OPEN-SOURCE SCRIPT

Correlation Meter

Actualizado
This script calculates the covariance and correlation coefficient between two markets using arrays.

Lookback: How many bars to perform the calculation on.
Source: Price source to calculate the correlation on.
Reference Market: The reference market to compare to the current market.

It's a simple indicator, but very useful for determining how correlated your preferred markets to trade are.

A correlation reading of +1.0 means the markets are perfectly positively correlated, a reading of -1.0 means they are perfectly negatively correlated.

If you're not sure what correlation & covariance are then Google the terms with "Investopedia" added to the end - they have some great definitions and examples.

For traders this can be useful for deciding how much risk to spread across two markets that have a high correlation, or how to hedge existing positions by trading a negatively correlated market.

For investors this can be useful for building a truly diversified portfolio.

If a market has a high positive correlation, the black line will stay above zero most of the time. If a market has a high negative correlation, the black line will stay below zero most of the time.

A market with no or little correlation will bounce between the two or hover around zero most of the time.

The example market above is comparing Apple's weekly price action to the S&P500's over the past 20 weeks. It has a high positive correlation as the black line is above zero most of the time.

Good luck with your trading!
Notas de prensa
Updated to Pine Script v5
arrayCentered OscillatorscorrelationCorrelation Coefficient (CC)correlationtradecovarianceOscillatorsVolatility

Script de código abierto

Siguiendo fielmente el espíritu de TradingView, el autor de este script lo ha publicado en código abierto, permitiendo que otros traders puedan entenderlo y verificarlo. ¡Olé por el autor! Puede utilizarlo de forma gratuita, pero tenga en cuenta que la reutilización de este código en la publicación se rige por las Normas internas. Puede añadir este script a sus favoritos y usarlo en un gráfico.

¿Quiere utilizar este script en un gráfico?


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