The Forex Correlation Matrix shows how 28 currency pairs move together or apart, using the Pearson correlation coefficient (-1.00 to +1.00) across 1H, 1D, 1W and 1M timeframes. +1 means pairs move together, -1 means opposite, 0 means independent. It flags overlapping risk, finds hedges, and estimates effective exposure as (1 + correlation) lots.
- Correlation is measured with the Pearson coefficient from -1.00 (perfect inverse) to +1.00 (perfect positive); 0 means the pairs move independently.
- The tool covers 28 pairs across four timeframes (1H, 1D, 1W, 1M), with Matrix, Sorted List, and Single Pair views plus Diversification and Hedge tools.
- Correlations of +0.70 or stronger (or -0.70 or weaker) are the actionable thresholds; the Diversification Checker flags any pair with absolute correlation of 0.70 or more as High Risk.
- Two same-direction positions on correlated pairs carry an effective exposure of roughly (1 + correlation) lots — e.g. +0.85 correlation equals about 1.85 lots of risk.
- For hedging, the Hedge Finder rates correlations of -0.70 or stronger as an Excellent Hedge; a pair at -0.90 offsets about 90% of price movement.
Forex Correlation Matrix
See how 28 currency pairs move together or apart. Identify hidden risk, find hedges, and build diversified portfolios.
Risk Analysis Tools
Diversification Checker
Enter 2-3 pairs you're trading to check for overlapping risk.
Hedge Finder
Select a pair to find the best hedging candidates (strongest negative correlations).
How to Use the Correlation Matrix
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Choose Your Timeframe
Select the timeframe that matches your trading style. Day traders should use 1H or 1D. Swing traders should use 1D or 1W. Position traders should use 1W or 1M.
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Read the Heatmap
Green cells indicate positive correlation (pairs move together). Red cells indicate negative correlation (pairs move in opposite directions). Grey cells near zero mean the pairs move independently.
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Check Your Portfolio
Use the Diversification Checker to see if your open trades have overlapping risk. Two highly correlated positions in the same direction doubles your exposure.
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Find Hedges
Use the Hedge Finder to identify pairs that offset your current exposure. A strong negative correlation means gains in one pair offset losses in the other.
What is Currency Correlation?
Currency correlation measures how two forex pairs move relative to each other over a given period. It is expressed as a coefficient between -1.00 and +1.00 using the Pearson correlation formula. This statistical relationship helps traders understand whether their positions are diversified or concentrated.
When two pairs have a correlation near +1.00, they tend to move in the same direction at the same time. When the correlation is near -1.00, they tend to move in opposite directions. A correlation near 0.00 means the pairs move independently with no predictable relationship.
Understanding correlation is fundamental to forex risk management. Without it, a trader holding EUR/USD and GBP/USD might believe they have two independent positions, when in reality both trades are essentially bets against the US dollar.
Reading Correlation Coefficients
+0.70 to +0.89 = Strong Positive
+0.40 to +0.69 = Moderate Positive
+0.20 to +0.39 = Weak Positive
-0.19 to +0.19 = Negligible (independent)
-0.39 to -0.20 = Weak Negative
-0.69 to -0.40 = Moderate Negative
-0.89 to -0.70 = Strong Negative
-1.00 to -0.90 = Very Strong Negative (move opposite)
For practical trading decisions, correlations above +0.70 or below -0.70 are the most actionable. Anything between -0.40 and +0.40 generally means the pairs are sufficiently independent for diversification purposes.
Why Correlation Matters for Risk Management
The most dangerous mistake in forex portfolio management is taking multiple positions that look different but behave the same. A trader long EUR/USD, long GBP/USD, and short USD/CHF might think they have three separate trades, but all three are essentially short USD positions. If the dollar rallies, all three trades lose simultaneously.
Correlation-aware risk management treats correlated positions as a single combined exposure. If EUR/USD and GBP/USD have a +0.85 correlation, going long both with 1 lot each is roughly equivalent to a 1.85 lot position in terms of risk. This "effective position size" often exceeds what traders would willingly risk on a single trade.
The solution is not to avoid correlated pairs, but to size positions appropriately when trading them together. If you normally risk 2% per trade, two highly correlated positions should each be sized for 1% risk to maintain your overall risk budget.
How Correlations Change Over Time
Forex correlations are not static. They evolve as economic fundamentals shift, central bank policies diverge, and geopolitical events unfold. The EUR/USD and GBP/USD correlation historically stays between +0.70 and +0.95, but it dropped significantly during the Brexit vote period when GBP-specific factors dominated.
Shorter timeframes (1H, 4H) show more volatile correlations because temporary factors like news releases, session opens, and liquidity conditions create noise. Longer timeframes (1W, 1M) smooth out this noise and show more stable, fundamental-driven relationships.
This is why the matrix offers multiple timeframes. Check correlations on the timeframe you trade, but also verify on a longer timeframe to confirm the structural relationship is intact.
Trading Correlated Pairs — The Hidden Risk
Many retail traders unknowingly concentrate their risk by trading correlated pairs in the same direction. Common examples of hidden concentration include being long EUR/USD and long GBP/USD (both are short-USD bets), being long AUD/USD and long NZD/USD (both are commodity-long, short-USD bets), or being long EUR/USD and short USD/CHF (both profit from USD weakness).
The risk multiplier is significant. Two 1-lot positions on pairs with +0.90 correlation have an effective exposure of approximately 1.90 lots. Three such positions create roughly 2.70x exposure. If your risk management assumes independent positions, your actual risk is far higher than calculated.
The fix is straightforward: use the diversification checker before opening new positions, and adjust lot sizes down when adding correlated trades to your portfolio.
Using Negative Correlation for Hedging
Negative correlation is the foundation of forex hedging. If you hold a long EUR/USD position but want to reduce directional risk, you can open a position in a pair with strong negative correlation to EUR/USD, such as USD/CHF (typically -0.85 to -0.95).
A perfect hedge (-1.00 correlation) would eliminate all directional risk, but also eliminate all profit potential. Practical hedges use correlations between -0.70 and -0.90, which reduce risk while still allowing some directional exposure.
Hedging with correlated pairs is often simpler and cheaper than options-based hedging, but it requires ongoing monitoring since correlations can shift. Always verify the current correlation before relying on a hedge, and be prepared to adjust if the relationship weakens.
Correlation vs Causation in Forex
EUR/USD and GBP/USD correlate strongly, but EUR does not cause GBP to move. Both pairs react to USD-driven events: Fed decisions, US economic data, risk sentiment shifts. The shared USD component creates the correlation. Understanding this distinction is critical because it tells you when correlations will hold (USD-driven moves) and when they will break (EUR-specific or GBP-specific events).
Similarly, AUD/USD and NZD/USD correlate due to shared drivers: commodity prices, Asian risk sentiment, and general USD direction. But RBA-specific events can cause AUD to diverge from NZD temporarily, breaking the correlation. Traders who understand the underlying driver can anticipate these breakdowns.
Common Correlations Every Trader Should Know
Frequently Asked Questions
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A forex correlation matrix shows how currency pairs move relative to each other, measured by correlation coefficients from -1.00 to +1.00. A value near +1 means the pairs move together, -1 means they move in opposite directions, and 0 means they move independently. Traders use it to manage portfolio risk and avoid unintentional overexposure.
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Correlation is calculated using the Pearson correlation coefficient, which measures the linear relationship between two pairs' price movements over a given period. The formula compares how each pair's returns deviate from their average. Values range from -1 (perfect inverse) to +1 (perfect positive correlation).
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A correlation above +0.70 or below -0.70 is considered strong. Above +0.90 or below -0.90 is very strong. For example, EUR/USD and GBP/USD typically have a correlation around +0.85, meaning they move in the same direction about 85% of the time.
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Because USD is the quote currency in EUR/USD but the base currency in USD/CHF. When the dollar strengthens, EUR/USD falls while USD/CHF rises. The shared USD component on opposite sides creates the inverse relationship, typically around -0.85 to -0.95.
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Trading two highly correlated pairs in the same direction doubles your exposure to the same market move. For example, going long EUR/USD and long GBP/USD with 0.85 correlation is like a 1.85x position. Use the diversification checker to identify overlapping risk.
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Yes. Correlations shift with changing interest rate differentials, economic conditions, political events, and market sentiment. Correlations are typically more stable on longer timeframes (weekly, monthly) and more volatile on shorter ones (hourly).
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If you have a long EUR/USD position and want to reduce risk, you can go long on a pair with strong negative correlation like USD/CHF. The hedge pair's gains should partially offset losses on your original position. The stronger the negative correlation, the better the hedge.
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Match the correlation timeframe to your trading timeframe. Day traders should use hourly or daily. Swing traders should use daily or weekly. Position traders should use weekly or monthly. Longer timeframes show more stable, reliable correlations.
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AUD/USD and NZD/USD typically show very high positive correlation (0.85-0.95) because both are commodity currencies with similar economic drivers. However, divergence can occur during country-specific events like divergent central bank decisions or commodity-specific shocks.
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Correlation means two pairs tend to move together, but one doesn't necessarily cause the other. EUR/USD and GBP/USD correlate because both are driven by USD strength, not because EUR directly drives GBP. Understanding the underlying driver helps predict when correlations will hold or break.
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Review correlations monthly for swing and position trading. For day trading, check weekly. Major events like central bank decisions or elections can shift correlations rapidly. Always recheck after significant market-moving events.
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Yes. When two normally correlated pairs diverge, traders bet on mean reversion. For example, if EUR/USD drops but GBP/USD doesn't follow, you might short GBP/USD expecting it to catch up. This is called pairs trading or statistical arbitrage. It works best with very stable, long-term correlations.