Self-augmenting technical indicator with recurrent reinforcement learning: evidence from Forex markets
A reinforcement learning framework that extracts sequential information solely from technical indicator histories, specifically targeting the additional information that static rules might ignore, proves that historical trajectories in technical indicators contain exploitable information that enhances trading performan...