Forums  > Trading  > Correlation Data across 40,000+ Stocks, ETFs & Mutual Funds - Looking For Feedback Please  
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Total Posts: 3
Joined: Mar 2019
Posted: 2019-03-09 18:36

We stumbled this post from 10 years ago that asked for a tool that asks the question:
Hi guys. Do you know a tool to search the stock universe by correlation to a future? For example "search companies whose absolute correlation to the copper future is high/greater than x".


We (Raltin) have exactly such a technology that does what the post asked for. It runs 2.5+ billion correlations across 40,000+ stocks, ETFs & mutual funds and shows the highest/least/inversely correlated stocks/ETFs/mutual funds for a given ticker.

Here are a few examples:
(this example has the correlation charts as well)Mutual Fund: TRBCX:
Stock- WMT -

You can search for any ticker and you can automatically get all the tickers that are highly correlated and inversely correlated.

Would love to get feedback on this forum on how you may be able to use this data/tool in your investing/risk management and other roles.



Total Posts: 3453
Joined: Jun 2004
Posted: 2019-03-09 21:16

Yeah, and how are correlations calculated?
What's the method? Assumptions? Outliers?
Or just trust us? Piss

The older I grow, the more I distrust the familiar doctrine that age brings wisdom Henry L. Mencken


Total Posts: 43
Joined: Jul 2018
Posted: 2019-03-11 04:36
+1 pj.

40,000 x 1,250~ as you're doing it is tractable in a few minutes on a commodity laptop. See this R package. You may find a more interesting use case if you're building a connectivity graph, because then a naive algorithm is quadratic in the number of vertices in the upper triangular of your output.


Total Posts: 3
Joined: Mar 2019
Posted: 2019-03-11 15:05
Hi PJ & Prikolno,

Thanks for getting back to us.

The core calculation between an any two securities (TRBCX & IWF) is a simple correlation/regression formula on daily closing price change. Here are the charts for this ticker which is transparent:

The challenge in what we are doing is not as much as the co-relation calculations but the computation for ALL correlation for all possible combinations and then ranking. This requires a fairly sophisticated/ non-trivial computing resources and a lot of human/QC checking to see if the correlations are not purely junk. For e.g. In our shortlist of rankings, we exclude leveraged ETFs for certain securities since their correlations will be high but the hedge ratios will be very different.

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