Correlation is not an objective measure but depends on the sample; the real issue in decision-making is the relationship between changes in two variables under your observation, and understanding this requires accounting for the payoff function—the Kelly Criterion or entropy-maximizing frameworks show that low correlations are mostly noise and 0.5 is nowhere near halfway between 0 and 1 in terms of utility.