What Is the Crypto Correlation Matrix?
The crypto correlation matrix shows the statistical relationship between the price movements of different assets. A correlation coefficient of +1 means two assets move in perfect lockstep, -1 means they move in opposite directions, and 0 means no relationship. The matrix covers major cryptocurrencies (BTC, ETH, SOL, and 40+ altcoins) alongside traditional assets like gold, S&P 500, and Nasdaq, helping traders understand how their portfolio components interact.
How to Use Correlation Data for Portfolio Management
Traders and portfolio managers use correlation matrices to build diversified portfolios that reduce overall risk. If two assets are highly correlated, holding both provides little diversification benefit. Look for assets with low or negative correlation to construct portfolios that can weather different market conditions. Rolling correlation windows (30d, 90d, 1Y, 3Y) reveal whether relationships are stable or shifting, which is critical for rebalancing decisions.
Frequently Asked Questions
- What is a crypto correlation matrix?
- A correlation matrix is a table showing the correlation coefficients between pairs of assets. Each cell shows a value from -1 to +1 indicating how closely two assets' price movements are related over a given time period. It helps identify which assets move together and which provide diversification.
- What time periods are available for correlation?
- The matrix supports 30-day, 90-day, 1-year, and 3-year rolling correlation windows. Shorter periods capture recent regime changes while longer periods reveal structural relationships between assets.
- Does the matrix include traditional assets?
- Yes. In addition to 40+ cryptocurrencies, the matrix includes traditional assets like gold (XAU), S&P 500 (SPX), Nasdaq (QQQ), US Dollar Index (DXY), and US Treasury yields. This lets you analyze crypto-to-TradFi relationships.
- How is correlation calculated?
- Correlations are calculated using Pearson correlation coefficients on daily closing prices over the selected rolling window. Data is sourced from exchange aggregated prices for crypto and standard market feeds for traditional assets, updated daily.
- What is a correlation matrix in crypto?
- A correlation matrix is a table showing the Pearson correlation coefficient between every pair of selected assets. The coefficient ranges from +1.0 (assets move in perfect lockstep) through 0.0 (no linear relationship) to -1.0 (assets move in opposite directions). In crypto, correlations tend to be high during market stress (everything sells off together) and lower during normal conditions, making correlation monitoring a key input for portfolio risk management.
- What is the Pearson correlation coefficient?
- The Pearson correlation coefficient measures the linear relationship between two variables using their return series over a specified period. It is calculated as the covariance of two assets' returns divided by the product of their standard deviations. A value of +1.0 means returns move proportionally in the same direction, -1.0 means they move proportionally in opposite directions, and 0.0 means no linear relationship exists. Sharpe calculates Pearson coefficients using daily log returns.
- How many assets can I include in the correlation matrix?
- The Correlation Matrix supports up to 10 assets simultaneously, producing an NxN grid of up to 45 unique pairwise correlations. You can mix crypto assets (BTC, ETH, SOL, and hundreds more) with traditional finance assets like gold and the S&P 500. The 10-asset limit ensures the matrix remains readable and computationally efficient while covering the most common portfolio analysis use cases.
- What timeframes are available for correlation analysis?
- Correlations are calculated over 7-day, 30-day, 90-day, 1-year, and 3-year rolling windows. Short windows like 7d and 30d capture current market regime behavior and are useful for tactical trading. Longer windows like 1y and 3y reveal structural relationships and are more appropriate for strategic portfolio allocation decisions. Comparing short and long windows highlights when current correlations deviate from historical norms.
- Why include gold and S&P 500 in a crypto correlation matrix?
- Including traditional finance assets like gold and the S&P 500 reveals whether crypto is currently behaving as a risk asset (high correlation with S&P 500), a store of value (high correlation with gold), or an uncorrelated alternative (low correlation with both). These cross-asset correlations shift during macro events — BTC-S&P 500 correlation spiked during the 2022 rate hiking cycle but decoupled in other periods. Institutional allocators watch these relationships closely.
- How often is correlation data updated?
- Correlation coefficients are recalculated using daily closing prices, so the matrix updates once per day with each new daily close. The rolling time-series chart adds a new data point daily for each pairwise relationship. While intraday correlation changes are not captured, daily frequency provides the statistically meaningful sample sizes that Pearson correlation requires for reliable coefficient estimates.
- What is a rolling correlation and why does it matter?
- A rolling correlation calculates the correlation coefficient over a fixed window (for example, 30 days) that moves forward one day at a time, producing a time-series of correlation values. This reveals how the relationship between two assets changes over time. Static correlations can be misleading — ETH and BTC may show 0.85 correlation over a year but experienced periods of 0.95 (lockstep) and 0.60 (decoupling). The rolling view exposes these regime shifts.
- Is the Correlation Matrix free to use?
- Yes. The Correlation Matrix is available free on Sharpe Terminal with no account required. All timeframes, up to 10 assets including TradFi benchmarks, rolling time-series, and the NxN heatmap are accessible immediately. The same data is available through Sharpe's REST API, MCP server, and CLI tool for programmatic access.
