Forex Correlation Tool
Analyze historical correlations between major forex pairs. Understand which pairs move together or inversely to avoid compounding risk through correlated positions.
Pair Relationship Analyzer
Forex Correlation Tool
Base Pair
Very Strong +
Very Strong −
Strong +
Strong +
Strong −
Moderate +
Moderate +
Moderate −
Weak +
Weak +
Negligible
Correlation Scale
0.7 to 1.0
Strong Positive
0.3 to 0.7
Moderate Positive
-0.3 to 0.3
Negligible
-0.7 to -0.3
Moderate Negative
-1.0 to -0.7
Strong Negative
Correlations are historical approximations and change with market conditions. Data is for educational purposes only.
What Is Forex Pair Correlation?
Forex correlation measures the statistical relationship between two currency pairs — specifically, how often they move in the same or opposite direction over a given period. Correlations range from -1.0 (perfectly inverse) to +1.0 (perfectly identical movement).
+0.7 to +1.0
Strong Positive
Pairs move nearly identically — trading both doubles your risk exposure
-0.3 to +0.3
Negligible
No meaningful relationship — pairs are effectively independent
-0.7 to -1.0
Strong Negative
Pairs move inversely — can be used for natural hedging strategies
How Institutional Traders Use Correlations
Correlation analysis is a core component of institutional portfolio risk management. Professional traders use it to avoid inadvertently doubling their exposure through correlated trades.
A practical example: EUR/USD and GBP/USD have a +0.87 correlation. If you hold 1 lot long EUR/USD and 1 lot long GBP/USD simultaneously, you're not holding two independent trades — you're effectively holding 1.87 lots of USD-short exposure. A strong USD rally would hit both positions nearly simultaneously.
Portfolio construction: Professional desks build forex portfolios by deliberately selecting pairs with low or negative correlations to each other. This reduces the probability that multiple positions hit stop losses simultaneously in a single macro event.
Key Correlation Pairs to Know
EUR/USD vs USD/CHF: typically -0.91 (highly inverse — USD is base vs quote)
EUR/USD vs GBP/USD: typically +0.87 (both USD-quote pairs move similarly)
AUD/USD vs XAU/USD: typically +0.77 (Australia is major gold exporter)
Forex Tools Hub
Explore More Analytics
Combine this tool with real-time currency strength data for a complete institutional trading framework.
Frequently Asked Questions
What is currency pair correlation in forex?
Correlation measures how two currency pairs move relative to each other. A +1.0 correlation means pairs move identically. A -1.0 means perfectly inverse movement. A 0 means no statistical relationship. Correlations between 0.7 and 1.0 (or -0.7 to -1.0) are considered strong and trading-relevant.
Why do EUR/USD and GBP/USD move together?
Both pairs share USD as the quote currency. When the US Dollar strengthens broadly, both EUR/USD and GBP/USD fall simultaneously. Their ~0.87 correlation reflects this structural relationship. However, the correlation is imperfect — EUR-specific or GBP-specific news can temporarily diverge the pairs.
Why is USD/CHF negatively correlated with EUR/USD?
EUR/USD and USD/CHF have an inverse relationship (~-0.91) because USD is the quote in EUR/USD but the base in USD/CHF. When EUR/USD rises (USD weakens), USD/CHF typically falls (also USD weakening). Additionally, EUR and CHF share Swiss/European economic ties.
How does gold correlate with forex pairs?
XAU/USD (gold) is strongly correlated with AUD/USD (~+0.77) because Australia is one of the world's largest gold producers — their economic fortunes are partially tied to gold prices. Gold also has a negative correlation with USD/CHF and shows positive correlation with EUR/USD due to shared USD dynamics.
Do correlations change over time?
Yes — correlations are dynamic. The values shown here are long-term historical averages. During specific macro events (e.g., risk-off crises, Fed policy shifts, commodity shocks), correlations can temporarily break down or strengthen. Correlations should be recalculated over rolling 14/30/90-day windows for current analysis.