Correlation Coefficient in Forex
A clear definition of Correlation Coefficient, with practical context for reading markets and making better trading decisions.
Definition
The correlation coefficient is a statistical measure of how strongly two variables move together in a linear relationship. It ranges from -1 to +1.
Reading the Scale
A value near +1 means the two series have tended to move in the same direction. A value near -1 means they have tended to move in opposite directions. A value near 0 means there has been little linear relationship over the measured period.
Correlation Is Not Causation
Two markets can move together without one causing the other to move. Correlation can also change with time, timeframe, and market regime. A historical coefficient should therefore be treated as context, not as a permanent relationship.
Key Takeaway
Correlation describes co-movement, not cause-and-effect. The coefficient is useful only for the period and data used to calculate it.
Practical forex example
Why Correlation Coefficient matters
Understanding Correlation Coefficient helps traders interpret market information, plan decisions, and manage risk with more context.
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