Pictet's AI-enhanced ETFs (PQNT and PQUS) use machine learning (gradient boosting on decision trees) on over 400 features to forecast 20-day relative returns. They aim for a beta of 1 to their benchmarks (MSCI EAFE for PQNT, S&P 500 for PQUS) and target 1–2% annual outperformance, functioning as passive replacement products.
Pictet's AI-enhanced ETFs (PQNT and PQUS) use machine learning (gradient boosting on decision trees) on over 400 features to forecast 20-day relative returns. They aim for a beta of 1 to their benchmarks (MSCI EAFE for PQNT, S&P 500 for PQUS) and target 1–2% annual outperformance, functioning as passive replacement products.