  In this paper we study some asymptotic properties of the kernel conditional
quantile estimator with randomly left-truncated data which exhibit some kind of
dependence. We extend the result obtained by Lemdani, Ould-Sa\"id and Poulin
[16] in the iid case. The uniform strong convergence rate of the estimator
under strong mixing hypothesis is obtained.
