Reverse trend correlation?

[qlai]

Are there assets which are by their very nature behave in the opposite way as far as trendiness is concerned?

So I am looking for two asset classes where if one is trending, the other is expected to be non-trending. This relationship doesn't have to be perfect/strong, but generally speaking.

What is the proper scientific word for this kind of relationship?

 

[Robert Morse]

Inversely correlated.

 

[Robert Morse]

VIX and SPX have an inverse correlation.
I've heard GLD vs USD - but have never reviewed the data.

 

[fordewind]

VIX and SPX have an inverse correlation.
I've heard GLD vs USD - but have never reviewed the data.

What else,Boby?Bring it on!

 

[qlai]

VIX and SPX have an inverse correlation.

No, not inverse correlation. That's when X goes up, Y goes down.

I'm looking for - When X moves, Y stays flat. Once X starts flattening out, Y starts moving/trending.

Like when I stop moving, my weight goes up, but when I start moving my weight stays the same.

 

[Robert Morse]

What else,Boby?Bring it on!

Whisky and good decisions.

 

[MrMuppet]

No, not inverse correlation. That's when X goes up, Y goes down.

I'm looking for - When X moves, Y stays flat. Once X starts flattening out, Y starts moving/trending.

Like when I stop moving, my weight goes up, but when I start moving my weight stays the same.

erm...you mean not correlated?? Like in: correlation is zero? When Y goes up, whatever X does is random?

 

[tiddlywinks]

 

[qlai]

When Y goes up, whatever X does is random?

Is my question so idiotic that people are confused by it!? . Not random. There is a relationship ... X moving up or down causes Y to flatten out (pinned). But if X starts flattening out, Y starts moving (towards or away from) and vice versa. It doesn't matter which is driving which. This is my proprietary charting platform in case you wandering.

 

[yg10]

Is my question so idiotic that people are confused by it!? . Not random. There is a relationship ... X moving up or down causes Y to flatten out (pinned). But if X starts flattening out, Y starts moving (towards or away from) and vice versa. It doesn't matter which is driving which. This is my proprietary charting platform in case you wandering.

View attachment 197535

I do not think that correlation is applicable in this case. Correlation coefficient is equal to 1 (-1) when there is Y is a linear function of X. We can say monotonic instead of linear when using Spearman rank correlation.
Probably other methods should be used here.