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๐Ÿ”— Analysis Tool

Correlation Matrix

Analyze how currency pairs move in relation to each other for better portfolio diversification.

Timeframe
Pairs

๐Ÿ”— Pair Correlation Matrix

Heatmap showing correlation strength between currency pairs

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Calculating correlations...

Strong Negative
Strong Positive

๐Ÿ“Š Key Insights

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Strong Positive Correlation

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These pairs tend to move in the same direction. Avoid trading both to reduce exposure.

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Strong Negative Correlation

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These pairs move in opposite directions. Use for hedging strategies.

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Uncorrelated Pairs

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Minimal relationship between these pairs. Great for portfolio diversification.

๐Ÿ“š Understanding Correlation

+0.8 to +1.0

Very Strong Positive

Pairs move almost identically. Trading both doubles your exposure to the same risk.

+0.5 to +0.8

Strong Positive

Significant positive relationship. Consider reducing position sizes when trading both.

-0.5 to +0.5

Weak / No Correlation

Independent movement. Ideal for building a diversified portfolio.

-0.8 to -0.5

Strong Negative

Pairs move in opposite directions. Can be used for hedging positions.

-1.0 to -0.8

Very Strong Negative

Near-perfect inverse relationship. Natural hedge against losses.

โ“ Frequently Asked Questions

What is a correlation matrix in forex trading?

A correlation matrix is a tool that shows how currency pairs move in relation to each other. Values range from +1 (move together) to -1 (move opposite). Our correlation matrix helps traders diversify portfolios, avoid over-exposure, and identify hedging opportunities.

How do I calculate currency pair correlation?

Correlation is calculated using the Pearson correlation coefficient on price changes over a period. Formula: r = ฮฃ[(x-xฬ„)(y-ศณ)] / โˆš[ฮฃ(x-xฬ„)ยฒ ร— ฮฃ(y-ศณ)ยฒ]. Our correlation matrix computes this automatically for all major pairs across multiple timeframes.

Where does the correlation data come from?

Our correlation data is calculated from real-time forex prices provided by Massive.com, which sources data directly from major exchanges. Our correlation matrix is updated every 60 seconds during market hours.

Why are EUR/USD and GBP/USD positively correlated?

Both pairs have USD as the quote currency. When USD weakens, both EUR/USD and GBP/USD tend to rise. The European and UK economies also have strong trade ties. Our correlation matrix typically shows +0.80 to +0.90 correlation between these pairs.

Why are EUR/USD and USD/CHF negatively correlated?

EUR/USD has USD as quote currency, while USD/CHF has USD as base. When USD strengthens, EUR/USD falls but USD/CHF rises - hence the inverse relationship. Our correlation matrix typically shows -0.85 to -0.95 correlation between these pairs.

Does correlation change over time?

Yes! Correlations are not fixed. They can shift during major economic events, policy changes, or market regime shifts. Always check current correlations before trading. Our correlation matrix offers multiple timeframes (1H to 1M) to see how correlations evolve.

How can I use correlation for hedging?

If you're long on EUR/USD, a position in USD/CHF (negatively correlated) can act as a hedge. If EUR/USD drops, USD/CHF typically rises, offsetting some losses. Use our correlation matrix to find pairs with -0.80 or stronger negative correlation for effective hedging.

What is a good correlation for portfolio diversification?

For diversification, look for pairs with correlation between -0.30 and +0.30 (uncorrelated). Trading highly correlated pairs (+0.80 or more) is like doubling your exposure. Our correlation matrix highlights uncorrelated pairs that are ideal for diversification.

Should I avoid trading positively correlated pairs?

Not necessarily, but be aware that trading two pairs with +0.90 correlation is similar to doubling your position size. If you trade both EUR/USD and GBP/USD long, reduce position sizes or treat them as one trade. Our correlation matrix helps identify these situations.

How do I read the correlation matrix heatmap?

Green cells indicate positive correlation (pairs move together), red cells indicate negative correlation (pairs move opposite), and gray/neutral cells show low correlation. Darker colors mean stronger correlation. Use our correlation matrix heatmap to quickly scan all pair relationships.