Asset managers have struggled to apply machine learning to generate trading signals successfully. Instead, applying machine learning to determine the probability of profit of existing trading signals is very fruitful - this is Corrective AI. Taking this one step further, we developed Conditional Portfolio Optimization, a portfolio optimization technique that adapts to market regimes via machine learning. Applications on portfolios in vastly different markets suggest that CPO can outperform traditional optimization methods under varying market regimes.
Ernest Chan Discusses Corrective AI and Conditional Portfolio Optimization