Correlation Matrix

Cross-asset correlation heatmap showing how the top 20 cryptocurrencies move relative to each other — spot decorrelation events that signal opportunity.

What is Correlation Matrix?

Correlation Matrix displays the Pearson correlation coefficients between the price movements of the top 20 cryptocurrencies in a color-coded grid. High positive correlation means two assets move together, negative correlation means they move in opposite directions, and near-zero correlation means they move independently.

In crypto markets, most assets are highly correlated with BTC during normal conditions. But during market regime changes, certain assets decorrelate — they start moving independently from the pack. These decorrelation events are among the most actionable signals in crypto trading because they indicate that something unique is happening with that specific asset.

The matrix updates in real time and provides alerts when significant decorrelation events are detected. It supports multiple timeframes so you can see whether the correlation breakdown is a short-term event or a structural shift.

Key Concepts

• Pearson Correlation: A measure from -1 to +1 of how two assets move together. +1 = perfectly correlated, 0 = no correlation, -1 = inversely correlated
• Decorrelation Event: When an asset’s correlation with the broader market drops significantly from its historical norm — signals independent price action
• Correlation Regime: The overall correlation level of the market — high correlation regimes mean everything moves together, low correlation means individual stories matter more
• Timeframe Sensitivity: Short-term correlations can differ significantly from long-term ones — a 1-hour decorrelation might be noise while a 24-hour decorrelation is structural

How to Use Correlation Matrix

1. Open Correlation Matrix from the sidebar or Terminal workspace
2. The grid shows color-coded correlation values for the top 20 coins
3. Select a timeframe (1h, 4h, 24h, 7d) to see how correlations change over different periods
4. Click on any cell to see the detailed correlation history between those two assets
5. Watch for decorrelation alerts — highlighted cells where correlation has dropped significantly from the norm

What to Look For

• Bullish signals: An asset decorrelating to the upside (moving up while the market is flat or down) suggests strong independent buying interest — institutional accumulation, positive news, or ecosystem growth.
• Bearish signals: An asset decorrelating to the downside (moving down while the market is stable) suggests asset-specific selling pressure — insider selling, protocol issues, or loss of narrative.
• Key patterns: During market-wide selloffs, assets that maintain low correlation with BTC and hold their value are showing relative strength. Correlation spikes (when normally decorrelated assets suddenly move in lockstep) often indicate systemic risk events. Gradually declining correlations across many pairs suggest the market is shifting from BTC-driven to narrative-driven.
• Combine with: Altcoin Index for overall altcoin strength context, EMA Heatmap to see which decorrelated assets are showing trend strength, Volume Profile for confirming whether the decorrelation has volume support

Timeframes

Tips

• Most crypto assets are 0.7-0.9 correlated with BTC during normal conditions — anything below 0.5 is noteworthy
• Decorrelation events at the start of a trend are the most valuable — catching them early means catching the independent move early
• Do not trade correlation alone — use it as a filter to identify which assets deserve deeper analysis with other tools
• The matrix is most informative during mixed markets — when BTC is at all-time highs and everything rallies together, correlations tell you very little