We state sufficient conditions for asymptotic normality of convergent estim
ates of conditional quantiles, irrespective of data dependence and consider
the particular case of cu-mixing stationary processes under optimal condit
ion of convergence. We apply this result to confidence intervals building f
or time series predictors based on nonparametric estimates of the condition
al median.