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Asset Correlation Matrix
Pick up to twelve major ETFs and stocks and see how their daily returns have moved together over the past 249 trading days (Oct 10, 2025 to Oct 8, 2026). Blue means they move together, red means they move apart.
Data as of the Thursday, October 8, 2026 close. Refreshed each trading day after the close. Daily closes from Yahoo Finance; Pearson correlation of log returns over 249 trading days, computed by this site. Delayed and for education only; verify before acting.
Assets (9 of 12)
| SPY | QQQ | IWM | EFA | TLT | HYG | GLD | USO | BTC-USD | |
|---|---|---|---|---|---|---|---|---|---|
| SPY | 1.00 | 0.92 | 0.81 | 0.77 | 0.31 | 0.68 | 0.35 | -0.38 | 0.10 |
| QQQ | 0.92 | 1.00 | 0.73 | 0.68 | 0.24 | 0.57 | 0.34 | -0.31 | 0.11 |
| IWM | 0.81 | 0.73 | 1.00 | 0.74 | 0.32 | 0.68 | 0.38 | -0.38 | 0.08 |
| EFA | 0.77 | 0.68 | 0.74 | 1.00 | 0.40 | 0.70 | 0.47 | -0.45 | 0.03 |
| TLT | 0.31 | 0.24 | 0.32 | 0.40 | 1.00 | 0.59 | 0.14 | -0.42 | 0.15 |
| HYG | 0.68 | 0.57 | 0.68 | 0.70 | 0.59 | 1.00 | 0.31 | -0.40 | 0.17 |
| GLD | 0.35 | 0.34 | 0.38 | 0.47 | 0.14 | 0.31 | 1.00 | -0.09 | -0.01 |
| USO | -0.38 | -0.31 | -0.38 | -0.45 | -0.42 | -0.40 | -0.09 | 1.00 | -0.02 |
| BTC-USD | 0.10 | 0.11 | 0.08 | 0.03 | 0.15 | 0.17 | -0.01 | -0.02 | 1.00 |
What moves with the S&P 500, and what does not
Correlation with the broad US market is the first thing to check about any holding you bought for diversification. Over the last 249 trading days these were the assets that moved least and most with SPY.
Least correlated with SPY
| USO Crude Oil (USO) | -0.38 |
| XOM ExxonMobil | -0.30 |
| UUP US Dollar (UUP) | -0.29 |
| DBC Commodities (DBC) | -0.22 |
| XLE Energy (XLE) | -0.22 |
| JNJ Johnson & Johnson | -0.13 |
| XLP Consumer Staples (XLP) | -0.05 |
| WMT Walmart | -0.02 |
Most correlated with SPY
| QQQ Nasdaq 100 (QQQ) | 0.92 |
| XLK Technology (XLK) | 0.84 |
| DIA Dow (DIA) | 0.84 |
| IWM Russell 2000 (IWM) | 0.81 |
| XLY Consumer Discretionary (XLY) | 0.77 |
| EFA Developed ex-US (EFA) | 0.77 |
| EEM Emerging Markets (EEM) | 0.76 |
| XLI Industrials (XLI) | 0.69 |
Notable pairs this year
Lowest correlations (excluding sectors)
| DIA / USO | -0.47 |
| EFA / UUP | -0.47 |
| EFA / USO | -0.45 |
| LQD / USO | -0.45 |
| IEF / USO | -0.43 |
| TLT / USO | -0.42 |
| GLD / UUP | -0.41 |
| HYG / USO | -0.40 |
Highest correlations (excluding SPY)
| VNQ / XLRE | 0.98 |
| QQQ / XLK | 0.96 |
| TLT / IEF | 0.91 |
| IEF / LQD | 0.91 |
| TLT / LQD | 0.90 |
| XLE / XOM | 0.90 |
| USO / DBC | 0.87 |
| GLD / SLV | 0.84 |
How to read the matrix
Each cell is the correlation of two assets' daily returns. The diagonal is always 1.00 because every asset is perfectly correlated with itself. Deep blue cells (above 0.7) are assets that behave as one position; pale cells near zero are genuine diversifiers; red cells are assets that tend to move in opposite directions, which is rare and valuable when it lasts.
A quick portfolio test: select the funds you actually own. If every off-diagonal cell is deep blue, you own one bet several times over. The diversification guide shows the arithmetic of why that matters, and the asset allocation guide covers what to do about it.
For pairs traders, the correlation between two similar stocks is the starting point for pairs trading, though cointegration matters more than correlation there. For the stock-bond relationship and why it changes with the inflation regime, see macro regimes. Measure the result of a diversified mix with the Sharpe ratio calculator and rebalance it with the rebalancing calculator.
Frequently asked questions
What does a correlation of 0.8 mean?
That two assets' daily returns moved in the same direction most of the time, with a strong linear relationship. A correlation of 1 means they moved in lockstep, 0 means no linear relationship, and minus 1 means they moved in exact opposition. Correlation says nothing about the size of the moves, only their direction and consistency.
How is this matrix calculated?
Pearson correlation of daily log returns over the trailing year, roughly 250 trading days, using only days where every selected asset traded. Prices are daily closes. The matrix is recomputed each trading day after the close.
Why does correlation matter for diversification?
A portfolio's risk depends on how its holdings move together, not just on how risky each one is. Two assets with a correlation of 0.95 are close to one bet; adding the second barely reduces risk. Assets with correlations near zero or negative do most of the diversification work, which is why bonds, gold and managed futures appear in portfolios despite lower expected returns.
Does correlation stay stable?
No, and that is the main limitation. Correlations between risk assets tend to rise sharply in a crisis, when diversification is needed most. The stock-bond correlation in particular has flipped sign across decades depending on whether inflation or growth was the dominant worry. Read any matrix as a description of the recent past.
Which assets can I compare?
Forty-plus major ETFs and stocks: the broad US and international indexes, Treasuries of several maturities, corporate and high-yield bonds, gold, silver, oil, commodities, REITs, the dollar, bitcoin, the eleven sector ETFs and the largest US companies. Select up to twelve at a time.