How Features With A Strong Correlation Should Be Treated?

Hey guys,

I am with some difficult to clear my dataset , originally I had 80 features, after apply some ML rules, for example remove a feature that just have null values etc, I am now with 67 features.

I decided to apply correlation, and I have many features with a strong correlation +0.9 or – 0.9 , I saw that I can remove features with a strong correlation.

But I could not find if there is a rule, or which of this feature should I remove.

For example if I have feature A,B,C,D , and A x B and A x C has a strong correlation should I remove A ? or B and C ?

If someone could kind give some help or some documents about It I will be more than glad.

Thank you.