Krzysztof Kania

Self-augmenting technical indicator with recurrent reinforcement learning: evidence from Forex markets

Skilled human traders often outperform rule-based algorithmic systems by intuitively recognizing path-dependent patterns in technical indicators. We introduce a reinforcement learning framework that extracts sequential information solely from technical indicator histories, specifically targeting the additional inform...