Stock Correlation Matrix

Daily-return correlation of mega-cap stocks and ETFs. Green moves together, red moves opposite.

Use this before you stack the same factor: long NVDA and long QQQ is often two tickets on one Nasdaq move. GLD is in the grid as a simple risk-off comparison.

TickerAAPLMSFTNVDAAMZNGOOGLMETATSLASPYQQQGLD
AAPL
MSFT
NVDA
AMZN
GOOGL
META
TSLA
SPY
QQQ
GLD

Tap a cell for the pair vs pair reading.

Pearson correlation of daily percent changes. Not a forecast and not your broker’s feed.

What is stock correlation?

Correlation measures how two markets have moved together, from minus 1 (always opposite) to plus 1 (always together). This matrix covers AAPL, MSFT, NVDA, AMZN, GOOGL, META, TSLA, SPY, QQQ, GLD.

It is computed as the Pearson correlation of daily percent changes from daily closing prices from public market data, over 1M (31 days), 3M (93 days), 6M (186 days), 1Y (370 days).

How to use the stock correlation matrix

  1. Pick a window: 1M for recent behaviour, 3M as a default, 6M or 1Y for the slower background link.
  2. Find the two markets you plan to trade and tap their cell to open the pair page.
  3. If the reading is 0.7 or higher, treat positions in the same direction (for example NVDA and QQQ) as one bet and split your risk.

Common correlation mistakes

  • Treating correlation as fixed. It changes with news and market regimes.
  • Stacking several highly correlated positions and calling it diversification.
  • Using a negative pair as a perfect hedge. It only offsets part of the time.

Educational content, not investment advice. Trading leveraged products such as CFDs and forex carries a high risk of losing money.

Frequently Asked Questions

It shows how daily returns of major stocks and ETFs moved together, from minus 1 (opposite) to plus 1 (same direction). NVDA and QQQ are often highly positive. GLD vs tech names is often weaker or negative in risk-on tapes.
Pearson correlation of overlapping daily percent changes over 1 month, 3 months, 6 months, or 1 year. Missing days are skipped so every pair uses the same calendar.
Two names that print 0.90 are almost the same bet. Mixing in a weakly correlated sleeve (for example gold vs Nasdaq) can cut the size of a single-factor hit. Correlation changes; it is not a hedge guarantee.

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