Solving Gold Market Overfitting: A Predictive Machine Learning Approach
Solving Gold Market Overfitting: A Predictive Machine Learning Approach with ONNX and Gradient Boosting Case Study: The “Golden Gauss” Architecture Author: Daglox Kankwanda ORCID: 0009-0000-8306-0938Technical Paper: Zenodo Repository (DOI: 10.5281/zenodo.18646499) Contents Introduction The Core Problems in Algorithmic Trading Methodology System Architecture Feature Engineering Validation and Results Trade Management Honest Limitations Conclusion Implementation & Availability References…
