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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.
