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A modern portfolio process should optimize expected return under tail-risk controls and explicit factor exposure constraints.

LLMs are useful in quant finance when applied to research operations and hypothesis generation, not as a direct price oracle.
Strong in-sample signals often collapse live. The failure is usually engineering and validation design, not pure math.
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