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COVERAGE
When you evaluate an AI or quantitative manager, which of the following do you typically explore?
Select all that apply.
How the manager selected which variables or signals to include in the model
How the model performs across different market regimes and what happens when it fails
Whether the manager can explain why the model made a specific trade or decision
How sensitive the model's results are to changes in its design choices or parameters
None of these specifically. I focus primarily on track record and risk metrics.
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