Security is the real risk here; reducing realization to only direct physical action on markets is a limited vision that ignores the impact of quantitative evidence.
For a trader, executing Kolmogorov-Smirnov tests transforms an abstract idea of "distributional similarity" into a tangible statistical measure with immediate implications.
If a KS test reveals that the distribution of a crypto asset's returns diverges strongly from the benchmark, it concretizes a significant risk and justifies a position adjustment.
It is the asymmetry of the information obtained through this analysis that allows me to size up an opportunity or mitigate a very real risk.