How to Read and Interpret Correlation Tables
"Master the skill of reading and interpreting correlation tables with ease. Learn how to analyze relationships between variables, spot patterns, and apply insights to research or trading."
Wikilix Team
Educational Content Team
9 min
Reading time
Advanced
Difficulty
If you have ever studied forex markets, you have probably looked at a correlation table. At first glance, the chart may seem intimidating; you see rows and columns filled with numbers ranging from -1.00 to +1.00. But when you learn to read the correlation table, it becomes one of the most useful tools in your trading toolbox.
Think of the correlation table like a map showing you how pairs move relative to each other. Just like a weather map shows you where clouds are headed, the correlation table tells you if pairs will likely move together, in the opposite direction, or independently.
A correlation table usually has popular currency pairs on the vertical and horizontal axes. Where the rows and columns intersect, you will get a number, which tells you how strongly the two pairs interrelate, as well as the direction in which they move.
A +1.00 means the pairs are moving almost identically.
A -1.00 means they usually move in the opposite direction.
A 0 means that the two pairs have little or no interrelation.
It is that simple—understanding how best to use the table is the tricky part.
For example, let's say you picked up the correlation between the EUR/USD and the GBP/USD. If it says the correlation coefficient is +0.90, you can see that they are very positively correlated.In reality, if the euro appreciates against the dollar, so too will the pound.
Now, let's take a look at EUR/USD and USD/CHF. If the correlation value is -0.92, that is a strong negative correlation. If the euro is appreciating against the dollar, the Swiss Franc is generally depreciating against the dollar.
Understanding these relationships prevents you from trading in the dark. Without understanding correlations, you may assume that you are diversifying your portfolio by taking multiple trades, when in reality you are doubling your risk.
Here is a simplified view of how correlation values generally look like:
Correlation Value | Meaning | Practical Takeaway |
+0.80 to +1.00 | Very strong positive correlation | Pairs usually move together |
+0.50 to +0.79 | Moderate positive correlation | Often aligned, but not always |
-0.50 to -0.79 | Moderate negative correlation | Frequently move opposite |
-0.80 to -1.00 | Very strong negative correlation | Almost always opposite |
-0.49 to +0.49 | Weak or no correlation | Moves are largely independent |
This table offers a quick “cheat sheet” on how to interpret those numbers.
Correlation tables are not simply numbers, they are decision factors. Let’s say you observe that EUR/USD and GBP/USD have a strong positive correlation. When you take a buy position in both pairs you are not trading independent trades; you are making the same bet twice. If the dollar strengthens, you then can lose on both positions at once.
Correlations also assist in mitigation. For example, you are long on EUR/USD, but you are looking for protection, if you take a smaller opposite position in USD/CHF you are mitigating risk, as the two the positively correlated.
Additionally and most importantly, correlations are not forever. They shift as economic policy evolves, interest rates change, and global events happen. A pair that moved together in the past two months may drift apart, or even reverse directions.
This is why traders regularly check updated correlation tables versus working off old data. It’s like a GPS app: The app is not very useful if the application is not current to what you should avoid on the road, or even regardless of how many previous roads towards your destination you are supplying, because the application often relies on live traffic.
Many traders make two significant mistakes when using correlation tables: the first, is assuming correlation is perfect even with a correlation value of +0.95 they do not assume the two pairs will move together all the time. The market is not predictable. The second is not considering the timeframe of the correlation. A typically strong correlation on the daily chart may be weak on the weekly chart.
Avoiding these two pitfalls using these simple ideas helps you get some meaning out of the data.
A correlation table is more than just a row of numbers on a computer screen, it is an important guide to meaningful trading. By learning how to read a correlation table with these ideas you will reduce invisible risks, find hedging opportunities, and capture a more clear idea of the bigger market picture.
Next time you are preparing to place multiple trades, take a minute to crab a correlation table. It may help you avoid doubling your risk or missing out on an opportunity.
For a deeper exploration of this subject in relation to how to take this knowledge into practice, check out the Learn section of each aspect of how traders use correlations in trade strategies. It’s a simple next step to add value to your use of the correlations in your trading.
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