]

How it works

The Cointegration Heatmap performs linear regression between two assets to determine their statistical relationship. It calculates a spread by comparing the actual prices against a predicted linear relationship and computes residuals to measure price divergence.

The indicator generates a cointegration score by analyzing the standard deviation of these residuals, with higher scores indicating tighter relationships between assets. It uses a Z-score to quantify how far the current spread deviates from its historical mean, providing traders with actionable insights into potential mean-reversion trade opportunities.

Why it may be useful

Cointegration analysis goes beyond simple correlation by revealing deeper, more stable relationships between financial instruments. It helps traders identify assets that tend to move together over longer time horizons, offering a sophisticated approach to understanding market dynamics.

By providing quantitative evidence of statistical relationships, this tool allows traders to make more informed decisions about potential pairs trading strategies. It transforms complex statistical concepts into practical, visual insights that can help reduce trading risk and improve the probability of successful trades.

When to explore it

The Cointegration Heatmap works best when analyzing assets within the same sector, industry, or with fundamental economic connections. Traders should focus on pairs with cointegration scores above 25%, with scores over 40% indicating extremely strong relationships.

This tool is particularly useful during periods of market consolidation or when seeking low-risk, mean-reversion trading opportunities. Traders should use it in conjunction with other analysis methods and continuously monitor the stability of identified relationships across different timeframes.

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