Rehan Prabhatbhai Chavda

Enhanced Gold Price Prediction and Automated Trading Using FinBERT, CEEMDAN, Attention-LSTM and Proximal Policy Optimization

Accurate gold price prediction and automated trading remain challenging due to the non-stationary, noisy nature of financial time series and the influence of macroeconomic factors. While Awad et al. demonstrated the effectiveness of combining NLP with a vanilla Deep Q-Network (DQN) trained on VMD-decomposed signals and...