Major, minor, and commodity pair correlations — understand your portfolio risk before placing trades
Practice Any Pair Free →Replace the static square
FIELD 24Use the printable matrix as an orientation aid, then calculate correlation on the returns, timeframe, and date range relevant to the portfolio. Price-level correlation and an old long-term average can give a misleading sense of current exposure.
A correlation cell is a dated measurement, not a permanent property of two symbols.
| Pair Relationship | Typical Correlation | Why It Matters |
|---|---|---|
| EURUSD ↔ GBPUSD | +0.80 to +0.90 | Both pairs move together vs USD. Trading both long = doubling USD exposure, not diversifying. |
| EURUSD ↔ USDCHF | −0.85 to −0.95 | Near-perfect inverse. Long EURUSD + long USDCHF ≈ hedged position. Use for risk reduction. |
| EURUSD ↔ USDJPY | −0.40 to −0.60 | Moderate inverse — not reliable enough to assume hedge. Check weekly before using. |
| GBPJPY ↔ EURJPY | +0.90 to +0.96 | Extremely correlated — both JPY cross pairs. Don't trade both as separate diversified ideas. |
| XAUUSD ↔ EURUSD | +0.50 to +0.70 | Gold often moves with EUR vs USD (both weaken when USD strengthens). Stacks risk if combined. |
| AUDUSD ↔ XAUUSD | +0.70 to +0.85 | Australia's economy is gold-linked. When gold rises, AUD typically follows. Doubles commodity exposure. |
| USDCAD ↔ Oil prices | −0.60 to −0.80 | Canada exports oil. Rising oil → stronger CAD → falling USDCAD. Watch WTI before trading CAD. |
| NZDUSD ↔ AUDUSD | +0.85 to +0.95 | Both commodity/risk-on currencies. Almost always move together — not two separate ideas. |
| USDJPY ↔ S&P 500 | +0.50 to +0.70 | Risk-on: stocks up → USDJPY up (carry trade). Risk-off: stocks crash → JPY strengthens sharply. |
Beginner exploration
Open each answer for a plain-language way to read Forex Pairs Correlation Matrix 2026, test it carefully and decide what to explore next.
This page focuses on “Forex Pairs Correlation Matrix 2026”.Use a printable forex pair correlation matrix to review overlapping currency exposure, inverse relationships, rolling windows, and portfolio risk.For “Forex Pairs Correlation Matrix 2026”, a beginner should identify what the worksheet measures, assumes or teaches before acting on its conclusion.Treat this page's account of “Forex Pairs Correlation Matrix 2026” as a learning reference rather than a prediction, signal or promise of future performance.
For “Forex Pairs Correlation Matrix 2026”, read the instructions once before filling any field, then use one consistent definition throughout the sheet.While exploring “Forex Pairs Correlation Matrix 2026”, complete a single real example before copying the template across a larger sample.Keep your “Forex Pairs Correlation Matrix 2026” record honest: write unknown inputs as unknown instead of filling them with a convenient estimate.Before leaving “Forex Pairs Correlation Matrix 2026”, review the completed record for missing context before using it to change a trading rule.
Turn one idea from “Forex Pairs Correlation Matrix 2026” into a rule with explicit inputs, dates, costs and pass-or-fail conditions.Ask AI to expose missing assumptions in that “Forex Pairs Correlation Matrix 2026” test, not to guess the next market move.Use the FXAbsolute AI Backtesting Lab to inspect calculations connected to “Forex Pairs Correlation Matrix 2026” and the assumptions behind them.Reproduce any important “Forex Pairs Correlation Matrix 2026” result and reserve unseen data before deciding that an apparent pattern is useful.
Continue your exploration of Forex Pairs Correlation Matrix 2026 with the beginner AI prompt guide, or inspect public calculations in the AI Backtesting Lab.