Comparative Evaluation of Hybrid Deep Reinforcement Learning Models with Fixed Risk-Reward Ratios for Intraday Gold Trading
This study proposes a hybrid trading framework that combines a Rule-Based Trading Strategy with a Deep Reinforcement Learning (DRL) agent for intraday gold trading on a 15-minute timeframe. The Rule-Based Trading Strategy generates rule-based signals, while the DRL agent determines whether to execute or skip the genera...