Correlation Meter

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!
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In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

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