Mohammad Reza Badami

Strategic Evaluation and Implementation of Machine Learning Models for Predicting Price Volatility in the Steel Commodity Market: A Comparative Study with the Foreign Exchange Market for Commercial Decision-Making

LSTM was the most accurate forecasting model, whereas DQN was the most effective model for converting market information into profitable and risk-controlled commercial decisions and to evaluate their usefulness for commercial decision-making.