In this paper, we propose a drift estimation method for non-linear stochastic processes. In particular, we focus on producing strongly consistent estimators in the case of discrete observations, and present a proof of convergence of these estimators. Potential applications of these estimators include detecting cyclical and other non-linear trends inherent to asset prices.
