Advanced Predictive Algorithm Project: Copper Price Forecasting

This project presents a predictive algorithm designed for forecasting copper prices. The methodology refines existing approaches by considering both transient and stationary market dynamics, incorporating additional market data beyond historical prices. The algorithm addresses the inherent volatility of commodity prices, specifically for copper. The project includes a detailed analysis of the algorithm's speed and accuracy, and provides the mathematical and statistical models used for the prediction. The project also explores cross-validation techniques to assess the model's robustness and generalizability. The solution provides the implementation details of the algorithm along with the code snippets used to perform the analysis and includes results, graphs, and statistical tests. The project concludes with an evaluation of the algorithm's performance, highlighting its ability to accurately predict copper prices based on the data provided.