Machine learning for international trading strategies

Jupyter Notebook Financial markets’ broadening access to point-in-time economic indicators across countries offers a robust foundation for diversified international trading strategies. The central challenge lies in combining multiple macro factors into a single positioning signal for each country—drawing on statistical patterns from both global and country-specific (local) experiences. To address this, we propose a novel […]