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Risk Management

Correlation

How closely two currency pairs move in relation to each other.

Full Definition

Currency correlation measures how two pairs move in relation to each other, ranging from +1 (perfect positive) to -1 (perfect negative). EUR/USD and GBP/USD often show strong positive correlation, tending to move together because both involve the US dollar on one side and European currencies on the other. EUR/USD and USD/CHF typically show strong negative correlation, moving in opposite directions. Understanding correlation is essential for avoiding hidden concentration risk.

Correlation matters because trading multiple highly correlated pairs is essentially one bigger trade in disguise. If you are long EUR/USD, long GBP/USD, and long AUD/USD at the same time with equal position sizes, you are effectively short USD with three times the intended exposure. When USD rallies unexpectedly, all three trades lose simultaneously, producing a much bigger drawdown than any single trade would suggest. Professional risk management accounts for correlation when sizing positions to keep total directional exposure under control.

For example, if EUR/USD and GBP/USD show 0.85 correlation over recent months, a 100 pip adverse move on one pair typically comes with roughly an 85 pip move on the other. A trader long 1 standard lot of each during a USD rally might lose $1,000 on EUR/USD and $850 on GBP/USD for a combined $1,850 loss. Had they recognized the correlation and sized only one position at 0.5 lots each, the loss would have been about $925, half the damage with still the same conceptual trade.

In copy trading, correlation-aware diversification is built into the master strategy. SteadyFlowFX's 9 algorithms trade 8 currency pairs with attention to correlation so total portfolio risk stays controlled. The verified Myfxbook 34.2 percent max drawdown reflects a portfolio that has been stress-tested through various correlation regimes. Subscribers benefit from this without needing to manually monitor correlation themselves, and the 1.73 profit factor holds up because the underlying risk is properly distributed.

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