Pearson Correlation Plus MT5 Indicator

This sophisticated indicator, extensively refined and enhanced by our team, works alongside the MACD and features an impressive success rate. You will undoubtedly value its effectiveness once you make a purchase.

In statistics, the Pearson correlation coefficient (PCC) assesses the linear relationship between two data sets. It represents the ratio of the covariance of two variables to the product of their standard deviations, essentially standardizing the covariance to always fall between -1 and 1. The measure specifically captures linear correlations and does not account for other types of relationships. For example, one might observe that the age and height of children in a primary school exhibit a Pearson correlation coefficient that is significantly above 0 but below 1, indicating a strong but not perfect linear relationship.

The Pearson correlation coefficient was formulated by Karl Pearson, building on a concept originally proposed by Francis Galton. The mathematical framework for this coefficient was earlier developed and published by Auguste Bravais.