Color-Coded Correlation Matrix
A full 7×7 heat map showing Pearson correlation coefficients between EUR, GBP, JPY, AUD, CAD, CHF and NZD versus USD. Green cells flag pairs that move in sync; red cells expose inverse movers — no spreadsheet required.
Currency Correlation
Understand how currency pairs move together, identify diversification opportunities, and manage your trading portfolio risk with real-time correlation analysis.
Currency Pair Correlation
⏳ Loading correlation data…
Correlation Scale
Strong Negative (-1.0 to -0.7)
Moderate Negative (-0.7 to -0.3)
Weak (-0.3 to 0.3)
Moderate Positive (0.3 to 0.7)
Strong Positive (0.7 to 1.0)
Click any cell for rolling chart & scatter plot · Data: ExchangeRate-API
ExchangeRate-API Data
7 Major Currency Pairs
6 Timeframes: 5–180 Days
Pearson Correlation Algorithm
Updated Daily
100% Free — No Sign-up
✦ What's Inside
Built for Serious Forex Traders
Every feature delivers actionable correlation data before you place a trade — not after.
Six Selectable Timeframes
Switch between 5, 10, 30, 60, 90 and 180-day windows in a single click. Short windows reveal recent regime shifts; longer windows expose structural pair relationships.
Rolling Correlation Line Chart
Click any matrix cell to open a time-series chart showing how that pair's correlation has evolved day-by-day. Spot exactly when a reliable relationship broke down.
Scatter Plot Pair Analysis
Each trading day is plotted as a dot, color-graded from blue (oldest) to red (most recent). See at a glance whether a correlation is tightening or loosening.
Currency Cluster Grouping
Average-linkage hierarchical clustering groups currencies that share similar macro drivers. Trade one pair from each cluster for a genuinely uncorrelated portfolio.
Daily % Change Bar
Live ticker above the matrix shows today's percentage move for every major versus USD. Cross-reference current momentum against structural correlation picture.
✦ The Scale Explained
Reading the Coefficient
The Pearson coefficient runs from −1.0 to +1.0. Here is what each zone means for your trades.
+1.0
Strong Positive Correlation
Both pairs move in near-identical proportion and direction. Holding long positions in both doubles your directional bet.
e.g. EUR/USD ↔ GBP/USD0.0
Neutral / No Correlation
Movements are statistically independent. Pairing these reduces overall volatility without sacrificing return.
Ideal for diversification−1.0
Strong Negative Correlation
When one pair rises, the other falls by a comparable amount. Backbone of natural forex hedging.
e.g. EUR/USD ↔ USD/CHF✦ Practical Applications
Four Ways Traders Apply This Data
Correlation numbers without context are just noise. How pros turn them into real decisions.
01
Control Overexposure Risk
Holding two pairs with +0.85 correlation means a single adverse move hits both positions. Spotting this before entry lets you size down or skip.
02
Build a Genuinely Diversified Portfolio
Select one pair from each correlation cluster to hold fewer, truly independent positions — improving risk-adjusted returns.
03
Construct Natural Hedges
A long EUR/USD can be partially hedged with a smaller long USD/CHF, a historically negatively correlated pair.
04
Cross-Validate Trade Signals
A breakout on EUR/USD gains conviction when GBP/USD (correlated pair) shows the same structure. Correlation as a second-opinion filter.
✦ Step-by-Step
How to Use the Calculator
From opening the tool to applying correlation data — five steps, under two minutes.
1
Pick Your Timeframe
Choose 5, 10, 30, 60, 90 or 180 days to match your holding period.
2
Read the Heat Map
Green cells (≥0.7) = pairs move together. Red (≤−0.7) = diverge. Yellow = neutral.
3
Drill Into Any Cell
Click a matrix cell to open rolling chart & scatter plot — see how correlation shifted day-by-day.
4
Check the Clusters
Enable Cluster view to see which currencies share macro drivers. Pick one from each cluster for diversification.
5
Apply to Your Plan
Adjust position sizes, confirm directional bias, or identify hedge candidates before placing orders.
✦ Quick Reference
Forex Correlation Glossary
Key terms defined in plain language for traders at every experience level.
Pearson Correlation Coefficient
Mathematical formula ranging from −1 to +1 measuring linear relationship between two currency price series.
Rolling Correlation
Recalculates coefficient for each day using a sliding window — shows how relationship evolves over time.
Positive Correlation (≥ 0.7)
Two pairs that tend to rise and fall together. Trading both multiplies exposure without adding diversity.
Negative Correlation (≤ −0.7)
Pairs that typically move in opposite directions. Foundation of natural forex hedging.
Average-Linkage Clustering
Hierarchical algorithm that groups currencies based on average correlation distance.
Correlation Breakdown
Historically stable relationship weakens or reverses — often triggered by central bank divergence or shocks.
✦ Common Questions
Frequently Asked Questions
Currency correlation is a statistical measure — expressed as a coefficient from −1.0 to +1.0 — of how consistently two forex pairs move relative to each other. A value near +1.0 means both pairs rise and fall together. Near −1.0 means they move in opposite directions.
EUR/USD and GBP/USD historically maintain strong positive correlation (0.75–0.95). EUR/USD and USD/CHF often show strong negative correlation (−0.85 to −0.98). AUD/USD and NZD/USD also exhibit persistent positive correlation.
Correlations are dynamic. Short-term windows can swing after high-impact events, while longer windows shift as central bank policies evolve. Cross-referencing short and long windows separates anomalies from structural patterns.